Hongye Jin

28 papers A* 6A 2Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Stepwise Penalization for Length-Efficient Chain-of-Thought Reasoning.
CoRR
Xintong Li, Sha Li, Rongmei Lin, Hongye Jin, Linwei Li, Hejie Cui, Sarah Zhang, Chia-Yuan Chang, Kewei Cheng, Besnik Fetahu, Priyanka Nigam, Jingbo Shang, Bing Yin
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 — conf
LongLeader: A Comprehensive Leaderboard for Large Language Models in Long-context Scenarios.
NAACL (Long Papers)
Pei Chen, Hongye Jin, Cheng-Che Lee, Rulin Shao, Jingfeng Yang, Mingyu Zhao, Zhaoyu Zhang, Qin Lu, Kaiwen Men, Ning Xie, Huasheng Li, Bing Yin, Han Li, Lingyun Wang
2025 J jnl
Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning.
CoRR
Wang Yang, Zirui Liu, Hongye Jin, Qingyu Yin, Vipin Chaudhary, Xiaotian Han
2025 J jnl
Thinking Preference Optimization.
CoRR
Wang Yang, Hongye Jin, Jingfeng Yang, Vipin Chaudhary, Xiaotian Han
2024 A* conf
Gradient Rewiring for Editable Graph Neural Network Training.
NeurIPS
Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu
2024 J jnl
Gradient Rewiring for Editable Graph Neural Network Training.
CoRR
Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu
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 A* conf
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache.
ICML
Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen (Henry) Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu
2024 J jnl
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache.
CoRR
Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen (Henry) Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu
2024 — conf
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches.
EMNLP (Findings)
Jiayi Yuan, Hongyi Liu, Shaochen (Henry) Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Ben Hu
2024 J jnl
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches.
CoRR
Jiayi Yuan, Hongyi Liu, Shaochen (Henry) Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Hu
2024 J jnl
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning.
CoRR
Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu
2024 A* conf
LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning.
ICML
Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, 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
2024 A conf
Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering.
WSDM
Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu
2023 A* conf
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach.
NeurIPS
Zhimeng Stephen Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Rui Chen, Na Zou, Xia Hu
2023 A conf
Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks.
CIKM
Ruixiang Tang, Hongye Jin, Mengnan Du, Curtis Wigington, Rajiv Jain, Xia Hu
2023 J jnl
GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length.
CoRR
Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Chia-Yuan Chang, Xia Hu
2023 J jnl
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond.
CoRR
Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Bing Yin, Xia Hu
2023 J jnl
Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity.
CoRR
Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu
2023 J jnl
Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity.
Trans. Mach. Learn. Res.
Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu
2023 J jnl
Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering.
CoRR
Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu
2023 J jnl
Weight Perturbation Can Help Fairness under Distribution Shift.
CoRR
Zhimeng Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Na Zou, Xia Ben Hu
2020 A* conf
Disentangled Graph Collaborative Filtering.
SIGIR
Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua
2020 J jnl
Disentangled Graph Collaborative Filtering.
CoRR
Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua