Papers by Ken Watanabe

1 papers
LLM-Based Zero-Shot Soft Labeling for Anticipating Disagreement in Negotiation Dialogues (2026.acl-srw)

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Challenge: Negotiation involves complex emotional and strategic dynamics that pose challenges for AI agents in negotiation dialogues.
Approach: They propose a zero-shot soft-labeling method using large language models . they also examine the performance of model training on rule-based annotated hard and soft labels .
Outcome: The proposed method shows a maximum HIT@3 score of 0.87 against rule-based annotated hard labels . failure cases also demonstrated the limitations of rule--based annotation .

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