Deep Research: A Systematic Survey
Fuente:
arXiv
Saved in:
| Main Authors: | Shi, Zhengliang, Chen, Yiqun, Li, Haitao, Sun, Weiwei, Ni, Shiyu, Lyu, Yougang, Fan, Run-Ze, Jin, Bowen, Weng, Yixuan, Zhu, Minjun, Xie, Qiujie, Guo, Xinyu, Yang, Qu, Wu, Jiayi, Zhao, Jujia, Tang, Xiaqiang, Ma, Xinbei, Wang, Cunxiang, Mao, Jiaxin, Ai, Qingyao, Huang, Jen-Tse, Wang, Wenxuan, Zhang, Yue, Yang, Yiming, Tu, Zhaopeng, Ren, Zhaochun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AI Scientists Fail Without Strong Implementation Capability
by: Zhu, Minjun, et al.
Published: (2025)
by: Zhu, Minjun, et al.
Published: (2025)
Social Welfare Function Leaderboard: When LLM Agents Allocate Social Welfare
by: Shi, Zhengliang, et al.
Published: (2025)
by: Shi, Zhengliang, et al.
Published: (2025)
DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively
by: Weng, Yixuan, et al.
Published: (2025)
by: Weng, Yixuan, et al.
Published: (2025)
Personality Alignment of Large Language Models
by: Zhu, Minjun, et al.
Published: (2024)
by: Zhu, Minjun, et al.
Published: (2024)
DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process
by: Zhu, Minjun, et al.
Published: (2025)
by: Zhu, Minjun, et al.
Published: (2025)
Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution
by: Chen, Junjie, et al.
Published: (2025)
by: Chen, Junjie, et al.
Published: (2025)
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering
by: Shi, Zhengliang, et al.
Published: (2024)
by: Shi, Zhengliang, et al.
Published: (2024)
Cognitive Biases in Large Language Models for News Recommendation
by: Lyu, Yougang, et al.
Published: (2024)
by: Lyu, Yougang, et al.
Published: (2024)
AutoFigure: Generating and Refining Publication-Ready Scientific Illustrations
by: Zhu, Minjun, et al.
Published: (2026)
by: Zhu, Minjun, et al.
Published: (2026)
Overview of the NTCIR-18 Automatic Evaluation of LLMs (AEOLLM) Task
by: Chen, Junjie, et al.
Published: (2025)
by: Chen, Junjie, et al.
Published: (2025)
ATACompressor: Adaptive Task-Aware Compression for Efficient Long-Context Processing in LLMs
by: Li, Xuancheng, et al.
Published: (2026)
by: Li, Xuancheng, et al.
Published: (2026)
MulFeRL: Enhancing Reinforcement Learning with Verbal Feedback in a Multi-turn Loop
by: Li, Xuancheng, et al.
Published: (2026)
by: Li, Xuancheng, et al.
Published: (2026)
PRE: A Peer Review Based Large Language Model Evaluator
by: Chu, Zhumin, et al.
Published: (2024)
by: Chu, Zhumin, et al.
Published: (2024)
Beyond Experience Retrieval: Learning to Generate Utility-Optimized Structured Experience for Frozen LLMs
by: Li, Xuancheng, et al.
Published: (2026)
by: Li, Xuancheng, et al.
Published: (2026)
Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning
by: Zhao, Jujia, et al.
Published: (2026)
by: Zhao, Jujia, et al.
Published: (2026)
How Far Are AI Scientists from Changing the World?
by: Xie, Qiujie, et al.
Published: (2025)
by: Xie, Qiujie, et al.
Published: (2025)
The Hunger Game Debate: On the Emergence of Over-Competition in Multi-Agent Systems
by: Ma, Xinbei, et al.
Published: (2025)
by: Ma, Xinbei, et al.
Published: (2025)
DeepReviewer 2.0: A Traceable Agentic System for Auditable Scientific Peer Review
by: Weng, Yixuan, et al.
Published: (2026)
by: Weng, Yixuan, et al.
Published: (2026)
Human Cognitive Benchmarks Reveal Foundational Visual Gaps in MLLMs
by: Huang, Jen-Tse, et al.
Published: (2025)
by: Huang, Jen-Tse, et al.
Published: (2025)
LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models
by: Li, Haitao, et al.
