{"total":21,"rows":[{"id":"2410.17196","title":"VoiceBench: Benchmarking LLM-Based Voice Assistants","created":"2024-10-22","cited_by_count":200,"area":null},{"id":"2502.14127","title":"Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above","created":"2025-02-19","cited_by_count":52,"area":null},{"id":"2507.02856","title":"Answer Matching Outperforms Multiple Choice for Language Model Evaluation","created":"2025-07-03","cited_by_count":41,"area":null},{"id":"2406.12232","title":"\"You Gotta be a Doctor, Lin\": An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations","created":"2024-06-18","cited_by_count":33,"area":null},{"id":"2409.19242","title":"SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement","created":"2024-09-28","cited_by_count":15,"area":null},{"id":"2503.10688","title":"CULEMO: Cultural Lenses on Emotion -- Benchmarking LLMs for Cross-Cultural Emotion Understanding","created":"2025-03-12","cited_by_count":14,"area":null},{"id":"2410.15512","title":"Reverse Question Answering: Can an LLM Write a Question so Hard (or Bad) that it Can't Answer?","created":"2024-10-20","cited_by_count":13,"area":null},{"id":"2502.15919","title":"Mind the Gap! Static and Interactive Evaluations of Large Audio Models","created":"2025-02-21","cited_by_count":8,"area":null},{"id":"2601.08654","title":"From Rubrics to Reliable Scores: Evidence-Grounded Text Evaluation with LLM Judges","created":"2026-01-13","cited_by_count":7,"area":null},{"id":"2502.19684","title":"GRACE: A Granular Benchmark for Evaluating Model Calibration against Human Calibration","created":"2025-02-27","cited_by_count":5,"area":null},{"id":"2507.16068","title":"Compositional Coordination for Multi-Robot Teams with Large Language Models","created":"2025-07-21","cited_by_count":3,"area":null},{"id":"2502.14748","title":"Large Language Models Struggle to Describe the Haystack without Human Help: Human-in-the-loop Evaluation of Topic Models","created":"2025-02-20","cited_by_count":2,"area":null},{"id":"2503.06778","title":"Large Language Models Are Effective Human Annotation Assistants, But Not Good Independent Annotators","created":"2025-03-09","cited_by_count":2,"area":null},{"id":"2505.21859","title":"Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries","created":"2025-05-28","cited_by_count":1,"area":null},{"id":"2506.15215","title":"MinosEval: Distinguishing Factoid and Non-Factoid for Tailored Open-Ended QA Evaluation with LLMs","created":"2025-06-18","cited_by_count":1,"area":null},{"id":"2603.07025","title":"Language-Aware Distillation for Multilingual Instruction-Following Speech LLMs with ASR-Only Supervision","created":"2026-03-07","cited_by_count":1,"area":null},{"id":"2604.21766","title":"AUDITA: A New Dataset to Audit Humans vs. AI Skill at Audio QA","created":"2026-04-23","cited_by_count":1,"area":null},{"id":"2606.11033","title":"AuRA: Internalizing Audio Understanding into LLMs as LoRA","created":"2026-06-09","cited_by_count":1,"area":null},{"id":"2410.03996","title":"On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models","created":"2024-10-05","cited_by_count":0,"area":null},{"id":"2605.28255","title":"AI, Take the Wheel: What Drives Delegation and Trust in Human-Computer Cooperative Question Answering?","created":"2026-05-27","cited_by_count":0,"area":null},{"id":"2609.19879","title":"V\\={a}kQA: A Benchmark and Evaluation Study for Telugu Spoken Factoid Question Answering","created":"2026-09-17","cited_by_count":0,"area":null}],"next_cursor":null}