Cover Image

ExpSeek: Self-Triggered Experience Seeking for Web Agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Wenyuan, Zhang, Xinghua, Yu, Haiyang, Nie, Shuaiyi, Wu, Bingli, Yue, Juwei, Liu, Tingwen, Li, Yongbin
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exploring the System 1 Thinking Capability of Large Reasoning Models
by: Zhang, Wenyuan, et al.
Published: (2025)

Adaptive Social Learning via Mode Policy Optimization for Language Agents
by: Wang, Minzheng, et al.
Published: (2025)

HyperMem: Hypergraph Memory for Long-Term Conversations
by: Yue, Juwei, et al.
Published: (2026)

Adaptive Data Augmentation for Aspect Sentiment Quad Prediction
by: Zhang, Wenyuan, et al.
Published: (2024)

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization
by: Tao, Zhengwei, et al.
Published: (2025)

IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference Optimization
by: Zhang, Xinghua, et al.
Published: (2024)

InfoAgent: Advancing Autonomous Information-Seeking Agents
by: Zhang, Gongrui, et al.
Published: (2025)

VideoSeek: Long-Horizon Video Agent with Tool-Guided Seeking
by: Lin, Jingyang, et al.
Published: (2026)

Revealing and Mitigating the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing
by: Zhang, Wenyuan, et al.
Published: (2024)

ParallelMuse: Agentic Parallel Thinking for Deep Information Seeking
by: Li, Baixuan, et al.
Published: (2025)

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
by: Wang, Minzheng, et al.
Published: (2024)

EvoRoute: Experience-Driven Self-Routing LLM Agent Systems
by: Zhang, Guibin, et al.
Published: (2026)

How Alignment and Jailbreak Work: Explain LLM Safety through Intermediate Hidden States
by: Zhou, Zhenhong, et al.
Published: (2024)

DeepSeek-V3 Technical Report
by: DeepSeek-AI, et al.
Published: (2024)

Redefining Proactivity for Information Seeking Dialogue
by: Lee, Jing Yang, et al.
Published: (2024)

Socratic-PRMBench: Benchmarking Process Reward Models with Systematic Reasoning Patterns
by: Li, Xiang, et al.
Published: (2025)

DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning
by: Shao, Zhihong, et al.
Published: (2025)

An evaluation of DeepSeek Models in Biomedical Natural Language Processing
by: Zhan, Zaifu, et al.
Published: (2025)

Safety Evaluation of DeepSeek Models in Chinese Contexts
by: Zhang, Wenjing, et al.
Published: (2025)

InfoMosaic-Bench: Evaluating Multi-Source Information Seeking in Tool-Augmented Agents
by: Du, Yaxin, et al.
Published: (2025)

DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling
by: Wang, Minzheng, et al.
Published: (2024)

SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis
by: Sun, Shuang, et al.
Published: (2025)

Context Training with Active Information Seeking
by: Huang, Zeyu, et al.
Published: (2026)

WebCoach: Self-Evolving Web Agents with Cross-Session Memory Guidance
by: Liu, Genglin, et al.
Published: (2025)

WideSeek: Advancing Wide Research via Multi-Agent Scaling
by: Huang, Ziyang, et al.
Published: (2026)

GISA: A Benchmark for General Information-Seeking Assistant
by: Zhu, Yutao, et al.
Published: (2026)

Exploring Information Seeking Agent Consolidation
by: Yan, Guochen, et al.
Published: (2026)

Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings
by: Ying, Zonghao, et al.
Published: (2025)

BrowserAgent: Building Web Agents with Human-Inspired Web Browsing Actions
by: Yu, Tao, et al.
Published: (2025)

A Comparison of DeepSeek and Other LLMs
by: Gao, Tianchen, et al.
Published: (2025)

Seek and Solve Reasoning for Table Question Answering
by: Jiang, Ruya, et al.
Published: (2024)

A Chatbot for Asylum-Seeking Migrants in Europe
by: Fazzinga, Bettina, et al.
Published: (2024)

SmartSnap: Proactive Evidence Seeking for Self-Verifying Agents
by: Cai, Shaofei, et al.
Published: (2025)

ExpNote: Black-box Large Language Models are Better Task Solvers with Experience Notebook
by: Sun, Wangtao, et al.
Published: (2023)

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
by: DeepSeek-AI, et al.
Published: (2024)

MoR: Mixture of Ranks for Low-Rank Adaptation Tuning
by: Tang, Chuanyu, et al.
Published: (2024)

MockLLM: A Multi-Agent Behavior Collaboration Framework for Online Job Seeking and Recruiting
by: Sun, Hongda, et al.
Published: (2024)

TokenSeek: Memory Efficient Fine Tuning via Instance-Aware Token Ditching
by: Zeng, Runjia, et al.
Published: (2026)

On the Role of Attention Heads in Large Language Model Safety
by: Zhou, Zhenhong, et al.
Published: (2024)

Nested Browser-Use Learning for Agentic Information Seeking
by: Li, Baixuan, et al.
Published: (2025)