most citedMarco-o1: Towards Open Reasoning Models for Open-Ended Solutions

5 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2025

HSCodeComp: A Realistic and Expert-level Benchmark for Deep Search Agents in Hierarchical Rule Application

Yiqian Yang, Tian Lan, Qianghuai Jia +6

Effective deep search agents must not only access open-domain and domain-specific knowledge but also apply complex rules-such as legal clauses, medical manuals and tariff rules. Th…

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.CV2025

A Unified Agentic Framework for Evaluating Conditional Image Generation

Jifang Wang, Xue Yang, Longyue Wang +7

Conditional image generation has gained significant attention for its ability to personalize content. However, the field faces challenges in developing task-agnostic, reliable, and…

cs.CL20245 cited

Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions

Yu Zhao, Huifeng Yin, Bo Zeng +6

Currently OpenAI o1 sparks a surge of interest in the study of large reasoning models (LRM). Building on this momentum, Marco-o1 not only focuses on disciplines with standard answe…

cs.CL2024

Building Decision Making Models Through Language Model Regime

Yu Zhang, Haoxiang Liu, Feijun Jiang +2

We propose a novel approach for decision making problems leveraging the generalization capabilities of large language models (LLMs). Traditional methods such as expert systems, pla…

cs.CL20242 cited

Wings: Learning Multimodal LLMs without Text-only Forgetting

Yi-Kai Zhang, Shiyin Lu, Yang Li +7

Multimodal large language models (MLLMs), initiated with a trained LLM, first align images with text and then fine-tune on multimodal mixed inputs. However, the MLLM catastrophical…