Code4Struct: Code Generation for Few-Shot Event Structure Prediction X Wang, S Li, H Ji Proceedings of the 61st Annual Meeting of the Association for Computational …, 2022 | 114* | 2022 |
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback X Wang, Z Wang, J Liu, Y Chen, L Yuan, H Peng, H Ji Proceedings of the International Conference on Learning Representations …, 2023 | 101 | 2023 |
Executable code actions elicit better LLM agents X Wang, Y Chen, L Yuan, Y Zhang, Y Li, H Peng, H Ji arXiv preprint arXiv:2402.01030, 2024 | 91 | 2024 |
Towards scalable distributed training of deep learning on public cloud clusters S Shi, X Zhou, S Song, X Wang, Z Zhu, X Huang, X Jiang, F Zhou, Z Guo, ... Proceedings of Machine Learning and Systems 3, 401-412, 2021 | 68 | 2021 |
Advancing llm reasoning generalists with preference trees L Yuan, G Cui, H Wang, N Ding, X Wang, J Deng, B Shan, H Chen, R Xie, ... arXiv preprint arXiv:2404.02078, 2024 | 67 | 2024 |
If LLM is the Wizard, then Code is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents K Yang, J Liu, J Wu, C Yang, YR Fung, S Li, Z Huang, X Cao, X Wang, ... arXiv preprint arXiv:2401.00812, 2024 | 60 | 2024 |
Potato: The portable text annotation tool J Pei, A Ananthasubramaniam, X Wang, N Zhou, J Sargent, A Dedeloudis, ... Proceedings of the The 2022 Conference on Empirical Methods in Natural …, 2022 | 52 | 2022 |
OpenHands: An Open Platform for AI Software Developers as Generalist Agents X Wang, B Li, Y Song, FF Xu, X Tang, M Zhuge, J Pan, Y Song, B Li, ... arXiv preprint arXiv:2407.16741, 2024 | 49 | 2024 |
R-tuning: Teaching large language models to refuse unknown questions H Zhang, S Diao, Y Lin, YR Fung, Q Lian, X Wang, Y Chen, H Ji, T Zhang Proceedings of the 2024 Annual Conference of the North American Chapter of …, 2023 | 49 | 2023 |
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets L Yuan, Y Chen, X Wang, YR Fung, H Peng, H Ji Proceedings of the International Conference on Learning Representations …, 2023 | 45 | 2023 |
LETI: Learning to Generate from Textual Interactions X Wang, H Peng, R Jabbarvand, H Ji Findings of the Association for Computational Linguistics: NAACL 2024, 2023 | 29 | 2023 |
R-Tuning: Instructing Large Language Models to Say ‘I Don’t Know’ H Zhang, S Diao, Y Lin, Y Fung, Q Lian, X Wang, Y Chen, H Ji, T Zhang Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 26 | 2024 |
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales T Xu, S Wu, S Diao, X Liu, X Wang, Y Chen, J Gao arXiv preprint arXiv:2405.20974, 2024 | 15 | 2024 |
Defining a New NLP Playground S Li, C Han, P Yu, C Edwards, M Li, X Wang, YR Fung, C Yu, JR Tetreault, ... Findings of the Association for Computational Linguistics: EMNLP 2023, 2023 | 14 | 2023 |
ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation Y Chen, X Wang, M Li, D Hoiem, H Ji Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 9 | 2023 |
A Single Transformer for Scalable Vision-Language Modeling Y Chen, X Wang, H Peng, H Ji arXiv preprint arXiv:2407.06438, 2024 | 8 | 2024 |
Text-Based Reasoning About Vector Graphics Z Wang, J Hsu, X Wang, KH Huang, M Li, J Wu, H Ji arXiv preprint arXiv:2404.06479, 2024 | 6 | 2024 |
An animated picture says at least a thousand words: Selecting Gif-based Replies in Multimodal Dialog X Wang, D Jurgens Findings of the Association for Computational Linguistics: EMNLP 2021, 2021 | 6 | 2021 |
Prudent Silence or Foolish Babble? Examining Large Language Models' Responses to the Unknown G Liu, X Wang, L Yuan, Y Chen, H Peng arXiv preprint arXiv:2311.09731, 2023 | 5 | 2023 |
Training Software Engineering Agents and Verifiers with SWE-Gym J Pan, X Wang, G Neubig, N Jaitly, H Ji, A Suhr, Y Zhang arXiv preprint arXiv:2412.21139, 2024 | | 2024 |