Saved in:
| Main Authors: | Fan, Kevin, Bialo, Jacquelyn A., Li, Hongli |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.08796 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture
by: Chen, Yongchao, et al.
Published: (2025)
by: Chen, Yongchao, et al.
Published: (2025)
ToolRM: Towards Agentic Tool-Use Reward Modeling
by: Li, Renhao, et al.
Published: (2025)
by: Li, Renhao, et al.
Published: (2025)
FamilyTool: A Multi-hop Personalized Tool Use Benchmark
by: Wang, Yuxin, et al.
Published: (2025)
by: Wang, Yuxin, et al.
Published: (2025)
SLM-Based Agentic AI with P-C-G: Optimized for Korean Tool Use
by: Jeon, Changhyun, et al.
Published: (2025)
by: Jeon, Changhyun, et al.
Published: (2025)
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
by: Feng, Jiazhan, et al.
Published: (2025)
by: Feng, Jiazhan, et al.
Published: (2025)
Developing Story: Case Studies of Generative AI's Use in Journalism
by: Brigham, Natalie Grace, et al.
Published: (2024)
by: Brigham, Natalie Grace, et al.
Published: (2024)
Evaluation of AI Ethics Tools in Language Models: A Developers' Perspective Case Study
by: Silva, Jhessica, et al.
Published: (2025)
by: Silva, Jhessica, et al.
Published: (2025)
Benchmarking LLM Tool-Use in the Wild
by: Yu, Peijie, et al.
Published: (2026)
by: Yu, Peijie, et al.
Published: (2026)
Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger
by: Li, Wenjun, et al.
Published: (2025)
by: Li, Wenjun, et al.
Published: (2025)
GTA-2: Benchmarking General Tool Agents from Atomic Tool-Use to Open-Ended Workflows
by: Wang, Jize, et al.
Published: (2026)
by: Wang, Jize, et al.
Published: (2026)
Use of AI Tools: Guidelines to Maintain Academic Integrity in Computing Colleges
by: El-boghdadi, Hatem M., et al.
Published: (2026)
by: El-boghdadi, Hatem M., et al.
Published: (2026)
TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use
by: Ye, Junjie, et al.
Published: (2024)
by: Ye, Junjie, et al.
Published: (2024)
Learning How to Use Tools, Not Just When: Pattern-Aware Tool-Integrated Reasoning
by: Xu, Ningning, et al.
Published: (2025)
by: Xu, Ningning, et al.
Published: (2025)
Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments
by: Ye, Junjie, et al.
Published: (2025)
by: Ye, Junjie, et al.
Published: (2025)
MMedAgent: Learning to Use Medical Tools with Multi-modal Agent
by: Li, Binxu, et al.
Published: (2024)
by: Li, Binxu, et al.
Published: (2024)
CCTU: A Benchmark for Tool Use under Complex Constraints
by: Ye, Junjie, et al.
Published: (2026)
by: Ye, Junjie, et al.
Published: (2026)
MCPVerse: An Expansive, Real-World Benchmark for Agentic Tool Use
by: Lei, Fei, et al.
Published: (2025)
by: Lei, Fei, et al.
Published: (2025)
Meta-Reasoning Improves Tool Use in Large Language Models
by: Alazraki, Lisa, et al.
Published: (2024)
by: Alazraki, Lisa, et al.
Published: (2024)
MemCog: From Memory-as-Tool to Memory-as-Cognition in Conversational Agents
by: Li, Zihan, et al.
Published: (2026)
by: Li, Zihan, et al.
Published: (2026)
VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use
by: Jiang, Dongfu, et al.
Published: (2025)
by: Jiang, Dongfu, et al.
Published: (2025)
Can External Validation Tools Improve Annotation Quality for LLM-as-a-Judge?
by: Findeis, Arduin, et al.
Published: (2025)
by: Findeis, Arduin, et al.
Published: (2025)
Don't Fine-Tune, Decode: Syntax Error-Free Tool Use via Constrained Decoding
by: Zhang, Kexun, et al.
Published: (2023)
by: Zhang, Kexun, et al.
