2 papers
cs.AI2026
R-C2: Cycle-Consistent Reinforcement Learning Improves Multimodal Reasoning
Zirui Zhang, Haoyu Dong, Kexin Pei +1
Robust perception and reasoning require consistency across sensory modalities. Yet current multimodal models often violate this principle, yielding contradictory predictions for vi…
cs.AI2025
Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search
Shuocheng Li, Yihao Liu, Silin Du +7
Large language models (LLMs) have shown great promise in automating data science workflows, but existing models still struggle with multi-step reasoning and tool use, which limits…