WebSeer: Training Deeper Search Agents through Reinforcement Learning with Self-Reflection
Fuente:
arXiv
Saved in:
| Main Authors: | He, Guanzhong, Yang, Zhen, Liu, Jinxin, Xu, Bin, Hou, Lei, Li, Juanzi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards
by: Zhang, Jiajie, et al.
Published: (2026)
by: Zhang, Jiajie, et al.
Published: (2026)
VerIF: Verification Engineering for Reinforcement Learning in Instruction Following
by: Peng, Hao, et al.
Published: (2025)
by: Peng, Hao, et al.
Published: (2025)
WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning
by: Qi, Zehan, et al.
Published: (2024)
by: Qi, Zehan, et al.
Published: (2024)
Re-ReST: Reflection-Reinforced Self-Training for Language Agents
by: Dou, Zi-Yi, et al.
Published: (2024)
by: Dou, Zi-Yi, et al.
Published: (2024)
AtomR: Atomic Operator-Empowered Large Language Models for Heterogeneous Knowledge Reasoning
by: Xin, Amy, et al.
Published: (2024)
by: Xin, Amy, et al.
Published: (2024)
StoryAlign: Evaluating and Training Reward Models for Story Generation
by: Xia, Haotian, et al.
Published: (2026)
by: Xia, Haotian, et al.
Published: (2026)
StoryWriter: A Multi-Agent Framework for Long Story Generation
by: Xia, Haotian, et al.
Published: (2025)
by: Xia, Haotian, et al.
Published: (2025)
WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning
by: Wei, Zhepei, et al.
Published: (2025)
by: Wei, Zhepei, et al.
Published: (2025)
Aligning Teacher with Student Preferences for Tailored Training Data Generation
by: Liu, Yantao, et al.
Published: (2024)
by: Liu, Yantao, et al.
Published: (2024)
Meta-Reinforcement Learning with Self-Reflection for Agentic Search
by: Xiao, Teng, et al.
Published: (2026)
by: Xiao, Teng, et al.
Published: (2026)
LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks
by: Bai, Yushi, et al.
Published: (2024)
by: Bai, Yushi, et al.
Published: (2024)
DynaWeb: Model-Based Reinforcement Learning of Web Agents
by: Ding, Hang, et al.
Published: (2026)
by: Ding, Hang, et al.
Published: (2026)
How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering
by: Liu, Jinxin, et al.
Published: (2024)
by: Liu, Jinxin, et al.
Published: (2024)
Real-World Doctor Agent with Proactive Consultation through Multi-Agent Reinforcement Learning
by: Feng, Yichun, et al.
Published: (2025)
by: Feng, Yichun, et al.
Published: (2025)
ADELIE: Aligning Large Language Models on Information Extraction
by: Qi, Yunjia, et al.
Published: (2024)
by: Qi, Yunjia, et al.
Published: (2024)
ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation
by: Lee, Zhicheng, et al.
Published: (2025)
by: Lee, Zhicheng, et al.
Published: (2025)
VidCoM: Fast Video Comprehension through Large Language Models with Multimodal Tools
by: Qi, Ji, et al.
Published: (2023)
by: Qi, Ji, et al.
Published: (2023)
SSRL: Self-Search Reinforcement Learning
by: Fan, Yuchen, et al.
Published: (2025)
by: Fan, Yuchen, et al.
Published: (2025)
SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs
by: Gao, Yizhao, et al.
Published: (2024)
by: Gao, Yizhao, et al.
Published: (2024)
Seer Self-Consistency: Advance Budget Estimation for Adaptive Test-Time Scaling
by: Ji, Shiyu, et al.
Published: (2025)
by: Ji, Shiyu, et al.
Published: (2025)
Constraint Back-translation Improves Complex Instruction Following of Large Language Models
by: Qi, Yunjia, et al.
Published: (2024)
by: Qi, Yunjia, et al.