Published: (2023)
Case-Based Calibration of Adaptive Reasoning and Execution for LLM Tool Use
by: Pang, Renning, et al.
Published: (2026)
by: Pang, Renning, et al.
Published: (2026)
ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities
by: Lu, Jiarui, et al.
Published: (2024)
by: Lu, Jiarui, et al.
Published: (2024)
GAP: Graph-Based Agent Planning with Parallel Tool Use and Reinforcement Learning
by: Wu, Jiaqi, et al.
Published: (2025)
by: Wu, Jiaqi, et al.
Published: (2025)
AskToAct: Enhancing LLMs Tool Use via Self-Correcting Clarification
by: Zhang, Xuan, et al.
Published: (2025)
by: Zhang, Xuan, et al.
Published: (2025)
TInR: Exploring Tool-Internalized Reasoning in Large Language Models
by: Xu, Qiancheng, et al.
Published: (2026)
by: Xu, Qiancheng, et al.
Published: (2026)
PEToolLLM: Towards Personalized Tool Learning in Large Language Models
by: Xu, Qiancheng, et al.
Published: (2025)
by: Xu, Qiancheng, et al.
Published: (2025)
Sanity Checks for Long-Form Hallucination Detection
by: Zollicoffer, Geigh, et al.
Published: (2026)
by: Zollicoffer, Geigh, et al.
Published: (2026)
iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use
by: Zeng, Yirong, et al.
Published: (2025)
by: Zeng, Yirong, et al.
Published: (2025)
FinMCP-Bench: Benchmarking LLM Agents for Real-World Financial Tool Use under the Model Context Protocol
by: Zhu, Jie, et al.
Published: (2026)
by: Zhu, Jie, et al.
Published: (2026)
ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
by: Ye, Junjie, et al.
Published: (2024)
by: Ye, Junjie, et al.
Published: (2024)
SPRI: Aligning Large Language Models with Context-Situated Principles
by: Zhan, Hongli, et al.
Published: (2025)
by: Zhan, Hongli, et al.
Published: (2025)
Process Reward Model with Q-Value Rankings
by: Li, Wendi, et al.
Published: (2024)
by: Li, Wendi, et al.
Published: (2024)
Can AI Validate Science? Benchmarking LLMs for Accurate Scientific Claim $\rightarrow$ Evidence Reasoning
by: Javaji, Shashidhar Reddy, et al.
Published: (2025)
by: Javaji, Shashidhar Reddy, et al.
Published: (2025)
Evaluating Patient Safety Risks in Generative AI: Development and Validation of a FMECA Framework for Generated Clinical Content
by: Bednarczyk, Lydie, et al.
Published: (2026)
by: Bednarczyk, Lydie, et al.
Published: (2026)
Deep Video Discovery: Agentic Search with Tool Use for Long-form Video Understanding
by: Zhang, Xiaoyi, et al.
Published: (2025)
by: Zhang, Xiaoyi, et al.
Published: (2025)
Toward Efficient Agents: Memory, Tool learning, and Planning
by: Yang, Xiaofang, et al.
Published: (2026)
by: Yang, Xiaofang, et al.
Published: (2026)
The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources
by: Longpre, Shayne, et al.
Published: (2024)
by: Longpre, Shayne, et al.
Published: (2024)
Large Language Models Produce Responses Perceived to be Empathic
by: Lee, Yoon Kyung, et al.
Published: (2024)
by: Lee, Yoon Kyung, et al.
Published: (2024)
Similar Items
-
TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture
by: Chen, Yongchao, et al.
Published: (2025) -
ToolRM: Towards Agentic Tool-Use Reward Modeling
by: Li, Renhao, et al.
Published: (2025) -
FamilyTool: A Multi-hop Personalized Tool Use Benchmark
by: Wang, Yuxin, et al.
Published: (2025) -
SLM-Based Agentic AI with P-C-G: Optimized for Korean Tool Use
by: Jeon, Changhyun, et al.
Published: (2025) -
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
by: Feng, Jiazhan, et al.
Published: (2025)