{"total":201,"rows":[{"id":"2108.00573","title":"MuSiQue: Multihop Questions via Single-hop Question Composition","created":"2021-08-02","cited_by_count":916,"area":null},{"id":"2112.01488","title":"ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction","created":"2021-12-02","cited_by_count":476,"area":null},{"id":"2405.17428","title":"NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models","created":"2024-05-27","cited_by_count":472,"area":null},{"id":"2108.11896","title":"A Survey on Automated Fact-Checking","created":"2021-08-26","cited_by_count":378,"area":null},{"id":"2212.14024","title":"Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP","created":"2022-12-28","cited_by_count":318,"area":"rag"},{"id":"2406.11695","title":"Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs","created":"2024-06-17","cited_by_count":291,"area":null},{"id":"2401.15391","title":"MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries","created":"2024-01-27","cited_by_count":257,"area":"rag"},{"id":"2103.08541","title":"Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence","created":"2021-03-15","cited_by_count":225,"area":null},{"id":"2310.07521","title":"Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity","created":"2023-10-11","cited_by_count":206,"area":null},{"id":"2106.05707","title":"FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information","created":"2021-06-10","cited_by_count":167,"area":null},{"id":"2110.01799","title":"ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts","created":"2021-10-05","cited_by_count":148,"area":null},{"id":"2305.12744","title":"Fact-Checking Complex Claims with Program-Guided Reasoning","created":"2023-05-22","cited_by_count":146,"area":"lr"},{"id":"2305.11859","title":"Complex Claim Verification with Evidence Retrieved in the Wild","created":"2023-05-19","cited_by_count":110,"area":null},{"id":"2106.03794","title":"COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic","created":"2021-06-07","cited_by_count":100,"area":null},{"id":"2205.06938","title":"Generating Literal and Implied Subquestions to Fact-check Complex Claims","created":"2022-05-14","cited_by_count":66,"area":null},{"id":"2101.00436","title":"Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval","created":"2021-01-02","cited_by_count":63,"area":null},{"id":"2502.16923","title":"A Systematic Survey of Automatic Prompt Optimization Techniques","created":"2025-02-24","cited_by_count":63,"area":null},{"id":"2110.08222","title":"DialFact: A Benchmark for Fact-Checking in Dialogue","created":"2021-10-15","cited_by_count":62,"area":null},{"id":"2508.05668","title":"A Survey of LLM-based Deep Search Agents: Paradigm, Optimization, Evaluation, and Challenges","created":"2025-08-03","cited_by_count":62,"area":"agents"},{"id":"2202.11684","title":"MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset","created":"2022-02-23","cited_by_count":61,"area":null},{"id":"2305.06590","title":"FactKG: Fact Verification via Reasoning on Knowledge Graphs","created":"2023-05-11","cited_by_count":57,"area":null},{"id":"2305.16859","title":"Scientific Fact-Checking: A Survey of Resources and Approaches","created":"2023-05-26","cited_by_count":54,"area":null},{"id":"2205.12443","title":"Generating Natural Language Proofs with Verifier-Guided Search","created":"2022-05-25","cited_by_count":52,"area":null},{"id":"2305.13186","title":"SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables","created":"2023-05-22","cited_by_count":51,"area":"lr"},{"id":"2511.07025","title":"Llama-Embed-Nemotron-8B: A Universal Text Embedding Model for Multilingual and Cross-Lingual Tasks","created":"2025-11-10","cited_by_count":51,"area":null},{"id":"2104.04725","title":"Fool Me Twice: Entailment from Wikipedia Gamification","created":"2021-04-10","cited_by_count":50,"area":null},{"id":"2210.13865","title":"Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformation","created":"2022-10-25","cited_by_count":45,"area":null},{"id":"2204.07447","title":"Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters","created":"2022-04-15","cited_by_count":44,"area":null},{"id":"2511.07919","title":"Feedback Descent: Open-Ended Text Optimization via Pairwise Comparison","created":"2025-11-11","cited_by_count":44,"area":"alignment"},{"id":"2110.06176","title":"Mention Memory: incorporating textual knowledge into Transformers through entity mention attention","created":"2021-10-12","cited_by_count":43,"area":null},{"id":"2104.00640","title":"AmbiFC: Fact-Checking Ambiguous Claims with Evidence","created":"2021-04-01","cited_by_count":38,"area":null},{"id":"2206.11863","title":"CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking","created":"2022-06-06","cited_by_count":37,"area":null},{"id":"2310.05253","title":"Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models","created":"2023-10-08","cited_by_count":37,"area":"lr"},{"id":"2107.02153","title":"FaVIQ: FAct Verification from Information-seeking Questions","created":"2021-07-05","cited_by_count":36,"area":null},{"id":"2310.09754","title":"EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification","created":"2023-10-15","cited_by_count":36,"area":null},{"id":"2310.12086","title":"FactCHD: