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Learning to Reason by Analogy via Retrieval-Augmented Reinforcement Fine-Tuning
This paper proposes a post-training framework called Retrieval-Augmented Reinforcement Fine-Tuning (RA-RFT) to teach language models to reason by analogy.
Zilin Xiao, Qi Ma, Chun-cheng Jason Chen et al.
Mana: Dexterous Manipulation of Articulated Tools
This paper presents Mana, a sim-to-real framework for dexterous articulated tool manipulation.
Zhao-Heng Yin, Guanya Shi, Pieter Abbeel et al.
SpatialClaw: Rethinking Action Interface for Agentic Spatial Reasoning
This paper proposes SpatialClaw, a training-free framework for spatial reasoning that enables open-ended, complex 3D/4D spatial reasoning.
Seokju Cho, Ryo Hachiuma, Abhishek Badki et al.
Automated reproducibility assessments in the social and behavioral sciences using large language models
This paper shows that large language models can automate reproducibility assessments in the social and behavioral sciences.
Tobias Holtdirk, Pietro Marcolongo, Anna Steinberg Schulten et al.