Shaochen Zhong

25 papers A* 5A 1Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — conf
FaithLM: Towards Faithful Explanations for Large Language Models.
EACL (Volume 1: Long Papers)
Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Ruixiang Tang, Shaochen Zhong, Fan Yang, Andrew Wen, Mengnan Du, Xuanting Cai, Vladimir Braverman, Xia Hu
2025 — conf
100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability?
ACL (Findings)
Wang Yang, Hongye Jin, Shaochen Zhong, Song Jiang, Qifan Wang, Vipin Chaudhary, Xiaotian Han
2025 J jnl
100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability?
CoRR
Wang Yang, Hongye Jin, Shaochen Zhong, Song Jiang, Qifan Wang, Vipin Chaudhary, Xiaotian Han
2025 J jnl
70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float.
CoRR
Tianyi Zhang, Yang Sui, Shaochen Zhong, Vipin Chaudhary, Xia Hu, Anshumali Shrivastava
2025 J jnl
AutoL2S: Auto Long-Short Reasoning for Efficient Large Language Models.
CoRR
Feng Luo, Yu-Neng Chuang, Guanchu Wang, Hoang Anh Duy Le, Shaochen Zhong, Hongyi Liu, Jiayi Yuan, Yang Sui, Vladimir Braverman, Vipin Chaudhary, Xia Hu
2025 J jnl
Data-centric Artificial Intelligence: A Survey.
ACM Comput. Surv.
Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Zhimeng Jiang, Shaochen Zhong, Xia Ben Hu
2025 A* conf
Flexible Group Count Enables Hassle-Free Structured Pruning.
CVPR
Jiamu Zhang, Shaochen Zhong, Andrew Ye, Zirui Liu, Sebastian Zhao, Kaixiong Zhou, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu, Shuai Xu, Vipin Chaudhary
2025 — conf
In-Progress: Structured Pruning in the Wild: Benchmarking Practical Robustness Under Real-World Corruptions.
SP (Workshops)
Jiamu Zhang, Shaochen Zhong, Hoang Anh Duy Le, Xia Hu
2025 — conf
LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem.
EMNLP (Findings)
Hongyi Liu, Shaochen Zhong, Xintong Sun, Minghao Tian, Mohsen Hariri, Zirui Liu, Ruixiang Tang, Zhimeng Jiang, Jiayi Yuan, Yu-Neng Chuang, Li Li, Soo-Hyun Choi, Rui Chen, Vipin Chaudhary, Xia Hu
2025 J jnl
More for Keys, Less for Values: Adaptive KV Cache Quantization.
CoRR
Mohsen Hariri, Lam Nguyen, Sixu Chen, Shaochen Zhong, Qifan Wang, Xia Ben Hu, Xiaotian Han, Vipin Chaudhary
2025 J jnl
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.
CoRR
Yang Sui, Yu-Neng Chuang, Guanchu Wang, Jiamu Zhang, Tianyi Zhang, Jiayi Yuan, Hongyi Liu, Andrew Wen, Shaochen Zhong, Hanjie Chen, Xia Ben Hu
2025 J jnl
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.
Trans. Mach. Learn. Res.
Yang Sui, Yu-Neng Chuang, Guanchu Wang, Jiamu Zhang, Tianyi Zhang, Jiayi Yuan, Hongyi Liu, Andrew Wen, Shaochen Zhong, Na Zou, Hanjie Chen, Xia Hu
2025 A* conf
Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly.
EMNLP
Wenya Xie, Shaochen Zhong, Hoang Anh Duy Le, Zhaozhuo Xu, Jianwen Xie, Zirui Liu
2025 J jnl
Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly.
CoRR
Wenya Xie, Shaochen Zhong, Hoang Anh Duy Le, Zhaozhuo Xu, Jianwen Xie, Zirui Liu
2024 J jnl
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond.
ACM Trans. Knowl. Discov. Data
Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Shaochen Zhong, Bing Yin, Xia Ben Hu
2024 J jnl
Retrieval-Enhanced Knowledge Editing for Multi-Hop Question Answering in Language Models.
CoRR
Yucheng Shi, Qiaoyu Tan, Xuansheng Wu, Shaochen Zhong, Kaixiong Zhou, Ninghao Liu
2024 A conf
Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering.
CIKM
Yucheng Shi, Qiaoyu Tan, Xuansheng Wu, Shaochen Zhong, Kaixiong Zhou, Ninghao Liu
2024 A* conf
TVE: Learning Meta-attribution for Transferable Vision Explainer.
ICML
Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu
2024 A* conf
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion.
EMNLP
Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Ben Hu
2024 J jnl
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion.
CoRR
Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Hu
2023 J jnl
Data-centric Artificial Intelligence: A Survey.
CoRR
Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Zhimeng Jiang, Shaochen Zhong, Xia Hu
2023 J jnl
Editable Graph Neural Network for Node Classifications.
CoRR
Zirui Liu, Zhimeng Jiang, Shaochen Zhong, Kaixiong Zhou, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2023 J jnl
LETA: Learning Transferable Attribution for Generic Vision Explainer.
CoRR
Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu
2023 A* conf
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model.
NeurIPS
Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang (Ryan) Tang, Zhimeng Stephen Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu
2023 J jnl
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model.
CoRR
Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Ben Hu