Papers by Daniel Kurzawe
ALDEN: Reinforcement Learning for Active Navigation and Evidence Gathering in Long Documents (2026.acl-long)
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| Challenge: | Visually rich documents (VRDs) combine text, tables, and figures within complex, semantically structured layouts. |
| Approach: | They propose a multi-turn reinforcement learning framework that fine-tunes VLMs as interactive agents capable of actively navigating long, visually rich documents. |
| Outcome: | The proposed framework achieves state-of-the-art on five long-document benchmarks. |