{"total":111,"rows":[{"id":"2402.17753","title":"Evaluating Very Long-Term Conversational Memory of LLM Agents","created":"2024-02-27","cited_by_count":830,"area":"agents"},{"id":"2309.15025","title":"Large Language Model Alignment: A Survey","created":"2023-09-26","cited_by_count":243,"area":"alignment"},{"id":"2405.14782","title":"Lessons from the Trenches on Reproducible Evaluation of Language Models","created":"2024-05-23","cited_by_count":179,"area":null},{"id":"2402.14207","title":"Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models","created":"2024-02-22","cited_by_count":154,"area":null},{"id":"2307.16877","title":"Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering","created":"2023-07-31","cited_by_count":151,"area":null},{"id":"2406.19276","title":"VERISCORE: Evaluating the factuality of verifiable claims in long-form text generation","created":"2024-06-27","cited_by_count":117,"area":null},{"id":"2307.02762","title":"PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations","created":"2023-07-06","cited_by_count":114,"area":null},{"id":"2309.07852","title":"ExpertQA: Expert-Curated Questions and Attributed Answers","created":"2023-09-14","cited_by_count":97,"area":null},{"id":"2406.04744","title":"CRAG -- Comprehensive RAG Benchmark","created":"2024-06-07","cited_by_count":97,"area":"rag"},{"id":"2410.19258","title":"Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning","created":"2024-10-25","cited_by_count":97,"area":"lr"},{"id":"2309.16349","title":"Human Feedback is not Gold Standard","created":"2023-09-28","cited_by_count":83,"area":"alignment"},{"id":"2406.00034","title":"Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories","created":"2024-05-26","cited_by_count":77,"area":"mechinterp"},{"id":"2407.10817","title":"Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation","created":"2024-07-15","cited_by_count":74,"area":null},{"id":"2408.13006","title":"Systematic Evaluation of LLM-as-a-Judge in LLM Alignment Tasks: Explainable Metrics and Diverse Prompt Templates","created":"2024-08-23","cited_by_count":72,"area":"alignment"},{"id":"2311.09184","title":"Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization","created":"2023-11-15","cited_by_count":69,"area":null},{"id":"2307.16883","title":"HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution","created":"2023-07-31","cited_by_count":56,"area":null},{"id":"2502.14127","title":"Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above","created":"2025-02-19","cited_by_count":52,"area":null},{"id":"2501.02189","title":"A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges","created":"2025-01-04","cited_by_count":47,"area":"mllm"},{"id":"2310.12150","title":"Understanding Retrieval Augmentation for Long-Form Question Answering","created":"2023-10-18","cited_by_count":45,"area":null},{"id":"2408.15232","title":"Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations","created":"2024-08-27","cited_by_count":43,"area":"agents"},{"id":"2406.06560","title":"Inverse Constitutional AI: Compressing Preferences into Principles","created":"2024-06-02","cited_by_count":41,"area":"alignment"},{"id":"2502.08554","title":"Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies","created":"2025-02-12","cited_by_count":39,"area":null},{"id":"2309.17050","title":"Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models","created":"2023-09-29","cited_by_count":35,"area":"rag"},{"id":"2406.19371","title":"Suri: Multi-constraint Instruction Following for Long-form Text Generation","created":"2024-06-27","cited_by_count":34,"area":"alignment"},{"id":"2408.11865","title":"How Susceptible are LLMs to Influence in Prompts?","created":"2024-08-17","cited_by_count":33,"area":null},{"id":"2409.14664","title":"Direct Judgement Preference Optimization","created":"2024-09-23","cited_by_count":33,"area":"alignment"},{"id":"2412.13091","title":"LMUnit: Fine-grained Evaluation