Published: (2024)
by: Li, Haitao, et al.
Published: (2024)
Foundations of GenIR
by: Ai, Qingyao, et al.
Published: (2025)
by: Ai, Qingyao, et al.
Published: (2025)
OpenReward: Learning to Reward Long-form Agentic Tasks via Reinforcement Learning
by: Hu, Ziyou, et al.
Published: (2025)
by: Hu, Ziyou, et al.
Published: (2025)
Unifying Search and Recommendation with Dual-View Representation Learning in a Generative Paradigm
by: Zhao, Jujia, et al.
Published: (2025)
by: Zhao, Jujia, et al.
Published: (2025)
Optimization of High‐Definition Music Streaming VANET Broadcast Protocol for QoS
by: Xinbei Shi
Published: (2025)
by: Xinbei Shi
Published: (2025)
ResearStudio: A Human-Intervenable Framework for Building Controllable Deep-Research Agents
by: Yang, Linyi, et al.
Published: (2025)
by: Yang, Linyi, et al.
Published: (2025)
On the Shortcut Learning in Multilingual Neural Machine Translation
by: Wang, Wenxuan, et al.
Published: (2024)
by: Wang, Wenxuan, et al.
Published: (2024)
Beyond Exposure: Optimizing Ranking Fairness with Non-linear Time-Income Functions
by: Li, Xuancheng, et al.
Published: (2026)
by: Li, Xuancheng, et al.
Published: (2026)
CycleResearcher: Improving Automated Research via Automated Review
by: Weng, Yixuan, et al.
Published: (2024)
by: Weng, Yixuan, et al.
Published: (2024)
Cold-Starts in Generative Recommendation: A Reproducibility Study
by: Zhang, Zhen, et al.
Published: (2026)
by: Zhang, Zhen, et al.
Published: (2026)
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors
by: He, Yongquan, et al.
Published: (2024)
by: He, Yongquan, et al.
Published: (2024)
A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition
by: Wang, Zihan, et al.
Published: (2025)
by: Wang, Zihan, et al.
Published: (2025)
DeepShop: A Benchmark for Deep Research Shopping Agents
by: Lyu, Yougang, et al.
Published: (2025)
by: Lyu, Yougang, et al.
Published: (2025)
Towards an In-Depth Comprehension of Case Relevance for Better Legal Retrieval
by: Li, Haitao, et al.
Published: (2024)
by: Li, Haitao, et al.
Published: (2024)
Evaluation Ethics of LLMs in Legal Domain
by: Zhang, Ruizhe, et al.
Published: (2024)
by: Zhang, Ruizhe, et al.
Published: (2024)
CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges
by: Li, Haitao, et al.
Published: (2024)
by: Li, Haitao, et al.
Published: (2024)
MAIR: A Massive Benchmark for Evaluating Instructed Retrieval
by: Sun, Weiwei, et al.
Published: (2024)
by: Sun, Weiwei, et al.
Published: (2024)
ReportLogic: Evaluating Logical Quality in Deep Research Reports
by: Zhao, Jujia, et al.
Published: (2026)
by: Zhao, Jujia, et al.
Published: (2026)
LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation
by: Li, Haitao, et al.
Published: (2025)
by: Li, Haitao, et al.
Published: (2025)
Abduct, Act, Predict: Scaffolding Causal Inference for Automated Failure Attribution in Multi-Agent Systems
by: West, Alva, et al.
Published: (2025)
by: West, Alva, et al.
Published: (2025)
T-Detect: Tail-Aware Statistical Normalization for Robust Detection of Adversarial Machine-Generated Text
by: West, Alva, et al.
Published: (2025)
by: West, Alva, et al.
Published: (2025)
Similar Items
-
AI Scientists Fail Without Strong Implementation Capability
by: Zhu, Minjun, et al.
Published: (2025) -
Social Welfare Function Leaderboard: When LLM Agents Allocate Social Welfare
by: Shi, Zhengliang, et al.
Published: (2025) -
DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively
by: Weng, Yixuan, et al.
Published: (2025) -
Personality Alignment of Large Language Models
by: Zhu, Minjun, et al.
Published: (2024) -
DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process
by: Zhu, Minjun, et al.
Published: (2025)