output
20152026
most citedSapientML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions

11 citations

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cs.CL2025

User Perceptions vs. Proxy LLM Judges: Privacy and Helpfulness in LLM Responses to Privacy-Sensitive Scenarios

Xiaoyuan Wu, Roshni Kaushik, Wenkai Li +2

Large language models (LLMs) are rapidly being adopted for tasks like drafting emails, summarizing meetings, and answering health questions. In these settings, users may need to sh…

cs.CL2015

Detecting Concept-level Emotion Cause in Microblogging

Shuangyong Song, Yao Meng

In this paper, we propose a Concept-level Emotion Cause Model (CECM), instead of the mere word-level models, to discover causes of microblogging users' diversified emotions on spec…