Papers with coreference disambiguation

1 papers
Correct-Detect: Balancing Performance and Ambiguity Through the Lens of Coreference Resolution in LLMs (2025.emnlp-main)

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Challenge: Large Language Models (LLMs) are intended to reflect human linguistic competencies . but when context is absent or insufficient, ambiguity resolution becomes more tenuous .
Approach: They propose a CORRECT-DETECT trade-off between large language models and ambiguity detection . they show that large language model models can achieve good performance with minimal prompting .
Outcome: The proposed models can achieve good performance with minimal prompting in coreference disambiguation and detection of ambiguity in corefertility tasks, but they cannot do both at the same time.

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