most citedTowards Scientific Intelligence: A Survey of LLM-based Scientific Agents

6 citations · 7 across the 11 of their papers we have counts for

collaborators

11 papers

cs.AI2026

SkillAlign: Aligning Skill Interfaces for LLM-based Agents

Shuo Ren, Xiaomian Kang, Jiajun Zhang

Language-model agents increasingly rely on skills: reusable procedural knowledge for reasoning, tool use, and interaction. Existing work studies how skills are acquired, retrieved,…

cs.IR2026

SciLENS: RL-Driven Autonomous Agents for Scientific Localized Evidence Navigation and Synthesis

Leqi Zheng, Jinbo Su, Yuying Li +10

Scientific literature synthesis agents increasingly rely on proprietary online services, limiting reproducibility, privacy, and offline deployment. To address this challenge, we in…

cs.AI2026

EviGraph: Evidence-Guided Autonomous Research Agents

Zhenjiang Ren, Ruiji Li, Xujing Zhang +3

Autonomous research agents can generate hypotheses, execute experiments, and draft manuscripts, yet their outputs often contain unsupported claims and inconsistencies between resea…

cs.AI2026

Project2Task: Graph-Guided Project-Level Planning for Autonomous Research

Huirui Xu, Runtao Xu, Shuo Ren +1

Research agents can increasingly search literature, propose hypotheses, generate code, run experiments, and draft manuscripts from a single topic. However, a research project is no…

cs.CV2026

World2VLM: Distilling World Model Imagination into VLMs for Dynamic Spatial Reasoning

Wanyue Zhang, Wenxiang Wu, Wang Xu +6

Vision-language models (VLMs) have shown strong performance on static visual understanding, yet they still struggle with dynamic spatial reasoning that requires imagining how scene…

cs.CV2026

VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models

Jianke Zhang, Xiaoyu Chen, Qiuyue Wang +7

Vision-Language-Action (VLA) models, which integrate pretrained large Vision-Language Models (VLM) into their policy backbone, are gaining significant attention for their promising…

cs.CV2025

SWITCH: Benchmarking Modeling and Handling of Tangible Interfaces in Long-horizon Embodied Scenarios

Juntao Cheng, Wanyue Zhang, Zhiwei Yu +7

Tangible control interfaces (TCIs), such as appliance panels, remotes, elevators, and embedded GUIs, are a fundamental component of everyday human-built environments. Interacting w…

cs.CV2025

Look Again, Think Slowly: Enhancing Visual Reflection in Vision-Language Models

Pu Jian, Junhong Wu, Wei Sun +3

Recent advances in text-only "slow-thinking" reasoning have prompted efforts to transfer this capability to vision-language models (VLMs), for training visual reasoning models (\te…

cs.CV2025★ 1 cited

Why Do MLLMs Struggle with Spatial Understanding? A Systematic Analysis from Data to Architecture

Wanyue Zhang, Yibin Huang, Yangbin Xu +5

Spatial understanding is essential for Multimodal Large Language Models (MLLMs) to support perception, reasoning, and planning in embodied environments. Despite recent progress, ex…

cs.CV2025

Teaching Vision-Language Models to Ask: Resolving Ambiguity in Visual Questions

Pu Jian, Donglei Yu, Wen Yang +2

In visual question answering (VQA) context, users often pose ambiguous questions to visual language models (VLMs) due to varying expression habits. Existing research addresses such…

cs.AI2025★ 6 cited

Towards Scientific Intelligence: A Survey of LLM-based Scientific Agents

Shuo Ren, Can Xie, Pu Jian +3

As scientific research becomes increasingly complex, innovative tools are needed to manage vast data, facilitate interdisciplinary collaboration, and accelerate discovery. Large la…