Papers by Hiromasa Sakurai
Evaluating Intention Detection Capability of Large Language Models in Persuasive Dialogues (2024.acl-long)
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| Challenge: | Existing studies measure the intention detection capability of machine learning models without considering the conversational history. |
| Approach: | They modified existing persuasive conversation datasets and created a dataset using a multiple-choice paradigm to evaluate LLMs' intention detection capability. |
| Outcome: | The proposed model can detect speakers' intentions well in persuasive multi-turn dialogs using the largest available Large Language Models (LLMs). |