3 papers
cs.CL2026
PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Models
Jiyuan An, Jiachen Zhao, Fan Chen +6
The construction of CAD models has traditionally relied on labor-intensive manual operations and specialized expertise. Recent advances in large language models (LLMs) have inspire…
cs.CL2026
From Human Cognition to Neural Activations: Probing the Computational Primitives of Spatial Reasoning in LLMs
Jiyuan An, Liner Yang, Mengyan Wang +3
As spatial intelligence becomes an increasingly important capability for foundation models, it remains unclear whether large language models' (LLMs) performance on spatial reasonin…
cs.CL2026
OMGEval: An Open Multilingual Generative Evaluation Benchmark for Large Language Models
Yang Liu, Meng Xu, Shuo Wang +7
Modern large language models (LLMs) should generally benefit individuals from various cultural backgrounds around the world. However, most recent advanced generative evaluation ben…