Copertina

AgentCPM-Report: Interleaving Drafting and Deepening for Open-Ended Deep Research

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Yishan, Chen, Wentong, Yan, Yukun, Li, Mingwei, Mei, Sen, Wang, Xiaorong, Liu, Kunpeng, Cong, Xin, Wang, Shuo, Zhang, Zhong, Lu, Yaxi, Liu, Zhenghao, Lin, Yankai, Liu, Zhiyuan, Sun, Maosong
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Artificial Intelligence Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

AgentCPM-Explore: Realizing Long-Horizon Deep Exploration for Edge-Scale Agents
di: Chen, Haotian, et al.
Pubblicazione: (2026)

AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning
di: Zhang, Zhong, et al.
Pubblicazione: (2025)

KG-Infused RAG: Augmenting Corpus-Based RAG with External Knowledge Graphs
di: Wu, Dingjun, et al.
Pubblicazione: (2025)

Learning to Generate Structured Output with Schema Reinforcement Learning
di: Lu, Yaxi, et al.
Pubblicazione: (2025)

Representation Learning for Natural Language Processing
di: Liu, Zhiyuan, et al.
Pubblicazione: (2020)

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

Structured Knowledge Representation through Contextual Pages for Retrieval-Augmented Generation
di: Li, Xinze, et al.
Pubblicazione: (2026)

Enhancing Open-Domain Task-Solving Capability of LLMs via Autonomous Tool Integration from GitHub
di: Lyu, Bohan, et al.
Pubblicazione: (2023)

Learning Refined Document Representations for Dense Retrieval via Deliberate Thinking
di: Ji, Yifan, et al.
Pubblicazione: (2025)

RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
di: Li, Xinze, et al.
Pubblicazione: (2024)

Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation
di: Peng, Chunyi, et al.
Pubblicazione: (2025)

RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework
di: Zhu, Kunlun, et al.
Pubblicazione: (2024)

UltraRAG: A Modular and Automated Toolkit for Adaptive Retrieval-Augmented Generation
di: Chen, Yuxuan, et al.
Pubblicazione: (2025)

UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset
di: Wang, Haoyu, et al.
Pubblicazione: (2024)

MiniCPM4: Ultra-Efficient LLMs on End Devices
di: MiniCPM Team, et al.
Pubblicazione: (2025)

KBAlign: Efficient Self Adaptation on Specific Knowledge Bases
di: Zeng, Zheni, et al.
Pubblicazione: (2024)

KARE-RAG: Knowledge-Aware Refinement and Enhancement for RAG
di: Li, Yongjian, et al.
Pubblicazione: (2025)

MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context Modeling
di: MiniCPM Team, et al.
Pubblicazione: (2026)

Empirical Analysis of Decoding Biases in Masked Diffusion Models
di: Huang, Pengcheng, et al.
Pubblicazione: (2025)

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

Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models
di: Liu, Shuliang, et al.
Pubblicazione: (2025)

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

ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation
di: Chen, Hao, et al.
Pubblicazione: (2025)

MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization
di: Yang, Zhiyu, et al.
Pubblicazione: (2024)

Monocle: Hybrid Local-Global In-Context Evaluation for Long-Text Generation with Uncertainty-Based Active Learning
di: Wang, Xiaorong, et al.
Pubblicazione: (2025)

Synergizing Understanding and Generation with Interleaved Analyzing-Drafting Thinking
di: Wu, Shengqiong, et al.
Pubblicazione: (2026)

PersLLM: A Personified Training Approach for Large Language Models
di: Zeng, Zheni, et al.
Pubblicazione: (2024)

VisRAG 2.0: Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation
di: Sun, Yubo, et al.
Pubblicazione: (2025)

A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings
di: Xu, Xiaoang, et al.
Pubblicazione: (2025)

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents
di: Yu, Shi, et al.
Pubblicazione: (2024)

MetaMem: Evolving Meta-Memory for Knowledge Utilization through Self-Reflective Symbolic Optimization
di: Xin, Haidong, et al.
Pubblicazione: (2026)

Long-Chain Reasoning Distillation via Adaptive Prefix Alignment
di: Liu, Zhenghao, et al.
Pubblicazione: (2026)

DeepNote: Note-Centric Deep Retrieval-Augmented Generation
di: Wang, Ruobing, et al.
Pubblicazione: (2024)

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

AutoEvoEval: An Automated Framework for Evolving Close-Ended LLM Evaluation Data
di: Wu, JiaRu, et al.
Pubblicazione: (2025)

Rational Decision-Making Agent with Internalized Utility Judgment
di: Ye, Yining, et al.
Pubblicazione: (2023)

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

OMGEval: An Open Multilingual Generative Evaluation Benchmark for Large Language Models
di: Liu, Yang, et al.
Pubblicazione: (2024)

Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs
di: Gao, Cheng, et al.
Pubblicazione: (2024)

Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-Reflection
di: Wu, Zhuoyang, et al.
Pubblicazione: (2025)