| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... Transactions on Machine Learning Research, 2022 | 1300 | 2022 |
| Multilingual and Multi-Aspect Hate Speech Analysis N Ousidhoum, Z Lin, H Zhang, Y Song, DY Yeung EMNLP-IJCNLP 2019, 4667–4676, 2019 | 354 | 2019 |
| Scalable Multiplex Network Embedding H Zhang, L Qiu, L Yi, Y Song IJCAI 2018, 3082-3088, 2018 | 268 | 2018 |
| ASER: A Large-scale Eventuality Knowledge Graph H Zhang, X Liu, H Pan, Y Song, C Wing-Ki WWW 2020, 201-211, 2020 | 174 | 2020 |
| Rethinking with retrieval: Faithful large language model inference H He, H Zhang, D Roth arXiv preprint arXiv:2301.00303, 2022 | 152 | 2022 |
| Joint Constrained Learning for Event-Event Relation Extraction H Wang, M Chen, H Zhang, D Roth EMNLP 2020, 2020 | 137 | 2020 |
| A stitch in time saves nine: Detecting and mitigating hallucinations of llms by validating low-confidence generation N Varshney, W Yao, H Zhang, J Chen, D Yu arXiv preprint arXiv:2307.03987, 2023 | 121 | 2023 |
| Zero-shot Event Extraction via Transfer Learning: Challenges and Insights Q Lyu, H Zhang, E Sulem, D Roth ACL 2021, 2021 | 107 | 2021 |
| TransOMCS: From Linguistic Graphs to Commonsense Knowledge H Zhang, D Khashabi, Y Song, D Roth IJCAI 2020, 2020 | 89 | 2020 |
| WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models H He, W Yao, K Ma, W Yu, Y Dai, H Zhang, Z Lan, D Yu ACL 2024, 2024 | 85* | 2024 |
| Chain-of-note: Enhancing robustness in retrieval-augmented language models W Yu, H Zhang, X Pan, K Ma, H Wang, D Yu EMNLP 2024, 2024 | 80 | 2024 |
| RESIN: A Dockerlized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System H Wen, Y Lin, TM Lai, X Pan, S Li, X Lin, B Zhou, M Li, H Wang, H Zhang, ... NAACL 2021 Demo, 2021 | 66 | 2021 |
| Zero-shot Label-Aware Event Trigger and Argument Classification H Zhang, H Wang, D Roth ACL 2021 Findings, 1331-1340, 2021 | 62* | 2021 |
| WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge H Zhang, X Zhao, Y Song ACL 2020, 2020 | 62 | 2020 |
| Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema Y Elazar, H Zhang, Y Goldberg, D Roth EMNLP 2021, 10486-10500, 2021 | 54 | 2021 |
| ASER: Towards large-scale commonsense knowledge acquisition via higher-order selectional preference over eventualities H Zhang, X Liu, H Pan, H Ke, J Ou, T Fang, Y Song Artificial Intelligence, 2022 | 48 | 2022 |
| Analogous Process Structure Induction for Sub-event Sequence Prediction H Zhang, M Chen, H Wang, Y Song, D Roth EMNLP 2020, 2020 | 48 | 2020 |
| Knowledge-aware Pronoun Coreference Resolution H Zhang, Y Song, Y Song, D Yu ACL 2019, 867--876, 2019 | 46 | 2019 |
| Dense x retrieval: What retrieval granularity should we use? T Chen, H Wang, S Chen, W Yu, K Ma, X Zhao, D Yu, H Zhang EMNLP 2024, 2024 | 44 | 2024 |
| Incorporating Context and External Knowledge for Pronoun Coreference Resolution H Zhang, Y Song, Y Song NAACL-HLT 2019, 872-881, 2019 | 42 | 2019 |
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