:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhong, Yunfei, Yang, Jun, Fan, Yixing, Su, Lixin, de Rijke, Maarten, Zhang, Ruqing, Cheng, Xueqi
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	https://arxiv.org/abs/2509.06544
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Does Generative Retrieval Overcome the Limitations of Dense Retrieval?
by: Zhang, Yingchen, et al.
Published: (2025)

On the Scaling of Robustness and Effectiveness in Dense Retrieval
by: Liu, Yu-An, et al.
Published: (2025)

AdversarialCoT: Single-Document Retrieval Poisoning for LLM Reasoning
by: Song, Hongru, et al.
Published: (2026)

From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification
by: Zhang, Hengran, et al.
Published: (2023)

Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval
by: Tang, Yubao, et al.
Published: (2024)

Continual Learning for Generative Retrieval over Dynamic Corpora
by: Chen, Jiangui, et al.
Published: (2023)

Are Large Language Models Good at Utility Judgments?
by: Zhang, Hengran, et al.
Published: (2024)

Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-box Neural Ranking Models
by: Liu, Yu-An, et al.
Published: (2024)

Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective
by: Liu, Yu-An, et al.
Published: (2024)

Multi-granular Adversarial Attacks against Black-box Neural Ranking Models
by: Liu, Yu-An, et al.
Published: (2024)

On the Robustness of Generative Information Retrieval Models
by: Liu, Yu-An, et al.
Published: (2024)

Generative Retrieval Meets Multi-Graded Relevance
by: Tang, Yubao, et al.
Published: (2024)

CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks
by: Guo, Jiafeng, et al.
Published: (2024)

Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning
by: Wei, Wenda, et al.
Published: (2025)

Listwise Generative Retrieval Models via a Sequential Learning Process
by: Tang, Yubao, et al.
Published: (2024)

An Empirical Study of Evaluating Long-form Question Answering
by: Xian, Ning, et al.
Published: (2025)

Robust Information Retrieval
by: Liu, Yu-An, et al.
Published: (2024)

The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems
by: Song, Hongru, et al.
Published: (2025)

Generative Retrieval for Book search
by: Tang, Yubao, et al.
Published: (2025)

TrustRAG: An Information Assistant with Retrieval Augmented Generation
by: Fan, Yixing, et al.
Published: (2025)

VeriCite: Towards Reliable Citations in Retrieval-Augmented Generation via Rigorous Verification
by: Qian, Haosheng, et al.
Published: (2025)

LLMs as Sparse Retrievers:A Framework for First-Stage Product Search
by: Song, Hongru, et al.
Published: (2025)

Chain-of-Thought Poisoning Attacks against R1-based Retrieval-Augmented Generation Systems
by: Song, Hongru, et al.
Published: (2025)

A Generative Framework for Personalized Sticker Retrieval
by: Zhou, Changjiang, et al.
Published: (2025)

Multi-Step Semantic Reasoning in Generative Retrieval
by: Dong, Steven, et al.
Published: (2026)

Bridging Queries and Tables through Entities in Table Retrieval
by: Li, Da, et al.
Published: (2025)

SubSearch: Intermediate Rewards for Unsupervised Guided Reasoning in Complex Retrieval
by: Petcu, Roxana, et al.
Published: (2026)

OrLog: Resolving Complex Queries with LLMs and Probabilistic Reasoning
by: Hoveyda, Mohanna, et al.
Published: (2026)

Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank (Extended Abstract)
by: Hager, Philipp, et al.
Published: (2025)

On the Capacity of Citation Generation by Large Language Models
by: Qian, Haosheng, et al.
Published: (2024)

Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics
by: Xu, Chen, et al.
Published: (2025)

Understanding Visual Saliency of Outlier Items in Product Search
by: Sarvi, Fatemeh, et al.
Published: (2025)

Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank
by: Hager, Philipp, et al.
Published: (2025)

Controlled Retrieval-augmented Context Evaluation for Long-form RAG
by: Ju, Jia-Huei, et al.
Published: (2025)

The Attention Market: Interpreting Online Fair Re-ranking as Manifold Optimization under Walrasian Equilibrium
by: Xu, Chen, et al.
Published: (2026)

A Comprehensive Taxonomy of Negation for NLP and Neural Retrievers
by: Petcu, Roxana, et al.
Published: (2025)

Generative Retrieval as Multi-Vector Dense Retrieval
by: Wu, Shiguang, et al.
Published: (2024)

C2T-ID: Converting Semantic Codebooks to Textual Document Identifiers for Generative Search
by: Zhang, Yingchen, et al.
Published: (2025)

Constrained Auto-Regressive Decoding Constrains Generative Retrieval
by: Wu, Shiguang, et al.
Published: (2025)

Tutorial on Reasoning for IR & IR for Reasoning
by: Hoveyda, Mohanna, et al.
Published: (2026)