Xu, Liyan, Su, Zhenlin, Yu, Mo, Xu, Jin, Choi, Jinho D, Zhou, Jie, and Liu, Fei. Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy. Retrieved from https://par.nsf.gov/biblio/10546810.

Xu, Liyan, Su, Zhenlin, Yu, Mo, Xu, Jin, Choi, Jinho D, Zhou, Jie, & Liu, Fei. Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy. Retrieved from https://par.nsf.gov/biblio/10546810.

Xu, Liyan, Su, Zhenlin, Yu, Mo, Xu, Jin, Choi, Jinho D, Zhou, Jie, and Liu, Fei. "Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy". Country unknown/Code not available: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Findings. https://par.nsf.gov/biblio/10546810.

@article{osti_10546810,
place = {Country unknown/Code not available}, title = {Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy}, url = {https://par.nsf.gov/biblio/10546810}, abstractNote = {}, journal = {}, publisher = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Findings}, author = {Xu, Liyan and Su, Zhenlin and Yu, Mo and Xu, Jin and Choi, Jinho D and Zhou, Jie and Liu, Fei}, }