with Natural Language Unit Tests","created":"2024-12-17","cited_by_count":33,"area":null},{"id":"2410.23000","title":"Long$^2$RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall","created":"2024-10-30","cited_by_count":32,"area":"rag"},{"id":"2402.11161","title":"PEDANTS: Cheap but Effective and Interpretable Answer Equivalence","created":"2024-02-17","cited_by_count":31,"area":null},{"id":"2406.17761","title":"CaLMQA: Exploring culturally specific long-form question answering across 23 languages","created":"2024-06-25","cited_by_count":31,"area":null},{"id":"2404.12318","title":"Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment","created":"2024-04-18","cited_by_count":26,"area":"alignment"},{"id":"2406.13663","title":"Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation","created":"2024-06-19","cited_by_count":25,"area":"rag"},{"id":"2401.15042","title":"PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models","created":"2024-01-26","cited_by_count":24,"area":null},{"id":"2503.15620","title":"Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings","created":"2025-03-19","cited_by_count":24,"area":null},{"id":"2504.15068","title":"The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models","created":"2025-04-21","cited_by_count":24,"area":"rag"},{"id":"2310.02932","title":"Assessing Large Language Models on Climate Information","created":"2023-10-04","cited_by_count":23,"area":null},{"id":"2405.00982","title":"On the Evaluation of Machine-Generated Reports","created":"2024-05-02","cited_by_count":23,"area":null},{"id":"2502.13668","title":"PeerQA: A Scientific Question Answering Dataset from Peer Reviews","created":"2025-02-19","cited_by_count":22,"area":null},{"id":"2501.15749","title":"LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System","created":"2025-01-27","cited_by_count":21,"area":"agents"},{"id":"2405.12701","title":"OLAPH: Improving Factuality in Biomedical Long-form Question Answering","created":"2024-05-21","cited_by_count":20,"area":null},{"id":"2408.06303","title":"Long-Form Answers to Visual Questions from Blind and Low Vision People","created":"2024-08-12","cited_by_count":18,"area":"mllm"},{"id":"2602.03619","title":"Learning Query-Specific Rubrics from Human Preferences for DeepResearch Report Generation","created":"2026-02-03","cited_by_count":18,"area":"alignment"},{"id":"2505.11080","title":"BLEUBERI: BLEU is a surprisingly effective reward for instruction following","created":"2025-05-16","cited_by_count":17,"area":"alignment"},{"id":"2312.14591","title":"Reasons to Reject? Aligning Language Models with Judgments","created":"2023-12-22","cited_by_count":15,"area":"lr"},{"id":"2505.15872","title":"InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation","created":"2025-05-21","cited_by_count":15,"area":"rag"},{"id":"2311.09542","title":"Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering","created":"2023-11-16","cited_by_count":14,"area":null},{"id":"2406.13124","title":"Learning to Generate Answers with Citations via Factual Consistency Models","created":"2024-06-19","cited_by_count":13,"area":null},{"id":"2503.04800","title":"HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation","created":"2025-03-03","cited_by_count":13,"area":"rag"},{"id":"2506.20100","title":"MIRAGE: A Benchmark for Multimodal Information-Seeking and Reasoning in Agricultural Expert-Guided Conversations","created":"2025-06-25","cited_by_count":13,"area":"lr"},{"id":"2404.11826","title":"AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence","created":"2024-04-18","cited_by_count":12,"area":null},{"id":"2408.01419","title":"DebateQA: Evaluating Question Answering on Debatable Knowledge","created":"2024-08-02","cited_by_count":12,"area":null},{"id":"2402.11176","title":"KnowTuning: Knowledge-aware Fine-tuning for Large Language