Papers by Pulkit Bansal
From Fragments to Facts: A Curriculum-Driven DPO Approach for Generating Hindi News Veracity Explanations (2026.findings-acl)
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| Challenge: | DeFactoX integrates Direct Preference Optimization (DPO) with Curriculum learning to align machine-generated explanations with human reasoning. |
| Approach: | They propose a framework that integrates Direct Preference Optimization (DPO) with Curriculum learning to align machine-generated explanations with human reasoning. |
| Outcome: | The proposed framework combines Direct Preference Optimization (DPO) with Curriculum learning to align machine-generated explanations with human reasoning. |
Finding Needles in Images: Can Multi-modal LLMs Locate Fine Details? (2025.acl-long)
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| Challenge: | Recent advances in Multi-modal Large Language Models (MLLMs) have fundamentally transformed how machines understand and reason about visual information. |
| Approach: | They propose a benchmark to evaluate MLLMs' ability to locate and reason about fine-grained details within complex documents including newspapers, menus, and lecture images. |
| Outcome: | The proposed method improves on existing methods and shows that it can handle fine-grained document understanding tasks. |