2 papers
cs.CL2026
Training-Free Token-Level Steering for LLM Personalized Co-Writing
Wenhao Mao, Chengbin Hou, Weixiao Wang +4
While Large Language Models (LLMs) show great promise for personalization, they often lack specialized domain knowledge. Conventional solutions like fine-tuning struggle with high…
cs.CL2025
Parse Trees Guided LLM Prompt Compression
Wenhao Mao, Chengbin Hou, Tianyu Zhang +3
Offering rich contexts to Large Language Models (LLMs) has shown to boost the performance in various tasks, but the resulting longer prompt would increase the computational cost an…