DiscoTrace paper on human vs LLM answering strategies wins Best Paper at EMNLP 2026
rachelrudinger · x · 2026-10-29
The paper "DiscoTrace: Representing and Comparing Answering Strategies of Humans and LLMs in Information-Seeking Question Answering" won Best Paper at EMNLP 2026.
Author Neha Srikanth thanked advisors Rachel Rudinger and Jordan Boyd-Graber and the UMD Clip Lab. The work analyzes answering strategies in information-seeking QA across different communities, representing and comparing how humans and LLMs arrive at answers.
Related event: DiscoTrace from UMD Wins EMNLP 2026 Best Paper(2 posts)→
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