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2020 – today
- 2024
[c6]Runjin Chen, Tong Zhao, Ajay Kumar Jaiswal, Neil Shah, Zhangyang Wang:
LLaGA: Large Language and Graph Assistant. ICML 2024- [c5]Zhenyu Zhang, Shiwei Liu, Runjin Chen, Bhavya Kailkhura, Beidi Chen, Atlas Wang:
Q-Hitter: A Better Token Oracle for Efficient LLM Inference via Sparse-Quantized KV Cache. MLSys 2024 - [i3]Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang:
LLaGA: Large Language and Graph Assistant. CoRR abs/2402.08170 (2024) - [i2]Zhenyu Zhang, Runjin Chen, Shiwei Liu, Zhewei Yao, Olatunji Ruwase, Beidi Chen, Xiaoxia Wu, Zhangyang Wang:
Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding. CoRR abs/2403.04797 (2024) - 2022
- [c4]Runjin Chen, Tong Li, Yanyan Shen, Luyu Qiu, Kaidi Li, Caleb Chen Cao:
GCF-RD: A Graph-based Contrastive Framework for Semi-Supervised Learning on Relational Databases. CIKM 2022: 222-231 - 2021
- [c3]Runjin Chen, Yanyan Shen, Dongxiang Zhang:
GNEM: A Generic One-to-Set Neural Entity Matching Framework. WWW 2021: 1686-1694
2010 – 2019
- 2019
- [c2]Runjin Chen, Hao Chen
, Ge Huang, Jie Ren, Quanshi Zhang:
Explaining Neural Networks Semantically and Quantitatively. ICCV 2019: 9186-9195 - [c1]Chaoyu Guan, Xiting Wang, Quanshi Zhang, Runjin Chen, Di He, Xing Xie:
Towards a Deep and Unified Understanding of Deep Neural Models in NLP. ICML 2019: 2454-2463 - 2018
- [i1]Runjin Chen, Hao Chen, Ge Huang, Jie Ren, Quanshi Zhang:
Explaining Neural Networks Semantically and Quantitatively. CoRR abs/1812.07169 (2018)
Coauthor Index
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