Christ{\`e}le Tarnec

PoSum-Bench: Benchmarking Position Bias in LLM-based Conversational Summarization

Large language models (LLMs) are increasingly used for zero-shot conversation summarization, but often exhibit positional bias—tending to overemphasize content from the beginning or end of a conversation while neglecting the middle. To address this issue, we introduce PoSum-Bench, a comprehensive be