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cs.CL2026
Interpreting Negation in GPT-2: Layer- and Head-Level Causal Analysis
Abdullah Al Mofael, Lisa M. Kuhn, Ghassan Alkadi +1
Negation remains a persistent challenge for modern language models, often causing reversed meanings or factual errors. In this work, we conduct a causal analysis of how GPT-2 Small…
cs.CL2023★ 4 cited
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis
Kai Chen, Chunwei Wang, Kuo Yang +11
The rapid development of large language models (LLMs) has not only provided numerous opportunities but also presented significant challenges. This becomes particularly evident when…