ArXiv TLDR

Xiaoyang Guo

2 papers · Latest:

Natural Language Processing

Unlocking the Power of Large Language Models for Multi-table Entity Matching

LLM4MEM uses LLMs to improve multi-table entity matching by resolving semantic inconsistencies, boosting efficiency, and pruning noisy entities.

2604.21238
Computer Vision

Scal3R: Scalable Test-Time Training for Large-Scale 3D Reconstruction

Scal3R introduces a scalable test-time training approach for large-scale 3D reconstruction, using a neural global context to improve accuracy and consistency.

2604.08542

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