Benchmarking Fact-Conflicting Hallucination Detection","created":"2023-10-18","cited_by_count":29,"area":null},{"id":"2406.00936","title":"A Survey of Useful LLM Evaluation","created":"2024-06-03","cited_by_count":29,"area":null},{"id":"2502.09083","title":"Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking","created":"2025-02-13","cited_by_count":29,"area":null},{"id":"2505.18286","title":"Single-agent or Multi-agent Systems? Why Not Both?","created":"2025-05-23","cited_by_count":29,"area":"agents"},{"id":"2310.07609","title":"QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-Checking","created":"2023-10-11","cited_by_count":26,"area":null},{"id":"2305.04329","title":"FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering","created":"2023-05-07","cited_by_count":24,"area":null},{"id":"2408.14317","title":"Claim Verification in the Age of Large Language Models: A Survey","created":"2024-08-26","cited_by_count":24,"area":null},{"id":"2403.17169","title":"QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims","created":"2024-03-25","cited_by_count":23,"area":null},{"id":"2109.04912","title":"ReasonBERT: Pre-trained to Reason with Distant Supervision","created":"2021-09-10","cited_by_count":22,"area":null},{"id":"2510.16724","title":"A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applications","created":"2025-10-19","cited_by_count":22,"area":"rag"},{"id":"2310.13552","title":"Self-prompted Chain-of-Thought on Large Language Models for Open-domain Multi-hop Reasoning","created":"2023-10-20","cited_by_count":21,"area":"lr"},{"id":"2407.02351","title":"Generative Large Language Models in Automated Fact-Checking: A Survey","created":"2024-07-02","cited_by_count":19,"area":null},{"id":"2411.05764","title":"FinDVer: Explainable Claim Verification over Long and Hybrid-Content Financial Documents","created":"2024-11-08","cited_by_count":19,"area":null},{"id":"2502.17924","title":"FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models","created":"2025-02-25","cited_by_count":19,"area":"agents"},{"id":"2411.05375","title":"Ev2R: Evaluating Evidence Retrieval in Automated Fact-Checking","created":"2024-11-08","cited_by_count":18,"area":null},{"id":"2406.11514","title":"Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs","created":"2024-06-17","cited_by_count":17,"area":null},{"id":"2410.23214","title":"Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval","created":"2024-10-30","cited_by_count":17,"area":null},{"id":"2306.05523","title":"FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering","created":"2023-05-22","cited_by_count":16,"area":null},{"id":"2212.01060","title":"Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-Aware Graph Learning","created":"2022-12-02","cited_by_count":15,"area":null},{"id":"2302.07919","title":"COVID-VTS: Fact Extraction and Verification on Short Video Platforms","created":"2023-02-15","cited_by_count":15,"area":null},{"id":"2401.15498","title":"Do We Need Language-Specific Fact-Checking Models? The Case of Chinese","created":"2024-01-27","cited_by_count":15,"area":null},{"id":"2404.17283","title":"Reinforcement Retrieval Leveraging Fine-grained Feedback for Fact Checking News Claims with Black-Box LLM","created":"2024-04-26","cited_by_count":15,"area":"rag"},{"id":"2407.12853","title":"Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches","created":"2024-07-09","cited_by_count":15,"area":null},{"id":"2212.09683","title":"Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatments","created":"2022-12-19","cited_by_count":14,"area":null},{"id":"2311.04177","title":"Enhancing LLM Intelligence with ARM-RAG: Auxiliary Rationale Memory for Retrieval Augmented Generation","created":"2023-11-07","cited_by_count":14,"area":"rag"},{"id":"2210.09306","title":"Mitigating Covertly Unsafe Text within Natural Language Systems","created":"2022-10-17","cited_by_count":13,"area":null},{"id":"2506.13342","title":"Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers","created":"2025-06-16","cited_by_count":13,"area":null},{"id":"2508.03860","title":"Hallucination to Truth: A Review of Fact-Checking and Factuality Evaluation in Large Language Models","created":"2025-08-05","cited_by_count":13,"area":"rag"},{"id":"2207.14116","title":"Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Prediction","created":"2022-07-28","cited_by_count":12,"area":null},{"id":"2402.04335","title":"LegalLens: Leveraging LLMs for Legal Violation Identification in Unstructured Text","created":"2024-02-06","cited_by_count":12,"area":null},{"id":"2411.09547","title":"Piecing It All Together: Verifying Multi-Hop Multimodal Claims","created":"2024-11-14","cited_by_count":12,"area":null},{"id":"2605.10913","title":"Shepherd: Enabling Programmable Meta-Agents via Reversible Agentic Execution Traces","created":"2026-05-11","cited_by_count":12,"area":"agents"},{"id":"2111.03299","title":"Dataset of Fake News Detection and Fact Verification: A