{"total":145,"rows":[{"id":"2411.15124","title":"Tulu 3: Pushing Frontiers in Open Language Model Post-Training","created":"2024-11-22","cited_by_count":1053,"area":"lr"},{"id":"2410.10813","title":"LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory","created":"2024-10-14","cited_by_count":707,"area":null},{"id":"2310.03214","title":"FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation","created":"2023-10-05","cited_by_count":318,"area":null},{"id":"2209.10063","title":"Generate rather than Retrieve: Large Language Models are Strong Context Generators","created":"2022-09-21","cited_by_count":298,"area":null},{"id":"2403.08319","title":"Knowledge Conflicts for LLMs: A Survey","created":"2024-03-13","cited_by_count":283,"area":null},{"id":"2306.13304","title":"ToolQA: A Dataset for LLM Question Answering with External Tools","created":"2023-06-23","cited_by_count":274,"area":"agents"},{"id":"2207.13332","title":"RealTime QA: What's the Answer Right Now?","created":"2022-07-27","cited_by_count":244,"area":null},{"id":"2310.16218","title":"Knowledge Editing for Large Language Models: A Survey","created":"2023-10-24","cited_by_count":194,"area":"lr"},{"id":"2305.13169","title":"A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity","created":"2023-05-22","cited_by_count":182,"area":null},{"id":"2110.03215","title":"Towards Continual Knowledge Learning of Language Models","created":"2021-10-07","cited_by_count":174,"area":null},{"id":"2310.06117","title":"Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models","created":"2023-10-09","cited_by_count":159,"area":"lr"},{"id":"2506.09038","title":"AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions","created":"2025-06-10","cited_by_count":145,"area":"lr"},{"id":"2210.13701","title":"Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence","created":"2022-10-25","cited_by_count":144,"area":null},{"id":"2203.05115","title":"Internet-augmented language models through few-shot prompting for open-domain question answering","created":"2022-03-10","cited_by_count":131,"area":null},{"id":"2205.11388","title":"StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models","created":"2022-05-23","cited_by_count":126,"area":null},{"id":"2407.18418","title":"Know Your Limits: A Survey of Abstention in Large Language Models","created":"2024-07-25","cited_by_count":121,"area":null},{"id":"2204.14211","title":"TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models","created":"2022-04-29","cited_by_count":119,"area":null},{"id":"2407.12043","title":"The Art of Saying No: Contextual Noncompliance in Language Models","created":"2024-07-02","cited_by_count":105,"area":null},{"id":"2210.03050","title":"State-of-the-art generalisation research in NLP: A taxonomy and review","created":"2022-10-06","cited_by_count":98,"area":null},{"id":"2111.07408","title":"Time Waits for No One! Analysis and Challenges of Temporal Misalignment","created":"2021-11-14","cited_by_count":91,"area":null},{"id":"2410.13788","title":"Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions","created":"2024-10-17","cited_by_count":76,"area":null},{"id":"2402.11782","title":"What Evidence Do Language Models Find Convincing?","created":"2024-02-19","cited_by_count":75,"area":"rag"},{"id":"2506.01062","title":"SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models","created":"2025-06-01","cited_by_count":75,"area":"lr"},{"id":"2211.17257","title":"CREPE: Open-Domain Question Answering with False Presuppositions","created":"2022-11-30","cited_by_count":72,"area":null},{"id":"2308.16149","title":"Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models","created":"2023-08-30","cited_by_count":69,"area":null},{"id":"2305.01651","title":"Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge","created":"2023-05-02","cited_by_count":67,"area":null},{"id":"2305.14613","title":"Selectively Answering Ambiguous Questions","created":"2023-05-24","cited_by_count":66,"area":null},{"id":"2303.18027","title":"Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations","created":"2023-03-31","cited_by_count":63,"area":null},{"id":"2410.15999","title":"Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering","created":"2024-10-21","cited_by_count":63,"area":"mechinterp"},{"id":"2404.11972","title":"Aligning Language Models to Explicitly Handle Ambiguity","created":"2024-04-18","cited_by_count":56,"area":"agents"},{"id":"2205.02832","title":"Entity Cloze By Date: What LMs Know About Unseen Entities","created":"2022-05-05","cited_by_count":55,"area":null},{"id":"2310.15747","title":"Large Language Models are Temporal and Causal Reasoners for Video Question