| 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 | 2219 | 2022 |
| Multilingual and Multi-Aspect Hate Speech Analysis N Ousidhoum, Z Lin, H Zhang, Y Song, DY Yeung EMNLP-IJCNLP 2019, 4667–4676, 2019 | 431 | 2019 |
| 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 | 361* | 2024 |
| Scalable Multiplex Network Embedding H Zhang, L Qiu, L Yi, Y Song IJCAI 2018, 3082-3088, 2018 | 299 | 2018 |
| 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 | 271* | 2023 |
| Rethinking with retrieval: Faithful large language model inference H He, H Zhang, D Roth arXiv preprint arXiv:2301.00303, 2022 | 208 | 2022 |
| 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 | 189 | 2024 |
| ASER: A Large-scale Eventuality Knowledge Graph H Zhang, X Liu, H Pan, Y Song, C Wing-Ki WWW 2020, 201-211, 2020 | 187 | 2020 |
| 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 | 163 | 2024 |
| Joint Constrained Learning for Event-Event Relation Extraction H Wang, M Chen, H Zhang, D Roth EMNLP 2020, 2020 | 149 | 2020 |
| Zero-shot Event Extraction via Transfer Learning: Challenges and Insights Q Lyu, H Zhang, E Sulem, D Roth ACL 2021, 2021 | 123 | 2021 |
| TransOMCS: From Linguistic Graphs to Commonsense Knowledge H Zhang, D Khashabi, Y Song, D Roth IJCAI 2020, 2020 | 100 | 2020 |
| DSBench: How Far Are Data Science Agents from Becoming Data Science Experts? L Jing, Z Huang, X Wang, W Yao, W Yu, K Ma, H Zhang, X Du, D Yu ICLR 2025, 2025 | 84* | 2025 |
| WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge H Zhang, X Zhao, Y Song ACL 2020, 2020 | 76 | 2020 |
| Zero-shot Label-Aware Event Trigger and Argument Classification H Zhang, H Wang, D Roth ACL 2021 Findings, 1331-1340, 2021 | 72* | 2021 |
| 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 | 72 | 2021 |
| Laser: Llm agent with state-space exploration for web navigation K Ma, H Zhang, H Wang, X Pan, W Yu, D Yu arXiv preprint arXiv:2309.08172, 2023 | 69 | 2023 |
| 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 | 64 | 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 | 53 | 2022 |
| Analogous Process Structure Induction for Sub-event Sequence Prediction H Zhang, M Chen, H Wang, Y Song, D Roth EMNLP 2020, 2020 | 52 | 2020 |
Dong Yu (俞栋)Distinguished Scientist @ Tencent AI Lab, ACM/IEEE/ISCA FellowVerified email at global.tencent.com
