The wire
Every source our editors and Cyclotron have accepted, newest first. Each card says who accepted it.
Accepted
- Accepted automaticallyContextual Drag: How Errors in the Context Affect LLM Reasoning
Accepted automaticallyLost in the Middle: How Language Models Use Long Contexts
Accepted automaticallyFound in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization- Accepted automaticallyA Path Towards Autonomous Machine Intelligence
- Accepted automaticallyARC: Active and Reflection-driven Context Management for Long-Horizon Information Seeking Agents
- Accepted automaticallyConstitutional Classifiers++: Efficient Production-Grade Defenses against Universal Jailbreaks
Accepted automaticallySafeguarding large language models: a survey- Accepted automaticallyShaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
- Accepted automaticallyScaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs
- Accepted automaticallyProvable Scaling Laws for the Test-Time Compute
- Accepted automaticallyLarge Language Monkeys: Scaling Inference Compute
- Accepted automaticallyBeyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws
- Accepted automaticallyEvaluating the Robustness of Chinchilla Compute-Optimal Scaling
- Accepted automaticallyResolving Discrepancies in Compute-Optimal Scaling of Language Models
- Accepted automaticallyAn Information Theory of Compute-Optimal Size Scaling, Emergence, and Plateaus in Language Models
- Accepted automaticallyTraining Compute-Optimal Large Language Models
- Accepted automaticallyGrammar-Constrained Decoding for Structured NLP Tasks without Finetuning
- Accepted automaticallyGroup Sequence Policy Optimization —
- Accepted automaticallyA General Theoretical Paradigm to Understand Learning from Human Preferences
- Accepted automaticallyEvolution Strategies as a Scalable Alternative to Reinforcement Learning
- Accepted automaticallyLoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
- Accepted automaticallyNot what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection
Accepted automaticallyKnowledge Graph and Large Language Model Co-learning via Structure-oriented Retrieval Augmented Generation- Accepted automaticallyHeterogeneous LLM Methods for Ontology Learning (Few-Shot Prompting, Ensemble Typing, and Attention-Based Taxonomies)
- Accepted automaticallyTransformers as Meta-Learners for Implicit Neural Representations
- Accepted automaticallyPause and Reflect: Conformal Aggregation for Chain-of-Thought Reasoning
- Accepted automaticallyInteractive Learning from Policy-Dependent Human Feedback
- Accepted automaticallyFairness Feedback Loops: Training on Synthetic Data Amplifies Bias
- Accepted automaticallyReward-rational (implicit) choice: A unifying formalism for reward learning
- Accepted automaticallySnorkel: Rapid Training Data Creation with Weak Supervision
- Accepted automaticallyMulti-domain Multi-modal Document Classification Benchmark with a Multi-level Taxonomy
- Accepted automaticallyMatching Networks for One Shot Learning
- Accepted automaticallyRAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical Texts
- Accepted automaticallySiren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
- Accepted automaticallyScaling Laws in Scientific Discovery with AI and Robot Scientists
- Accepted automaticallyLearning to Compare: Relation Network for Few-Shot Learning
- Accepted automaticallyKimi k1.5: Scaling Reinforcement Learning with LLMs
- Accepted automaticallyAndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents
- Accepted automaticallyAI Psychometrics: Evaluating the Psychological Reasoning of Large Language Models with Psychometric Validities
- Accepted automaticallyTRACE: Transport Alignment Conformal Prediction via Diffusion and Flow Matching Models
- Accepted automaticallyDRAW: A Recurrent Neural Network For Image Generation
- Accepted automaticallyStatistical Modeling: The Two Cultures
- Accepted automaticallyEfficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving
- Accepted automaticallyQwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution —
- Accepted automaticallySemantic Enrichment of the Quantum Cascade Laser Properties in Text- A Knowledge Graph Generation Approach
- Accepted automaticallyDirect Preference Optimization: Your Language Model is Secretly a Reward Model
- Accepted automaticallyUnderstanding Black-box Predictions via Influence Functions
- Accepted automaticallyOntology Learning with LLMs: A Benchmark Study on Axiom Identification
- Accepted automaticallySTAR: Synthesis of Tailored Architectures
- Accepted automaticallyQuasi-Recurrent Neural Networks
- Accepted automatically8785
- Accepted automaticallyEfficient Estimation of Word Representations in Vector Space
- Accepted automaticallyDocument Understanding Dataset and Evaluation (DUDE)
