| GRN: Gated relation network to enhance convolutional neural network for named entity recognition H Chen, Z Lin, G Ding, J Lou, Y Zhang, B Karlsson AAAI 2019, 2019 | 120 | 2019 |
| Summ^ N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents Y Zhang, A Ni, Z Mao, CH Wu, C Zhu, B Deb, AH Awadallah, D Radev, ... ACL 2022, 2021 | 108 | 2021 |
| DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization Z Mao*, CH Wu*, A Ni, Y Zhang, R Zhang, T Yu, B Deb, C Zhu, ... ACL 2022, 2021 | 72 | 2021 |
| An Exploratory Study on Long Dialogue Summarization: What Works and What's Next Y Zhang*, A Ni*, T Yu, R Zhang, C Zhu, B Deb, A Celikyilmaz, ... Findings of EMNLP 2021, 2021 | 59 | 2021 |
| Logic-Consistency Text Generation from Semantic Parses C Shu*, Y Zhang*, X Dong, P Shi, T Yu, R Zhang Findings of ACL 2021, 2021 | 34 | 2021 |
| When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs R Kamoi, Y Zhang, N Zhang, J Han, R Zhang TACL 2024, 2024 | 32* | 2024 |
| MACSum: Controllable Summarization with Mixed Attributes Y Zhang, Y Liu, Z Yang, Y Fang, Y Chen, D Radev, C Zhu, M Zeng, ... TACL 2023, 2022 | 20 | 2022 |
| Evaluating LLMs at Detecting Errors in LLM Responses R Kamoi, SSS Das, R Lou, JJ Ahn, Y Zhao, X Lu, N Zhang, Y Zhang, ... COLM 2024, 2024 | 16* | 2024 |
| Did you ask a good question? a cross-domain question intention classification benchmark for text-to-sql Y Zhang*, X Dong*, S Chang, T Yu, P Shi, R Zhang Intex-Sempar workshop @EMNLP 2020., 2020 | 16 | 2020 |
| Chain of Agents: Large Language Models Collaborating on Long-Context Tasks Y Zhang, R Sun, Y Chen, T Pfister, R Zhang, SO Arik NeurIPS 2024, 2024 | 15 | 2024 |
| SummerTime: Text Summarization Toolkit for Non-experts A Ni, Z Azerbayev, M Mutuma, T Feng, Y Zhang, T Yu, AH Awadallah, ... EMNLP 2021 Demo, 2021 | 12 | 2021 |
| Fair Abstractive Summarization of Diverse Perspectives Y Zhang, N Zhang, Y Liu, A Fabbri, J Liu, R Kamoi, X Lu, C Xiong, J Zhao, ... NAACL 2024, 2023 | 10 | 2023 |
| Chain-of-scrutiny: Detecting backdoor attacks for large language models X Li, Y Zhang, R Lou, C Wu, J Wang arXiv preprint arXiv:2406.05948, 2024 | 8 | 2024 |
| XSemPLR: Cross-Lingual Semantic Parsing in Multiple Natural Languages and Meaning Representations Y Zhang, J Wang, Z Wang, R Zhang ACL 2023, 2023 | 6 | 2023 |
| FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization N Zhang, Y Zhang, W Guo, P Mitra, R Zhang EMNLP 2023, 2023 | 4 | 2023 |
| Visonlyqa: Large vision language models still struggle with visual perception of geometric information R Kamoi, Y Zhang, SSS Das, RH Zhang, R Zhang arXiv preprint arXiv:2412.00947, 2024 | 3 | 2024 |
| GReaTer: Gradients over Reasoning Makes Smaller Language Models Strong Prompt Optimizers SSS Das, R Kamoi, B Pang, Y Zhang, C Xiong, R Zhang ICLR 2025, 2024 | | 2024 |
| Coverage-based Fairness in Multi-document Summarization H Li, Y Zhang, R Zhang, S Chaturvedi NAACL 2025, 2024 | | 2024 |
| Verbosity Veracity: Demystify Verbosity Compensation Behavior of Large Language Models Y Zhang, SSS Das, R Zhang arXiv preprint arXiv:2411.07858, 2024 | | 2024 |
| AAAR-1.0: Assessing AI's Potential to Assist Research R Lou, H Xu, S Wang, J Du, R Kamoi, X Lu, J Xie, Y Sun, Y Zhang, JJ Ahn, ... arXiv preprint arXiv:2410.22394, 2024 | | 2024 |
Rui ZhangAssistant Professor, Computer Science and Engineering, Penn State Universitypsu.edu의 이메일 확인됨