Deep Learning

HyperEdit: Unlocking Instruction-based Text Editing in LLMs via Hypernetworks
Instruction-based text editing is increasingly critical for real-world applications such as code editors (e.g., Cursor), but Large …
Yiming Zeng, Jinghan Cao, Zexin Li, Wanhao Yu, Zhankai Ye, Dawei Xiang, Ting Hua, Xin Liu, Shangqian Gao, Tingting Yu
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NaturalSloth: Revisiting Denial-of-Service Attacks on Large Language Models
LLM serving is limited by provider-side resources: longer generations consume more GPU time, increase latency, and reduce throughput in …
Yiming Chen, Zexin Li, Xianghu Yue, Robby T. Tan, Haizhou Li
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Mixtraining: A Better Trade-Off Between Compute and Performance
Incorporating self-supervised learning (SSL) before standard supervised learning (SL) has become a widely used strategy to enhance …
Zexin Li*, Jiancheng Zhang*, Yufei Li, Yinglun Zhu, Cong Liu
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PIMbot: Policy and Incentive Manipulation for Multi-Robot Reinforcement Learning in Social Dilemmas
To appear.
Zexin Li, Ziliang Zhang, Hyoseung Kim, Cong Liu
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RED: A Systematic Real-Time Scheduling Approach for Robotic Environmental Dynamics
To appear.
Zexin Li, Tao Ren, Johnathan Liu, Xiaoxi He, Cong Liu
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LeMix: Unified Scheduling for LLM Training and Inference on Multi-GPU Systems
To appear soon.
Yufei Li, Zexin Li, Yinglun Zhu, Cong Liu
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Collaborative Learning in Agentic Systems: A Collective AI is Greater Than the Sum of Its Parts
Agentic AI has gained significant interest as a research paradigm focused on autonomy, self-directed learning, and long-term …
Saptarshi Nath, Christos Peridis, Eseoghene Benjamin, Xinran Liu, Soheil Kolouri, Peter Kinnell, Zexin Li, Cong Liu, Shirin Dora, Andrea Soltoggio
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FineEdit: Unlock Instruction-Based Text Editing for LLMs
Large Language Models (LLMs) have significantly advanced natural language processing, demonstrating strong capabilities in tasks such …
Yiming Zeng, Wanhao Yu, Zexin Li, Tao Ren, Yu Ma, Jinghan Cao, Xiyan Chen, Tingting Yu
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Recent Advances in Large Langauge Model Benchmarks against Data Contamination: From Static to Dynamic Evaluation
Data contamination has received increasing attention in the era of large language models (LLMs) due to their reliance on vast …
Simin Chen, Yiming Chen, Zexin Li, Yifan Jiang, Zhongwei Wan, Yixin He, Dezhi Ran, Tianle Gu, Haizhou Li, Tao Xie, Baishakhi Ray
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BOXR: Body and head motion Optimization framework for eXtended Reality
The emergence of standalone Extended Reality (XR) systems has enhanced user mobility, accommodating both subtle, frequent head motions …
Ziliang Zhang, Zexin Li, Hyoseung Kim, Cong Liu
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