Introduces the CHA-Gen dataset for Chinese ambiguity based on Potential Ambiguity Theory and shows LLMs struggle to detect ambiguity, exhibiting specific failure modes and overconfidence after instruction tuning.
author Hanna, M
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cs.CL 2years
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UNVERDICTED 2representative citing papers
Each tested LLM shows its own characteristic unreliability when engaging in repair during extended math-question dialogues.
citing papers explorer
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Evaluating Chinese Ambiguity Understanding in Large Language Models
Introduces the CHA-Gen dataset for Chinese ambiguity based on Potential Ambiguity Theory and shows LLMs struggle to detect ambiguity, exhibiting specific failure modes and overconfidence after instruction tuning.
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Talking to a Know-It-All GPT or a Second-Guesser Claude? How Repair reveals unreliable Multi-Turn Behavior in LLMs
Each tested LLM shows its own characteristic unreliability when engaging in repair during extended math-question dialogues.