3 papers
cs.CV2026
Are Text-to-Image Models Inductivist Turkeys? A Counterfactual Benchmark for Causal Reasoning
Jiayi Lei, Yuandong Pu, Xingyu Han +8
Text-to-image (T2I) generation models have achieved remarkable progress in producing visually realistic images from natural language prompts. Yet it remains unclear whether their s…
cs.LG2026
DGPO: Distribution Guided Policy Optimization for Fine Grained Credit Assignment
Hongbo Jin, Rongpeng Zhu, Zhongjing Du +4
Reinforcement learning is crucial for aligning large language models to perform complex reasoning tasks. However, current algorithms such as Group Relative Policy Optimization suff…
cs.AI2026
HiMAC: Hierarchical Macro-Micro Learning for Long-Horizon LLM Agents
Hongbo Jin, Rongpeng Zhu, Jiayu Ding +2
Large language model (LLM) agents have recently demonstrated strong capabilities in interactive decision-making, yet they remain fundamentally limited in long-horizon tasks that re…