Accepted automaticallyThe AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery- Accepted automaticallyThe Dynamic Embedded Topic Model
- Accepted automaticallyMulti-modal Synthetic Data Training and Model Collapse: Insights from VLMs and Diffusion Models
- Accepted automaticallyJudging LLM-as-a-Judge with MT-Bench and Chatbot Arena
- Accepted automaticallyDistillation as a Defense to Adversarial Perturbations against Deep Neural Networks
- Accepted automaticallyProximal Policy Optimization Algorithms
- Accepted automaticallyMMDuet2
- Accepted automaticallyPrimeKG-CL: A Continual Graph Learning Benchmark on Evolving Biomedical Knowledge Graphs
- Accepted automaticallyLearning from Crowds by Modeling Common Confusions
- Accepted automaticallyQuality-Diversity Algorithms Can Provably Be Helpful for Optimization
- Accepted automaticallyHypothesis Hunting with Evolving Networks of Autonomous Scientific Agents
- Accepted automaticallyTableBank: A Benchmark Dataset for Table Detection and Recognition
- Accepted automaticallyCLIP-Driven Semantic Discovery Network for Visible-Infrared Person Re-Identification
- Accepted automaticallySTART: Self-taught Reasoner with Tools
- Accepted automaticallyKGiRAG: An Iterative GraphRAG Approach for Responding Sensemaking Queries
- Accepted automaticallyA Closer Look at Few-shot Classification
- Accepted automaticallyEfficient Human-in-the-Loop Active Learning: A Novel Framework for Data Labeling in AI Systems
- Accepted automaticallyWhen Predictions Shape Reality: A Socio-Technical Synthesis of Performative Predictions in Machine Learning
- Accepted automaticallyMiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models —
- Accepted automaticallySTEAM: Self-Supervised Taxonomy Expansion with Mini-Paths
- Accepted automaticallyObfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
- Accepted automaticallyVisualizing and Understanding Convolutional Networks
- Accepted automaticallyBridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation
- Accepted automaticallyLayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding
- Accepted automaticallyOpen Ontologies: Tool-Augmented Ontology Engineering with Stable Matching Alignment
- Accepted automaticallyA ConvNet for the 2020s
- Accepted automaticallyUFO: A UI-Focused Agent for Windows OS Interaction
- Accepted automaticallyTopicGPT: A Prompt-based Topic Modeling Framework
- Accepted automaticallyBatch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- Accepted automaticallyBenchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning
- Accepted automaticallyUnifying Vision, Text, and Layout for Universal Document Processing
- Accepted automaticallyVideo-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding —
- Accepted automaticallyGPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
- Accepted automaticallyOpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework
- Accepted automaticallyIs Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
- Accepted automaticallyLongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
- Accepted automaticallyarXiv:2308.10848v3 [cs.CL] 23 Oct 2023
- Accepted automaticallyCausal schema induction for knowledge discovery
- Accepted automaticallyUncertainty Quantification and Confidence Calibration in Large Language Models: A Survey
- Accepted automaticallyDocSLM: A Small Vision-Language Model for Long Multimodal Document Understanding
- Accepted automaticallyOpen Set Domain Adaptation By Novel Class Discovery
- Accepted automaticallyWhat learning algorithm is in-context learning? Investigations with linear models
- Accepted automaticallyMinimal and Mechanistic Conditions for Behavioral Self-Awareness in LLMs
- Accepted automaticallyTowards Deep Learning Models Resistant to Adversarial Attacks
- Accepted automaticallyContinual Fine-Tuning of Large Language Models via Program Memory
- Accepted automaticallyMeta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge
- Accepted automaticallyInefficiencies of Meta Agents for Agent Design
- Accepted automaticallyModel Collapse Demystified: The Case of Regression
- Accepted automaticallyFrom Noise to Signal: When Outliers Seed New Topics
- Accepted automaticallyTaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters
- Accepted automaticallyPerformative Reinforcement Learning
- Accepted automaticallyTell me about yourself: LLMs are aware of their learned behaviors
- Accepted automaticallySelf-Consuming Generative Models Go MAD
- Accepted automaticallyOmniParser for Pure Vision Based GUI Agent
- Accepted automaticallyProvable Offline Preference-Based Reinforcement Learning
Accepted automaticallyFramewise Phoneme Classification with Bidirectional LSTM and Other Neural Network Architectures- Accepted automaticallyRULER: What's the Real Context Size of Your Long-Context Language Models?
