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20242026
most citedPerception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models

1 citations · 5 across the 13 of their papers we have counts for

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7 papers · 1 filter

cs.CL2026

CulturALL: Benchmarking Multilingual and Multicultural Competence of LLMs on Grounded Tasks

Peiqin Lin, Chenyang Lyu, Wenjiang Luo +22

Large language models (LLMs) are now deployed worldwide, inspiring a surge of benchmarks that measure their multilingual and multicultural abilities. However, these benchmarks prio…

cs.CL2026

Structured Episodic Event Memory

Zhengxuan Lu, Dongfang Li, Yukun Shi +3

Current approaches to memory in Large Language Models (LLMs) predominantly rely on static Retrieval-Augmented Generation (RAG), which often results in scattered retrieval and fails…

cs.CL2025

ComfyUI-R1: Exploring Reasoning Models for Workflow Generation

Zhenran Xu, Yiyu Wang, Xue Yang +5

AI-generated content has evolved from monolithic models to modular workflows, particularly on platforms like ComfyUI, enabling customization in creative pipelines. However, craftin…

cs.CL2025

ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development

Zhenran Xu, Xue Yang, Yiyu Wang +7

We introduce ComfyUI-Copilot, a large language model-powered plugin designed to enhance the usability and efficiency of ComfyUI, an open-source platform for AI-driven art creation.…

cs.CL2025

VerIPO: Cultivating Long Reasoning in Video-LLMs via Verifier-Gudied Iterative Policy Optimization

Yunxin Li, Xinyu Chen, Zitao Li +5

Applying Reinforcement Learning (RL) to Video Large Language Models (Video-LLMs) shows significant promise for complex video reasoning. However, popular Reinforcement Fine-Tuning (…

cs.CL20251 cited

FilmAgent: A Multi-Agent Framework for End-to-End Film Automation in Virtual 3D Spaces

Zhenran Xu, Longyue Wang, Jifang Wang +7

Virtual film production requires intricate decision-making processes, including scriptwriting, virtual cinematography, and precise actor positioning and actions. Motivated by recen…