Papers by Subham Raj
HARPO: Hierarchical Agentic Reasoning for User-Aligned Conversational Recommendation (2026.acl-long)
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| Challenge: | Recent advances in large language models have significantly improved conversational recommender systems performance. |
| Approach: | They propose a framework that reframes conversational recommendation as a structured decision-making process optimized for multi-dimensional recommendation quality. |
| Outcome: | The proposed framework improves on ReDial, INSPIRED, and MUSE while maintaining competitive response quality. |