Papers by Yuan-Hao Jiang
FreeChunker: A Cross-Granularity Chunking Framework (2026.findings-acl)
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| Challenge: | Existing chunking paradigms rely on static boundary identification, limiting performance . Existing methods rely only on static knowledge, resulting in hallucinated content . |
| Approach: | They propose a Cross-Granularity Encoding Framework that treats sentences as atomic units and shifts from static chunk segmentation to flexible retrieval supporting arbitrary sentence combinations. |
| Outcome: | The proposed framework avoids the computational overhead required for semantic boundary detection and enhances adaptability to complex queries. |