:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Huang, Lisheng, Liu, Yichen, Jiang, Jinhao, Zhang, Rongxiang, Yan, Jiahao, Li, Junyi, Zhao, Wayne Xin
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2505.18105
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Open Deep Search: Democratizing Search with Open-source Reasoning Agents
by: Alzubi, Salaheddin, et al.
Published: (2025)

Holistically Guided Monte Carlo Tree Search for Intricate Information Seeking
by: Ren, Ruiyang, et al.
Published: (2025)

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation
by: Dong, Zican, et al.
Published: (2025)

Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment
by: Jiang, Jinhao, et al.
Published: (2024)

OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data
by: Du, Yuwen, et al.
Published: (2026)

BASES: Large-scale Web Search User Simulation with Large Language Model based Agents
by: Ren, Ruiyang, et al.
Published: (2024)

KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph
by: Jiang, Jinhao, et al.
Published: (2024)

R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
by: Song, Huatong, et al.
Published: (2025)

CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability
by: Peng, Han, et al.
Published: (2025)

ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting
by: Cheng, Xiaoxue, et al.
Published: (2024)

Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated User
by: Wang, Xiaolei, et al.
Published: (2025)

MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability
by: Wu, Weiqi, et al.
Published: (2025)

ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph
by: Jiang, Jinhao, et al.
Published: (2023)

Enhancing LLM Reasoning with Reward-guided Tree Search
by: Jiang, Jinhao, et al.
Published: (2024)

REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
by: Wang, Yuhao, et al.
Published: (2024)

BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models
by: Dong, Zican, et al.
Published: (2023)

RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement
by: Jiang, Jinhao, et al.
Published: (2024)

EvolveSearch: An Iterative Self-Evolving Search Agent
by: Zhang, Dingchu, et al.
Published: (2025)

SWE-World: Building Software Engineering Agents in Docker-Free Environments
by: Sun, Shuang, et al.
Published: (2026)

YuLan-Mini: An Open Data-efficient Language Model
by: Hu, Yiwen, et al.
Published: (2024)

SWE-Master: Unleashing the Potential of Software Engineering Agents via Post-Training
by: Song, Huatong, et al.
Published: (2026)

CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language Models
by: Gong, Peiyuan, et al.
Published: (2024)

HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches
by: Tan, Jiejun, et al.
Published: (2025)

Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
by: Cheng, Xiaoxue, et al.
Published: (2025)

DeepDive: Advancing Deep Search Agents with Knowledge Graphs and Multi-Turn RL
by: Lu, Rui, et al.
Published: (2025)

Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector
by: Cheng, Xiaoxue, et al.
Published: (2024)

ZeroSearch: Incentivize the Search Capability of LLMs without Searching
by: Sun, Hao, et al.
Published: (2025)

Enhancing Cross-task Transfer of Large Language Models via Activation Steering
by: Tang, Xinyu, et al.
Published: (2025)

The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models
by: Li, Junyi, et al.
Published: (2024)

Exploring Context Window of Large Language Models via Decomposed Positional Vectors
by: Dong, Zican, et al.
Published: (2024)

CriticSearch: Fine-Grained Credit Assignment for Search Agents via a Retrospective Critic
by: Zhang, Yaocheng, et al.
Published: (2025)

A Survey on Long Text Modeling with Transformers
by: Dong, Zican, et al.
Published: (2023)

From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents
by: Zhang, Weizhi, et al.
Published: (2025)

Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework
by: Chen, Jie, et al.
Published: (2025)

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
by: Sun, Weiwei, et al.
Published: (2023)

Bias Association Discovery Framework for Open-Ended LLM Generations
by: Pan, Jinhao, et al.
Published: (2025)

Neural Chain-of-Thought Search: Searching the Optimal Reasoning Path to Enhance Large Language Models
by: Ling, Guoming, et al.
Published: (2026)

Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking
by: Cheng, Xiaoxue, et al.
Published: (2025)

RE-TRAC: REcursive TRAjectory Compression for Deep Search Agents
by: Zhu, Jialiang, et al.
Published: (2026)

DeepSearchQA: Bridging the Comprehensiveness Gap for Deep Research Agents
by: Gupta, Nikita, et al.
Published: (2026)