:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lu, Meng, Lu, Yuxing, Zhuang, Yuchen, Mullins, Megan, Xie, Yang, Xiao, Guanghua, Fleming, Charles, Shi, Wenqi, Wang, Xuan
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2601.07107
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs
by: Lu, Meng, et al.
Published: (2025)

MedAgentGym: A Scalable Agentic Training Environment for Code-Centric Reasoning in Biomedical Data Science
by: Xu, Ran, et al.
Published: (2025)

Scaling Medical Reasoning Verification via Tool-Integrated Reinforcement Learning
by: Zhang, Hang, et al.
Published: (2026)

Incentivizing Tool-augmented Thinking with Images for Medical Image Analysis
by: Jiang, Yankai, et al.
Published: (2025)

Aquila: A Hierarchically Aligned Visual-Language Model for Enhanced Remote Sensing Image Comprehension
by: Lu, Kaixuan, et al.
Published: (2024)

Reinforcement Learning for Tool-Integrated Interleaved Thinking towards Cross-Domain Generalization
by: Chen, Zhengyu, et al.
Published: (2025)

ClinEnv: An Interactive Multi-Stage Long Horizon EHR Environment for Agents
by: Lu, Yuxing, et al.
Published: (2026)

UI-Copilot: Advancing Long-Horizon GUI Automation via Tool-Integrated Policy Optimization
by: Lu, Zhengxi, et al.
Published: (2026)

WorkForceAgent-R1: Incentivizing Reasoning Capability in LLM-based Web Agents via Reinforcement Learning
by: Zhuang, Yuchen, et al.
Published: (2025)

SACB-Net: Spatial-awareness Convolutions for Medical Image Registration
by: Cheng, Xinxing, et al.
Published: (2025)

Dynamic Perturbation-Adaptive Adversarial Training on Medical Image Classification
by: Li, Shuai, et al.
Published: (2024)

Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning
by: Cheng, Qianjia, et al.
Published: (2026)

SpatialLadder: Progressive Training for Spatial Reasoning in Vision-Language Models
by: Li, Hongxing, et al.
Published: (2025)

AskToAct: Enhancing LLMs Tool Use via Self-Correcting Clarification
by: Zhang, Xuan, et al.
Published: (2025)

RADA: Region-Aware Dual-encoder Auxiliary learning for Barely-supervised Medical Image Segmentation
by: Zeng, Shuang, et al.
Published: (2026)

Thinking on Maps: How Foundation Model Agents Explore, Remember, and Reason Map Environments
by: Wei, Zhiwei, et al.
Published: (2025)

MONA: Muon Optimizer with Nesterov Acceleration for Scalable Language Model Training
by: Li, Jiacheng, et al.
Published: (2026)

OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning
by: Su, Zhaochen, et al.
Published: (2025)

Code-A1: Adversarial Evolving of Code LLM and Test LLM via Reinforcement Learning
by: Wang, Aozhe, et al.
Published: (2026)

Cooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models
by: Hong, Haitao, et al.
Published: (2025)

MedVKAN: Efficient Feature Extraction with Mamba and KAN for Medical Image Segmentation
by: Zhu, Hancan, et al.
Published: (2025)

MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning
by: Shi, Wenqi, et al.
Published: (2024)

Ask1: Development and Reinforcement Learning-Based Control of a Custom Quadruped Robot
by: Zhang, Yang, et al.
Published: (2024)

ThinkRL-Edit: Thinking in Reinforcement Learning for Reasoning-Centric Image Editing
by: Li, Hengjia, et al.
Published: (2026)

Training the Knowledge Base through Evidence Distillation and Write-Back Enrichment
by: Lu, Yuxing, et al.
Published: (2026)

DORA: A Scalable Asynchronous Reinforcement Learning System for Language Model Training
by: Hu, Tianhao, et al.
Published: (2026)

Tools are under-documented: Simple Document Expansion Boosts Tool Retrieval
by: Lu, Xuan, et al.
Published: (2025)

Network Traffic as a Scalable Ethnographic Lens for Understanding University Students' AI Tool Practices
by: Hu, Donghan, et al.
Published: (2025)

RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing
by: Hu, Yucheng, et al.
Published: (2024)

Integrated Forecasting of Marine Renewable Power: An Adaptively Bayesian-Optimized MVMD-LSTM Framework for Wind-Solar-Wave Energy
by: Xie, Baoyi, et al.
Published: (2025)

InfiniteWeb: Scalable Web Environment Synthesis for GUI Agent Training
by: Zhang, Ziyun, et al.
Published: (2026)

Process-Supervised Reinforcement Learning for Interactive Multimodal Tool-Use Agents
by: Tan, Weiting, et al.
Published: (2025)

RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation
by: Xu, Ran, et al.
Published: (2025)

Generalized Scalar Auxiliary Variable Exponential Integrator for A Modified Landau-de Gennes Theory for Smectic Liquid Crystals
by: Hu, Wenshuai, et al.
Published: (2026)

Relaxed Generalized Scalar Auxiliary Variable Exponential Integrator for A Modified Landau-de Gennes Theory for Smectic Liquid Crystals
by: Hu, Wenshuai, et al.
Published: (2026)

Reinforcing Video Reasoning Segmentation to Think Before It Segments
by: Gong, Sitong, et al.
Published: (2025)

KINDLE: Knowledge-Guided Distillation for Prior-Free Gene Regulatory Network Inference
by: Peng, Rui, et al.
Published: (2025)

Epi‐Immunotherapy in Cancer Treatment: Mechanisms, Clinical Progress, and Future Directions
by: Nannan Lu, et al.
Published: (2025)

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
by: Xu, Ran, et al.
Published: (2023)

Image Inpainting Models are Effective Tools for Instruction-guided Image Editing
by: Ju, Xuan, et al.
Published: (2024)