{"total":15,"rows":[{"id":"2403.11903","title":"A Closer Look at Claim Decomposition","created":"2024-03-18","cited_by_count":41,"area":null},{"id":"2401.16475","title":"InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification","created":"2024-01-29","cited_by_count":14,"area":null},{"id":"2502.14613","title":"Behavioral Analysis of Information Salience in Large Language Models","created":"2025-02-20","cited_by_count":12,"area":null},{"id":"2505.18658","title":"Robustness in Large Language Models: A Survey of Mitigation Strategies and Evaluation Metrics","created":"2025-05-24","cited_by_count":12,"area":null},{"id":"2502.08080","title":"NLI under the Microscope: What Atomic Hypothesis Decomposition Reveals","created":"2025-02-12","cited_by_count":11,"area":null},{"id":"2503.15354","title":"Optimizing Decomposition for Optimal Claim Verification","created":"2025-03-19","cited_by_count":10,"area":null},{"id":"2310.14198","title":"QA-NatVer: Question Answering for Natural Logic-based Fact Verification","created":"2023-10-22","cited_by_count":8,"area":null},{"id":"2504.11582","title":"AskQE: Question Answering as Automatic Evaluation for Machine Translation","created":"2025-04-15","cited_by_count":7,"area":null},{"id":"2505.20209","title":"Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data Selection","created":"2025-05-26","cited_by_count":4,"area":null},{"id":"2408.12095","title":"uMedSum: A Unified Framework for Advancing Medical Abstractive Summarization","created":"2024-08-22","cited_by_count":3,"area":null},{"id":"2509.18901","title":"Extractive Fact Decomposition for Interpretable Natural Language Inference in one Forward Pass","created":"2025-09-23","cited_by_count":3,"area":null},{"id":"2601.06528","title":"Atomic-SNLI: Fine-Grained Natural Language Inference through Atomic Fact Decomposition","created":"2026-01-10","cited_by_count":3,"area":null},{"id":"2604.02866","title":"LLM-based Atomic Propositions help weak extractors: Evaluation of a Propositioner for triplet extraction","created":"2026-04-03","cited_by_count":1,"area":null},{"id":"2402.04787","title":"A Hypothesis-Driven Framework for the Analysis of Self-Rationalising Models","created":"2024-02-07","cited_by_count":0,"area":null},{"id":"2610.15158","title":"Learning Proposition-Level Links from Sentence-Level Supervision for Neuro-Symbolic NLI","created":"2026-10-10","cited_by_count":0,"area":null}],"next_cursor":null}