{"total":36,"rows":[{"id":"2606.19544","title":"Reliability without Validity: A Systematic, Large-Scale Evaluation of LLM-as-a-Judge Models Across Agreement, Consistency, and Bias","created":"2026-06-17","cited_by_count":28,"area":null},{"id":"2509.18658","title":"Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction","created":"2025-09-23","cited_by_count":27,"area":null},{"id":"2506.13639","title":"An Empirical Study of LLM-as-a-Judge: How Design Choices Impact Evaluation Reliability","created":"2025-06-16","cited_by_count":19,"area":null},{"id":"2602.00521","title":"Diagnosing the Reliability of LLM-as-a-Judge via Item Response Theory","created":"2026-01-31","cited_by_count":16,"area":null},{"id":"2506.00780","title":"Do not Abstain! Identify and Solve the Uncertainty","created":"2025-06-01","cited_by_count":11,"area":null},{"id":"2507.22879","title":"RecGPT Technical Report","created":"2025-07-30","cited_by_count":11,"area":null},{"id":"2601.19532","title":"Benchmarks Saturate When The Model Gets Smarter Than The Judge","created":"2026-01-27","cited_by_count":11,"area":null},{"id":"2510.05115","title":"SAC-Opt: Semantic Anchors for Iterative Correction in Optimization Modeling","created":"2025-09-28","cited_by_count":8,"area":null},{"id":"2601.05420","title":"Efficient Inference for Noisy LLM-as-a-Judge Evaluation","created":"2026-01-08","cited_by_count":7,"area":null},{"id":"2511.18271","title":"Beyond Words and Pixels: A Benchmark for Implicit World Knowledge Reasoning in Generative Models","created":"2025-11-23","cited_by_count":4,"area":null},{"id":"2603.01865","title":"CyclicJudge: Mitigating Judge Bias Efficiently in LLM-based Evaluation","created":"2026-03-02","cited_by_count":4,"area":null},{"id":"2604.05593","title":"Label Effects: Shared Heuristic Reliance in Trust Assessment by Humans and LLM-as-a-Judge","created":"2026-04-07","cited_by_count":3,"area":null},{"id":"2608.17994","title":"Judge, Retrieve, or Abstain: Uncertainty-Guarded LLM Judging with Provable Risk Guarantees","created":"2026-08-18","cited_by_count":2,"area":null},{"id":"2505.03369","title":"Validating the Effectiveness of a Large Language Model-based Approach for Identifying Children's Development across Various Free Play Settings in Kindergarten","created":"2025-05-06","cited_by_count":1,"area":null},{"id":"2511.04528","title":"IntelliProof: An Argumentation Network-based Conversational Helper for Organized Reflection","created":"2025-11-06","cited_by_count":1,"area":null},{"id":"2605.31351","title":"VIABLE: A Visually Impaired Assistance Benchmark for VLM-as-a-Judge Evaluation","created":"2026-05-29","cited_by_count":1,"area":null},{"id":"2606.10657","title":"Are We Evaluating Knowledge or Phrasing? Mitigating MCQA Sensitivity with ParaEval","created":"2026-06-09","cited_by_count":1,"area":null},{"id":"2509.02855","title":"IDEAlign: Comparing Ideas of Large Language Models to Domain Expert","created":"2025-09-02","cited_by_count":0,"area":null},{"id":"2510.23669","title":"What Work is AI Actually Doing? Uncovering the Drivers of Generative AI Adoption","created":"2025-10-26","cited_by_count":0,"area":null},{"id":"2601.08849","title":"Gaming the Answer Matcher: Examining the Impact of Text Manipulation on Automated Judgment","created":"2025-12-22","cited_by_count":0,"area":null},{"id":"2603.04417","title":"Same Input, Different Scores: A Multi Model Study on the Inconsistency of LLM Judge","created":"2026-02-04","cited_by_count":0,"area":null},{"id":"2603.15187","title":"The Hrunting of AI: Where and How to Improve English Dialectal Fairness","created":"2026-03-16","cited_by_count":0,"area":null},{"id":"2604.05371","title":"LLM-as-Judge for Semantic Judging of Powerline Segmentation in UAV Inspection","created":"2026-04-07","cited_by_count":0,"area":null},{"id":"2604.20652","title":"Large Language Models Outperform Humans in Fraud Detection and Resistance to Motivated Investor Pressure","created":"2026-04-22","cited_by_count":0,"area":null},{"id":"2606.15887","title":"Intelligence Is Not the Bottleneck: Validating an LLM First-Pass Manuscript Score Against Peer-Review Outcomes","created":"2026-06-14","cited_by_count":0,"area":null},{"id":"2606.30987","title":"Measuring Judgment Quality in Natural-Language Explanations: Evidence from Forecasting Tournaments","created":"2026-06-29","cited_by_count":0,"area":null},{"id":"2607.21010","title":"Reexamining zero-shot summarization: Empirical investigation of trustworthiness of LLM-summarizers","created":"2026-07-23","cited_by_count":0,"area":null},{"id":"2607.22561","title":"Codifying the Judge: Scalable Evaluation via Program Distillation","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2608.13840","title":"ASSERT: A Measurement Pipeline for GenAI Audits","created":"2026-08-14","cited_by_count":0,"area":null},{"id":"2608.21097","title":"When Trust Meets Truth: Trust-Truth Separability in LLM-as-Judge","created":"2026-08-21","cited_by_count":0,"area":null},{"id":"2609.10758","title":"Multilingual in Name Only? Cultural and Linguistic Weaknesses of LLMs in Urdu","created":"2026-09-09","cited_by_count":0,"area":null},{"id":"2609.29709","title":"Three Ways Classical Test Theory Can Mislead About LLM Judges","created":"2026-08-31","cited_by_count":0,"area":null},{"id":"2609.36264","title":"OTROPE: Optimal Transport-based Robust Off-policy Evaluation for Large Language Models","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2610.14029","title":"Can We Trust This Evaluation? Instance-Level Reliability of LLM-as-a-Judge","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.18108","title":"A CaLLM Judge is a Better Judge: Mitigating Bias in LLM-as-a-judge","created":"2026-10-13","cited_by_count":0,"area":null},{"id":"2610.19992","title":"SoK: Grading Open-Text Legal Answers, from Law School Exams to Trustworthy Rubric Judges","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}