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20242026
most citedA Survey of Vibe Coding with Large Language Models

4 citations · 5 across the 15 of their papers we have counts for

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cs.AI20254 cited

A Survey of Vibe Coding with Large Language Models

Yuyao Ge, Lingrui Mei, Zenghao Duan +12

The advancement of large language models (LLMs) has catalyzed a paradigm shift from code generation assistance to autonomous coding agents, enabling a novel development methodology…

cs.AI2025

RefineShot: Rethinking Cinematography Understanding with Foundational Skill Evaluation

Hang Wu, Yujun Cai, Haonan Ge +3

Cinematography understanding refers to the ability to recognize not only the visual content of a scene but also the cinematic techniques that shape narrative meaning. This capabili…

cs.AI2025

DiMo-GUI: Advancing Test-time Scaling in GUI Grounding via Modality-Aware Visual Reasoning

Hang Wu, Hongkai Chen, Yujun Cai +4

Grounding natural language queries in graphical user interfaces (GUIs) poses unique challenges due to the diversity of visual elements, spatial clutter, and the ambiguity of langua…

cs.AI2025

BRIGHT+: Upgrading the BRIGHT Benchmark with MARCUS, a Multi-Agent RAG Clean-Up Suite

Liyang Chen, Yujun Cai, Jieqiong Dong +1

Retrieval-Augmented Generation (RAG) systems require corpora that are both structurally clean and semantically coherent. BRIGHT is a recent and influential benchmark designed to ev…

cs.AI2025

Process or Result? Manipulated Ending Tokens Can Mislead Reasoning LLMs to Ignore the Correct Reasoning Steps

Yu Cui, Bryan Hooi, Yujun Cai +1

Recent reasoning large language models (LLMs) have demonstrated remarkable improvements in mathematical reasoning capabilities through long Chain-of-Thought. The reasoning tokens o…