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20232026
most citedDiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

39 citations · 81 across the 23 of their papers we have counts for

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Showing 2026Show all

7 papers · 1 filter

cs.LG2026

S3C-LLM: Skill-Code Guided Agentic Language Models for Spectrum-to-Structure Elucidation

Xuanle Zhao, Xinyuan Cai, Xiang Cheng +1

Spectroscopic structure elucidation is central to molecular analysis, but recent Large Language Model (LLM)-based methods mostly formulate it as direct spectrum-to-SMILES generatio…

cs.AI2026

IndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD

Nianchen Deng, Jiaxin Ai, Tao Hu +10

Automating industrial CAD design and manufacturing places distinctive demands on multimodal foundation models: the model must see engineering drawings and 3D geometry screenshots,…

cs.AI2026

ASSEMCAD: Production-Ready CAD Assembly Generation from Natural Language

Yurui Dong, Shu Zou, Siqi Li +7

Recent advances in large language models and programmatic CAD have significantly improved Text-to-CAD generation for individual parts. However, production-ready mechanical assembly…

cs.AI2026

IterCAD: An Iterative Multimodal Agent for Visually-Grounded CAD Generation and Editing

Tao Hu, Jiaxin Ai, Licheng Wen +12

Computer-Aided Design is pivotal in modern manufacturing, yet existing automated methods predominantly rely on open-loop, one-shot generation, creating a mismatch with iterative re…

cs.CL2026

ChemVLR: Prioritizing Reasoning in Perception for Chemical Vision-Language Understanding

Xuanle Zhao, Xinyuan Cai, Xiang Cheng +2

While Vision-Language Models (VLMs) have demonstrated significant potential in chemical visual understanding, current models are predominantly optimized for direct visual question-…

cs.CV2026

MindDriver: Introducing Progressive Multimodal Reasoning for Autonomous Driving

Lingjun Zhang, Yujian Yuan, Changjie Wu +7

Vision-Language Models (VLM) exhibit strong reasoning capabilities, showing promise for end-to-end autonomous driving systems. Chain-of-Thought (CoT), as VLM's widely used reasonin…

cs.CV2026

HSD: Training-Free Acceleration for Document Parsing Vision-Language Models with Hierarchical Speculative Decoding

Wenhui Liao, Hongliang Li, Pengyu Xie +15

Document parsing is a fundamental task in multimodal understanding, supporting a wide range of downstream applications such as information extraction and intelligent document analy…