Answering","created":"2023-10-24","cited_by_count":51,"area":"lr"},{"id":"2406.20079","title":"Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification","created":"2024-06-28","cited_by_count":44,"area":null},{"id":"2306.08952","title":"Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models","created":"2023-06-15","cited_by_count":37,"area":"lr"},{"id":"2310.16570","title":"Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models","created":"2023-10-25","cited_by_count":32,"area":null},{"id":"2505.20099","title":"Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities","created":"2025-05-26","cited_by_count":31,"area":null},{"id":"2202.08772","title":"A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models","created":"2022-02-17","cited_by_count":30,"area":null},{"id":"2110.06884","title":"ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers","created":"2021-10-13","cited_by_count":29,"area":null},{"id":"2212.10711","title":"Task Ambiguity in Humans and Language Models","created":"2022-12-20","cited_by_count":28,"area":null},{"id":"2311.05876","title":"Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications","created":"2023-11-10","cited_by_count":28,"area":null},{"id":"2504.18838","title":"Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks","created":"2025-04-26","cited_by_count":28,"area":null},{"id":"2207.00746","title":"INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions","created":"2022-07-02","cited_by_count":27,"area":null},{"id":"2311.08002","title":"TempTabQA: Temporal Question Answering for Semi-Structured Tables","created":"2023-11-14","cited_by_count":27,"area":null},{"id":"2408.06816","title":"MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty","created":"2024-08-13","cited_by_count":27,"area":null},{"id":"2305.13808","title":"Asking Clarification Questions to Handle Ambiguity in Open-Domain QA","created":"2023-05-23","cited_by_count":26,"area":null},{"id":"2405.08460","title":"Is Your LLM Outdated? A Deep Look at Temporal Generalization","created":"2024-05-14","cited_by_count":26,"area":null},{"id":"2402.16797","title":"Set the Clock: Temporal Alignment of Pretrained Language Models","created":"2024-02-26","cited_by_count":25,"area":null},{"id":"2506.08500","title":"DRAGged into Conflicts: Detecting and Addressing Conflicting Sources in Search-Augmented LLMs","created":"2025-06-10","cited_by_count":25,"area":"rag"},{"id":"2311.16842","title":"RELIC: Investigating Large Language Model Responses using Self-Consistency","created":"2023-11-28","cited_by_count":23,"area":"lr"},{"id":"2402.05733","title":"TimeArena: Shaping Efficient Multitasking Language Agents in a Time-Aware Simulation","created":"2024-02-08","cited_by_count":23,"area":"agents"},{"id":"2406.02472","title":"Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding","created":"2024-06-04","cited_by_count":23,"area":null},{"id":"2405.18027","title":"TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models","created":"2024-05-28","cited_by_count":22,"area":null},{"id":"2203.11027","title":"Reasoning over Public and Private Data in Retrieval-Based Systems","created":"2022-03-14","cited_by_count":21,"area":null},{"id":"2204.12785","title":"Plug-and-Play Adaptation for Continuously-updated QA","created":"2022-04-27","cited_by_count":21,"area":null},{"id":"2305.14824","title":"Mitigating Temporal Misalignment by Discarding Outdated Facts","created":"2023-05-24","cited_by_count":21,"area":null},{"id":"2404.12447","title":"AmbigDocs: Reasoning across Documents on Different Entities under the Same Name","created":"2024-04-18","cited_by_count":21,"area":null},{"id":"2410.15737","title":"Who's Who: Large Language Models Meet Knowledge Conflicts in Practice","created":"2024-10-21","cited_by_count":21,"area":"rag"},{"id":"2506.07461","title":"From Calibration to Collaboration: LLM Uncertainty Quantification Should Be More Human-Centered","created":"2025-06-09","cited_by_count":21,"area":null},{"id":"2407.06249","title":"CodeUpdateArena: Benchmarking Knowledge Editing on API Updates","created":"2024-07-08","cited_by_count":19,"area":null},{"id":"2411.08324","title":"Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle","created":"2024-11-13","cited_by_count":19,"area":null},{"id":"2311.08106","title":"Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models","created":"2023-11-14","cited_by_count":18,"area":null},{"id":"2402.16568","title":"Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models","created":"2024-02-26","cited_by_count":18,"area":null},{"id":"2410.04068","title":"ECon: On the Detection and Resolution of Evidence Conflicts","created":"2024-10-05","cited_by_count":18,"area":null},{"id":"2410.12311","title":"Open Domain Question Answering with Conflicting Contexts","created":"2024-10-16","cited_by_count":18,"area":null},{"id":"2506.07671","title":"GaRAGe: A Benchmark with Grounding Annotations for RAG