| Raft: Reward ranked finetuning for generative foundation model alignment H Dong, W Xiong, D Goyal, R Pan, S Diao, J Zhang, K Shum, T Zhang Transactions on Machine Learning Research (TMLR), 2023 | 628 | 2023 |
| Ragtruth: A hallucination corpus for developing trustworthy retrieval-augmented language models Y Wu, J Zhu, S Xu, K Shum, C Niu, R Zhong, J Song, T Zhang (ACL 2024) Proceedings of the 62nd Annual Meeting of the Association for …, 2024 | 221 | 2024 |
| Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data K Shum, S Diao, T Zhang (EMNLP 2023) In Findings of the Association for Computational Linguistics …, 2023 | 185 | 2023 |
| Lmflow: An extensible toolkit for finetuning and inference of large foundation models S Diao, R Pan, H Dong, K Shum, J Zhang, W Xiong, T Zhang (NAACL 2024) In Proceedings of the 2024 Conference of the North American …, 2024 | 75 | 2024 |
| TILGAN: transformer-based implicit latent GAN for diverse and coherent text generation S Diao, X Shen, K Shum, Y Song, T Zhang (ACL 2021) Findings of the Association for Computational linguistics: ACL …, 2021 | 39 | 2021 |
| Plum: Prompt learning using metaheuristic R Pan, S Xing, S Diao, X Liu, K Shum, J Zhang, T Zhang (ACL 2024) Findings of the Association for Computational Linguistics ACL 2024, 2024 | 18 | 2024 |
| Raft: Reward ranked finetuning for generative foundation model alignment, 2023 H Dong, W Xiong, D Goyal, Y Zhang, W Chow, R Pan, S Diao, J Zhang, ... URL https://arxiv. org/abs/2304.06767, 0 | 15 | |
| FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation K Shum, M Xu, J Zhang, Z Chen, S Diao, H Dong, J Zhang, MO Raza (EMNLP 2024) Proceedings of the 2024 Conference on Empirical Methods in …, 2024 | 9 | 2024 |
| Predictive data selection: The data that predicts is the data that teaches K Shum, Y Huang, H Zou, Q Ding, Y Liao, X Chen, Q Liu, J He [ICML 2025] Forty-Second International Conference on Machine Learning, 2025 | 8 | 2025 |
| Plum: Prompt Learning Using Metaheuristics R Pan, S Xing, S Diao, W Sun, X Liu, K Shum, J Zhang, R Pi, T Zhang Findings of the Association for Computational Linguistics: ACL 2024, 2177-2197, 2024 | 8 | 2024 |
| Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question Answering Z Chen, S Song, K Shum, Y Lin, R Sheng, H Qu [EMNLP 2025] The 2025 Conference on Empirical Methods in Natural Language …, 2025 | 4 | 2025 |
| MegaFlow: Large-Scale Distributed Orchestration System for the Agentic Era L Zhang, M Chen, R Cao, J Chen, F Zhou, Y Xu, J Yang, L Chen, C Luo, ... arXiv preprint arXiv:2601.07526, 2026 | | 2026 |
| SWE-RM: Execution-free Feedback For Software Engineering Agents KS Shum, B Hui, J Chen, L Zhang, J Yang, Y Huang, J Lin, J He arXiv preprint arXiv:2512.21919, 2025 | | 2025 |
| An Improved Autoregressive Evaluation Paradigm for Large Language Models J Zhang, R Pan, Y Hu, K SHUM, G Yao, X Liu, R Pi, H Dong, S Diao, Y Lin, ... ACM Transactions on Intelligent Systems and Technology, 2025 | | 2025 |
Tong ZhangUIUCVerified email at tongzhang-ml.org
