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Yahang Qi

2 accepted papers

2026

CauSciBench: Evaluating LLM Causal Inference for Scientific Research

ICML 2026poster

Identifying and estimating causal relationships from data is an important component of the scientific research process because it enables researchers to understand how variables affect one another. While large language models (LLMs) show potential for assisting research workflows, their ability to p…

Cited by 0SourceScholar
2024

Implicit Personalization in Language Models: A Systematic Study

EMNLP 2024finding

Implicit Personalization (IP) is a phenomenon of language models inferring a user’s background from the implicit cues in the input prompts and tailoring the response based on this inference. While previous work has touched upon various instances of this problem, there lacks a unified framework to st…