Saved in:
| Main Authors: | Hossain, Akram, Abdelfattah, Rabab, Wang, Xiaofeng, Abdelfatah, Kareem |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.05371 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-Judge
by: Shi, Lin, et al.
Published: (2024)
by: Shi, Lin, et al.
Published: (2024)
Judging the Judges: A Systematic Evaluation of Bias Mitigation Strategies in LLM-as-a-Judge Pipelines
by: Soumik, Sadman Kabir
Published: (2026)
by: Soumik, Sadman Kabir
Published: (2026)
BadJudge: Backdoor Vulnerabilities of LLM-as-a-Judge
by: Tong, Terry, et al.
Published: (2025)
by: Tong, Terry, et al.
Published: (2025)
Judge Reliability Harness: Stress Testing the Reliability of LLM Judges
by: Dev, Sunishchal, et al.
Published: (2026)
by: Dev, Sunishchal, et al.
Published: (2026)
Who Judges the Judge? LLM Jury-on-Demand: Building Trustworthy LLM Evaluation Systems
by: Li, Xiaochuan, et al.
Published: (2025)
by: Li, Xiaochuan, et al.
Published: (2025)
TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them
by: Wang, Yidong, et al.
Published: (2025)
by: Wang, Yidong, et al.
Published: (2025)
Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry
by: Li, Zhuochun, et al.
Published: (2026)
by: Li, Zhuochun, et al.
Published: (2026)
JudgeBench: A Benchmark for Evaluating LLM-based Judges
by: Tan, Sijun, et al.
Published: (2024)
by: Tan, Sijun, et al.
Published: (2024)
Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges
by: Thakur, Aman Singh, et al.
Published: (2024)
by: Thakur, Aman Singh, et al.
Published: (2024)
MCTS-Judge: Test-Time Scaling in LLM-as-a-Judge for Code Correctness Evaluation
by: Wang, Yutong, et al.
Published: (2025)
by: Wang, Yutong, et al.
Published: (2025)
A Survey on LLM-as-a-Judge
by: Gu, Jiawei, et al.
Published: (2024)
by: Gu, Jiawei, et al.
Published: (2024)
CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks
by: Jiang, Hongchao, et al.
Published: (2025)
by: Jiang, Hongchao, et al.
Published: (2025)
Judge's Verdict: A Comprehensive Analysis of LLM Judge Capability Through Human Agreement
by: Han, Steve, et al.
Published: (2025)
by: Han, Steve, et al.
Published: (2025)
Evaluating Metrics for Safety with LLM-as-Judges
by: Clegg, Kester, et al.
Published: (2025)
by: Clegg, Kester, et al.
Published: (2025)
Auto-Prompt Ensemble for LLM Judge
by: Li, Jiajie, et al.
Published: (2025)
by: Li, Jiajie, et al.
Published: (2025)
To Judge or not to Judge: Using LLM Judgements for Advertiser Keyphrase Relevance at eBay
by: Dey, Soumik, et al.
Published: (2025)
by: Dey, Soumik, et al.
Published: (2025)
JudgeLRM: Large Reasoning Models as a Judge
by: Chen, Nuo, et al.
Published: (2025)
by: Chen, Nuo, et al.
Published: (2025)
Judging the Judges: Human Validation of Multi-LLM Evaluation for High-Quality K--12 Science Instructional Materials
by: He, Peng, et al.
Published: (2026)
by: He, Peng, et al.
Published: (2026)
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
by: Zhu, Lianghui, et al.
Published: (2023)
by: Zhu, Lianghui, et al.
Published: (2023)
JudgeFlow: Agentic Workflow Optimization via Block Judge
by: Ma, Zihan, et al.
Published: (2026)
by: Ma, Zihan, et al.
Published: (2026)
Multi-Agent Debate for LLM Judges with Adaptive Stability Detection
by: Hu, Tianyu, et al.
Published: (2025)
by: Hu, Tianyu, et al.
Published: (2025)
MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark
by: Chen, Dongping, et al.
Published: (2024)
by: Chen, Dongping, et al.
