| Supporting clustering with contrastive learning D Zhang, F Nan, X Wei, SW Li, H Zhu, K McKeown, R Nallapati, ... Proceedings of the 2021 conference of the North American chapter of the …, 2021 | 293 | 2021 |
| Entity-level factual consistency of abstractive text summarization F Nan, R Nallapati, Z Wang, C dos Santos, H Zhu, D Zhang, K McKeown, ... Proceedings of the 16th conference of the European chapter of the …, 2021 | 216 | 2021 |
| Topic modeling with wasserstein autoencoders F Nan, R Ding, R Nallapati, B Xiang arXiv preprint arXiv:1907.12374, 2019 | 193 | 2019 |
| End-to-end synthetic data generation for domain adaptation of question answering systems S Shakeri, C dos Santos, H Zhu, P Ng, F Nan, Z Wang, R Nallapati, ... Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 124 | 2020 |
| Improving factual consistency of abstractive summarization via question answering F Nan, C dos Santos, H Zhu, P Ng, K McKeown, R Nallapati, D Zhang, ... Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 121 | 2021 |
| Apple intelligence foundation language models T Gunter, Z Wang, C Wang, R Pang, A Narayanan, A Zhang, B Zhang, ... arXiv preprint arXiv:2407.21075, 2024 | 113 | 2024 |
| Pruning random forests for prediction on a budget F Nan, J Wang, V Saligrama Advances in Neural Information Processing Systems, 2334-2342, 2016 | 109 | 2016 |
| Adaptive Classification for Prediction Under a Budget F Nan, V Saligrama Advances in Neural Information Processing Systems, 2017 | 95 | 2017 |
| Feature-budgeted random forest F Nan, J Wang, V Saligrama International Conference on Machine Learning, 1983-1991, 2015 | 85 | 2015 |
| Toolsandbox: A stateful, conversational, interactive evaluation benchmark for llm tool use capabilities J Lu, T Holleis, Y Zhang, B Aumayer, F Nan, H Bai, S Ma, S Ma, M Li, ... Findings of the Association for Computational Linguistics: NAACL 2025, 1160-1183, 2025 | 69 | 2025 |
| Who did they respond to? conversation structure modeling using masked hierarchical transformer H Zhu, F Nan, Z Wang, R Nallapati, B Xiang Proceedings of the AAAI conference on artificial intelligence 34 (05), 9741-9748, 2020 | 46 | 2020 |
| Machine learning combining CT findings and clinical parameters improves prediction of length of stay and ICU admission in torso trauma PV Staziaki, D Wu, JC Rayan, IDO Santo, F Nan, A Maybury, ... European Radiology 31 (7), 5434-5441, 2021 | 33 | 2021 |
| Evaluating the tradeoff between abstractiveness and factuality in abstractive summarization M Dreyer, M Liu, F Nan, S Atluri, S Ravi Findings of the Association for Computational Linguistics: EACL 2023, 2089-2105, 2023 | 28 | 2023 |
| Answering ambiguous questions through generative evidence fusion and round-trip prediction Y Gao, H Zhu, P Ng, C dos Santos, Z Wang, F Nan, D Zhang, R Nallapati, ... Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 28 | 2021 |
| Towards clinical encounter summarization: Learning to compose discharge summaries from prior notes HC Shing, C Shivade, N Pourdamghani, F Nan, P Resnik, D Oard, ... arXiv preprint arXiv:2104.13498, 2021 | 28 | 2021 |
| Fast margin-based cost-sensitive classification F Nan, J Wang, K Trapeznikov, V Saligrama 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 26 | 2014 |
| SWING: Balancing coverage and faithfulness for dialogue summarization KH Huang, S Singh, X Ma, W Xiao, F Nan, N Dingwall, WY Wang, ... arXiv preprint arXiv:2301.10483, 2023 | 23 | 2023 |
| Comments on the proof of adaptive stochastic set cover based on adaptive submodularity and its implications for the group identification problem in “group-based active query … F Nan, V Saligrama IEEE Transactions on Information Theory 63 (11), 7612-7614, 2017 | 21 | 2017 |
| ToolSandbox: A Stateful J Lu, T Holleis, Y Zhang, B Aumayer, F Nan, F Bai, S Ma, S Ma, M Li, ... Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities, 2024 | 19 | 2024 |
| ContraCLM: Contrastive learning for causal language model N Jain, D Zhang, W Ahmad, Z Wang, F Nan, X Li, M Tan, R Nallapati, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 16 | 2023 |
Bing XiangHead of AI Research, Goldman SachsVerified email at gs.com
