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cs.CL2024
Hierarchical Deconstruction of LLM Reasoning: A Graph-Based Framework for Analyzing Knowledge Utilization
Miyoung Ko, Sue Hyun Park, Joonsuk Park +1
Despite the advances in large language models (LLMs), how they use their knowledge for reasoning is not yet well understood. In this study, we propose a method that deconstructs co…
cs.CL2024
Argument Quality Assessment in the Age of Instruction-Following Large Language Models
Henning Wachsmuth, Gabriella Lapesa, Elena Cabrio +5
The computational treatment of arguments on controversial issues has been subject to extensive NLP research, due to its envisioned impact on opinion formation, decision making, wri…