{"total":47,"rows":[{"id":"2402.00367","title":"Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration","created":"2024-02-01","cited_by_count":180,"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":"2407.12043","title":"The Art of Saying No: Contextual Noncompliance in Language Models","created":"2024-07-02","cited_by_count":105,"area":null},{"id":"2404.13081","title":"SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs","created":"2024-04-17","cited_by_count":67,"area":null},{"id":"2211.07443","title":"Calibrated Interpretation: Confidence Estimation in Semantic Parsing","created":"2022-11-14","cited_by_count":33,"area":null},{"id":"2509.25760","title":"TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning","created":"2025-09-30","cited_by_count":27,"area":null},{"id":"2306.08751","title":"Improving Selective Visual Question Answering by Learning from Your Peers","created":"2023-06-14","cited_by_count":25,"area":null},{"id":"2310.10942","title":"UNK-VQA: A Dataset and a Probe into the Abstention Ability of Multi-modal Large Models","created":"2023-10-17","cited_by_count":25,"area":null},{"id":"2307.11471","title":"Robust Visual Question Answering: Datasets, Methods, and Future Challenges","created":"2023-07-21","cited_by_count":23,"area":null},{"id":"2301.09460","title":"HRVQA: A Visual Question Answering Benchmark for High-Resolution Aerial Images","created":"2023-01-23","cited_by_count":21,"area":null},{"id":"2304.03693","title":"Model-Agnostic Gender Debiased Image Captioning","created":"2023-04-07","cited_by_count":17,"area":null},{"id":"2403.15879","title":"TrustSQL: Benchmarking Text-to-SQL Reliability with Penalty-Based Scoring","created":"2024-03-23","cited_by_count":17,"area":null},{"id":"2408.07303","title":"Enhancing Visual Question Answering through Ranking-Based Hybrid Training and Multimodal Fusion","created":"2024-08-14","cited_by_count":16,"area":null},{"id":"2406.15948","title":"Teaching LLMs to Abstain across Languages via Multilingual Feedback","created":"2024-06-22","cited_by_count":14,"area":null},{"id":"2407.01942","title":"Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness","created":"2024-07-02","cited_by_count":14,"area":null},{"id":"2310.17050","title":"Exploring Question Decomposition for Zero-Shot VQA","created":"2023-10-25","cited_by_count":12,"area":null},{"id":"2305.07021","title":"Simple Token-Level Confidence Improves Caption Correctness","created":"2023-05-11","cited_by_count":11,"area":null},{"id":"2403.14715","title":"Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It","created":"2024-03-19","cited_by_count":11,"area":null},{"id":"2405.06673","title":"Overview of the EHRSQL 2024 Shared Task on Reliable Text-to-SQL Modeling on Electronic Health Records","created":"2024-05-04","cited_by_count":11,"area":null},{"id":"2512.04597","title":"When Robots Should Say \"I Don't Know\": Benchmarking Abstention in Embodied Question Answering","created":"2025-12-04","cited_by_count":10,"area":null},{"id":"2609.25845","title":"Visual Jev: Accurate and Efficient Decisions from Shared Visual Context","created":"2026-09-22","cited_by_count":9,"area":null},{"id":"2505.21701","title":"Do We Know What LLMs Don't Know? A Study of Consistency in Knowledge Probing","created":"2025-05-27","cited_by_count":8,"area":null},{"id":"2304.04906","title":"Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing","created":"2023-04-11","cited_by_count":7,"area":null},{"id":"2602.04755","title":"When Silence Is Golden: Can LLMs Learn to Abstain in Temporal QA and Beyond?","created":"2026-02-04","cited_by_count":7,"area":null},{"id":"2303.16857","title":"Did You Mean...? Confidence-based Trade-offs in Semantic Parsing","created":"2023-03-29","cited_by_count":5,"area":null},{"id":"2509.23499","title":"Multi-modal Data Spectrum: Multi-modal Datasets are Multi-dimensional","created":"2025-09-27","cited_by_count":3,"area":null},{"id":"2602.04924","title":"Knowing When to Answer: Adaptive Confidence Refinement for Reliable Audio-Visual Question Answering","created":"2026-02-04","cited_by_count":2,"area":null},{"id":"2305.05079","title":"A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution","created":"2023-05-08","cited_by_count":1,"area":null},{"id":"2404.01695","title":"Selective Temporal Knowledge Graph Reasoning","created":"2024-04-02","cited_by_count":1,"area":null},{"id":"2405.11145","title":"Detecting Multimodal Situations with Insufficient Context and Abstaining from Baseless Predictions","created":"2024-05-18","cited_by_count":1,"area":null},{"id":"2409.18645","title":"The Craft of Selective Prediction: Towards Reliable Case Outcome Classification -- An Empirical Study on European Court of Human Rights Cases","created":"2024-09-27","cited_by_count":1,"area":null},{"id":"2410.22648","title":"SimpsonsVQA: Enhancing Inquiry-Based Learning with a Tailored Dataset","created":"2024-10-30","cited_by_count":1,"area":null},{"id":"2507.17262","title":"VisionTrap: Unanswerable Questions On Visual Data","created":"2025-07-23","cited_by_count":1,"area":null},{"id":"2601.22570","title":"Leveraging Data to Say No: Memory Augmented Plug-and-Play Selective Prediction","created":"2026-01-30","cited_by_count":1,"area":null},{"id":"2606.32012","title":"CoMet: Context and Multiplicity Decomposition for Multimodal Uncertainty Estimation","created":"2026-06-30","cited_by_count":1,"area":null},{"id":"2402.15002","title":"CommVQA: Situating Visual Question Answering in Communicative Contexts","created":"2024-02-22","cited_by_count":0,"area":null},{"id":"2409.09348","title":"QTG-VQA: Question-Type-Guided Architectural for VideoQA Systems","created":"2024-09-14","cited_by_count":0,"area":null},{"id":"2501.08771","title":"Admitting Ignorance Helps the Video Question Answering Models to Answer","created":"2025-01-15","cited_by_count":0,"area":null},{"id":"2604.23443","title":"Revisiting Greedy Decoding for Visual Question Answering: A Calibration Perspective","created":"2026-04-25","cited_by_count":0,"area":null},{"id":"2606.16214","title":"Calibrated Sampling-Free Uncertainty Estimation in Bayesian Deep Learning","created":"2026-06-15","cited_by_count":0,"area":null},{"id":"2608.07943","title":"Locating Failure in Multi-Page Visually Rich Document Understanding: An Empirical Attribution","created":"2026-08-08","cited_by_count":0,"area":null},{"id":"2608.14683","title":"One Score, Two Decisions: Selective Prediction on the Rare-Disease Tail","created":"2026-08-05","cited_by_count":0,"area":null},{"id":"2608.15685","title":"Counterfactual Sensitivity Is Not Repairability: Auditing Replay Probes for Video Evidence","created":"2026-08-16","cited_by_count":0,"area":null},{"id":"2609.13288","title":"Target-Checked Reliability Score Refinement for Video Question Answering","created":"2026-09-09","cited_by_count":0,"area":null},{"id":"2609.34480","title":"When Does an Image Determine the Answer? Benchmarking Visual Answerability across Charts and Scenes","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2610.16722","title":"Lost in Contrast: Instruction-Preserving Decoding for Reliable Visual Question Answering","created":"2026-10-12","cited_by_count":0,"area":null},{"id":"2610.17902","title":"Visual Dependence Does Not Imply Answerability: A Systematic Analysis of Answerability Signals in Frozen InstructBLIP","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}