Low-Hallucination and Efficient Coreference Resolution with LLMs (2025.findings-emnlp)
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| Challenge: | Large Language Models have shown promising results in coreference resolution, but they face a critical issue: hallucinations. |
| Approach: | They propose a low-hallucination and efficient solution to the problem of hallucinations . they propose efficient constrained decoding for coreference resolution . |
| Outcome: | The proposed approach achieves better performance on the English OntoNotes development set. |
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