| Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis L Yang, J Li, P Cunningham, Y Zhang, B Smyth, R Dong ACL 2021, 2021 | 65 | 2021 |
| Maec: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction J Li, L Yang, B Smyth, R Dong CIKM 2020, 2020 | 57 | 2020 |
| NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting L Yang, J Li, R Dong, Y Zhang, B Smyth AAAI 2022, 2022 | 38 | 2022 |
| PHEE: A Dataset for Pharmacovigilance Event Extraction from Text Z Sun, J Li, G Pergola, BC Wallace, B John, N Greene, J Kim, Y He EMNLP 2022, 2022 | 33 | 2022 |
| Distilling ChatGPT for Explainable Automated Student Answer Assessment J Li, L Gui, Y Zhou, D West, C Aloisi, Y He EMNLP 2023, 2023 | 28 | 2023 |
| NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization J Lu, J Li, BC Wallace, Y He, G Pergola EACL 2023, 2023 | 23 | 2023 |
| OverPrompt: Enhancing ChatGPT through Efficient In-Context Learning J Li*, R Zhao*, Y Yang, Y He, L Gui NeurIPS 2023 R0-FoMo, 2023 | 20* | 2023 |
| Narrativeplay: Interactive Narrative Understanding R Zhao, W Zhang, J Li, L Zhu, Y Li, Y He, L Gui EACL 2024, 2023 | 14 | 2023 |
| The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis Y Zhou, J Li, Y Xiang, H Yan, L Gui, Y He EMNLP 2024, 2024 | 6* | 2024 |
| Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence J Lu*, J Li*, S An, M Zhao, Y He, D Yin, X Sun EMNLP 2024, 2024 | 6 | 2024 |
| NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing R Zhao, W Zhang, J Li, L Zhu, Y Li, Y He, L Gui AAAI 2024, 2024 | 5 | 2024 |
| Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives R Zhao, Q Zhu, H Xu, J Li, Y Zhou, Y He, L Gui ACL 2024, 2024 | 5 | 2024 |
| CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models J Li, Z Sun, B Liang, L Gui, Y He UAI 2023, 2023 | 5 | 2023 |
| Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring J Li, H Xu, Z Sun, Y Zhou, D West, C Aloisi, Y He EMNLP 2024, NeurIPS 2024 FM-EduAssess Oral, 2024 | 3 | 2024 |
| AERA Chat: An Interactive Platform for Automated Explainable Student Answer Assessment J Li, A Bobrov, D West, C Aloisi, Y He arXiv preprint arXiv:2410.09507, 2024 | 1 | 2024 |
| AQP: An Open Modular Python Platform for Objective Speech and Audio Quality Metrics J Geraghty, J Li, A Ragano, A Hines ACM MMsys 2022, 2022 | 1 | 2022 |
| An Automated Explainable Educational Assessment System Built on LLMs J Li, A Bobrov, D West, C Aloisi, Y He AAAI 2025, 2025 | | 2025 |
| ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language Z Sun, J Li, G Pergola, Y He AAAI 2025, 2025 | | 2025 |
| Composite Relationship Discovery Framework P O'hara, Y Wu, J Li, C McGovern, MC Kaufmann, ER Ortiz, K O'connor, ... US Patent US11693879B2, 2022 | | 2022 |
| Feature Selection Based on Unsupervised Learning Y Wu, J Li, P O'hara, MC Kaufmann US Patent App. 17/328,427, 2022 | | 2022 |
Yulan HeProfessor, King's College London; Turing AI FellowVerified email at kcl.ac.uk
