3 papers
cs.LG2026
Local Conflict, Targeted Repair: A Perturbation Analysis of Multi-Domain RL
Lei Yang, Siyu Ding, Deyi Xiong
Reinforcement learning (RL) post-training improves large language models on individual domains but can degrade previously acquired capabilities. We study this interference in mathe…
cs.CL2025
N2C2: Nearest Neighbor Enhanced Confidence Calibration for Cross-Lingual In-Context Learning
Jie He, Simon Yu, Deyi Xiong +2
Recent advancements of in-context learning (ICL) show language models can significantly improve their performance when demonstrations are provided. However, little attention has be…
cs.CL2025
Evaluating and Improving Graph to Text Generation with Large Language Models
Jie He, Yijun Yang, Wanqiu Long +3
Large language models (LLMs) have demonstrated immense potential across various tasks. However, research for exploring and improving the capabilities of LLMs in interpreting graph…