Papers by Aum Kendapadi
INTERACT: Enabling Interactive, Question-Driven Learning in Large Language Models (2025.acl-long)
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| Challenge: | Large language models (LLMs) absorb static data without the ability to question and refine knowledge. |
| Approach: | They propose a framework in which a “student” LLM engages a ‘teacher’ LLM through iterative inquiries to acquire knowledge across 1,347 contexts. |
| Outcome: | The proposed framework achieves up to 25% improvement in 1,347 contexts across a wide range of scenarios and LLM architectures, with ‘cold-start’ student models matching static learning baselines in as few as five dialogue turns. |