:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wong, Lionel, Ali, Ayman, Xiong, Raymond, Shen, Shannon Zeijang, Kim, Yoon, Agrawal, Monica
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Information Retrieval
Online Access:	https://arxiv.org/abs/2502.14898
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation
by: Xu, Shicheng, et al.
Published: (2024)

GeAR: Graph-enhanced Agent for Retrieval-augmented Generation
by: Shen, Zhili, et al.
Published: (2024)

Neurosymbolic Retrievers for Retrieval-augmented Generation
by: Saxena, Yash, et al.
Published: (2026)

SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression
by: Jin, Yiqiao, et al.
Published: (2025)

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective
by: Jin, Bowen, et al.
Published: (2025)

xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
by: Cheng, Xin, et al.
Published: (2024)

MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot
by: Zhao, Xuejiao, et al.
Published: (2025)

Beyond Factual Grounding: The Case for Opinion-Aware Retrieval-Augmented Generation
by: Agrawal, Aditya, et al.
Published: (2026)

Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and Reasoning
by: Park, Sangkwon, et al.
Published: (2026)

Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method
by: Kim, Taehee, et al.
Published: (2026)

FinRetrieval: A Benchmark for Financial Data Retrieval by AI Agents
by: Kim, Eric Y., et al.
Published: (2026)

OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models
by: Maharjan, Jenish, et al.
Published: (2024)

OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs
by: Asai, Akari, et al.
Published: (2024)

EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation
by: Hwang, Taeho, et al.
Published: (2024)

VERA: Validation and Enhancement for Retrieval Augmented systems
by: Birur, Nitin Aravind, et al.
Published: (2024)

Retrieval-Augmented Reasoning for Chartered Accountancy
by: Gupta, Jatin, et al.
Published: (2026)

Ruling Out to Rule In: Contrastive Hypothesis Retrieval for Medical Question Answering
by: Kim, Byeolhee, et al.
Published: (2026)

Rethinking Soft Compression in Retrieval-Augmented Generation: A Query-Conditioned Selector Perspective
by: Liu, Yunhao, et al.
Published: (2026)

LLM-Oriented Information Retrieval: A Denoising-First Perspective
by: Dai, Lu, et al.
Published: (2026)

A Theory for Token-Level Harmonization in Retrieval-Augmented Generation
by: Xu, Shicheng, et al.
Published: (2024)

Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation
by: Kim, To Eun, et al.
Published: (2024)

EXCLAIM: An Explainable Cross-Modal Agentic System for Misinformation Detection with Hierarchical Retrieval
by: Wu, Yin, et al.
Published: (2025)

Benchmarking Retrieval-Augmented Generation for Chemistry
by: Zhong, Xianrui, et al.
Published: (2025)

Multi-Facet Blending for Faceted Query-by-Example Retrieval
by: Do, Heejin, et al.
Published: (2024)

FinAgentBench: A Benchmark Dataset for Agentic Retrieval in Financial Question Answering
by: Choi, Chanyeol, et al.
Published: (2025)

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

Hierarchical Retrieval with Evidence Curation for Open-Domain Financial Question Answering on Standardized Documents
by: Choe, Jaeyoung, et al.
Published: (2025)

PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answering
by: Du, Yiming, et al.
Published: (2024)

PersianRAG: A Retrieval-Augmented Generation System for Persian Language
by: Hosseini, Hossein, et al.
Published: (2024)

What can LLM tell us about cities?
by: Li, Zhuoheng, et al.
Published: (2024)

Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
by: Xu, Shicheng, et al.
Published: (2024)

RARe: Retrieval Augmented Retrieval with In-Context Examples
by: Tejaswi, Atula, et al.
Published: (2024)

TURA: Tool-Augmented Unified Retrieval Agent for AI Search
by: Zhao, Zhejun, et al.
Published: (2025)

WebFAQ 2.0: A Multilingual QA Dataset with Mined Hard Negatives for Dense Retrieval
by: Dinzinger, Michael, et al.
Published: (2026)

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents
by: Yu, Shi, et al.
Published: (2024)

Benchmarking Information Retrieval Models on Complex Retrieval Tasks
by: Killingback, Julian, et al.
Published: (2025)

Case-Based Reasoning Approach for Solving Financial Question Answering
by: Kim, Yikyung, et al.
Published: (2024)

RCSB PDB AI Help Desk: retrieval-augmented generation for protein structure deposition support
by: Chithari, Vivek Reddy, et al.
Published: (2026)

Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)

MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers
by: Kalra, Jushaan Singh, et al.
Published: (2025)