Search results

• 2024

  Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives

  Zhao, R., Zhu, Q. Z., Xu, H., Li, J., Zhou, Y., He, Y. & Gui, L., 2024, The 62nd Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics (ACL)

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  File
  26 Downloads (Pure)

• NarrativePlay: Interactive Narrative Understanding

  Zhao, R., Zhang, W., Li, J., Zhu, L., Li, Y., He, Y. & Gui, L., 2024, EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of System Demonstrations. Aletras, N. & De Clercq, O. (eds.). Association for Computational Linguistics (ACL), p. 82-93 12 p. (EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of System Demonstrations).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • User 100%
  • Roles 33%
  • User Experience 33%
  • Immersive Environment 33%
  • Large Language Model 33%

• NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing

  Zhao, R., Zhang, W., Li, J., Zhu, L., Li, Y., He, Y. & Gui, L., 25 Mar 2024, The 38th Annual AAAI Conference on Artificial Intelligence. 21 ed. AAAI Press, Vol. 38. p. 23859-23861 3 p. (Proceedings of the AAAI Conference on Artificial Intelligence).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • User 100%
  • Roles 100%
  • User Experience 50%
  • Enabling System 50%
  • Large Language Model 50%
  2 Citations (Scopus)

• OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models

  Xu, H., He, Y., Zhu, L., Zhao, R. & Du, J., 15 Apr 2024, The 62nd Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics (ACL), 31 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Large Language Model 100%
  • Mental State 100%
  • Modeling 66%
  • Personality Trait 40%
  • And-States 33%
• 2023

  Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding

  Zhu, L., Zhao, R., Gui, L. & He, Y., 7 Oct 2023, (Accepted/In press) Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics (ACL)

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Large Language Model 100%
  • Survey 50%
  • Evaluation Metric 50%
  • Training Objective 50%
  • Narrative Comprehension 50%

• Cone: Unsupervised Contrastive Opinion Extraction

  Zhao, R., Gui, L. & He, Y., Jul 2023, The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

  • Contrastive Learning 100%
  • Opinion Summarization 100%
  87 Downloads (Pure)

• Disentangling Aspect and Stance via a Siamese Autoencoder for Aspect Clustering of Vaccination Opinions

  Zhu, L., Zhao, R., Pergola, G. & He, Y., 9 Jul 2023, Findings of the Association for Computational Linguistics: ACL 2023. Association for Computational Linguistics (ACL), p. 1827-1842 16 p. 115. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Vaccination 100%
  • User 100%
  • Mechanisms 100%
  • Sentiment Analysis 66%
  • Category 50%
  1 Citation (Scopus)

• PANACEA: An Automated Misinformation Detection System on COVID-19

  Zhao, R., Arana-catania, M., Zhu, L., Kochkina, E., Gui, L., Zubiaga, A., Procter, R., Liakata, M. & He, Y., May 2023, Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations. Association for Computational Linguistics (ACL), p. 67–74

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

  • Misinformation 100%
  • Knowledge Base 50%
  • User 25%
  • Attention (Machine Learning) 25%
  • Graph Convolutional Network 25%
  34 Downloads (Pure)