Hongye Jin

According to our database, Hongye Jin authored at least 21 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability?

Wang Yang, Hongye Jin, Shaochen Zhong, Song Jiang, Qifan Wang, Vipin Chaudhary, Xiaotian Han

CoRR, May, 2025

Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning.

Wang Yang, Zirui Liu, Hongye Jin, Qingyu Yin, Vipin Chaudhary, Xiaotian Han

CoRR, May, 2025

Thinking Preference Optimization.

Wang Yang, Hongye Jin, Jingfeng Yang, Vipin Chaudhary, Xiaotian Han

CoRR, February, 2025

LongLeader: A Comprehensive Leaderboard for Large Language Models in Long-context Scenarios.

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

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability?

Van Yang, Hongye Jin, Shaochen Zhong, Song Jiang, Qifan Wang, Vipin Chaudhary, Xiaotian Han

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond.

Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Shaochen Zhong, Bing Yin, Xia Ben Hu

ACM Trans. Knowl. Discov. Data, July, 2024

LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning.

Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu

CoRR, 2024

Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering.

Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Gradient Rewiring for Editable Graph Neural Network Training.

Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache.

Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen (Henry) Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning.

Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion.

Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Ben Hu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity.

Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu

Trans. Mach. Learn. Res., 2023

GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length.

Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Chia-Yuan Chang, Xia Hu

CoRR, 2023

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond.

Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Bing Yin, Xia Hu

CoRR, 2023

Weight Perturbation Can Help Fairness under Distribution Shift.

Zhimeng Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Na Zou, Xia Ben Hu

CoRR, 2023

Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity.

Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu

CoRR, 2023

Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach.

Zhimeng Stephen Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Rui Chen, Na Zou, Xia Hu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks.

Ruixiang Tang, Hongye Jin, Mengnan Du, Curtis Wigington, Rajiv Jain, Xia Hu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2020

Disentangled Graph Collaborative Filtering.

Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020