{"total":23,"rows":[{"id":"2506.02592","title":"Beyond the Surface: Measuring Self-Preference in LLM Judgments","created":"2025-06-03","cited_by_count":31,"area":null},{"id":"2509.17995","title":"Variation in Verification: Understanding Verification Dynamics in Large Language Models","created":"2025-09-22","cited_by_count":19,"area":null},{"id":"2604.06996","title":"Self-Preference Bias in Rubric-Based Evaluation of Large Language Models","created":"2026-04-08","cited_by_count":11,"area":null},{"id":"2512.05379","title":"Mitigating Self-Preference by Authorship Obfuscation","created":"2025-12-05","cited_by_count":6,"area":null},{"id":"2602.02219","title":"Am I More Pointwise or Pairwise? Revealing Position Bias in Rubric-Based LLM-as-a-Judge","created":"2026-02-02","cited_by_count":6,"area":null},{"id":"2601.22548","title":"Are LLM Evaluators Really Narcissists? Sanity Checking Self-Preference Evaluations","created":"2026-01-30","cited_by_count":5,"area":null},{"id":"2605.20745","title":"The Hidden Signal of Verifier Strictness: Controlling and Improving Step-Wise Verification via Selective Latent Steering","created":"2026-05-20","cited_by_count":5,"area":null},{"id":"2508.21164","title":"Quantifying Label-Induced Bias in Large Language Model Self- and Cross-Evaluations","created":"2025-08-28","cited_by_count":3,"area":null},{"id":"2509.26600","title":"When LLMs Benchmark Themselves: Deconstructing Self-Bias in Automated Evaluation","created":"2025-09-30","cited_by_count":3,"area":null},{"id":"2512.19424","title":"CodeSimpleQA: Scaling Factuality in Code Large Language Models","created":"2025-12-22","cited_by_count":3,"area":null},{"id":"2509.00841","title":"Neural Models and Language Model Prompting for the Multidimensional Evaluation of Open-Ended Conversations","created":"2025-08-31","cited_by_count":2,"area":null},{"id":"2509.26464","title":"Extreme Self-Preference in Language Models","created":"2025-09-30","cited_by_count":2,"area":null},{"id":"2606.03650","title":"CoEval: Ranking Language Models for Custom Tasks Without Labeled Data or Trustworthy Benchmarks","created":"2026-06-02","cited_by_count":2,"area":null},{"id":"2510.08145","title":"Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling","created":"2025-10-09","cited_by_count":1,"area":null},{"id":"2602.05110","title":"Understanding LLM Evaluator Behavior: A Structured Multi-Evaluator Framework for Merchant Risk Assessment","created":"2026-02-04","cited_by_count":1,"area":null},{"id":"2608.18091","title":"Self- and Other-Labels Induce Bidirectional Bias in LLM Judges","created":"2026-06-06","cited_by_count":1,"area":null},{"id":"2609.17857","title":"Who Judges Matters: Measuring Family-Conditioned Preference in LLM-as-Judge Panels","created":"2026-09-15","cited_by_count":1,"area":null},{"id":"2604.24544","title":"STELLAR-E: a Synthetic, Tailored, End-to-end LLM Application Rigorous Evaluator","created":"2026-04-27","cited_by_count":0,"area":null},{"id":"2608.07243","title":"Recipes for Creativity: Iterative Generation and Evaluation in Large Language Models","created":"2026-08-07","cited_by_count":0,"area":null},{"id":"2609.12002","title":"Can We Trust LLM Judges: A Study of Capability-Dependent Biases and Multi-Judge Ensemble for Bias Calibration","created":"2026-09-10","cited_by_count":0,"area":null},{"id":"2609.20584","title":"SAFARI: An Industrial Benchmark for LLM-Assisted Hazard Analysis and Risk Assessment","created":"2026-09-17","cited_by_count":0,"area":null},{"id":"2609.34864","title":"On the Limits of Metacognitive Monitoring in LLMs","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2610.00369","title":"A Shared Taste for Model-Written Text: The Generator-by-Selector Matrices of \"AI-AI Bias\" Show No Detectable Own-Model Premium","created":"2026-09-30","cited_by_count":0,"area":null}],"next_cursor":null}