The Year in AI Papers
The year/Topics/Search and deep research

Research collection

Search and deep research

Information-seeking agents: deep research systems, open-web search agents, retrieval-augmented agents, and their training data and benchmarks.

Papers
59
Research labs
1
Official code
45

51–59 of 59 papers in this collection

51

arXiv.org

Fathom-DeepResearch: Unlocking Long Horizon Information Retrieval and Synthesis for SLMs

Fathom-DeepResearch is an agentic system for long-horizon information retrieval and synthesis, composed of two 4B-parameter models built on Qwen3-4B. Fathom-Search-4B handles evidence-based investigation via live web search and targeted page querying, trained with DUETQA (a ~5K-sample dataset generated via multi-agent self-play ensuring strict web-search…

Shreyas Singh, Kunal Singh, Pradeep Moturi
Published
Sep 2025
Citations
4
Code
63 stars
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52

arXiv.org

ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization

ReSum is a plug-and-play paradigm that enables LLM-based web agents to perform unbounded exploration by periodically invoking an external summarization tool to condense interaction histories into compact summaries, addressing the conflict between extensive exploration and limited context windows. The authors developed ReSumTool-30B, a specialized summary…

Xixi Wu, Kuan Li, Yida Zhao, Liwen Zhang, et al.
Published
Sep 2025
Citations
95
Code
Not linked
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53

arXiv.org

WebWeaver: Structuring Web-Scale Evidence with Dynamic Outlines for Open-Ended Deep Research

WebWeaver is a dual-agent framework for open-ended deep research (OEDR), addressing limitations of static pipelines and monolithic generation. It comprises a planner that iteratively interleaves evidence acquisition with outline optimization, producing a citation-grounded outline linked to a memory bank, and a writer that performs hierarchical,…

Zijian Li, Xin Guan, Bo Zhang, Shen Huang, et al.
Published
Sep 2025
Citations
39
Code
Not linked
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54

arXiv.org

WebResearcher: Unleashing unbounded reasoning capability in Long-Horizon Agents

WebResearcher is a framework for deep-research agents that addresses the limitations of mono-contextual approaches, which suffer from context suffocation and noise contamination. It introduces IterResearch, an iterative paradigm that reformulates deep research as a Markov Decision Process, where agents periodically consolidate findings into evolving…

Zile Qiao, Guoxin Chen, Xuanzhong Chen, Donglei Yu, et al.
Published
Sep 2025
Citations
66
Code
Not linked
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55

arXiv.org

Open Data Synthesis For Deep Research

This technical report introduces InfoSeek, a scalable framework for synthesizing Deep Research tasks, formalized as Hierarchical Constraint Satisfaction Problems (HCSPs). Unlike simpler multi-hop or flat CSP problems, HCSPs require traversing a hierarchy of interdependent constraints. InfoSeek uses a dual-agent system (Planner and Browser) to recursively…

Ziyi Xia, Kun Luo, Hongjin Qian, Zheng Liu
Published
Aug 2025
Citations
14
Code
216 stars
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56

arXiv.org

FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction

FutureX is a live benchmark for evaluating LLM agents on future prediction tasks, built to avoid data contamination by using only future events. It collects questions daily from 195 curated websites across 11 domains, runs 25 models (base LLMs, Think&Search models, open-source and closed-source Deep Research agents), and automatically scores predictions…

Zhiyuan Zeng, Jiashuo Liu, Siyuan Chen, Tianci He, et al.
Published
Aug 2025
Citations
39
Code
Not linked
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57

AAAI Conference on Artificial Intelligence

ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning

ComoRAG is a cognitive-inspired, memory-organized RAG framework for stateful long narrative reasoning. It addresses the limitations of traditional RAG methods, which are stateless and single-step, by mimicking the human Prefrontal Cortex's Metacognitive Regulation. The framework uses a dynamic memory workspace and an iterative cognitive loop with five…

Juyuan Wang, Rongchen Zhao, Wei Wei, Yufeng Wang, et al.
Published
Aug 2025
Citations
13
Code
343 stars
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58

Qwen

WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent

WebWatcher is a multimodal deep research agent introduced by Alibaba's Tongyi Lab to address the limitations of text-centric web agents by integrating visual information and complex reasoning. It uses high-quality synthetic multimodal trajectories for cold-start training, multiple tools (web search, image search, webpage visit, code interpreter, OCR), and…

Xinyu Geng, Peng Xia, Zhen Zhang, Xinyu Wang, et al.
Published
Aug 2025
Citations
101
Code
20K stars
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59

Independent research

VeriWeb: Verifiable Long-Chain Web Benchmark for Agentic Information-Seeking

VeriWeb is a new benchmark for evaluating web agents on long-horizon, information-rich tasks. It addresses limitations of prior benchmarks that focus on single-fact retrieval and outcome-only verification. VeriWeb emphasizes long-chain complexity (breadth- and depth-oriented search) and subtask-level verifiability, decomposing tasks into interdependent…

Shunyu Liu, Minghao Liu, Huichi Zhou, Zhenyu Cui, et al.
Published
Aug 2025
Citations
9
Code
88 stars
Read summary Original