Models","created":"2024-02-17","cited_by_count":11,"area":null},{"id":"2406.16746","title":"The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources","created":"2024-06-24","cited_by_count":11,"area":null},{"id":"2311.15562","title":"Fully Authentic Visual Question Answering Dataset from Online Communities","created":"2023-11-27","cited_by_count":9,"area":null},{"id":"2406.18134","title":"Assessing \"Implicit\" Retrieval Robustness of Large Language Models","created":"2024-06-26","cited_by_count":9,"area":"rag"},{"id":"2412.07183","title":"Exploring What Why and How: A Multifaceted Benchmark for Causation Understanding of Video Anomaly","created":"2024-12-10","cited_by_count":9,"area":null},{"id":"2502.00977","title":"Context-Aware Hierarchical Merging for Long Document Summarization","created":"2025-02-03","cited_by_count":9,"area":null},{"id":"2502.20730","title":"DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinking","created":"2025-02-28","cited_by_count":9,"area":null},{"id":"2503.15272","title":"MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration","created":"2025-03-19","cited_by_count":9,"area":"agents"},{"id":"2505.13346","title":"J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization","created":"2025-05-19","cited_by_count":9,"area":"lr"},{"id":"2505.16973","title":"VeriFastScore: Speeding up long-form factuality evaluation","created":"2025-05-22","cited_by_count":8,"area":null},{"id":"2505.19163","title":"SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs","created":"2025-05-25","cited_by_count":8,"area":null},{"id":"2305.19271","title":"Concise Answers to Complex Questions: Summarization of Long-form Answers","created":"2023-05-30","cited_by_count":7,"area":null},{"id":"2402.03469","title":"Rethinking the Role of Proxy Rewards in Language Model Alignment","created":"2024-02-02","cited_by_count":7,"area":"lr"},{"id":"2403.01774","title":"WebCiteS: Attributed Query-Focused Summarization on Chinese Web Search Results with Citations","created":"2024-03-04","cited_by_count":7,"area":null},{"id":"2404.07060","title":"Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study","created":"2024-04-10","cited_by_count":7,"area":"rag"},{"id":"2410.06203","title":"Integrating Planning into Single-Turn Long-Form Text Generation","created":"2024-10-08","cited_by_count":7,"area":null},{"id":"2503.01695","title":"Generate, Discriminate, Evolve: Enhancing Context Faithfulness via Fine-Grained Sentence-Level Self-Evolution","created":"2025-03-03","cited_by_count":7,"area":"rag"},{"id":"2405.13022","title":"LLMs can learn self-restraint through iterative self-reflection","created":"2024-05-15","cited_by_count":6,"area":null},{"id":"2505.23295","title":"How Does Response Length Affect Long-Form Factuality","created":"2025-05-29","cited_by_count":6,"area":null},{"id":"2502.12769","title":"How Much Do LLMs Hallucinate across Languages? On Realistic Multilingual Estimation of LLM Hallucination","created":"2025-02-18","cited_by_count":5,"area":null},{"id":"2502.14759","title":"On the Influence of Context Size and Model Choice in Retrieval-Augmented Generation Systems","created":"2025-02-20","cited_by_count":5,"area":"rag"},{"id":"2511.02770","title":"Beyond Single Embeddings: Capturing Diverse Targets with Multi-Query Retrieval","created":"2025-11-04","cited_by_count":5,"area":null},{"id":"2603.06942","title":"Deep Research, Shallow Evaluation: A Case Study in Meta-Evaluation for Long-Form QA Benchmarks","created":"2026-03-06","cited_by_count":5,"area":null},{"id":"2310.16147","title":"PreWoMe: Exploiting Presuppositions as Working Memory for Long Form Question Answering","created":"2023-10-24","cited_by_count":4,"area":null},{"id":"2407.11930","title":"Localizing and Mitigating Errors in Long-form Question Answering","created":"2024-07-16","cited_by_count":4,"area":null},{"id":"2504.11381","title":"RankAlign: A Ranking View of the Generator-Validator Gap in Large Language