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Found 3 papers, 2 papers with code
Likelihood-based Mitigation of Evaluation Bias in Large Language Models
In this paper, we investigate the presence and impact of likelihood bias in LLM-based evaluators.
How You Prompt Matters! Even Task-Oriented Constraints in Instructions Affect LLM-Generated Text Detection
Furthermore, our analysis indicates that the high instruction-following ability of LLMs fosters the large impact of such constraints on detection performance.
OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples
Experiments in the domain of student essays show that the proposed detector improves the detection performance on the attacker-generated texts by up to +41. 3 points F1-score.
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