| Bloom: A 176b-parameter open-access multilingual language model T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... | 1833 | 2023 |
| Crosslingual generalization through multitask finetuning N Muennighoff, T Wang, L Sutawika, A Roberts, S Biderman, TL Scao, ... ACL 2023, 2022 | 689 | 2022 |
| Toolllm: Facilitating large language models to master 16000+ real-world apis Y Qin, S Liang, Y Ye, K Zhu, L Yan, Y Lu, Y Lin, X Cong, X Tang, B Qian, ... ICLR 2024, 2023 | 510 | 2023 |
| RWKV: Reinventing RNNs for the Transformer Era B Peng, E Alcaide, Q Anthony, A Albalak, S Arcadinho, H Cao, X Cheng, ... EMNLP 2023, 2023 | 504* | 2023 |
| PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts SH Bach, V Sanh, ZX Yong, A Webson, C Raffel, NV Nayak, A Sharma, ... ACL 2022, 2022 | 338 | 2022 |
| Dart: Open-domain structured data record to text generation L Nan, D Radev, R Zhang, A Rau, A Sivaprasad, C Hsieh, X Tang, A Vyas, ... TACL 2021, 2021 | 202* | 2021 |
| Starcoder 2 and the stack v2: The next generation A Lozhkov, R Li, LB Allal, F Cassano, J Lamy-Poirier, N Tazi, A Tang, ... arXiv preprint arXiv:2402.19173, 2024 | 193 | 2024 |
| Octopack: Instruction tuning code large language models N Muennighoff, Q Liu, A Zebaze, Q Zheng, B Hui, TY Zhuo, S Singh, ... ICLR 2024, 2023 | 183 | 2023 |
| Survey on factuality in large language models: Knowledge, retrieval and domain-specificity C Wang, X Liu, Y Yue, X Tang, T Zhang, C Jiayang, Y Yao, W Gao, X Hu, ... ACM Computing Surveys, 2023 | 181 | 2023 |
| Medagents: Large language models as collaborators for zero-shot medical reasoning X Tang, A Zou, Z Zhang, Y Zhao, X Zhang, A Cohan, M Gerstein ACL 2024, 2023 | 148* | 2023 |
| FeTaQA: Free-form Table Question Answering L Nan, C Hsieh, Z Mao, XV Lin, N Verma, R Zhang, W Kryściński, ... TACL 2022, 2022 | 116* | 2022 |
| Investigating data contamination in modern benchmarks for large language models C Deng, Y Zhao, X Tang, M Gerstein, A Cohan NAACL 2024, 2023 | 84* | 2023 |
| CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning X Tang, A Nair, B Wang, B Wang, J Desai, A Wade, H Li, A Celikyilmaz, ... NAACL 2022, 2021 | 72 | 2021 |
| Agents: An open-source framework for autonomous language agents W Zhou, YE Jiang, L Li, J Wu, T Wang, S Qiu, J Zhang, J Chen, R Wu, ... ICLR 2024 Workshop on LLM Agents, 2023 | 59 | 2023 |
| 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 | 50 | 2024 |
| Data interpreter: An llm agent for data science S Hong, Y Lin, B Liu, B Liu, B Wu, C Zhang, C Wei, D Li, J Chen, J Zhang, ... arXiv preprint arXiv:2402.18679, 2024 | 50 | 2024 |
| Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents Z Zhang, Y Yao, A Zhang, X Tang, X Ma, Z He, Y Wang, M Gerstein, ... arXiv preprint arXiv:2311.11797, 2023 | 43 | 2023 |
| Multi-modal Self-supervised Pre-training for Regulatory Genome Across Cell Types S Mo, X Fu, C Hong, Y Chen, Y Zheng, X Tang, Z Shen, EP Xing, Y Lan NeurIPS 2021 AI for Science, 2021 | 35* | 2021 |
| Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data? X Tang, Y Zong, J Phang, Y Zhao, W Zhou, A Cohan, M Gerstein NAACL 2024, 2023 | 31* | 2023 |
| Lessons from the trenches on reproducible evaluation of language models S Biderman, H Schoelkopf, L Sutawika, L Gao, J Tow, B Abbasi, AF Aji, ... arXiv preprint arXiv:2405.14782, 2024 | 28 | 2024 |
Mark GersteinProfessor of Biomedical Informatics, Yale UniversityZweryfikowany adres z yale.edu
