Cover Image

Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Zehui, Liu, Kuikun, Wang, Qiuchen, Zhang, Wenwei, Liu, Jiangning, Lin, Dahua, Chen, Kai, Zhao, Feng
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MindSearch: Mimicking Human Minds Elicits Deep AI Searcher
by: Chen, Zehui, et al.
Published: (2024)

T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step
by: Chen, Zehui, et al.
Published: (2023)

AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data
by: Song, Zifan, et al.
Published: (2024)

The Imitation Game: Turing Machine Imitator is Length Generalizable Reasoner
by: Hua, Zhouqi, et al.
Published: (2025)

Achieving Olympia-Level Geometry Large Language Model Agent via Complexity Boosting Reinforcement Learning
by: Zhao, Haiteng, et al.
Published: (2025)

ANAH: Analytical Annotation of Hallucinations in Large Language Models
by: Ji, Ziwei, et al.
Published: (2024)

ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models
by: Gu, Yuzhe, et al.
Published: (2024)

CriticEval: Evaluating Large Language Model as Critic
by: Lan, Tian, et al.
Published: (2024)

CIBench: Evaluating Your LLMs with a Code Interpreter Plugin
by: Zhang, Chuyu, et al.
Published: (2024)

ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents
by: Wang, Qiuchen, et al.
Published: (2025)

Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning
by: Lyu, Chengqi, et al.
Published: (2025)

RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy
by: Zhao, Zhonghan, et al.
Published: (2025)

Scaling Behavior for Large Language Models regarding Numeral Systems: An Example using Pythia
by: Zhou, Zhejian, et al.
Published: (2024)

Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs
by: Gu, Yuzhe, et al.
Published: (2025)

Long-horizon Reasoning Agent for Olympiad-Level Mathematical Problem Solving
by: Gao, Songyang, et al.
Published: (2025)

InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning
by: Ying, Huaiyuan, et al.
Published: (2024)

Are Your LLMs Capable of Stable Reasoning?
by: Liu, Junnan, et al.
Published: (2024)

Training Language Models to Critique With Multi-agent Feedback
by: Lan, Tian, et al.
Published: (2024)

InternLM-Law: An Open Source Chinese Legal Large Language Model
by: Fei, Zhiwei, et al.
Published: (2024)

Agentic Jigsaw Interaction Learning for Enhancing Visual Perception and Reasoning in Vision-Language Models
by: Zeng, Yu, et al.
Published: (2025)

Breaking Block Boundaries: Anchor-based History-stable Decoding for Diffusion Large Language Models
by: Zou, Shun, et al.
Published: (2026)

Audio-FLAN: A Preliminary Release
by: Xue, Liumeng, et al.
Published: (2025)

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

AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning
by: Zhang, Jianguo, et al.
Published: (2024)

From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models
by: Liu, Na, et al.
Published: (2024)

Unveiling the Misuse Potential of Base Large Language Models via In-Context Learning
by: Wang, Xiao, et al.
Published: (2024)

TLoRA+: A Low-Rank Parameter-Efficient Fine-Tuning Method for Large Language Models
by: Cao, Yarui, et al.
Published: (2026)

Large Language Model-based Human-Agent Collaboration for Complex Task Solving
by: Feng, Xueyang, et al.
Published: (2024)

Large Language Model Agents Are Not Always Faithful Self-Evolvers
by: Zhao, Weixiang, et al.
Published: (2026)

Polymer-Agent: Large Language Model Agent for Polymer Design
by: Nigam, Vani, et al.
Published: (2026)

Teaching Large Language Models an Unseen Language on the Fly
by: Zhang, Chen, et al.
Published: (2024)

PACE: A Pragmatic Agent for Enhancing Communication Efficiency Using Large Language Models
by: Li, Jiaxuan, et al.
Published: (2024)

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching
by: Yue, Liang, et al.
Published: (2025)

InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model
by: Zang, Yuhang, et al.
Published: (2025)

The Shadow Self: Intrinsic Value Misalignment in Large Language Model Agents
by: Chen, Chen, et al.
Published: (2026)

CBP-Tuning: Efficient Local Customization for Black-box Large Language Models
by: Zhao, Jiaxuan, et al.
Published: (2025)

OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting
by: Liu, Xukai, et al.
Published: (2024)

Improving Data and Reward Design for Scientific Reasoning in Large Language Models
by: Chen, Zijie, et al.
Published: (2026)

Agent-SiMT: Agent-assisted Simultaneous Machine Translation with Large Language Models
by: Guo, Shoutao, et al.
Published: (2024)

Semi-off-Policy Reinforcement Learning for Vision-Language Slow-Thinking Reasoning
by: Shen, Junhao, et al.
Published: (2025)