Published: (2024)
Are We on the Right Way to Assessing LLM-as-a-Judge?
by: Feng, Yuanning, et al.
Published: (2025)
by: Feng, Yuanning, et al.
Published: (2025)
Overconfidence in LLM-as-a-Judge: Diagnosis and Confidence-Driven Solution
by: Tian, Zailong, et al.
Published: (2025)
by: Tian, Zailong, et al.
Published: (2025)
Who's Your Judge? On the Detectability of LLM-Generated Judgments
by: Li, Dawei, et al.
Published: (2025)
by: Li, Dawei, et al.
Published: (2025)
LLM-as-a-Judge for Time Series Explanations
by: Sivalingam, Preetham, et al.
Published: (2026)
by: Sivalingam, Preetham, et al.
Published: (2026)
UDA: Unsupervised Debiasing Alignment for Pair-wise LLM-as-a-Judge
by: Zhang, Yang, et al.
Published: (2025)
by: Zhang, Yang, et al.
Published: (2025)
Align to Misalign: Automatic LLM Jailbreak with Meta-Optimized LLM Judges
by: Koo, Hamin, et al.
Published: (2025)
by: Koo, Hamin, et al.
Published: (2025)
Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings
by: Xu, Austin, et al.
Published: (2025)
by: Xu, Austin, et al.
Published: (2025)
Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge
by: Ye, Jiayi, et al.
Published: (2024)
by: Ye, Jiayi, et al.
Published: (2024)
JudgeRLVR: Judge First, Generate Second for Efficient Reasoning
by: Duo, Jiangshan, et al.
Published: (2026)
by: Duo, Jiangshan, et al.
Published: (2026)
PentestJudge: Judging Agent Behavior Against Operational Requirements
by: Caldwell, Shane, et al.
Published: (2025)
by: Caldwell, Shane, et al.
Published: (2025)
Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge
by: Saha, Swarnadeep, et al.
Published: (2025)
by: Saha, Swarnadeep, et al.
Published: (2025)
R-Judge: Benchmarking Safety Risk Awareness for LLM Agents
by: Yuan, Tongxin, et al.
Published: (2024)
by: Yuan, Tongxin, et al.
Published: (2024)
When AIs Judge AIs: The Rise of Agent-as-a-Judge Evaluation for LLMs
by: Yu, Fangyi
Published: (2025)
by: Yu, Fangyi
Published: (2025)
Bi-Level Prompt Optimization for Multimodal LLM-as-a-Judge
by: Pan, Bo, et al.
Published: (2026)
by: Pan, Bo, et al.
Published: (2026)
Beyond Consensus: Mitigating the Agreeableness Bias in LLM Judge Evaluations
by: Jain, Suryaansh, et al.
Published: (2025)
by: Jain, Suryaansh, et al.
Published: (2025)
Judging with Many Minds: Do More Perspectives Mean Less Prejudice? On Bias Amplifications and Resistance in Multi-Agent Based LLM-as-Judge
by: Ma, Chiyu, et al.
Published: (2025)
by: Ma, Chiyu, et al.
Published: (2025)
Think-J: Learning to Think for Generative LLM-as-a-Judge
by: Huang, Hui, et al.
Published: (2025)
by: Huang, Hui, et al.
Published: (2025)
VERT: Reliable LLM Judges for Radiology Report Evaluation
by: Bologna, Federica, et al.
Published: (2026)
by: Bologna, Federica, et al.
Published: (2026)
Similar Items
-
Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-Judge
by: Shi, Lin, et al.
Published: (2024) -
Judging the Judges: A Systematic Evaluation of Bias Mitigation Strategies in LLM-as-a-Judge Pipelines
by: Soumik, Sadman Kabir
Published: (2026) -
BadJudge: Backdoor Vulnerabilities of LLM-as-a-Judge
by: Tong, Terry, et al.
Published: (2025) -
Judge Reliability Harness: Stress Testing the Reliability of LLM Judges
by: Dev, Sunishchal, et al.
Published: (2026) -
Who Judges the Judge? LLM Jury-on-Demand: Building Trustworthy LLM Evaluation Systems
by: Li, Xiaochuan, et al.
Published: (2025)