XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs

Zichen Chen, Jianda Chen, Ambuj K. Singh, Misha Sra. XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs. In Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen, editors, Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024. pages 7578-7596, Association for Computational Linguistics, 2024. [doi]

@inproceedings{ChenCSS24,
  title = {XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs},
  author = {Zichen Chen and Jianda Chen and Ambuj K. Singh and Misha Sra},
  year = {2024},
  url = {https://aclanthology.org/2024.emnlp-main.432},
  researchr = {https://researchr.org/publication/ChenCSS24},
  cites = {0},
  citedby = {0},
  pages = {7578-7596},
  booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024},
  editor = {Yaser Al-Onaizan and Mohit Bansal and Yun-Nung Chen},
  publisher = {Association for Computational Linguistics},
  isbn = {979-8-89176-164-3},
}