Cover Image

Dual-View Training for Instruction-Following Information Retrieval

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zeng, Qingcheng, Yu, Puxuan, Mehta, Aman, Zhao, Fuheng, Samdani, Rajhans
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Code-Switching Information Retrieval: Benchmarks, Analysis, and the Limits of Current Retrievers
by: Zeng, Qingcheng, et al.
Published: (2026)

Improved Learned Sparse Retrieval with Corpus-Specific Vocabularies
by: Yu, Puxuan, et al.
Published: (2024)

Fact or Facsimile? Evaluating the Factual Robustness of Modern Retrievers
by: Wu, Haoyu, et al.
Published: (2025)

A Survey of Model Architectures in Information Retrieval
by: Xu, Zhichao, et al.
Published: (2025)

Arctic-Embed 2.0: Multilingual Retrieval Without Compromise
by: Yu, Puxuan, et al.
Published: (2024)

IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval
by: Song, Tingyu, et al.
Published: (2025)

Beyond Content Relevance: Evaluating Instruction Following in Retrieval Models
by: Zhou, Jianqun, et al.
Published: (2024)

Semantic Retrieval for Product Search in E-Commerce
by: Kothari, Nikhil, et al.
Published: (2026)

Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from LLMs
by: Yu, Puxuan, et al.
Published: (2024)

FollowTable: A Benchmark for Instruction-Following Table Retrieval
by: Jin, Rihui, et al.
Published: (2026)

FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
by: Weller, Orion, et al.
Published: (2024)

Towards Better Instruction Following Retrieval Models
by: Zhuang, Yuchen, et al.
Published: (2025)

mFollowIR: a Multilingual Benchmark for Instruction Following in Retrieval
by: Weller, Orion, et al.
Published: (2025)

TCDE: Topic-Centric Dual Expansion of Queries and Documents with Large Language Models for Information Retrieval
by: Yang, Yu, et al.
Published: (2025)

Exploring the Nexus Between Retrievability and Query Generation Strategies
by: Sinha, Aman, et al.
Published: (2024)

Bridging Sequential and Contextual Features with a Dual-View of Fine-grained Core-Behaviors and Global Interest-Distribution
by: Xu, Yi, et al.
Published: (2026)

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

MATRAG: Multi-Agent Transparent Retrieval-Augmented Generation for Explainable Recommendations
by: Mehta, Sushant
Published: (2026)

Multilingual Information Retrieval with a Monolingual Knowledge Base
by: Zhuang, Yingying, et al.
Published: (2025)

Unifying Search and Recommendation with Dual-View Representation Learning in a Generative Paradigm
by: Zhao, Jujia, et al.
Published: (2025)

A Decision Theory View of the Information Retrieval Situation: An Operations Research Approach
by: Kraft, Donald H.
Published: (1973)

OxygenREC: An Instruction-Following Generative Framework for E-commerce Recommendation
by: Hao, Xuegang, et al.
Published: (2025)

An Empirical Study of Position Bias in Modern Information Retrieval
by: Zeng, Ziyang, et al.
Published: (2025)

Hypencoder: Hypernetworks for Information Retrieval
by: Killingback, Julian, et al.
Published: (2025)

2D Matryoshka Training for Information Retrieval
by: Wang, Shuai, et al.
Published: (2024)

DUET: Dual Model Co-Training for Entire Space CTR Prediction
by: Xiao, Yutian, et al.
Published: (2025)

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

Human-Computer Interaction as a basis for assessing Geographic Information Retrieval Systems.
by: Manuel Enrique Puebla Martínez
Published: (2018)

Optimizing Leaky Private Information Retrieval Codes to Achieve ${O}(\log K)$ Leakage Ratio Exponent
by: Zhao, Wenyuan, et al.
Published: (2025)

Autumn: A Scalable Read Optimized LSM-tree based Key-Value Stores with Fast Point and Range Read Speed
by: Zhao, Fuheng, et al.
Published: (2023)

MultiConIR: Towards multi-condition Information Retrieval
by: Lu, Xuan, et al.
Published: (2025)

Toward General Instruction-Following Alignment for Retrieval-Augmented Generation
by: Dong, Guanting, et al.
Published: (2024)

Training Dense Retrievers with Multiple Positive Passages
by: Wang, Benben, et al.
Published: (2026)

Multi-View Adaptive Contrastive Learning for Information Retrieval Based Fault Localization
by: Zhou, Chunying, et al.
Published: (2024)

Automatic Classification in Information Retrieval.
by: van Rijsbergen, C. J.
Published: (1978)

Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models
by: Weller, Orion, et al.
Published: (2024)

RETLLM: Training and Data-Free MLLMs for Multimodal Information Retrieval
by: Su, Dawei, 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)

PosIR: Position-Aware Heterogeneous Information Retrieval Benchmark
by: Zeng, Ziyang, et al.
Published: (2026)

Information Retrieval with Entity Linking
by: Shehata, Dahlia
Published: (2024)