Random Token Fusion for Multi-View Medical Diagnosisby Jingyu Guo, Christos Matsoukas, Fredrik Strand, Kevin SmithFirst…
EPIC: Efficient Position-Independent Context Caching for Serving Large Language Modelsby Junhao Hu, Wenrui Huang, Haoyi…
Faster-GCG: Efficient Discrete Optimization Jailbreak Attacks against Aligned Large Language Modelsby Xiao Li, Zhuhong Li,…
Decomposing The Dark Matter of Sparse Autoencodersby Joshua Engels, Logan Riggs, Max TegmarkFirst submitted to…
Rethinking Token Reduction for State Space Modelsby Zheng Zhan, Yushu Wu, Zhenglun Kong, Changdi Yang,…
Is Less More? Exploring Token Condensation as Training-free Test-time Adaptationby Zixin Wang, Dong Gong, Sen…
Optimizing Attention with Mirror Descent: Generalized Max-Margin Token Selectionby Addison Kristanto Julistiono, Davoud Ataee Tarzanagh,…
Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokensby Zhepeng Cen, Yao Liu, Siliang…
A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learningby Shengjie Sun,…
Revisiting SLO and Goodput Metrics in LLM Servingby Zhibin Wang, Shipeng Li, Yuhang Zhou, Xue…