most citedInternAgent: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification

1 citations · 1 across the 11 of their papers we have counts for

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cs.AI2026

UI-Venus-2 Technical Report

Venus Team, Zhuohan Cai, Haoxing Chen +28

Multimodal GUI agents have emerged as a promising paradigm for digital task automation, yet transitioning from benchmark-oriented models to dependable real-world applications remai…

cs.AI2026

MAGA: Multi-Platform Self-Fusion of GUI Agents via Structured Action Distillation

Hang Yan, Zhangxuan GU, Beitong Zhou +5

Graphical user interface (GUI) agents based on large language models are increasingly deployed across mobile, web, and desktop environments. However, existing agents are typically…

cs.AI2026

Beyond World-Frame Action Heads: Motion-Centric Action Frames for Vision-Language-Action Models

Huoren Yang, Jianchao Zhao, Hu Yusong +7

Vision-Language-Action (VLA) models have advanced rapidly with stronger backbones, broader pre-training, and larger demonstration datasets, yet their action heads remain largely ho…

cs.AI2025

DualResearch: Entropy-Gated Dual-Graph Retrieval for Answer Reconstruction

Jinxin Shi, Zongsheng Cao, Runmin Ma +6

The deep-research framework orchestrates external tools to perform complex, multi-step scientific reasoning that exceeds the native limits of a single large language model. However…

cs.AI2025

AutoMLGen: Navigating Fine-Grained Optimization for Coding Agents

Shangheng Du, Xiangchao Yan, Dengyang Jiang +6

Large language models (LLMs) have shown impressive performance in general programming tasks. However, in Machine Learning Engineering (MLE) scenarios such as AutoML and Kaggle comp…

cs.AI2025

FlowSearch: Advancing deep research with dynamic structured knowledge flow

Yusong Hu, Runmin Ma, Yue Fan +11

Deep research is an inherently challenging task that demands both breadth and depth of thinking. It involves navigating diverse knowledge spaces and reasoning over complex, multi-s…

cs.AI2025

Manalyzer: End-to-end Automated Meta-analysis with Multi-agent System

Wanghan Xu, Wenlong Zhang, Fenghua Ling +8

Meta-analysis is a systematic research methodology that synthesizes data from multiple existing studies to derive comprehensive conclusions. This approach not only mitigates limita…

cs.AI2025★ 1 cited

InternAgent: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification

InternAgent Team, Bo Zhang, Shiyang Feng +23

Artificial Intelligence (AI) is accelerating the transformation of scientific research paradigms, not only enhancing research efficiency but also driving innovation. We introduce I…