| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models TMLR, 2023 | 1089* | 2023 |
| KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning BY Lin, X Chen, J Chen, X Ren Proceedings of EMNLP 2019 (oral), 2019 | 522 | 2019 |
| CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning BY Lin, W Zhou, M Shen, P Zhou, C Bhagavatula, Y Choi, X Ren in Findings of EMNLP 2020, 2020 | 360 | 2020 |
| Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering Y Feng, X Chen, BY Lin, P Wang, J Yan, X Ren in Proc. of EMNLP 2020, 2020 | 247 | 2020 |
| Faith and Fate: Limits of Transformers on Compositionality N Dziri, X Lu, M Sclar, XL Li, L Jiang, BY Lin, P West, C Bhagavatula, ... in NeurIPS 2023, 2023 | 220 | 2023 |
| Multi-channel BiLSTM-CRF Model for Emerging Named Entity Recognition in Social Media BY Lin, FF Xu, Z Luo, KQ Zhu Proceedings of EMNLP 2017 W-NUT Workshop, 2017 | 163 | 2017 |
| FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks BY Lin, C He, Z Zeng, H Wang, Y Huang, M Soltanolkotabi, X Ren, ... in Proc. of NAACL 2022 Findings, 2022 | 157* | 2022 |
| CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Q Ye, BY Lin, X Ren EMNLP 2021, 2021 | 148 | 2021 |
| Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-trained Language Models BY Lin, S Lee, R Khanna, X Ren in Proc. of EMNLP 2020, 2020 | 144 | 2020 |
| LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion D Jiang, X Ren, BY Lin in Proc. of ACL 2023, 2023 | 122* | 2023 |
| Neural Adaptation Layers for Cross-domain Named Entity Recognition BY Lin, W Lu Proceedings of EMNLP 2018, 2018 | 117 | 2018 |
| Swiftsage: A generative agent with fast and slow thinking for complex interactive tasks BY Lin, Y Fu, K Yang, F Brahman, S Huang, C Bhagavatula, ... NeurIPS 2023, 2023 | 101* | 2023 |
| TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition BY Lin, DH Lee, M Shen, R Moreno, X Huang, P Shiralkar, X Ren in Proc. of ACL 2020, 2020 | 100 | 2020 |
| Lorahub: Efficient cross-task generalization via dynamic lora composition C Huang, Q Liu, BY Lin, T Pang, C Du, M Lin arXiv preprint arXiv:2307.13269, 2023 | 85 | 2023 |
| The unlocking spell on base llms: Rethinking alignment via in-context learning BY Lin, A Ravichander, X Lu, N Dziri, M Sclar, K Chandu, C Bhagavatula, ... ICLR 2024, 2024 | 73 | 2024 |
| Pre-training Text-to-Text Transformers for Concept-Centric Common Sense W Zhou, DH Lee, RK Selvam, S Lee, BY Lin, X Ren in Proc. of ICLR 2021, 2021 | 69 | 2021 |
| NERO: A neural rule grounding framework for label-efficient relation extraction W Zhou, H Lin, BY Lin, Z Wang, J Du, L Neves, X Ren Proceedings of The Web Conference (WWW) 2020, 2020 | 60 | 2020 |
| Personalized soups: Personalized large language model alignment via post-hoc parameter merging J Jang, S Kim, BY Lin, Y Wang, J Hessel, L Zettlemoyer, H Hajishirzi, ... arXiv preprint arXiv:2310.11564, 2023 | 54 | 2023 |
| FreeDOM: A transferable neural architecture for structured information extraction on web documents BY Lin, Y Sheng, N Vo, S Tata Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 54 | 2020 |
| RewardBench: Evaluating Reward Models for Language Modeling N Lambert, V Pyatkin, J Morrison, LJ Miranda, BY Lin, K Chandu, N Dziri, ... arXiv preprint arXiv:2403.13787, 2024 | 51 | 2024 |
Sean (Xiang) RenViterbi Early Career Chair & Associate Professor, University of Southern CaliforniaVerified email at usc.edu
