1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2024
Detecting Response Generation Not Requiring Factual Judgment
Ryohei Kamei, Daiki Shiono, Reina Akama +1
With the remarkable development of large language models (LLMs), ensuring the factuality of output has become a challenge. However, having all the contents of the response with giv…
cs.CL2024
A Large Collection of Model-generated Contradictory Responses for Consistency-aware Dialogue Systems
Shiki Sato, Reina Akama, Jun Suzuki +1
Mitigating the generation of contradictory responses poses a substantial challenge in dialogue response generation. The quality and quantity of available contradictory response dat…
cs.CL2022★ 1 cited
N-best Response-based Analysis of Contradiction-awareness in Neural Response Generation Models
Shiki Sato, Reina Akama, Hiroki Ouchi +3
Avoiding the generation of responses that contradict the preceding context is a significant challenge in dialogue response generation. One feasible method is post-processing, such…