16 citations · 34 across the 14 of their papers we have counts for
6 papers · 1 filter
Navigating by Old Maps: The Pitfalls of Static Mechanistic Localization in LLM Post-Training
Hang Chen, Jiaying Zhu, Hongyang Chen +3
The "Locate-then-Update" paradigm has become a predominant approach in the post-training of large language models (LLMs), identifying critical components via mechanistic interpreta…
Skill Path: Unveiling Language Skills from Circuit Graphs
Hang Chen, Jiaying Zhu, Xinyu Yang +1
Circuit graph discovery has emerged as a fundamental approach to elucidating the skill mechanistic of language models. Despite the output faithfulness of circuit graphs, they suffe…
Quantifying Semantic Emergence in Language Models
Hang Chen, Xinyu Yang, Jiaying Zhu +1
Large language models (LLMs) are widely recognized for their exceptional capacity to capture semantics meaning. Yet, there remains no established metric to quantify this capability…
Learning a Structural Causal Model for Intuition Reasoning in Conversation
Hang Chen, Bingyu Liao, Jing Luo +2
Reasoning, a crucial aspect of NLP research, has not been adequately addressed by prevailing models including Large Language Model. Conversation reasoning, as a critical component…
How to Enhance Causal Discrimination of Utterances: A Case on Affective Reasoning
Hang Chen, Jing Luo, Xinyu Yang +1
Our investigation into the Affective Reasoning in Conversation (ARC) task highlights the challenge of causal discrimination. Almost all existing models, including large language mo…
Learning a General Clause-to-Clause Relationships for Enhancing Emotion-Cause Pair Extraction
Hang Chen, Xinyu Yang, Xiang Li
Emotion-cause pair extraction (ECPE) is an emerging task aiming to extract potential pairs of emotions and corresponding causes from documents. Previous approaches have focused on…