Saved in:
| Main Authors: | Chattaraj, Sourav, Raj, Kanak |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.00270 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Explainability of Text Processing and Retrieval Methods: A Survey
by: Saha, Sourav, et al.
Published: (2022)
by: Saha, Sourav, et al.
Published: (2022)
Benchmarking Complex Multimodal Document Processing Pipelines: A Unified Evaluation Framework for Enterprise AI
by: Singh, Saurabh K., et al.
Published: (2026)
by: Singh, Saurabh K., et al.
Published: (2026)
Model Editing at Scale leads to Gradual and Catastrophic Forgetting
by: Gupta, Akshat, et al.
Published: (2024)
by: Gupta, Akshat, et al.
Published: (2024)
Can't Remember Details in Long Documents? You Need Some R&R
by: Agrawal, Devanshu, et al.
Published: (2024)
by: Agrawal, Devanshu, et al.
Published: (2024)
Resisting Contextual Interference in RAG via Parametric-Knowledge Reinforcement
by: Lin, Chenyu, et al.
Published: (2025)
by: Lin, Chenyu, et al.
Published: (2025)
Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers
by: Sawarkar, Kunal, et al.
Published: (2024)
by: Sawarkar, Kunal, et al.
Published: (2024)
SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems
by: Bhardwaj, Varun Pratap
Published: (2026)
by: Bhardwaj, Varun Pratap
Published: (2026)
Political Events using RAG with LLMs
by: Arslan, Muhammad, et al.
Published: (2025)
by: Arslan, Muhammad, et al.
Published: (2025)
Are LLMs Truly Multilingual? Exploring Zero-Shot Multilingual Capability of LLMs for Information Retrieval: An Italian Healthcare Use Case
by: Kembu, Vignesh Kumar, et al.
Published: (2025)
by: Kembu, Vignesh Kumar, et al.
Published: (2025)
Retrieval-Augmented Generation by Evidence Retroactivity in LLMs
by: Xiao, Liang, et al.
Published: (2025)
by: Xiao, Liang, et al.
Published: (2025)
LLM-Oriented Information Retrieval: A Denoising-First Perspective
by: Dai, Lu, et al.
Published: (2026)
by: Dai, Lu, et al.
Published: (2026)
Retro*: Optimizing LLMs for Reasoning-Intensive Document Retrieval
by: Lan, Junwei, et al.
Published: (2025)
by: Lan, Junwei, et al.
Published: (2025)
Recommender Systems in the Era of Large Language Models (LLMs)
by: Zhao, Zihuai, et al.
Published: (2023)
by: Zhao, Zihuai, et al.
Published: (2023)
Structured Attention Matters to Multimodal LLMs in Document Understanding
by: Liu, Chang, et al.
Published: (2025)
by: Liu, Chang, et al.
Published: (2025)
Improving Robustness of Tabular Retrieval via Representational Stability
by: Bhandari, Kushal Raj, et al.
Published: (2026)
by: Bhandari, Kushal Raj, et al.
Published: (2026)
Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations
by: Xi, Yunjia, et al.
Published: (2026)
by: Xi, Yunjia, et al.
Published: (2026)
Distilling Reasoning Without Knowledge: A Framework for Reliable LLMs
by: Kietkajornrit, Auksarapak, et al.
Published: (2026)
by: Kietkajornrit, Auksarapak, et al.
Published: (2026)
An Efficient Rubric-based Generative Verifier for Search-Augmented LLMs
by: Ma, Linyue, et al.
Published: (2025)
by: Ma, Linyue, et al.
Published: (2025)
Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs
by: Wang, Ziliang, et al.
Published: (2025)
by: Wang, Ziliang, et al.
Published: (2025)
RAG-based Architectures for Drug Side Effect Retrieval in LLMs
by: Nygren, Shad, et al.
Published: (2025)
by: Nygren, Shad, et al.
Published: (2025)
Tuning LLMs by RAG Principles: Towards LLM-native Memory
by: Wei, Jiale, et al.
Published: (2025)
by: Wei, Jiale, et al.
Published: (2025)
EnrichIndex: Using LLMs to Enrich Retrieval Indices Offline
by: Chen, Peter Baile, et al.
Published: (2025)
by: Chen, Peter Baile, et al.
