:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Zijian, Ma, Xueguang, Zhuang, Shengyao, Nie, Ping, Zou, Kai, Liu, Andrew, Green, Joshua, Patel, Kshama, Meng, Ruoxi, Su, Mingyi, Sharifymoghaddam, Sahel, Li, Yanxi, Hong, Haoran, Shi, Xinyu, Liu, Xuye, Thakur, Nandan, Zhang, Crystina, Gao, Luyu, Chen, Wenhu, Lin, Jimmy
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Information Retrieval
Online Access:	https://arxiv.org/abs/2508.06600
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hard Negatives, Hard Lessons: Revisiting Training Data Quality for Robust Information Retrieval with LLMs
by: Thakur, Nandan, et al.
Published: (2025)

UniRAG: Universal Retrieval Augmentation for Large Vision Language Models
by: Sharifymoghaddam, Sahel, et al.
Published: (2024)

Chatbot Arena Meets Nuggets: Towards Explanations and Diagnostics in the Evaluation of LLM Responses
by: Sharifymoghaddam, Sahel, et al.
Published: (2025)

ORBIT: Scalable and Verifiable Data Generation for Search Agents on a Tight Budget
by: Thakur, Nandan, et al.
Published: (2026)

MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
by: Li, Shilong, et al.
Published: (2025)

Rerank Before You Reason: Analyzing Reranking Tradeoffs through Effective Token Cost in Deep Search Agents
by: Sharifymoghaddam, Sahel, et al.
Published: (2026)

BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents
by: Wei, Jason, et al.
Published: (2025)

BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese
by: Zhou, Peilin, et al.
Published: (2025)

BrowseComp-$V^3$: A Visual, Vertical, and Verifiable Benchmark for Multimodal Browsing Agents
by: Zhang, Huanyao, et al.
Published: (2026)

K-BrowseComp: A Web Browsing Agent Benchmark Grounded in Korean Contexts
by: Lee, Nahyun, et al.
Published: (2026)

MAGMaR Shared Task System Description: Video Retrieval with OmniEmbed
by: Zhan, Jiaqi Samantha, et al.
Published: (2025)

Lighting the Way for BRIGHT: Reproducible Baselines with Anserini, Pyserini, and RankLLM
by: Sharifymoghaddam, Sahel, et al.
Published: (2025)

Ragnarök: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Track
by: Pradeep, Ronak, et al.
Published: (2024)

VISA: Retrieval Augmented Generation with Visual Source Attribution
by: Ma, Xueguang, et al.
Published: (2024)

Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality
by: Ma, Xueguang, et al.
Published: (2025)

AgentIR: Reasoning-Aware Retrieval for Deep Research Agents
by: Chen, Zijian, et al.
Published: (2026)

LACONIC: Dense-Level Effectiveness for Scalable Sparse Retrieval via a Two-Phase Training Curriculum
by: Xu, Zhichao, et al.
Published: (2026)

RankLLM: A Python Package for Reranking with LLMs
by: Sharifymoghaddam, Sahel, et al.
Published: (2025)

Unifying Multimodal Retrieval via Document Screenshot Embedding
by: Ma, Xueguang, et al.
Published: (2024)

Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning
by: Zhuang, Shengyao, et al.
Published: (2025)

PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval
by: Zhuang, Shengyao, et al.
Published: (2024)

Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering
by: Wang, Yubo, et al.
Published: (2023)

LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
by: Jiang, Ziyan, et al.
Published: (2024)

PixelWorld: How Far Are We from Perceiving Everything as Pixels?
by: Lyu, Zhiheng, et al.
Published: (2025)

Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks
by: Zhuang, Shengyao, et al.
Published: (2025)

Still Fresh? Evaluating Temporal Drift in Retrieval Benchmarks
by: Kuissi, Nathan, et al.
Published: (2026)

General-Reasoner: Advancing LLM Reasoning Across All Domains
by: Ma, Xueguang, et al.
Published: (2025)

MedBrowseComp: Benchmarking Medical Deep Research and Computer Use
by: Chen, Shan, et al.
Published: (2025)

MMSearch-Plus: Benchmarking Provenance-Aware Search for Multimodal Browsing Agents
by: Tao, Xijia, et al.
Published: (2025)

UMBRELA: UMbrela is the (Open-Source Reproduction of the) Bing RELevance Assessor
by: Upadhyay, Shivani, et al.
Published: (2024)

MIRAGE-Bench: Automatic Multilingual Benchmark Arena for Retrieval-Augmented Generation Systems
by: Thakur, Nandan, et al.
Published: (2024)

Transparency as Delayed Observability in Multi-Agent Systems
by: Dwarakanath, Kshama, et al.
Published: (2024)

LiveBrowseComp: Are Search Agents Searching, or Just Verifying What They Already Know?
by: Fan, HuiMing, et al.
Published: (2026)

Collaboration with GAI in Artistic Creation of Cultural Heritage: Approaches, Challenges and Mitigations
by: Ruoxi Liu, et al.
Published: (2025)

FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents
by: Thakur, Nandan, et al.
Published: (2025)

Overview of the TREC 2025 Retrieval Augmented Generation (RAG) Track
by: Upadhyay, Shivani, et al.
Published: (2026)

Support Evaluation for the TREC 2024 RAG Track: Comparing Human versus LLM Judges
by: Thakur, Nandan, et al.
Published: (2025)

The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models
by: Pradeep, Ronak, et al.
Published: (2025)

Initial Nugget Evaluation Results for the TREC 2024 RAG Track with the AutoNuggetizer Framework
by: Pradeep, Ronak, et al.
Published: (2024)

Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval
by: Thakur, Nandan, et al.
Published: (2023)