2 papers
cs.AI2026
Trade-R1: Bridging Verifiable Rewards to Stochastic Environments via Process-Level Reasoning Verification
Rui Sun, Yifan Sun, Sheng Xu +5
Reinforcement Learning (RL) has enabled Large Language Models (LLMs) to achieve remarkable reasoning in domains like mathematics and coding, where verifiable rewards provide clear…
cs.LG2025
LAVa: Layer-wise KV Cache Eviction with Dynamic Budget Allocation
Yiqun Shen, Song Yuan, Zhengze Zhang +3
KV Cache is commonly used to accelerate LLM inference with long contexts, yet its high memory demand drives the need for cache compression. Existing compression methods, however, a…