A contrastive LLM fine-tuning method creates joint embeddings for dialogue contexts and backchannel realizations, improving retrieval performance and alignment with human judgments over raw WavLM features.
InProceedings of Interspeech 2010, pages 3054–3057
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Aligning Backchannel and Dialogue Context Representations via Contrastive LLM Fine-Tuning
A contrastive LLM fine-tuning method creates joint embeddings for dialogue contexts and backchannel realizations, improving retrieval performance and alignment with human judgments over raw WavLM features.