Papers by Chandrayee Basu
HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance (2025.emnlp-main)
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| Challenge: | Existing approaches focus on retrieval augmentation and focus on the quality of the output . Existing methods focus on generating a highly specific declarative statement ignoring the underlying reasoning process behind ideation. |
| Approach: | They propose a large language model that generates evidence-based hypotheses using literature-guided reasoning and a multi-task setting. |
| Outcome: | The proposed model outperforms the base model and generates evidence-grounded hypotheses with high feasibility and impact as judged by human experts. |