| AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversations Q Wu, G Bansal, J Zhang, Y Wu, B Li, E Zhu, L Jiang, X Zhang, S Zhang, ... COLM 2024, 2024 | 6055 | 2024 |
| Datacomp: In search of the next generation of multimodal datasets SY Gadre, G Ilharco, A Fang, J Hayase, G Smyrnis, T Nguyen, R Marten, ... NeurIPS 2023, 2023 | 989 | 2023 |
| Datacomp-lm: In search of the next generation of training sets for language models J Li, A Fang, G Smyrnis, M Ivgi, M Jordan, SY Gadre, H Bansal, E Guha, ... NeurIPS 2025, 14200-14282, 2025 | 637* | 2025 |
| Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias Y Yu*, Y Zhuang*, J Zhang*, Y Meng, A Ratner, R Krishna, J Shen, ... NeurIPS 2023, 2023 | 500 | 2023 |
| Scibench: Evaluating college-level scientific problem-solving abilities of large language models X Wang, Z Hu, P Lu, Y Zhu, J Zhang, S Subramaniam, AR Loomba, ... ICML 2024, 2024 | 477 | 2024 |
| SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality CY Hsieh*, J Zhang*, Z Ma, A Kembhavi, R Krishna NeurIPS 2023, 2023 | 341 | 2023 |
| Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems S Zhang, M Yin, J Zhang, J Liu, Z Han, J Zhang, B Li, C Wang, H Wang, ... arXiv preprint arXiv:2505.00212, 2025 | 296 | 2025 |
| Blip-3: A family of open large multimodal models L Xue, M Shu, A Awadalla, J Wang, A Yan, S Purushwalkam, H Zhou, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2025 | 280* | 2025 |
| Task me anything J Zhang, W Huang, Z Ma, O Michel, D He, T Gupta, WC Ma, A Farhadi, ... NeurIPS 2024, 19965-19974, 2025 | 274* | 2025 |
| Ehragent: Code empowers large language models for few-shot complex tabular reasoning on electronic health records W Shi, R Xu, Y Zhuang, Y Yu, J Zhang, H Wu, Y Zhu, JC Ho, C Yang, ... Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 240 | 2024 |
| Molmoact: Action reasoning models that can reason in space J Lee, J Duan, H Fang, Y Deng, S Liu, B Li, B Fang, J Zhang, YR Wang, ... 2026 IEEE International Conference on Robotics and Automation (ICRA), 2585-2592, 2026 | 226* | 2026 |
| Spatial Mental Modeling from Limited Views Q Wang, B Yin, P Zhang, J Zhang, K Wang, Z Wang, J Zhang, ... The Fourteenth International Conference on Learning Representations, 0 | 197* | |
| Molmo2: Open weights and data for vision-language models with video understanding and grounding C Clark, J Zhang, Z Ma, JS Park, R Tripathi, S Lee, M Salehi, J Ren, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2026 | 168* | 2026 |
| WRENCH: A Comprehensive Benchmark for Weak Supervision J Zhang, Y Yu, Y Li, Y Wang, Y Yang, M Yang, A Ratner NeurIPS 2021, 2021 | 167 | 2021 |
| Nemotron-research-tool-n1: Tool-using language models with reinforced reasoning S Zhang, Y Dong, J Zhang, J Kautz, B Catanzaro, A Tao, Q Wu, Z Yu, ... arXiv preprint arXiv:2505.00024 2 (10), 2025 | 111* | 2025 |
| EcoAssistant: Using LLM Assistant More Affordably and Accurately J Zhang, R Krishna, AH Awadallah, C Wang arXiv preprint arXiv:2310.03046, 2023 | 97 | 2023 |
| Offline Training of Language Model Agents with Functions as Learnable Weights S Zhang, J Zhang, J Liu, L Song, C Wang, R Krishna, Q Wu ICML 2024, 2024 | 86* | 2024 |
| Subclass-balancing contrastive learning for long-tailed recognition C Hou, J Zhang, H Wang, T Zhou 2023 IEEE/CVF International Conference on Computer Vision (ICCV), 5372-5384, 2023 | 81 | 2023 |
| Explaining Length Bias in LLM-Based Preference Evaluations. Z Hu, L Song, J Zhang, Z Xiao, T Wang, Z Chen, NJ Yuan, J Lian, K Ding, ... EMNLP (Findings), 6763-6794, 2025 | 80 | 2025 |
| Coact-1: Computer-using multi-agent system with coding actions L Song, Y Dai, V Prabhu, J Zhang, T Shi, L Li, J Li, Z Chen, J Zhao, R Xu, ... The Fourteenth International Conference on Learning Representations, 2026 | 73* | 2026 |
Ranjay KrishnaUniversity of Washington, Microsoft AIVerified email at cs.washington.edu
