Jul 2026
For What Reason? Interpreting Models' Encoding of Causation and Antithesis
This work investigates how instruction-tuned Transformer models (LLaMA and Mistral) encode discourse relations in English, with a particular focus on the contrasting relations of causation and antithesis, suggesting asymmetric representation of discourse-based reasoning.
A. Bhattacharyya, Shira Wein
· SIGDIAL Conferences · 0 citations