Study: LLMs prefer to answer over clarifying ambiguous references
A new study from arXiv cs.CL suggests that large language models (LLMs) often opt for quick answers rather than asking clarifying questions when faced with ambiguous references. The research, which uses the SIMMC 2.1 dataset as a test environment, reveals how many clarification questions are needed to successfully resolve ambiguous terms. It also introduces BACE, a method designed to encourage…
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Key points
- Study examines LLM behavior with ambiguous references
- LLMs often prefer quick answers over clarification
- Proposes BACE for better handling of ambiguous terms
Read the original at arXiv cs.CL · by Ibrahim Khebour, Nikhil Krishnaswamy primary sourceOpen source ↗
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