- Accepted automaticallyMMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
- Accepted automaticallyDeep Anomaly Detection with Outlier Exposure
- Accepted automaticallyStreamo
- Accepted automaticallySelf-Instruct: Aligning Language Models with Self-Generated Instructions
- Accepted automaticallyDocument Understanding, Measurement, and Manipulation Using Category Theory
- Accepted automaticallyRetrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
- Accepted automaticallyEvolutionary thoughts: integration of large language models and evolutionary algorithms
- Accepted automaticallyDeep learning from crowds
- Accepted automaticallyImproving Factuality and Reasoning in Language Models through Multiagent Debate - OpenReview
- Accepted automaticallyAggregated Residual Transformations for Deep Neural Networks
- Accepted automaticallyDifferentiable Quality Diversity
- Accepted automaticallyOn the Calibration of Large Language Models and Alignment
- Accepted automaticallyMeasuring AI Ability to Complete Long Tasks —
- Accepted automaticallyKnowledge Graph-Guided Retrieval Augmented Generation
- Accepted automaticallyLLMs4OL: Large Language Models for Ontology Learning
- Accepted automaticallyTraining Verifiers to Solve Math Word Problems
- Accepted automaticallyAdaptive Conformal Prediction for Improving Factuality of Generations by Large Language Models
- Accepted automaticallyEvaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia | OpenReview
- Accepted automaticallyAlphaEvolve: A coding agent for scientific and algorithmic discovery
- Accepted automatically[2307.07924] ChatDev: Communicative Agents for Software Development - arXiv
Accepted automaticallyAn Overview of the Tesseract OCR Engine- Accepted automaticallyNo Free Lunch Theorems for Optimization
- Accepted automaticallyQuality Diversity Through Surprise
- Accepted automaticallyHippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
- Accepted automaticallyPersonaPlex: Voice and Role Control for Full Duplex Conversational Speech Models
- Accepted automaticallyComplexity Agnostic Recursive Decomposition of Thoughts (CARD) —
- Accepted automaticallyGrid Long Short-Term Memory
- Accepted automaticallyWho Is Responsible? Self-Adaptation Under Multiple Concurrent Uncertainties With Unknown Sources in Complex ROS-Based Systems
- Accepted automaticallyEasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models
- Accepted automaticallyDomain Generalization: A Survey
- Accepted automaticallyBenchmarking Table Extraction: Multimodal LLMs vs Traditional OCR - ACL Anthology
- Accepted automaticallyReinforcement Learning Enhanced LLMs: A Survey
- Accepted automaticallyOnline Operator Design in Evolutionary Optimization for Flexible Job Shop Scheduling via Large Language Models
- Accepted automaticallyStreaming Video Question-Answering with In-context Video KV-Cache Retrieval —
- Accepted automaticallyFundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network
- Accepted automaticallyVery Deep Convolutional Networks for Text Classification
- Accepted automaticallyFEVER: a large-scale dataset for Fact Extraction and VERification
- Accepted automaticallyA Knowledge Graph and a Tripartite Evaluation Framework Make Retrieval-Augmented Generation Scalable and Transparent
- Accepted automaticallyIndicDLP: A Foundational Dataset for Multi-Lingual and Multi-Domain Document Layout Parsing
- Accepted automaticallyTrue Few-Shot Learning with Language Models
- Accepted automaticallyLanguage Model Self-improvement by Reinforcement Learning Contemplation
- Accepted automaticallyRecurrent Highway Networks
- Accepted automaticallyTADAM: Task dependent adaptive metric for improved few-shot learning
- Accepted automaticallyDetecting and Correcting for Label Shift with Black Box Predictors
- Accepted automaticallyContinual Learning of Natural Language Processing Tasks: A Survey
- Accepted automaticallyLecture 2 Knowledge Curation
- Accepted automaticallyDAPO: An Open-Source LLM Reinforcement Learning System at Scale
- Accepted automaticallyCogBias: Measuring and Mitigating Cognitive Bias in Large Language Models
- Accepted automaticallyWindows Agent Arena: Evaluating Multi-Modal OS Agents at Scale
- Accepted automaticallyLLaVA-OneVision: Easy Visual Task Transfer —
- Accepted automaticallyMaximum Entropy Inverse Reinforcement Learning
- Accepted automaticallyReinforcement Learning from Human Feedback: A Statistical Perspective
- Accepted automaticallyLLMs Position Themselves as More Rational Than Humans: Emergence of AI Self-Awareness Measured Through Game Theory
- Accepted automaticallyBoostTaxo: Zero-Shot Taxonomy Induction via Boosting-Style Agentic Reasoning and Constraint-Aware Calibration
- Accepted automaticallyMemMachine: A Ground-Truth-Preserving Memory System for Personalized AI Agents
- Accepted automaticallyMind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
- Accepted automaticallyNeuro-Symbolic Artificial Intelligence: A Task-Directed Survey in the Black-Box Models Era
