2 papers
cs.CL2026
Experience-Driven Dynamic Exits for LLMs with Reinforcement Learning
Yanyu Zhu, Hoilam Pao, Niu Hu +6
Large Language Models suffer from slow autoregressive inference. While self-speculative decoding accelerates this process, its efficiency is hampered by static configurations like…
cs.CL2023
Investigating Graph Structure Information for Entity Alignment with Dangling Cases
Jin Xu, Yangning Li, Xiangjin Xie +4
Entity alignment (EA) aims to discover the equivalent entities in different knowledge graphs (KGs), which play an important role in knowledge engineering. Recently, EA with danglin…