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cs.CL2026
DEP: A Decentralized Large Language Model Evaluation Protocol
Jianxiang Peng, Junhao Li, Hongxiang Wang +15
With the rapid development of Large Language Models (LLMs), a large number of benchmarks have been proposed. However, most benchmarks lack unified evaluation standard and require t…
cs.CL2026
Make Every Draft Count: Hidden State based Speculative Decoding
Yuetao Chen, Xuliang Wang, Xinzhou Zheng +3
Speculative decoding has emerged as a pivotal technique to accelerate LLM inference by employing a lightweight draft model to generate candidate tokens that are subsequently verifi…