{"total":18,"rows":[{"id":"2311.08298","title":"A Survey of Confidence Estimation and Calibration in Large Language Models","created":"2023-11-14","cited_by_count":256,"area":null},{"id":"2304.14399","title":"We're Afraid Language Models Aren't Modeling Ambiguity","created":"2023-04-27","cited_by_count":126,"area":null},{"id":"2210.16133","title":"Stop Measuring Calibration When Humans Disagree","created":"2022-10-28","cited_by_count":71,"area":null},{"id":"2305.14663","title":"You Are What You Annotate: Towards Better Models through Annotator Representations","created":"2023-05-24","cited_by_count":40,"area":null},{"id":"2305.13788","title":"Can Large Language Models Capture Dissenting Human Voices?","created":"2023-05-23","cited_by_count":33,"area":null},{"id":"2210.11773","title":"SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval","created":"2022-10-21","cited_by_count":21,"area":null},{"id":"2205.11308","title":"Symptom Identification for Interpretable Detection of Multiple Mental Disorders","created":"2022-05-23","cited_by_count":20,"area":null},{"id":"2402.16102","title":"Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?","created":"2024-02-25","cited_by_count":15,"area":null},{"id":"2505.01595","title":"Always Tell Me The Odds: Fine-grained Conditional Probability Estimation","created":"2025-05-02","cited_by_count":9,"area":null},{"id":"2507.15114","title":"From Disagreement to Understanding: The Case for Ambiguity Detection in NLI","created":"2025-07-20","cited_by_count":4,"area":null},{"id":"2310.14572","title":"Unveiling the Multi-Annotation Process: Examining the Influence of Annotation Quantity and Instance Difficulty on Model Performance","created":"2023-10-23","cited_by_count":3,"area":null},{"id":"2606.05376","title":"SHALA-LLM: Smartly Handling Ambiguous Labels in Aligning LLMs","created":"2026-06-03","cited_by_count":2,"area":null},{"id":"2305.15130","title":"On Degrees of Freedom in Defining and Testing Natural Language Understanding","created":"2023-05-24","cited_by_count":1,"area":null},{"id":"2306.07061","title":"Deep Model Compression Also Helps Models Capture Ambiguity","created":"2023-06-12","cited_by_count":1,"area":null},{"id":"2207.00187","title":"An Understanding-Oriented Robust Machine Reading Comprehension Model","created":"2022-07-01","cited_by_count":0,"area":null},{"id":"2312.08722","title":"Quantifying Divergence for Human-AI Collaboration and Cognitive Trust","created":"2023-12-14","cited_by_count":0,"area":null},{"id":"2604.16332","title":"Annotation Entropy Predicts Per-Example Learning Dynamics in LoRA Fine-Tuning","created":"2026-03-12","cited_by_count":0,"area":null},{"id":"2610.10805","title":"Whose Ground Truth? Embracing Ambiguity in Human-Centered AI","created":"2026-10-07","cited_by_count":0,"area":null}],"next_cursor":null}