- Accepted automaticallyHypothesis-Driven Theory-of-Mind Reasoning for Large Language Models
- Accepted automaticallyPerformative Prediction
- Accepted automaticallyMedusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
- Accepted automaticallyTowards Reliable and Fluent Large Language Models: Incorporating Feedback Learning Loops in QA Systems
- Accepted automaticallyMixtral of Experts
- Accepted automaticallyFinetuned Language Models Are Zero-Shot Learners
- Accepted automaticallyOne-shot Learning with Memory-Augmented Neural Networks
- Accepted automaticallyYoutu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning
- Accepted automaticallySequential Short-Text Classification with Recurrent and Convolutional Neural Networks
- Accepted automaticallyRecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications
- Accepted automaticallyLarge Language Models Cannot Self-Correct Reasoning Yet
- Accepted automaticallyDistributed Representations of Words and Phrases and their Compositionality
- Accepted automaticallyRecurrent Neural Network Based Language Model
- Accepted automaticallyLeveraging Large Language Models (LLMs) for Process Mining (Technical Report)
- Accepted automaticallydMel: Discrete Speech Representation for Speech Generation —
- Accepted automaticallyImproving Interactive In-Context Learning from Natural Language Feedback
- Accepted automaticallyInvestigating Multi-source Active Learning for Natural Language Inference
- Accepted automaticallyLarge Language Models Have Intrinsic Meta-Cognition, but Need a Good Lens
- Accepted automaticallyPrefixGuard: From LLM-Agent Traces to Online Failure-Warning Monitors
- Accepted automaticallyLearning from Crowds with Crowd-Kit
- Accepted automaticallyPTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks
- Accepted automaticallyEnhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations
- Accepted automaticallyNovaLAD: A Fast, CPU-Optimized Document Extraction Pipeline for Generative AI and Data Intelligence
- Accepted automaticallyMeta-SGD: Learning to Learn Quickly for Few-Shot Learning
- Accepted automaticallyImproving neural networks by preventing co-adaptation of feature detectors
- Accepted automaticallyUnderstanding the Anchoring Effect of LLM with Synthetic Data: Existence, Mechanism, and Potential Mitigations
Accepted automaticallyAgentRxiv: Towards Collaborative Autonomous Research- Accepted automaticallyChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning —
- Accepted automaticallyAre self-explanations from Large Language Models faithful?
- Accepted automaticallyDataset Distillation with Infinitely Wide Convolutional Networks
- Accepted automaticallyEvolvability Degeneration in Multi-Objective Genetic Programming for Symbolic Regression
- Accepted automaticallyWeighted Maximum Entropy Inverse Reinforcement Learning
- Accepted automaticallyPEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction
- Accepted automaticallyEfficient Self-Improvement in Multimodal Large Language Models: A Model-Level Judge-Free Approach
- Accepted automaticallyLayer Normalization
- Accepted automaticallyHidden Technical Debt in Machine Learning Systems
- Accepted automaticallyECHO: Continuous Hierarchical Memory for Vision-Language-Action Models
- Accepted automaticallyBeyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
- Accepted automaticallyNetTaxo: Automated Topic Taxonomy Construction from Large-Scale Text-Rich Network
- Accepted automaticallyEmpirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
- Accepted automaticallySelf-Refine: Iterative Refinement with Self-Feedback
Accepted automaticallyPiFlow: Principle-aware Scientific Discovery with Multi-Agent Collaboration- Accepted automaticallyTowards Machine Theory of Mind with Large Language Model-Augmented Inverse Planning
- Accepted automaticallySkill Learning Using Process Mining for Large Language Model Plan Generation
- Accepted automaticallyforum
- Accepted automaticallyWhat Does BERT Look At? An Analysis of BERT's Attention
- Accepted automaticallyUCF-101: A dataset of 101 human actions classes from videos in the wil —
- Accepted automaticallyGraphFLEx: Structure Learning Framework for Large Expanding Graphs
- Accepted automaticallyOntologyRAG: Better and Faster Biomedical Code Mapping with Retrieval-Augmented Generation (RAG) Leveraging Ontology Knowledge Graphs and Large Language Models
- Accepted automaticallyNewsGPT: ChatGPT Integration for Robot-Reporter
- Accepted automaticallyMemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory
- Accepted automaticallyLong Term Memory: The Foundation of AI Self-Evolution
- Accepted automaticallyResearch on Graph-Retrieval Augmented Generation Based on Historical Text Knowledge Graphs
- Accepted automaticallyCRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
- Accepted automaticallyGradient-Based Learning Applied to Document Recognition
