Author

Qi Liu

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#artificial intelligence Preprint Sep 2026

State-Grounded Conditioning: Wrapping User-Facing LLM Agents Where Direction Depends on Live State

We introduce State-Grounded Conditioning (SGC), a design principle for user-facing LLM agents that must condition on live user state (game state, session history, live inventory), and a distinct failure class we call direction drift: task-complete responses whose chosen direction misaligns with the current state. SGC e...

Qi Liu, Xiao-Yang Yuan, Yu-Bin Ruan et al. · 0 citations

#artificial intelligence Preprint Sep 2026

CodeMidas: Scaling Agentic Coding RL Environments from Code Itself

Training capable coding agents via reinforcement learning (RL) requires diverse tasks with reliable verifiers. Open-source codebases offer a rich source of such tasks, while existing methods typically rely on development artifacts such as issues and commits, limiting the range of tasks that can be extracted. To better...

Bo-Wen Ye, Lei Li, Shi-Cheng Li et al. · 0 citations

#natural language process... Preprint Aug 2026

PersonaForge: Realistic Multi-Turn User Simulation for Agentic Systems

This work introduces PersonaForge, a user simulation framework for synthesizing realistic multi-turn user--agent interactions that combines a four-dimensional persona space, SOUL-driven behavioral control calibrated to real-user statistics, and Reverse Deep Construction grounded in authentic seed queries.

Hanglong Lv, Dawei Zhu, Lei Li et al. · 0 citations