4 papers · 1 filter
AttSVD:Prompt-Adaptive Low-Rank KV Cache Compression via Attention-Guided SVD
Sara Abdali, Jongwoo Ko, Pashmina Cameron
The key-value (KV) cache of autoregressive transformers grows linearly with context length and dominates memory at long context. Most training-free remedies evict low-importance to…
Scaling Reasoning Efficiently via Relaxed On-Policy Distillation
Jongwoo Ko, Sara Abdali, Young Jin Kim +2
On-policy distillation is pivotal for transferring reasoning capabilities to capacity-constrained models, yet remains prone to instability and negative transfer. We show that on-po…
StableQAT: Stable Quantization-Aware Training at Ultra-Low Bitwidths
Tianyi Chen, Sihan Chen, Xiaoyi Qu +5
Quantization-aware training (QAT) is essential for deploying large models under strict memory and latency constraints, yet achieving stable and robust optimization at ultra-low bit…
CUA-Skill: Develop Skills for Computer Using Agent
Tianyi Chen, Yinheng Li, Michael Solodko +12
Computer-Using Agents (CUAs) aim to autonomously operate computer systems to complete real-world tasks. However, existing agentic systems remain difficult to scale and lag behind h…