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cs.LG2026
Learn Now, Use Next, Trust Later: Prequential Test-Time Learning for LLM Agents
Tong Zhao, Reed Li, Yuyang Hu +5
Adapting large language model agents during deployment requires not only retaining past experience, but also turning new observations into timely guidance. Many test-time learning…
cs.LG2025
FastMTP: Accelerating LLM Inference with Enhanced Multi-Token Prediction
Yuxuan Cai, Xiaozhuan Liang, Xinghua Wang +7
As large language models (LLMs) become increasingly powerful, the sequential nature of autoregressive generation creates a fundamental throughput bottleneck that limits the practic…