3 papers
cs.CL2025
Do Language Models Have Bayesian Brains? Distinguishing Stochastic and Deterministic Decision Patterns within Large Language Models
Andrea Yaoyun Cui, Pengfei Yu
Language models are essentially probability distributions over token sequences. Auto-regressive models generate sentences by iteratively computing and sampling from the distributio…
cs.CV2025
LDGen: Enhancing Text-to-Image Synthesis via Large Language Model-Driven Language Representation
Pengzhi Li, Pengfei Yu, Zide Liu +5
In this paper, we introduce LDGen, a novel method for integrating large language models (LLMs) into existing text-to-image diffusion models while minimizing computational demands.…
cs.CL2025
RPGBENCH: Evaluating Large Language Models as Role-Playing Game Engines
Pengfei Yu, Dongming Shen, Silin Meng +8
We present RPGBench, the first benchmark designed to evaluate large language models (LLMs) as text-based role-playing game (RPG) engines. RPGBench comprises two core tasks: Game Cr…