Published: (2024)
SIGHT: Reinforcement Learning with Self-Evidence and Information-Gain Diverse Branching for Search Agent
by: Zhong, Wenlin, et al.
Published: (2026)
by: Zhong, Wenlin, et al.
Published: (2026)
T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling
by: Hou, Zhenyu, et al.
Published: (2025)
by: Hou, Zhenyu, et al.
Published: (2025)
MAVEN-Fact: A Large-scale Event Factuality Detection Dataset
by: Li, Chunyang, et al.
Published: (2024)
by: Li, Chunyang, et al.
Published: (2024)
Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction
by: Qi, Ji, et al.
Published: (2023)
by: Qi, Ji, et al.
Published: (2023)
WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents
by: Liu, Junteng, et al.
Published: (2025)
by: Liu, Junteng, et al.
Published: (2025)
Deep Research Brings Deeper Harm
by: Chen, Shuo, et al.
Published: (2025)
by: Chen, Shuo, et al.
Published: (2025)
DeepDiver: Adaptive Search Intensity Scaling via Open-Web Reinforcement Learning
by: Shi, Wenxuan, et al.
Published: (2025)
by: Shi, Wenxuan, et al.
Published: (2025)
MMGeoLM: Hard Negative Contrastive Learning for Fine-Grained Geometric Understanding in Large Multimodal Models
by: Sun, Kai, et al.
Published: (2025)
by: Sun, Kai, et al.
Published: (2025)
MM-THEBench: Do Reasoning MLLMs Think Reasonably?
by: Huang, Zhidian, et al.
Published: (2026)
by: Huang, Zhidian, et al.
Published: (2026)
MRCEval: A Comprehensive, Challenging and Accessible Machine Reading Comprehension Benchmark
by: Ma, Shengkun, et al.
Published: (2025)
by: Ma, Shengkun, et al.
Published: (2025)
Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking
by: Chen, Yihan, et al.
Published: (2025)
by: Chen, Yihan, et al.
Published: (2025)
Personalized Learning Path Planning with Goal-Driven Learner State Modeling
by: Lim, Joy Jia Yin, et al.
Published: (2025)
by: Lim, Joy Jia Yin, et al.
Published: (2025)
SIRI: Scaling Iterative Reinforcement Learning with Interleaved Compression
by: Wen, Haoming, et al.
Published: (2025)
by: Wen, Haoming, et al.
Published: (2025)
AdaptThink: Reasoning Models Can Learn When to Think
by: Zhang, Jiajie, et al.
Published: (2025)
by: Zhang, Jiajie, et al.
Published: (2025)
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation
by: Yao, Zijun, et al.
Published: (2024)
by: Yao, Zijun, et al.
Published: (2024)
Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems
by: Peng, Hao, et al.
Published: (2025)
by: Peng, Hao, et al.
Published: (2025)
Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models
by: Lin, Nianyi, et al.
Published: (2025)
by: Lin, Nianyi, et al.
Published: (2025)
AGENTIF: Benchmarking Instruction Following of Large Language Models in Agentic Scenarios
by: Qi, Yunjia, et al.
Published: (2025)
by: Qi, Yunjia, et al.
Published: (2025)
Tracing Privacy Leakage of Language Models to Training Data via Adjusted Influence Functions
by: Liu, Jinxin, et al.
Published: (2024)
by: Liu, Jinxin, et al.
Published: (2024)
Similar Items
-
Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards
by: Zhang, Jiajie, et al.
Published: (2026) -
VerIF: Verification Engineering for Reinforcement Learning in Instruction Following
by: Peng, Hao, et al.
Published: (2025) -
WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning
by: Qi, Zehan, et al.
Published: (2024) -
Re-ReST: Reflection-Reinforced Self-Training for Language Agents
by: Dou, Zi-Yi, et al.
Published: (2024) -
AtomR: Atomic Operator-Empowered Large Language Models for Heterogeneous Knowledge Reasoning
by: Xin, Amy, et al.
Published: (2024)