- Accepted automaticallyLEXI: Large Language Models Experimentation Interface
- Accepted automaticallySTRIVE: Structured Reasoning for Self-Improvement in Claim Verification
- Accepted automaticallyMegaRAG: Multimodal Knowledge Graph-Based Retrieval Augmented Generation
- Accepted automaticallyThe CMA Evolution Strategy: A Tutorial
- Accepted automaticallyKITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding
- Accepted automaticallySynthesizing Robust Adversarial Examples
- Accepted automaticallyChemCrow: Augmenting large-language models with chemistry tools
- Accepted automaticallyFine-Tuning Language Models from Human Preferences
- Accepted automaticallyProgram Synthesis with Large Language Models
- Accepted automaticallyMini-Omni: Language Models Can Hear, Talk While Thinking in Streaming —
- Accepted automaticallyLearning under Distributed Weak Supervision
- Accepted automaticallyTeaching Language Models to Self-Improve by Learning from Language Feedback
- Accepted automaticallyMulti-Label Text Classification using Attention-based Graph Neural Network
- Accepted automaticallyStreamingBench: Assessing the Gap for MLLMs to Achieve Streaming Video Understanding —
- Accepted automaticallyA Simple Neural Attentive Meta-Learner
- Accepted automaticallyA Survey on Open Information Extraction from Rule-based Model to Large Language Model
- Accepted automaticallyDSG: An End-to-End Document Structure Generator
- Accepted automaticallySelf-Reflection in LLM Agents: Effects on Problem-Solving Performance
- Accepted automaticallyOntology Generation using Large Language Models
- Accepted automaticallyPreference-based Reinforcement Learning beyond Pairwise Comparisons: Benefits of Multiple Options
- Accepted automaticallyRepresenter Point Selection for Explaining Deep Neural Networks
- Accepted automaticallyTaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering - Jiawei Han
- Accepted automaticallyNatural Evolution Strategies
- Accepted automaticallyUnderstanding the Dark Side of LLMs' Intrinsic Self-Correction
- Accepted automaticallyGPA: Learning GUI Process Automation from Demonstrations
- Accepted automaticallyLarge Language Models for Behavioral Economics: Internal Validity and Elicitation of Mental Models
- Accepted automaticallyDo Wider Neural Networks Really Help Adversarial Robustness?
- Accepted automaticallyPrompting Is Programming: A Query Language for Large Language Models
- Accepted automaticallyAssisting in Writing Wikipedia-like Articles From Scratch with Large Language Models - ACL Anthology
- Accepted automaticallyBackpropagation Applied to Handwritten Zip Code Recognition
- Accepted automaticallyMagentic-One: A Generalist Multi-Agent System for Solving Complex Tasks - arXiv
- Accepted automaticallyApprenticeship Learning via Inverse Reinforcement Learning
- Accepted automaticallyRank, Chunk, and Expand: Lineage-Oriented Reasoning for Taxonomy Expansion - ACL Anthology
- Accepted automaticallySum-Product Networks for Sequence Labeling
- Accepted automaticallyRelation-Rich Visual Document Generator for Visual Information Extraction
- Accepted automaticallyDesigning Network Design Spaces
Accepted automaticallyCan LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers- Accepted automaticallyHybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction
- Accepted automaticallyALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Accepted automaticallySciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning- Accepted automaticallyLayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
- Accepted automaticallyImplementing spectral methods for hidden Markov models with real-valued emissions
- Accepted automaticallyTaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering
- Accepted automaticallyWhen Graph Meets Retrieval Augmented Generation for Wireless Networks: A Tutorial and Case Study
- Accepted automaticallyPosition: Theory of Mind Benchmarks are Broken for Large Language Models
- Accepted automaticallyHow to train your MAML
- Accepted automaticallySVBench: A Benchmark with Temporal Multi-Turn Dialogues for Streaming Video Understanding —
Accepted automaticallyMachine behaviour- Accepted automaticallySELF: Self-Evolution with Language Feedback
Accepted automaticallyHierarchical Attention Networks for Document Classification- Accepted automaticallyA Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion
- Accepted automaticallyWide Residual Networks
Accepted automaticallyDifferential Evolution - A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces
- Accepted automaticallyDeepFool: a simple and accurate method to fool deep neural networks
- Accepted automaticallyMIRROR: A Hierarchical Benchmark for Metacognitive Calibration in Large Language Models
- Accepted automaticallyLoRA: Low-Rank Adaptation of Large Language Models
- Accepted automaticallyXLNet: Generalized Autoregressive Pretraining for Language Understanding
- Accepted automaticallyA Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving
