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Lexin Zhou

3 accepted papers

2025

Exploring the Choice Behavior of Large Language Models

ACL 2025finding

Large Language Models (LLMs) are increasingly deployed as human assistants across various domains where they help to make choices. However, the mechanisms behind LLMs’ choice behavior remain unclear, posing risks in safety-critical situations. Inspired by the intrinsic and extrinsic motivation frame…

Cited by 0SourcePDFScholar
2025

PredictaBoard: Benchmarking LLM Score Predictability

ACL 2025finding

Despite possessing impressive skills, Large Language Models (LLMs) often fail unpre-dictably, demonstrating inconsistent success in even basic common sense reasoning tasks. This unpredictability poses a significant challenge to ensuring their safe deployment, as identifying and operating within a re…

2024

An LLM Feature-based Framework for Dialogue Constructiveness Assessment

EMNLP 2024main

Research on dialogue constructiveness assessment focuses on (i) analysing conversational factors that influence individuals to take specific actions, win debates, change their perspectives or broaden their open-mindedness and (ii) predicting constructiveness outcomes following dialogues for such use…