:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Su, Hongjin, Jiang, Shuyang, Lai, Yuhang, Wu, Haoyuan, Shi, Boao, Liu, Che, Liu, Qian, Yu, Tao
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2402.12317
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MetaAgent: Toward Self-Evolving Agent via Tool Meta-Learning
by: Qian, Hongjin, et al.
Published: (2025)

Model-Document Protocol for AI Search
by: Qian, Hongjin, et al.
Published: (2025)

Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization
by: Zhu, Yutao, et al.
Published: (2025)

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams
by: Wu, Yongxuan, et al.
Published: (2025)

Grounding Language Model with Chunking-Free In-Context Retrieval
by: Qian, Hongjin, et al.
Published: (2024)

R-Debater: Retrieval-Augmented Debate Generation through Argumentative Memory
by: Li, Maoyuan, et al.
Published: (2025)

MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation
by: Qian, Hongjin, et al.
Published: (2024)

MemoBrain: Executive Memory as an Agentic Brain for Reasoning
by: Qian, Hongjin, et al.
Published: (2026)

Open Data Synthesis For Deep Research
by: Xia, Ziyi, et al.
Published: (2025)

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey
by: Zhou, Yujia, et al.
Published: (2024)

Knowledge Fusion By Evolving Weights of Language Models
by: Du, Guodong, et al.
Published: (2024)

Bridge-RAG: An Abstract Bridge Tree Based Retrieval Augmented Generation Algorithm
by: Li, Zihang, et al.
Published: (2026)

BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval
by: Su, Hongjin, et al.
Published: (2024)

Continuous Knowledge Metabolism: Generating Scientific Hypotheses from Evolving Literature
by: Tao, Jinkai, et al.
Published: (2026)

SEW: Self-Evolving Agentic Workflows for Automated Code Generation
by: Liu, Siwei, et al.
Published: (2025)

Generative Representational Instruction Tuning
by: Muennighoff, Niklas, et al.
Published: (2024)

H-Mem: A Novel Memory Mechanism for Evolving and Retrieving Agent Memory via a Hybrid Structure
by: Yu, Jiawei, et al.
Published: (2026)

Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models
by: Jiang, Bohan, et al.
Published: (2024)

General Agentic Memory Via Deep Research
by: Yan, B. Y., et al.
Published: (2025)

Evolving Subnetwork Training for Large Language Models
by: Li, Hanqi, et al.
Published: (2024)

Mem$^2$Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience Distillation
by: Cheng, Zihao, et al.
Published: (2026)

Multi-Agent Collaboration via Evolving Orchestration
by: Dang, Yufan, et al.
Published: (2025)

Boosting Long-Context Management via Query-Guided Activation Refilling
by: Qian, Hongjin, et al.
Published: (2024)

AgentFugue: Agent Scaling for Long-Horizon Tasks through Collective Reasoning
by: Hu, Yuyang, et al.
Published: (2026)

InfoFlow: Reinforcing Search Agent Via Reward Density Optimization
by: Luo, Kun, et al.
Published: (2025)

ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation
by: Lee, Zhicheng, et al.
Published: (2025)

CAR: Query-Guided Confidence-Aware Reranking for Retrieval-Augmented Generation
by: Song, Zhipeng, et al.
Published: (2026)

EvolvR: Self-Evolving Pairwise Reasoning for Story Evaluation to Enhance Generation
by: Wang, Xinda, et al.
Published: (2025)

Are Long-LLMs A Necessity For Long-Context Tasks?
by: Qian, Hongjin, et al.
Published: (2024)

Evaluation of Retrieval-Augmented Generation: A Survey
by: Yu, Hao, et al.
Published: (2024)

MobEvolve: An Agentic Self-Evolving Heuristic System for Interpretable Human Mobility Generation
by: He, Junlin, et al.
Published: (2026)

LLM-Confidence Reranker: A Training-Free Approach for Enhancing Retrieval-Augmented Generation Systems
by: Song, Zhipeng, et al.
Published: (2026)

MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering
by: Shi, Yucheng, et al.
Published: (2023)

Overthinking Reduction with Decoupled Rewards and Curriculum Data Scheduling
by: Jiang, Shuyang, et al.
Published: (2025)

Miner:Mining Intrinsic Mastery for Data-Efficient RL in Large Reasoning Models
by: Jiang, Shuyang, et al.
Published: (2026)

The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation
by: Zhang, Zheng, et al.
Published: (2025)

NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation
by: Liu, Maoqi, et al.
Published: (2025)

EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories
by: Li, Jia, et al.
Published: (2024)

VideoAgentTrek: Computer Use Pretraining from Unlabeled Videos
by: Lu, Dunjie, et al.
Published: (2025)

Chain-of-Programming (CoP) : Empowering Large Language Models for Geospatial Code Generation
by: Hou, Shuyang, et al.
Published: (2024)