Published: (2025)
Multi-Head RAG: Solving Multi-Aspect Problems with LLMs
by: Besta, Maciej, et al.
Published: (2024)
by: Besta, Maciej, et al.
Published: (2024)
Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling
by: Zhang, Hengran, et al.
Published: (2025)
by: Zhang, Hengran, et al.
Published: (2025)
Global-Liar: Factuality of LLMs over Time and Geographic Regions
by: Mirza, Shujaat, et al.
Published: (2024)
by: Mirza, Shujaat, et al.
Published: (2024)
PRISM: Agentic Retrieval with LLMs for Multi-Hop Question Answering
by: Nahid, Md Mahadi Hasan, et al.
Published: (2025)
by: Nahid, Md Mahadi Hasan, et al.
Published: (2025)
Graph Neural Network Enhanced Retrieval for Question Answering of LLMs
by: Li, Zijian, et al.
Published: (2024)
by: Li, Zijian, et al.
Published: (2024)
The Impact of Quantization on Retrieval-Augmented Generation: An Analysis of Small LLMs
by: Yazan, Mert, et al.
Published: (2024)
by: Yazan, Mert, et al.
Published: (2024)
Evaluation of LLMs for Process Model Analysis and Optimization
by: Kumar, Akhil, et al.
Published: (2025)
by: Kumar, Akhil, et al.
Published: (2025)
Generative Query Expansion with Multilingual LLMs for Cross-Lingual Information Retrieval
by: Macmillan-Scott, Olivia, et al.
Published: (2025)
by: Macmillan-Scott, Olivia, et al.
Published: (2025)
LimGen: Probing the LLMs for Generating Suggestive Limitations of Research Papers
by: Faizullah, Abdur Rahman Bin Md, et al.
Published: (2024)
by: Faizullah, Abdur Rahman Bin Md, et al.
Published: (2024)
An Open-Source Dual-Loss Embedding Model for Semantic Retrieval in Higher Education
by: Sajja, Ramteja, et al.
Published: (2025)
by: Sajja, Ramteja, et al.
Published: (2025)
Enhancing Retrieval Processes for Language Generation with Augmented Queries
by: Ghali, Julien Pierre Edmond, et al.
Published: (2024)
by: Ghali, Julien Pierre Edmond, et al.
Published: (2024)
Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs
by: Tavakoli, Mohammad, et al.
Published: (2025)
by: Tavakoli, Mohammad, et al.
Published: (2025)
AGENT-CQ: Automatic Generation and Evaluation of Clarifying Questions for Conversational Search with LLMs
by: Siro, Clemencia, et al.
Published: (2024)
by: Siro, Clemencia, et al.
Published: (2024)
PaperAsk: A Benchmark for Reliability Evaluation of LLMs in Paper Search and Reading
by: Wu, Yutao, et al.
Published: (2025)
by: Wu, Yutao, et al.
Published: (2025)
Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization
by: Xing, Tiancheng, et al.
Published: (2025)
by: Xing, Tiancheng, et al.
Published: (2025)
Enhancing Long Context Performance in LLMs Through Inner Loop Query Mechanism
by: Tang, Yimin, et al.
Published: (2024)
by: Tang, Yimin, et al.
Published: (2024)
R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
by: Song, Huatong, et al.
Published: (2025)
by: Song, Huatong, et al.
Published: (2025)
ExaRanker-Open: Synthetic Explanation for IR using Open-Source LLMs
by: Ferraretto, Fernando, et al.
Published: (2024)
by: Ferraretto, Fernando, et al.
Published: (2024)
Similar Items
-
Explainability of Text Processing and Retrieval Methods: A Survey
by: Saha, Sourav, et al.
Published: (2022) -
Benchmarking Complex Multimodal Document Processing Pipelines: A Unified Evaluation Framework for Enterprise AI
by: Singh, Saurabh K., et al.
Published: (2026) -
Model Editing at Scale leads to Gradual and Catastrophic Forgetting
by: Gupta, Akshat, et al.
Published: (2024) -
Can't Remember Details in Long Documents? You Need Some R&R
by: Agrawal, Devanshu, et al.
Published: (2024) -
Resisting Contextual Interference in RAG via Parametric-Knowledge Reinforcement
by: Lin, Chenyu, et al.
Published: (2025)