2 papers
cs.CL2024
Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models
Haoyan Yang, Yixuan Wang, Keyue Tong +2
This paper proposes a detailed prompting flow, termed Table-Logic, to investigate the performance contrasts between bigger and smaller language models (LMs) utilizing step-by-step…
cs.RO2024
RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing
Bo Ai, Stephen Tian, Haochen Shi +4
Tactile feedback is critical for understanding the dynamics of both rigid and deformable objects in many manipulation tasks, such as non-prehensile manipulation and dense packing.…