- Accepted automaticallyImproving Automatic Evaluation of Large Language Models (LLMs) in Biomedical Relation Extraction via LLMs-as-the-Judge - ACL Anthology
Accepted automaticallyInteraction Models: A Scalable Approach to Human-AI Collaboration- Accepted automaticallyTraining a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
- Accepted automaticallyCrowd-Certain: Label Aggregation in Crowdsourced and Ensemble Learning Classification
- Accepted automaticallyR1-ShareVL: Incentivizing Reasoning Capability of Multimodal Large Language Models via Share-GRPO
- Accepted automaticallyStructured Prediction in NLP -- A survey
- Accepted automaticallyNeuroevolution in Deep Neural Networks: Current Trends and Future Challenges
- Accepted automaticallyWindowsWorld: A Process-Centric Benchmark of Autonomous GUI Agents in Professional Cross-Application Environments
- Accepted automaticallyOntoAligner: A Comprehensive Modular and Robust Python Toolkit for Ontology Alignment
- Accepted automaticallyTowards Fast Computation of Certified Robustness for ReLU Networks
- Accepted automaticallyImageNet Classification with Deep Convolutional Neural Networks
- Accepted automaticallyTaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora
- Accepted automaticallyWhat is Artificial Intelligence? Psychometric AI as an Answer
- Accepted automaticallyProactiveVideoQA
- Accepted automatically[2502.14321] Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems - arXiv
- Accepted automaticallyEvaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia - arXiv
- Accepted automaticallyAgents of Change: Self-Evolving LLM Agents for Strategic Planning
- Accepted automaticallyNeuroevolution in Games: State of the Art and Open Challenges
- Accepted automaticallyAutomated Hypothesis Validation with Agentic Sequential Falsifications
- Accepted automaticallyTopic Modeling in Embedding Spaces
- Accepted automaticallyDo Language Models Know When They're Hallucinating References?
- Accepted automaticallyParameter-Efficient Transfer Learning for NLP
- Accepted automaticallyRecurrent Neural Network for Text Classification with Multi-Task Learning
- Accepted automaticallyVisualizing and Understanding Recurrent Networks
- Accepted automaticallyMagentic-One: A Generalist Multi-Agent System for Solving Complex Tasks - Microsoft
- Accepted automaticallyReformer: The Efficient Transformer
- Accepted automaticallyMobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- Accepted automaticallyCode Llama: Open Foundation Models for Code
- Accepted automaticallyData Shapley: Equitable Valuation of Data for Machine Learning
- Accepted automaticallyConnectionist Temporal Classification: Labelling Unsegmented Sequence Data with Recurrent Neural Networks
- Accepted automaticallyDetecting Anomalous Events in Object-centric Business Processes via Graph Neural Networks
- Accepted automaticallySM3-Text-to-Query: Synthetic Multi-Model Medical Text-to-Query Benchmark
- Accepted automaticallyUnified Reward Model for Multimodal Understanding and Generation
- Accepted automaticallyWebGPT: Browser-assisted question-answering with human feedback
- Accepted automaticallyLinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora
- Accepted automaticallyImproving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
- Accepted automaticallySequence Transduction with Recurrent Neural Networks
- Accepted automaticallyOptimized Table Tokenization for Table Structure Recognition
- Accepted automaticallyMeta-Learning for Semi-Supervised Few-Shot Classification
- Accepted automaticallyEstimating Training Data Influence by Tracing Gradient Descent
Accepted automaticallyCodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts- Accepted automaticallyNot All RAGs Are Created Equal: A Component-Wise Empirical Study for Software Engineering Tasks
- Accepted automaticallyRAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
- Accepted automatically2501.13958
- Accepted automaticallyLLM-empowered knowledge graph construction: A survey
- Accepted automaticallyVery Deep Convolutional Networks for Large-Scale Image Recognition
- Accepted automaticallyReinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism
- Accepted automaticallyBART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
- Accepted automaticallyNeural Machine Translation by Jointly Learning to Align and Translate
- Accepted automaticallyPsychometric artificial intelligence
- Accepted automaticallyPlan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models
- Accepted automaticallyGeneralized Out-of-Distribution Detection: A Survey
- Accepted automaticallyIlluminating search spaces by mapping elites
- Accepted automaticallyNEORL: NeuroEvolution Optimization with Reinforcement Learning
- Accepted automaticallyA Survey of Reinforcement Learning from Human Feedback
- Accepted automaticallyRewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning
- Accepted automaticallyMind2Web: Towards a Generalist Agent for the Web
