:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Hanbing, Cao, Lang, Li, Yang
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2604.05096
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TableMaster: A Recipe to Advance Table Understanding with Language Models
by: Cao, Lang, et al.
Published: (2025)

Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism
by: Cao, Lang
Published: (2023)

Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement Learning
by: Liu, Hanbing, et al.
Published: (2025)

KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge
by: Jiang, Pengcheng, et al.
Published: (2024)

Understanding Knowledge Drift in LLMs through Misinformation
by: Fastowski, Alina, et al.
Published: (2024)

KARE-RAG: Knowledge-Aware Refinement and Enhancement for RAG
by: Li, Yongjian, et al.
Published: (2025)

Tackling Distribution Shift in LLM via KILO: Knowledge-Instructed Learning for Continual Adaptation
by: Muttakhiroh, Iing, et al.
Published: (2025)

From Task Solving to Robust Real-World Adaptation in LLM Agents
by: Pezeshkpour, Pouya, et al.
Published: (2026)

CURaTE: Continual Unlearning in Real Time with Ensured Preservation of LLM Knowledge
by: Bae, Seyun, et al.
Published: (2026)

Beyond Fine-Tuning: Robust Food Entity Linking under Ontology Drift with FoodOntoRAG
by: Drole, Jan, et al.
Published: (2026)

Towards Transparent RAG: Fostering Evidence Traceability in LLM Generation via Reinforcement Learning
by: Ren, Jingyi, et al.
Published: (2025)

RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation
by: Jiang, Pengcheng, et al.
Published: (2025)

DiagGPT: An LLM-based and Multi-agent Dialogue System with Automatic Topic Management for Flexible Task-Oriented Dialogue
by: Cao, Lang
Published: (2023)

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities
by: Markondapatnaikuni, Hruday, et al.
Published: (2025)

KG-Infused RAG: Augmenting Corpus-Based RAG with External Knowledge Graphs
by: Wu, Dingjun, et al.
Published: (2025)

RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
by: Jin, Zhuoran, et al.
Published: (2024)

A RAG-Based Multi-Agent LLM System for Natural Hazard Resilience and Adaptation
by: Xie, Yangxinyu, et al.
Published: (2025)

ConsintBench: Evaluating Language Models on Real-World Consumer Intent Understanding
by: Li, Xiaozhe, et al.
Published: (2025)

ExpWeaver: LLM Agents Learn from Experience via Latent RAG
by: Feng, Tao, et al.
Published: (2026)

Orthogonal Low-rank Adaptation in Lie Groups for Continual Learning of Large Language Models
by: Cao, Kefan, et al.
Published: (2025)

TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks
by: Xu, Frank F., et al.
Published: (2024)

HEALTH-PARIKSHA: Assessing RAG Models for Health Chatbots in Real-World Multilingual Settings
by: Gumma, Varun, et al.
Published: (2024)

Domain-Specific Data Generation Framework for RAG Adaptation
by: Tian, Chris Xing, et al.
Published: (2025)

The Law of Knowledge Overshadowing: Towards Understanding, Predicting, and Preventing LLM Hallucination
by: Zhang, Yuji, et al.
Published: (2025)

LAD-RAG: Layout-aware Dynamic RAG for Visually-Rich Document Understanding
by: Sourati, Zhivar, et al.
Published: (2025)

Towards Robust Real-World Spreadsheet Understanding with Multi-Agent Multi-Format Reasoning
by: Ren, Houxing, et al.
Published: (2026)

Micro-Act: Mitigating Knowledge Conflict in LLM-based RAG via Actionable Self-Reasoning
by: Huo, Nan, et al.
Published: (2025)

Real-World Summarization: When Evaluation Reaches Its Limits
by: Schmidtová, Patrícia, et al.
Published: (2025)

FinMCP-Bench: Benchmarking LLM Agents for Real-World Financial Tool Use under the Model Context Protocol
by: Zhu, Jie, et al.
Published: (2026)

ConflictRAG: Detecting and Resolving Knowledge Conflicts in Retrieval Augmented Generation
by: Wang, Chenyu, et al.
Published: (2026)

Overcoming the "Impracticality" of RAG: Proposing a Real-World Benchmark and Multi-Dimensional Diagnostic Framework
by: Narita, Kenichirou, et al.
Published: (2026)

CTTA-T: Continual Test-Time Adaptation for Text Understanding via Teacher-Student with a Domain-aware and Generalized Teacher
by: Liu, Tianlun, et al.
Published: (2025)

Knowledge Is Not Static: Order-Aware Hypergraph RAG for Language Models
by: Wu, Keshu, et al.
Published: (2026)

WIKIGENBENCH: Exploring Full-length Wikipedia Generation under Real-World Scenario
by: Zhang, Jiebin, et al.
Published: (2024)

CoreEval: Automatically Building Contamination-Resilient Datasets with Real-World Knowledge toward Reliable LLM Evaluation
by: Zhao, Jingqian, et al.
Published: (2025)

Efficient and Transferable Agentic Knowledge Graph RAG via Reinforcement Learning
by: Lin, Junhong, et al.
Published: (2025)

Know3-RAG: A Knowledge-aware RAG Framework with Adaptive Retrieval, Generation, and Filtering
by: Liu, Xukai, et al.
Published: (2025)

Transforming External Knowledge into Triplets for Enhanced Retrieval in RAG of LLMs
by: Wang, Xudong, et al.
Published: (2026)

ECom-Bench: Can LLM Agent Resolve Real-World E-commerce Customer Support Issues?
by: Wang, Haoxin, 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)