Yi Xiao
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The paper introduces LATTICE, a novel benchmark for evaluating how well crypto agents assist user decision-making, finding that different agents excel in different specific areas rather than having a single overall best performance.
SkCC is a compiler that enables portable and secure development of LLM agent skills by decoupling skill semantics from framework-specific formatting, significantly improving reliability and security.
DenoiseRL is a novel reinforcement learning framework that improves reasoning in large language models by optimizing directly from the failures and incorrect reasoning traces of weak models, eliminating the need for strong external supervision or curated datasets.
The paper proposes GASP, a framework that injects fundamental geometric priors directly into Vision-Language Models (VLMs) using ground-truth video geometry, significantly enhancing 3D spatial reasoning without requiring 3D VQA data.
Papers
Beyond 3D VQAs: Injecting 3D Spatial Priors into Vision-Language Models for Enhanced Geometric Reasoning
Chun-Hsiao Yeh, Shengyi Qian, Manchen Wang, Yi Ma +2 more
The paper proposes GASP, a framework that injects fundamental geometric priors directly into Vision-Language Models (VLMs) using ground-truth video geometry, significantly enhancing 3D spatial reasoni…