Evaluation","created":"2025-06-09","cited_by_count":18,"area":null},{"id":"2407.03525","title":"UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs' Memorization","created":"2024-07-03","cited_by_count":17,"area":null},{"id":"2412.15540","title":"MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering","created":"2024-12-20","cited_by_count":17,"area":null},{"id":"2310.05157","title":"MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models","created":"2023-10-08","cited_by_count":15,"area":"lr"},{"id":"2402.11034","title":"PAT-Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering","created":"2024-02-16","cited_by_count":15,"area":null},{"id":"2502.14258","title":"Does Time Have Its Place? Temporal Heads: Where Language Models Recall Time-specific Information","created":"2025-02-20","cited_by_count":15,"area":null},{"id":"2606.28733","title":"Agentic Abstention: Do Agents Know When to Stop Instead of Act?","created":"2026-06-27","cited_by_count":15,"area":"agents"},{"id":"2203.10079","title":"Simulating Bandit Learning from User Feedback for Extractive Question Answering","created":"2022-03-18","cited_by_count":14,"area":null},{"id":"2303.12860","title":"Salient Span Masking for Temporal Understanding","created":"2023-03-22","cited_by_count":14,"area":null},{"id":"2505.20243","title":"It's High Time: A Survey of Temporal Question Answering","created":"2025-05-26","cited_by_count":14,"area":null},{"id":"2211.07516","title":"Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQA","created":"2022-11-14","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":"2207.00758","title":"MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages","created":"2022-07-02","cited_by_count":11,"area":null},{"id":"2310.14709","title":"Once Upon a $\\textit{Time}$ in $\\textit{Graph}$: Relative-Time Pretraining for Complex Temporal Reasoning","created":"2023-10-23","cited_by_count":11,"area":"lr"},{"id":"2406.05606","title":"GrowOVER: How Can LLMs Adapt to Growing Real-World Knowledge?","created":"2024-06-09","cited_by_count":11,"area":null},{"id":"2602.01885","title":"ES-MemEval: Benchmarking Conversational Agents on Personalized Long-Term Emotional Support","created":"2026-02-02","cited_by_count":11,"area":"agents"},{"id":"2409.02361","title":"Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering","created":"2024-09-04","cited_by_count":10,"area":"rag"},{"id":"2406.11830","title":"Language Modeling with Editable External Knowledge","created":"2024-06-17","cited_by_count":9,"area":"rag"},{"id":"2409.16909","title":"Enhancing Temporal Sensitivity and Reasoning for Time-Sensitive Question Answering","created":"2024-09-25","cited_by_count":9,"area":"lr"},{"id":"2510.10390","title":"RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language Models","created":"2025-10-12","cited_by_count":9,"area":"rag"},{"id":"2406.00179","title":"Long-Span Question-Answering: Automatic Question Generation and QA-System Ranking via Side-by-Side Evaluation","created":"2024-05-31","cited_by_count":8,"area":null},{"id":"2407.11638","title":"A Comprehensive Evaluation of Large Language Models on Temporal Event Forecasting","created":"2024-07-16","cited_by_count":8,"area":"lr"},{"id":"2407.16030","title":"Enhancing Temporal Understanding in LLMs for Semi-structured Tables","created":"2024-07-22","cited_by_count":8,"area":"lr"},{"id":"2410.09870","title":"ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains","created":"2024-10-13","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":"2506.03984","title":"Around the World in 24 Hours: Probing LLM Knowledge of Time and Place","created":"2025-06-04","cited_by_count":7,"area":null},{"id":"2311.09632","title":"Online Continual Knowledge Learning for Language Models","created":"2023-11-16","cited_by_count":6,"area":null},{"id":"2404.04728","title":"Navigating the Landscape of Hint Generation Research: From the Past to the Future","created":"2024-04-06","cited_by_count":6,"area":null},{"id":"2404.09339","title":"Towards Practical Tool Usage for Continually Learning LLMs","created":"2024-04-14","cited_by_count":6,"area":"agents"},{"id":"2601.09760","title":"Investigating Tool-Memory Conflicts in Tool-Augmented LLMs","created":"2026-01-14","cited_by_count":6,"area":"agents"},{"id":"2204.03930","title":"From Rewriting to Remembering: Common Ground for Conversational QA Models","created":"2022-04-08","cited_by_count":5,"area":null},{"id":"2505.21115","title":"Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification to Improve Trustworthy QA","created":"2025-05-27","cited_by_count":5,"area":null},{"id":"2509.13664","title":"Sparse Neurons Carry Strong Signals of Question Ambiguity in LLMs","created":"2025-09-17","cited_by_count":5,"area":null},{"id":"2601.07506","title":"Judging Against the Reference: Uncovering Knowledge-Driven Failures in LLM-Judges on QA Evaluation","created":"2026-01-12","cited_by_count":5,"area":null},{"id":"2308.08661","title":"Answering Ambiguous Questions with a Database of Questions, Answers, and Revisions","created":"2023-08-16","cited_by_count":4,"area":null},{"id":"2310.15129","title":"Location-Aware Visual Question Generation with Lightweight Models","created":"2023-10-23","cited_by_count":4,"area":null}],"next_cursor":"100"}