activity
20242026
most citedInternAgent: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification

1 citations · 1 across the 12 of their papers we have counts for

collaborators

12 papers

cs.AI2026

AgentPanel: Toward a New Paradigm for Human--AI Collaboration in Exploring Scientific Questions

Zhiyao Cui, Qianyi Wang, Haoyang Yan +26

Identifying promising scientific ideas remains an important challenge in research practice. Researchers commonly rely on small-group discussions or one-to-one interactions with a s…

cs.MA2026

SeekBrain: An Autonomous Multi-Agent System for Accelerating Neuroscience Discovery

Jiamin Wu, Peishan Xiang, Jingyang Chen +26

Modern neuroscience relies on integrating multi-scale, multimodal datasets to uncover the neural principles underlying intelligence. However, analytical challenges posed by highly…

cs.CL2026

Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent

Lei Bai, Zongsheng Cao, Yang Chen +50

We introduce Agents-A1, a 35B Mixture-of-Experts Agentic Model that reaches trillion-parameter-level performance by scaling the agent horizon. We investigate agent-horizon scaling…

q-bio.QM2026

Structure-guided taxonomic placement of divergent RNA viruses with ViraClass

Sheng Xu, Wenxuan Huang, Shutong Yue +8

Metatranscriptomic sequencing has expanded our knowledge of the RNA virosphere far more rapidly than novel viruses can be taxonomically classified. Taxonomic assignment above the f…

cs.AI2026

Sci-CoE: Co-evolving Scientific Reasoning LLMs via Geometric Consensus with Sparse Supervision

Xiaohan He, Shiyang Feng, Songtao Huang +4

Large language models (LLMs) have demonstrated exceptional reasoning capabilities, and co-evolving paradigms have shown promising results in domains with verifiable reward signals,…

cs.AI2026

InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery

Shiyang Feng, Runmin Ma, Xiangchao Yan +53

We introduce InternAgent-1.5, a unified system designed for end-to-end scientific discovery across computational and empirical domains. The system is built on a structured architec…

cs.AI2025

SCP: Accelerating Discovery with a Global Web of Autonomous Scientific Agents

Yankai Jiang, Wenjie Lou, Lilong Wang +17

We introduce SCP: the Science Context Protocol, an open-source standard designed to accelerate discovery by enabling a global network of autonomous scientific agents. SCP is built…

cs.CV2025

ViLaCD-R1: A Vision-Language Framework for Semantic Change Detection in Remote Sensing

Xingwei Ma, Shiyang Feng, Bo Zhang +1

Remote sensing change detection (RSCD), a complex multi-image inference task, traditionally uses pixel-based operators or encoder-decoder networks that inadequately capture high-le…

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…

cs.AI2025

TrustGeoGen: Formal-Verified Data Engine for Trustworthy Multi-modal Geometric Problem Solving

Daocheng Fu, Jianlong Chen, Renqiu Xia +12

Geometric problem solving (GPS) requires precise multimodal understanding and rigorous, step-by-step logical reasoning. However, developing capable Multimodal Large Language Models…

cs.CL2025

SurveyForge: On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey Writing

Xiangchao Yan, Shiyang Feng, Jiakang Yuan +4

Survey paper plays a crucial role in scientific research, especially given the rapid growth of research publications. Recently, researchers have begun using LLMs to automate survey…

cs.CV2024

DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models

Renqiu Xia, Song Mao, Xiangchao Yan +19

Scientific documents record research findings and valuable human knowledge, comprising a vast corpus of high-quality data. Leveraging multi-modality data extracted from these docum…