3 papers
cs.CL2026
Full-Stack Domain Enhancement for Combustion LLMs: Construction and Optimization
Quanjia Xiao, Weimin Ouyang, Zonglin Yang +4
Large language models (LLMs) in the direction of task adaptation and capability enhancement for professional fields demonstrate significant application potential. Nevertheless, for…
cs.LG2025
Clip Your Sequences Fairly: Enforcing Length Fairness for Sequence-Level RL
Hanyi Mao, Quanjia Xiao, Lei Pang +1
We propose FSPO (Fair Sequence Policy Optimization), a sequence-level reinforcement learning method for LLMs that enforces length-fair clipping on the importance-sampling (IS) weig…
cs.CL2025
In2x at WMT25 Translation Task
Lei Pang, Hanyi Mao, Quanjia Xiao +2
This paper presents the open-system submission by the In2x research team for the WMT25 General Machine Translation Shared Task. Our submission focuses on Japanese-related translati…