- Accepted automaticallyAgentopic: A Generative AI Agent Workflow for Explainable Topic Modeling
- Accepted automaticallyRoBERTa: A Robustly Optimized BERT Pretraining Approach
- Accepted automaticallyToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
- Accepted automaticallyDistributed Representations of Sentences and Documents
- Accepted automaticallyEvaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
- Accepted automaticallyFinDocMRE: A Benchmark for Document-Level Financial Multimodal Reasoni —
- Accepted automaticallyTaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora - ACL Anthology
- Accepted automaticallyLaser: Governing Long-Horizon Agentic Search via Structured Protocol and Context Register
- Accepted automaticallyThe Calibration Gap between Model and Human Confidence in Large Language Models
- Accepted automaticallyAIGS: Generating Science from AI-Powered Automated Falsification
- Accepted automaticallyDiscovering Representations for Black-box Optimization
- Accepted automaticallySelf-Adaptive Cognitive Debiasing for Large Language Models in Decision-Making
- Accepted automaticallyGrammar as a Foreign Language
- Accepted automaticallyELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
- Accepted automaticallyData-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language
- Accepted automaticallyA Survey on Ontology Enrichment from Text
- Accepted automaticallyCognitive Biases in Large Language Models: A Survey and Mitigation Experiments
- Accepted automaticallyTowards Open Set Deep Networks
- Accepted automaticallyRLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness
- Accepted automaticallyEnhancing Visually-Rich Document Understanding via Layout Structure Modeling
- Accepted automaticallyReVeal: Self-Evolving Code Agents via Reliable Self-Verification
- Accepted automaticallySHIELD: LLM-Driven Schema Induction for Predictive Analytics in EV Battery Supply Chain Disruptions
- Accepted automaticallyEvoMem: Improving Multi-Agent Planning with Dual-Evolving Memory
- Accepted automaticallyTagRAG: Tag-guided Hierarchical Knowledge Graph Retrieval-Augmented Generation
- Accepted automaticallyHave Large Language Models Developed a Personality?: Applicability of Self-Assessment Tests in Measuring Personality in LLMs
- Accepted automaticallyTowards Mitigating Hallucination in Large Language Models via Self-Reflection
- Accepted automaticallyMaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformer —
- Accepted automaticallyF5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching —
- Accepted automaticallyHow Bad is Training on Synthetic Data? A Statistical Analysis of Language Model Collapse
- Accepted automaticallyAgentRxiv: Towards Collaborative Autonomous Research
- Accepted automaticallyLatent Dirichlet Allocation
- Accepted automaticallyOccuBench: Evaluating AI Agents on Real-World Professional Tasks via Language World Models
- Accepted automaticallyCBAM: Convolutional Block Attention Module
Accepted automaticallyContext-Aware Hierarchical Taxonomy Generation for Scientific ...- Accepted automaticallyOntology Embedding: A Survey of Methods, Applications and Resources
- Accepted automaticallyHarvesting Event Schemas from Large Language Models
- Accepted automaticallyPaperQA: Retrieval-Augmented Generative Agent for Scientific Research
- Accepted automaticallydl.acm.org
- Accepted automaticallyNeuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models
- Accepted automaticallyMirror: A Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning
- Accepted automaticallyLMRPA: Large Language Model-Driven Efficient Robotic Process Automation for OCR
- Accepted automaticallyOrality and Literacy: The Technologizing of the Word (Ong 1982) —
- Accepted automaticallyUncertainty Quantification for Large Language Diffusion Models
- Accepted automaticallyAttnGen: Attention-Guided Saliency Learning for Interpretable Genomic Sequence Classification
- Accepted automaticallySimple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
- Accepted automaticallyLong Short-Term Memory
- Accepted automaticallySciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning
- Accepted automaticallyLearning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
- Accepted automaticallyA Survey of Uncertainty in Deep Neural Networks
- Accepted automaticallySelfAI: A self-directed framework for long-horizon scientific discovery
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- Accepted automaticallyLanguage Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations
- Accepted automaticallyGPT-4V(ision) is a Generalist Web Agent, if Grounded
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- Accepted automaticallyMutaGReP: Execution-Free Repository-Grounded Plan Search for Code-Use
- Accepted automaticallyThe AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
- Accepted automaticallyCogVLM: Visual Expert for Pretrained Language Models
