| Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations C Chan, J Cheng, W Wang, Y Jiang, T Fang, X Liu, Y Song Findings of EACL 2024, 684–721, 2024 | 90* | 2024 |
| Lion: Adversarial Distillation of Proprietary Large Language Models Y Jiang, C Chan, M Chen, W Wang EMNLP 2023, Oral, 3134–3154, 2023 | 85 | 2023 |
| Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning Y Jiang, L Zhang, W Wang Findings of EMNLP 2022, 3021–3035, 2022 | 46 | 2022 |
| FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models Y Jiang, Y Wang, X Zeng, W Zhong, L Li, F Mi, L Shang, X Jiang, Q Liu, ... ACL 2024, Main, 4667–4688, 2024 | 42 | 2024 |
| AMR-DA: Data Augmentation by Abstract Meaning Representation Z Shou, Y Jiang, F Lin Findings of ACL 2022, 3082–3098, 2022 | 21 | 2022 |
| MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models WC Kwan, X Zeng, Y Jiang, Y Wang, L Li, L Shang, X Jiang, Q Liu, ... EMNLP 2024, Main, 20153–20177, 2024 | 20 | 2024 |
| M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models WC Kwan, X Zeng, Y Wang, Y Sun, L Li, Y Jiang, L Shang, Q Liu, ... ACL 2024, Outstanding Paper Award, 15568–15592, 2024 | 19 | 2024 |
| Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation Recognition Y Jiang, L Zhang, W Wang Findings of ACL 2023, 8048–8064, 2023 | 18 | 2023 |
| Learning to Edit: Aligning LLMs with Knowledge Editing Y Jiang, Y Wang, C Wu, W Zhong, X Zeng, J Gao, L Li, X Jiang, L Shang, ... ACL 2024, Main, 4689–4705, 2024 | 13 | 2024 |
| Deep Continuous Prompt for Contrastive Learning of Sentence Embeddings Y Jiang, W Wang arXiv preprint arXiv:2203.06875, 2022 | 8 | 2022 |
| RevisEval: Improving LLM-as-a-Judge via Response-Adapted References Q Zhang, Y Wang, T Yu, Y Jiang, C Wu, L Li, Y Wang, X Jiang, L Shang, ... ICLR 2025, 2024 | 5 | 2024 |
| Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization Y Jiang, B Huang, Y Wang, X Zeng, L Li, Y Wang, X Jiang, L Shang, ... ICLR 2025, 2024 | 2 | 2024 |
| Weighted Sampling for Masked Language Modeling L Zhang, Q Chen, W Wang, C Deng, X Cao, K Hao, Y Jiang, W Wang ICASSP 2023, Top 3% Paper Recognition, 1-5, 2023 | 2 | 2023 |
| XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning Y Jiang, Z Shou, Q Wang, H Wu, F Lin SemEval@ACL 2021, 793–798, 2021 | 2 | 2021 |
| Persona Knowledge-Aligned Prompt Tuning Method for Online Debate C Chan, J Cheng, X Liu, Y Yim, Y Jiang, Z Deng, H Li, Y Song, GY Wong, ... ECAI 2024, 3851–3858, 2024 | 1* | 2024 |
| The Mixed AM-GM and GM-HM Inequalities J Liu, J Liu, Y Jiang JP JOURNAL OF ALGEBRA NUMBER THEORY AND APPLICATIONS 40 (4), 557-563, 2018 | 1 | 2018 |
| Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge Q Zhang, Y Wang, Y Jiang, L Li, C Wu, Y Wang, X Jiang, L Shang, R Tang, ... arXiv preprint arXiv:2502.12501, 2025 | | 2025 |
| When Evolution Strategy Meets Language Models Tuning B Huang, Y Jiang, M Chen, Y Wang, H Chen, W Wang COLING 2025, 5333–5344, 2025 | | 2025 |
| Exploiting Correlations Between Contexts and Definitions with Multiple Definition Modeling L Zhang, Q Chen, W Wang, Y Jiang, B Li, W Wang, X Cao arXiv preprint arXiv:2305.14717, 2023 | | 2023 |
Yufei WangHuawei Noah's Ark LabВерификована је имејл адреса на huawei.com
