:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Guoxin, Zhang, Zhong, Cong, Xin, Guo, Fangda, Wu, Yesai, Lin, Yankai, Feng, Wenzheng, Wang, Yasheng
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2410.06617
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models
by: Fan, Shengda, et al.
Published: (2024)

DebugBench: Evaluating Debugging Capability of Large Language Models
by: Tian, Runchu, et al.
Published: (2024)

Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance
by: Lu, Yaxi, et al.
Published: (2024)

Investigate-Consolidate-Exploit: A General Strategy for Inter-Task Agent Self-Evolution
by: Qian, Cheng, et al.
Published: (2024)

Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger
by: Li, Wenjun, et al.
Published: (2025)

Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs
by: Tian, Runchu, et al.
Published: (2024)

Improving Language Model Reasoning with Self-motivated Learning
by: Feng, Yunlong, et al.
Published: (2024)

LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
by: Wang, Jingyuan, et al.
Published: (2025)

ToLeaP: Rethinking Development of Tool Learning with Large Language Models
by: Chen, Haotian, et al.
Published: (2025)

A Survey on Large Language Model based Autonomous Agents
by: Wang, Lei, et al.
Published: (2023)

RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation
by: Luo, Qinyu, et al.
Published: (2024)

DeepCritic: Deliberate Critique with Large Language Models
by: Yang, Wenkai, et al.
Published: (2025)

Evolving Subnetwork Training for Large Language Models
by: Li, Hanqi, et al.
Published: (2024)

ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool Learning
by: Zeng, Xingshan, et al.
Published: (2025)

ToolSpectrum : Towards Personalized Tool Utilization for Large Language Models
by: Cheng, Zihao, et al.
Published: (2025)

AgentGym: Evolving Large Language Model-based Agents across Diverse Environments
by: Xi, Zhiheng, et al.
Published: (2024)

YODA: Teacher-Student Progressive Learning for Language Models
by: Lu, Jianqiao, et al.
Published: (2024)

Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees
by: Chen, Sijia, et al.
Published: (2024)

ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution
by: Huang, Xu, et al.
Published: (2025)

Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents
by: Qian, Cheng, et al.
Published: (2024)

Test-Time Deep Thinking to Explore Implicit Rules
by: Chen, Wentong, et al.
Published: (2026)

HCR-Reasoner: Synergizing Large Language Models and Theory for Human-like Causal Reasoning
by: Zhang, Yanxi, et al.
Published: (2025)

PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models
by: Tan, Haochen, et al.
Published: (2024)

MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Medical Knowledge Graph
by: Zhang, Duzhen, et al.
Published: (2025)

Automatic Instruction Evolving for Large Language Models
by: Zeng, Weihao, et al.
Published: (2024)

EssayBench: Evaluating Large Language Models in Multi-Genre Chinese Essay Writing
by: Gao, Fan, et al.
Published: (2025)

ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models
by: Zhang, Yuxiang, et al.
Published: (2024)

AgentRM: Enhancing Agent Generalization with Reward Modeling
by: Xia, Yu, et al.
Published: (2025)

Language Models as Continuous Self-Evolving Data Engineers
by: Wang, Peidong, et al.
Published: (2024)

Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification
by: Liu, Chengwu, et al.
Published: (2025)

DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models
by: Wang, Bowen, et al.
Published: (2024)

Tool Learning with Large Language Models: A Survey
by: Qu, Changle, et al.
Published: (2024)

UniMem: Towards a Unified View of Long-Context Large Language Models
by: Fang, Junjie, et al.
Published: (2024)

ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages
by: Ye, Junjie, et al.
Published: (2024)

Large Language Model Enhanced Knowledge Representation Learning: A Survey
by: Wang, Xin, et al.
Published: (2024)

Self-Evolving Critique Abilities in Large Language Models
by: Tang, Zhengyang, et al.
Published: (2025)

ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
by: Feng, Jiazhan, et al.
Published: (2025)

Personalized Large Language Model Assistant with Evolving Conditional Memory
by: Yuan, Ruifeng, et al.
Published: (2023)

Large Language Models as Tool Makers
by: Cai, Tianle, et al.
Published: (2023)

ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
by: Ye, Junjie, et al.
Published: (2024)