作者位次 #2/6ACL 2026Findings· Findings of ACL
S elf B udgeter: Adaptive Token Allocation for Efficient LLM Reasoning
Zheng Li · Qingxiu Dong · Jingyuan Ma · Di Zhang · Kai Jia · Zhifang Sui
摘要
Recently, large reasoning models demonstrate exceptional performance on various tasks. However, reasoning models always consume excessive tokens even for simple queries, leading to resource waste and prolonged user latency. To address this challenge, we propose SelfBudgeter - a self-adaptive reas...