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20242026
most citedThe Coming Crisis of Multi-Agent Misalignment: AI Alignment Must Be a Dynamic and Social Process

5 citations · 5 across the 10 of their papers we have counts for

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cs.CL2026

LLJ Cards: Best practices for the Use of LLMs as Judges

Khaoula Chehbouni, Melina Medjdoub, Florian Carichon +2

In recent years, large language models (LLMs) have emerged as a popular alternative for evaluation. Often referred to as LLMs as judges (LLJs), these systems have been widely adopt…

cs.CL2026

IDEAFix: Evaluation Framework for Creative Defixation Prompting in LLMs

F. Carichon, S. Sharma, M. Girard +2

Large language models (LLMs) are increasingly used for tasks involving creative problem solving and idea generation. However, there is a lack of consensus concerning their creative…

cs.CL2026

Mechanics of Bias and Reasoning: Interpreting the Impact of Chain-of-Thought Prompting on Gender Bias in LLMs

Edie Pearman, Sophia Osborne, Mira Kandlikar-Bloch +3

Large language models (LLMs) are increasingly deployed in socially sensitive settings despite substantial documentation that they encode gender biases. Chain-of-Thought (CoT) promp…

cs.CL2025

Let's Unlearn Stereotypes Before Decision-Making: Assessing the Impact of Intrinsic Bias Mitigation on Downstream Fairness in LLMs

Mina Arzaghi, Alireza Dehghanpour Farashah, Florian Carichon +2

Large Language Models (LLMs) are increasingly used in high-stakes decision-making systems, where biased predictions can reinforce social and economic disparities. Although prior wo…

cs.CL2024

Understanding Intrinsic Socioeconomic Biases in Large Language Models

Mina Arzaghi, Florian Carichon, Golnoosh Farnadi

Large Language Models (LLMs) are increasingly integrated into critical decision-making processes, such as loan approvals and visa applications, where inherent biases can lead to di…