Models","created":"2025-04-15","cited_by_count":4,"area":null},{"id":"2506.16024","title":"From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation","created":"2025-06-19","cited_by_count":4,"area":null},{"id":"2507.19995","title":"VLQA: The First Comprehensive, Large, and High-Quality Vietnamese Dataset for Legal Question Answering","created":"2025-07-26","cited_by_count":4,"area":null},{"id":"2509.24678","title":"Reference-Free Rating of LLM Responses via Latent Information","created":"2025-09-29","cited_by_count":4,"area":null},{"id":"2601.03534","title":"Persona-aware and Explainable Bikeability Assessment: A Vision-Language Model Approach","created":"2026-01-07","cited_by_count":4,"area":null},{"id":"2608.11683","title":"FrontierFinance: A Challenging Benchmark for Measuring Frontier Intelligence of Finance Agents","created":"2026-08-12","cited_by_count":4,"area":"agents"},{"id":"2312.03042","title":"Inherent limitations of LLMs regarding spatial information","created":"2023-12-05","cited_by_count":3,"area":null},{"id":"2410.01945","title":"LFQA-E: Carefully Benchmarking Long-form QA Evaluation","created":"2024-10-02","cited_by_count":3,"area":null},{"id":"2503.16575","title":"Extract, Match, and Score: An Evaluation Paradigm for Long Question-context-answer Triplets in Financial Analysis","created":"2025-03-20","cited_by_count":3,"area":null},{"id":"2409.10482","title":"Schrodinger's Memory: Large Language Models","created":"2024-09-16","cited_by_count":2,"area":null},{"id":"2410.09623","title":"Quebec Automobile Insurance Question-Answering With Retrieval-Augmented Generation","created":"2024-10-12","cited_by_count":2,"area":"rag"},{"id":"2503.06778","title":"Large Language Models Are Effective Human Annotation Assistants, But Not Good Independent Annotators","created":"2025-03-09","cited_by_count":2,"area":null},{"id":"2509.21856","title":"KnowMT-Bench: Benchmarking Knowledge-Intensive Long-Form Question Answering in Multi-Turn Dialogues","created":"2025-09-26","cited_by_count":2,"area":null},{"id":"2407.01158","title":"Learning to Explore and Select for Coverage-Conditioned Retrieval-Augmented Generation","created":"2024-07-01","cited_by_count":1,"area":"rag"},{"id":"2412.19906","title":"Evaluate Summarization in Fine-Granularity: Auto Evaluation with LLM","created":"2024-12-27","cited_by_count":1,"area":null},{"id":"2501.12746","title":"EvidenceMap: Learning Evidence Analysis to Unleash the Power of Small Language Models for Biomedical Question Answering","created":"2025-01-22","cited_by_count":1,"area":null},{"id":"2602.21059","title":"An Expert Schema for Evaluating Large Language Model Errors in Scholarly Question-Answering Systems","created":"2026-02-24","cited_by_count":1,"area":null},{"id":"2607.05694","title":"Beyond Heuristic Tuning: Power-Calibrated LLM Watermarking","created":"2026-07-06","cited_by_count":1,"area":"safety"},{"id":"2608.25869","title":"Anchoring Bias in LLM-as-a-Judge Systems: Prior Scores Compromise Evaluation Independence","created":"2026-08-26","cited_by_count":1,"area":null},{"id":"2401.13170","title":"CFMatch: Aligning Automated Answer Equivalence Evaluation with Expert Judgments For Open-Domain Question Answering","created":"2024-01-24","cited_by_count":0,"area":null},{"id":"2406.14695","title":"Depth $F_1$: Improving Evaluation of Cross-Domain Text Classification by Measuring Semantic Generalizability","created":"2024-06-20","cited_by_count":0,"area":null},{"id":"2408.11903","title":"Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian Philosophy","created":"2024-08-21","cited_by_count":0,"area":"rag"},{"id":"2510.06426","title":"FinLFQA: Evaluating Attributed Text Generation of LLMs in Financial Long-Form Question Answering","created":"2025-10-07","cited_by_count":0,"area":null},{"id":"2510.18880","title":"Towards Better Health Conversations: The Benefits of Context-seeking","created":"2025-09-14","cited_by_count":0,"area":null}],"next_cursor":"100"}