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Papers
Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-Judge
IJCNLP 2025
Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?
ACL 2025
LLMs are Biased Evaluators But Not Biased for Fact-Centric Retrieval Augmented Generation
ACL 2025
Safer or Luckier? LLMs as Safety Evaluators Are Not Robust to Artifacts
ACL 2025
Style Over Substance: Evaluation Biases for Large Language Models
COLING 2025
Unbiased Evaluation of Large Language Models from a Causal Perspective
ICML 2025
Veracity Bias and Beyond: Uncovering LLMs’ Hidden Beliefs in Problem-Solving Reasoning
ACL 2025
Humans or LLMs as the Judge? A Study on Judgement Bias
EMNLP 2024
Large Language Models are not Fair Evaluators
ACL 2024
Likelihood-based Mitigation of Evaluation Bias in Large Language Models
ACL 2024
LLM Evaluators Recognize and Favor Their Own Generations
NeurIPS 2024
Bias in Evaluation Processes: An Optimization-Based Model
NeurIPS 2023
Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET
AACL 2022
Towards a more Robust Evaluation for Conversational Question Answering
ACL 2021
APE at Scale and Its Implications on MT Evaluation Biases
ACL 2019
Bias Analysis and Mitigation in the Evaluation of Authorship Verification
ACL 2019