Papers with DRI
Self-chats from Large Language Models Make Small Emotional Support Chatbot Better (2024.acl-long)
Copied to clipboard
| Challenge: | Large Language Models (LLMs) have shown strong generalization abilities to excel in various tasks, including emotion support conversations. |
| Approach: | They propose an iterative expansion framework to prompt large teacher model to curate an expansive emotion support dialogue dataset. |
| Outcome: | The proposed model outperforms the teacher model in some cases . the proposed model is based on an iterative expansion framework and is available on github.com/pandazzh2020/ExTES. |
Analyzing and Mitigating Inconsistency in Discrete Speech Tokens for Neural Codec Language Models (2025.acl-long)
Copied to clipboard
| Challenge: | Recent advances in Large Language Models (LLMs) have demonstrated significant strides in generating high-quality speech . discretizing speech by neural audio codecs often results in sequences that differ from text sequences . |
| Approach: | They quantitatively analyze the Discrete Representation Inconsistency phenomenon within popular audio tokenizers such as EnCodec. |
| Outcome: | The proposed method mitigates the DRI phenomenon within popular audio tokenizers such as EnCodec. |