From the 1 of 71 linked papers with an AI index.
6 citations · 6 across the 24 of their papers we have counts for
5 papers · 1 filter
PowerAtlas: Towards Electricity-Computing Co-Scheduling for Power Systems
Kaiwen Jiang, Siya Xu, Ziyue Zhu +3
PowerAtlas is an LLM‑agent framework that jointly schedules electricity supply and computing workloads in data centers, ensuring grid operational constraints and computing service…
Activation Steering Induces Emergent Misalignment: A More Comprehensive Evaluation
Qi Cao, Jian Lou, Meiting Liu +4
Activation steering has emerged as a popular inference-time technique for modulating the behavior of large language models (LLMs). By constructing a steering vector from examples o…
WINDQuant: Weight-Informed Neural Decision-Making for Global Mixed-Precision LLM Quantization
Phong Nam Huu Nguyen, Khoi M. Le, Cong-Duy T Nguyen +3
Quantization is an effective approach to reduce the memory footprint and inference cost of large language models (LLMs), yet maintaining performance in the ultra-low-bit regime rem…
Understanding and Preventing Entropy Collapse in RLVR with On-Policy Entropy Flow Optimization
Huimin Xu, Shuai Zhao, Xiaobao Wu +1
Reinforcement learning with verifiable rewards (RLVR) has become an effective paradigm for improving the reasoning ability of large language models. However, widely used RLVR algor…
Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs
Zhiyuan Hu, Yucheng Wang, Yufei He +7
Reinforcement learning (RL) has become a central paradigm for post-training large language models (LLMs), particularly for complex reasoning tasks, yet it often suffers from explor…