- Accepted automaticallyCausal Structure Learning for Dynamical Systems with Theoretical Score Analysis
- Accepted automaticallyActive Prompting with Chain-of-Thought for Large Language Models
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- Accepted automaticallyData Programming: Creating Large Training Sets, Quickly
- Accepted automaticallyNeural Unsupervised Domain Adaptation in NLP---A Survey
- Accepted automaticallyGraph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces
- Accepted automaticallyA Survey on Self-Evolution of Large Language Models
Accepted automaticallyRevisiting Relation Extraction in the era of Large Language Models ...- Accepted automaticallyDocument Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction
- Accepted automaticallyOWL2Vec*: Embedding of OWL Ontologies
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- Accepted automaticallyAURA
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- Accepted automaticallyLabel Selection Approach to Learning from Crowds
Accepted automaticallyMOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search- Accepted automaticallyUncertainty in Physics and AI: Taxonomy, Quantification, and Validation
- Accepted automaticallyLarge Language Model Psychometrics: A Systematic Review of Evaluation, Validation, and Enhancement
- Accepted automaticallyAn Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
- Accepted automaticallyCalibration of Neural Networks
- Accepted automaticallyMultimodal Safety Evaluation in Generative Agent Social Simulations
- Accepted automaticallyPre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence
- Accepted automaticallyIterative Topic Taxonomy Induction with LLMs: A Case Study of Electoral Advertising
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- Accepted automaticallySoftware Engineering for Self-Adaptive Systems: A Research Roadmap
- Accepted automaticallyDocBank: A Benchmark Dataset for Document Layout Analysis
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- Accepted automaticallyFLAME: Self-Supervised Low-Resource Taxonomy Expansion using Large Language Models
- Accepted automaticallyGENRES: Rethinking Evaluation for Generative ... - ACL Anthology
- Accepted automaticallyDeep Learning-Based Operators for Evolutionary Algorithms
- Accepted automaticallyMeta-learning with differentiable closed-form solvers
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- Accepted automaticallyDeep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
- Accepted automaticallyGenerate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning
- Accepted automaticallyGoing Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer
- Accepted automaticallyOMNI: Open-endedness via Models of human Notions of Interestingness
- Accepted automaticallyLeveraging LLM for Automated Ontology Extraction and Knowledge Graph Generation
- Accepted automaticallyCoT-Valve: Length-Compressible Chain-of-Thought Tuning
- Accepted automaticallyConcept Bottleneck Models
- Accepted automaticallyUnsupervised Data Augmentation for Consistency Training
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- Accepted automaticallyOn the Burden of Achieving Fairness in Conformal Prediction
- Accepted automaticallyKosmos: An AI Scientist for Autonomous Discovery
- Accepted automaticallyVARCO-VISION-2.0 Technical Report
- Accepted automaticallyQLoRA: Efficient Finetuning of Quantized LLMs
- Accepted automaticallyMulti-Agent Debate Strategies to Enhance Requirements Engineering with Large Language Models - arXiv
- Accepted automaticallyTraining language models to follow instructions with human feedback
- Accepted automaticallyDecoupled Weight Decay Regularization —
- Accepted automaticallyActive Learning Literature Survey
- Accepted automaticallyBaselines and Bigrams: Simple, Good Sentiment and Topic Classification
- Accepted automaticallyStarSpace: Embed All The Things!
- Accepted automaticallyAutoSurvey: Large Language Models Can Automatically Write Surveys
- Accepted automaticallyQwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
- Accepted automaticallyInternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling —
- Accepted automaticallyEnhancing Knowledge Graph Construction Using Large Language Models
- Accepted automaticallyOn Calibration of Modern Neural Networks
- Accepted automaticallyGorilla: Large Language Model Connected with Massive APIs
- Accepted automaticallyR1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization
- Accepted automaticallyTabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables
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- Accepted automaticallyA comparative analysis of large language models versus traditional information extraction methods for real-world evidence of patient symptomatology in acute and post-acute sequelae of SARS-CoV-2
Accepted automaticallySupervised Sequence Labelling with Recurrent Neural Networks
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