Papers with Frank
Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness (2020.emnlp-main)
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| Challenge: | Existing models for improving consistency often train with additional NLI labels or attach trained extra modules to the generative agent. |
| Approach: | They propose to encode personas into dialogue embeddings and a persona-conditioned dialogue dataset to improve persona consistency. |
| Outcome: | The proposed approach can enforce dialogue agents to refrain from contradictions and improve consistency of existing models. |
On the Intractability to Synthesize Factual Inconsistencies in Summarization (2024.findings-eacl)
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| Challenge: | Existing methods for detecting factual inconsistencies in abstractive summarization are lacking in factual consistency detection. |
| Approach: | They propose to use real model-generated summaries with human annotations to detect factual inconsistencies. |
| Outcome: | The proposed model outperforms the SOTA on CoGenSumm, FactCC, Frank, and SummEval datasets. |