| {"paper_url": "https://huggingface.co/papers/1911.00536", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Contrastive Speaker-Aware Learning for Multi-party Dialogue Generation with LLMs](https://huggingface.co/papers/2503.08842) (2025)\n* [Interpretable and Robust Dialogue State Tracking via Natural Language Summarization with LLMs](https://huggingface.co/papers/2503.08857) (2025)\n* [Conversation AI Dialog for Medicare powered by Finetuning and Retrieval Augmented Generation](https://huggingface.co/papers/2502.02249) (2025)\n* [SS-MPC: A Sequence-Structured Multi-Party Conversation System](https://huggingface.co/papers/2502.16920) (2025)\n* [SAGE: Steering and Refining Dialog Generation with State-Action Augmentation](https://huggingface.co/papers/2503.03040) (2025)\n* [Advancing Multi-Party Dialogue Systems with Speaker-ware Contrastive Learning](https://huggingface.co/papers/2501.11292) (2025)\n* [Fine-Tuning Qwen 2.5 3B for Realistic Movie Dialogue Generation](https://huggingface.co/papers/2502.16274) (2025)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"} |