Survey","created":"2021-11-05","cited_by_count":11,"area":null},{"id":"2204.02007","title":"Fact Checking with Insufficient Evidence","created":"2022-04-05","cited_by_count":11,"area":null},{"id":"2212.05276","title":"Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verification","created":"2022-12-10","cited_by_count":11,"area":null},{"id":"2402.08277","title":"Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering","created":"2024-02-13","cited_by_count":11,"area":null},{"id":"2411.05060","title":"A Guide to Misinformation Detection Data and Evaluation","created":"2024-11-07","cited_by_count":10,"area":null},{"id":"2603.05912","title":"DeepFact: Co-Evolving Benchmarks and Agents for Deep Research Factuality","created":"2026-03-06","cited_by_count":10,"area":"agents"},{"id":"2310.14508","title":"EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification","created":"2023-10-23","cited_by_count":9,"area":null},{"id":"2408.10918","title":"CHECKWHY: Causal Fact Verification via Argument Structure","created":"2024-08-20","cited_by_count":9,"area":"lr"},{"id":"2412.17031","title":"A Reality Check on Context Utilisation for Retrieval-Augmented Generation","created":"2024-12-22","cited_by_count":9,"area":"rag"},{"id":"2411.19655","title":"Truth or Mirage? Towards End-to-End Factuality Evaluation with LLM-Oasis","created":"2024-11-29","cited_by_count":8,"area":null},{"id":"2502.16181","title":"BiDeV: Bilateral Defusing Verification for Complex Claim Fact-Checking","created":"2025-02-22","cited_by_count":8,"area":null},{"id":"2512.07436","title":"LocalSearchBench: Benchmarking Agentic Search in Real-World Local Life Services","created":"2025-12-08","cited_by_count":8,"area":"lr"},{"id":"2605.06235","title":"OBLIQ-Bench: Exposing Overlooked Bottlenecks in Modern Retrievers with Latent and Implicit Queries","created":"2026-05-07","cited_by_count":8,"area":null},{"id":"2302.12569","title":"Implicit Temporal Reasoning for Evidence-Based Fact-Checking","created":"2023-02-24","cited_by_count":7,"area":"lr"},{"id":"2602.07621","title":"SciClaimEval: Cross-modal Claim Verification in Scientific Papers","created":"2026-02-07","cited_by_count":7,"area":null},{"id":"2211.09388","title":"Data-Efficient Autoregressive Document Retrieval for Fact Verification","created":"2022-11-17","cited_by_count":6,"area":null},{"id":"2402.13025","title":"CFEVER: A Chinese Fact Extraction and VERification Dataset","created":"2024-02-20","cited_by_count":6,"area":null},{"id":"2505.12348","title":"Reasoning-CV: Fine-tuning Powerful Reasoning LLMs for Knowledge-Assisted Claim Verification","created":"2025-05-18","cited_by_count":6,"area":"lr"},{"id":"2605.09764","title":"LEVI: Stronger Search Architectures Can Substitute for Larger LLMs in Evolutionary Search","created":"2026-05-10","cited_by_count":6,"area":null},{"id":"2605.12484","title":"Learning, Fast and Slow: Towards LLMs That Adapt Continually","created":"2026-05-12","cited_by_count":6,"area":null},{"id":"2109.09689","title":"The Case for Claim Difficulty Assessment in Automatic Fact Checking","created":"2021-09-20","cited_by_count":5,"area":null},{"id":"2208.08749","title":"Active PETs: Active Data Annotation Prioritisation for Few-Shot Claim Verification with Pattern Exploiting Training","created":"2022-08-18","cited_by_count":5,"area":null},{"id":"2404.13985","title":"Information Re-Organization Improves Reasoning in Large Language Models","created":"2024-04-22","cited_by_count":5,"area":"lr"},{"id":"2410.03341","title":"Zero-Shot Fact Verification via Natural Logic and Large Language Models","created":"2024-10-04","cited_by_count":5,"area":null},{"id":"2505.22993","title":"Verify-in-the-Graph: Entity Disambiguation Enhancement for Complex Claim Verification with Interactive Graph Representation","created":"2025-05-29","cited_by_count":5,"area":null},{"id":"2506.14397","title":"Thunder-NUBench: A Benchmark for LLMs' Sentence-Level Negation Understanding","created":"2025-06-17","cited_by_count":5,"area":null},{"id":"2509.08463","title":"Adversarial Attacks Against Automated Fact-Checking: A Survey","created":"2025-09-10","cited_by_count":5,"area":null},{"id":"2510.01932","title":"Veri-R1: Toward Precise and Faithful Claim Verification via Online Reinforcement Learning","created":"2025-10-02","cited_by_count":5,"area":"lr"},{"id":"2601.22984","title":"Why Your Deep Research Agent Fails? On Hallucination Evaluation in Full Research Trajectory","created":"2026-01-30","cited_by_count":5,"area":"agents"},{"id":"2109.06480","title":"Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification","created":"2021-09-14","cited_by_count":4,"area":null},{"id":"2305.16128","title":"Give Me More Details: Improving Fact-Checking with Latent Retrieval","created":"2023-05-25","cited_by_count":4,"area":null},{"id":"2309.09444","title":"Investigating Zero- and Few-shot Generalization in Fact Verification","created":"2023-09-18","cited_by_count":4,"area":null},{"id":"2312.10171","title":"Pipeline and Dataset Generation for Automated Fact-checking in Almost Any Language","created":"2023-12-15","cited_by_count":4,"area":null}],"next_cursor":"100"}