Papers by Subbarao Kambhampati
Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation (2026.acl-long)
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| Challenge: | Recent advances in reasoning-oriented Large Language Models have been driven by the introduction of Chain-of-Thought (CoT) traces. |
| Approach: | They propose to use CoT traces to guide model inference and serve as supervision signals for Knowledge Distillation to improve smaller models. |
| Outcome: | The proposed model is based on a rule-based problem decomposition method and is valid for both semantic correctness and interpretability to the end user. |