1 citations · 1 across the 13 of their papers we have counts for
Showing 2026 · cs.CLShow all
3 papers · 2 filters
cs.CL2026
Prompt2Skill: Unsupervised Skill Optimization From Natural Language Instructions
Bo Ni, Li Li, Ryan A. Rossi +2
Skills are external artifacts that Large Language Models (LLMs) consume at inference time to improve their performance on specialized domains by incorporating relevant procedural a…
cs.CL2026
A Survey on LLM-based Conversational User Simulation
Bo Ni, Leyao Wang, Yu Wang +27
User simulation has long played a vital role in computer science due to its potential to support a wide range of applications. Language, as the primary medium of human communicatio…
cs.CL2026
Reasoning-Based Personalized Generation for Users with Sparse Data
Bo Ni, Branislav Kveton, Samyadeep Basu +14
Large Language Model (LLM) personalization holds great promise for tailoring responses by leveraging personal context and history. However, real-world users usually possess sparse…