2 papers
cs.AI2025
DART: Difficulty-Adaptive Reasoning Truncation for Efficient Large Language Models
Ruofan Zhang, Bin Xia, Zhen Cheng +4
Adaptive reasoning is essential for aligning the computational effort of large language models (LLMs) with the intrinsic difficulty of problems. Current chain-of-thought methods bo…
cs.LG2023
SSR-TA: Sequence to Sequence based expert recurrent recommendation for ticket automation
Chenhan Cao, Xiaoyu Fang, Bingqing Luo +1
The ticket automation provides crucial support for the normal operation of IT software systems. An essential task of ticket automation is to assign experts to solve upcoming ticket…