CoGen: Learning from Feedback with Coupled Comprehension and Generation (2024.emnlp-main)
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| Challenge: | Existing studies on coupling comprehension and generation in computational systems show that the ability to finish incomplete partner utterances in dialogue is closely related to comprehension and vice versa. |
| Approach: | They propose techniques to tightly integrate comprehension and generation capabilities with focus on continually learning from interaction with users. |
| Outcome: | The proposed models improve performance by 26% and 17% over time, while the non-coupled system is more human-like. |
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