| Towards a deep and unified understanding of deep neural models in nlp C Guan, X Wang, Q Zhang, R Chen, D He, X Xie International conference on machine learning, 2454-2463, 2019 | 129 | 2019 |
| Explaining neural networks semantically and quantitatively R Chen, H Chen, J Ren, G Huang, Q Zhang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 68 | 2019 |
| LLaGA: Large Language and Graph Assistant R Chen, T Zhao, A Jaiswal, N Shah, Z Wang ICML 2024, 2024 | 58 | 2024 |
| Found in the middle: How language models use long contexts better via plug-and-play positional encoding Z Zhang, R Chen, S Liu, Z Yao, O Ruwase, B Chen, X Wu, Z Wang arXiv preprint arXiv:2403.04797, 2024 | 20 | 2024 |
| GNEM: A Generic One-to-Set Neural Entity Matching Framework R Chen, Y Shen, D Zhang International World Wide Web Conference, 2020 | 20 | 2020 |
| Q-hitter: A better token oracle for efficient llm inference via sparse-quantized kv cache Z Zhang, S Liu, R Chen, B Kailkhura, B Chen, A Wang Proceedings of Machine Learning and Systems 6, 381-394, 2024 | 13 | 2024 |
| GCF-RD: A graph-based contrastive framework for semi-supervised learning on relational databases R Chen, T Li, Y Shen, L Qiu, K Li, CC Cao Proceedings of the 31st ACM International Conference on Information …, 2022 | 3 | 2022 |
| Extracting and Understanding the Superficial Knowledge in Alignment R Chen, GJ Perin, X Chen, X Chen, Y Han, NST Hirata, J Hong, ... NAACL 2025, 2025 | | 2025 |
| GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems X Wu, D Loveland, R Chen, Y Liu, X Chen, L Neves, A Jadbabaie, CM Ju, ... arXiv preprint arXiv:2412.17245, 2024 | | 2024 |
| Enhancing Item Tokenization for Generative Recommendation through Self-Improvement R Chen, M Ju, N Bui, D Antypas, S Cai, X Wu, L Neves, Z Wang, N Shah, ... arXiv preprint arXiv:2412.17171, 2024 | | 2024 |
Zhangyang (Atlas) WangXTX Markets & University of Texas at AustinDirección de correo verificada de utexas.edu