Cover Image

ICLERB: In-Context Learning Embedding and Reranker Benchmark

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ghossein, Marie Al, Contal, Emile, Robicquet, Alexandre
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RAGSys: Item-Cold-Start Recommender as RAG System
by: Contal, Emile, et al.
Published: (2024)

Dual-Rerank: Fusing Causality and Utility for Industrial Generative Reranking
by: Zhang, Chao, et al.
Published: (2026)

LLM-Enhanced Reranking for Complementary Product Recommendation
by: Xu, Zekun, et al.
Published: (2025)

Shopping Queries Image Dataset (SQID): An Image-Enriched ESCI Dataset for Exploring Multimodal Learning in Product Search
by: Ghossein, Marie Al, et al.
Published: (2024)

Learning Behaviorally Grounded Item Embeddings via Personalized Temporal Contexts
by: Sereicikas, Rafael T., et al.
Published: (2026)

VIBE: Vector Index Benchmark for Embeddings
by: Jääsaari, Elias, et al.
Published: (2025)

Beyond Sequential Reranking: Reranker-Guided Search Improves Reasoning Intensive Retrieval
by: Xu, Haike, et al.
Published: (2025)

Enhancing Mobile "How-to" Queries with Automated Search Results Verification and Reranking
by: Ding, Lei, et al.
Published: (2024)

How Relevance Emerges: Interpreting LoRA Fine-Tuning in Reranking LLMs
by: Nijasure, Atharva, et al.
Published: (2025)

Vectorized Context-Aware Embeddings for GAT-Based Collaborative Filtering
by: Ebrat, Danial, et al.
Published: (2025)

VoteGCL: Enhancing Graph-based Recommendations with Majority-Voting LLM-Rerank Augmentation
by: Nguyen, Minh-Anh, et al.
Published: (2025)

One Pass, Any Order: Position-Invariant Listwise Reranking for LLM-Based Recommendation
by: Bito, Ethan, et al.
Published: (2026)

Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG
by: Moreira, Gabriel de Souza P., et al.
Published: (2024)

A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems
by: Tran, Hung Vinh, et al.
Published: (2024)

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks
by: Dehghankar, Mohsen, et al.
Published: (2024)

Drowning in Documents: Consequences of Scaling Reranker Inference
by: Jacob, Mathew, et al.
Published: (2024)

Towards Lifelong Learning Embeddings: An Algorithmic Approach to Dynamically Extend Embeddings
by: Gomes, Miguel Alves, et al.
Published: (2024)

ContextGNN goes to Elliot: Towards Benchmarking Relational Deep Learning for Static Link Prediction (aka Personalized Item Recommendation)
by: Ariza-Casabona, Alejandro, et al.
Published: (2025)

DeGRe: Dense-supervised Generative Reranking for Recommendation
by: Song, Chaotian, et al.
Published: (2026)

Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT
by: Saad-Falcon, Jon, et al.
Published: (2024)

DS@GT at TREC TOT 2025: Bridging Vague Recollection with Fusion Retrieval and Learned Reranking
by: Zhou, Wenxin, et al.
Published: (2026)

Test-Time Training for Zero-Resource Dense Retrieval Reranking
by: Liu, Shiyan, et al.
Published: (2026)

Diagnosing LLM Reranker Behavior Under Fixed Evidence Pools
by: Arat, Baris, et al.
Published: (2026)

Rank1: Test-Time Compute for Reranking in Information Retrieval
by: Weller, Orion, et al.
Published: (2025)

GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs
by: Long, Meixiu, et al.
Published: (2025)

Beyond Retrieval: Ensembling Cross-Encoders and GPT Rerankers with LLMs for Biomedical QA
by: Verma, Shashank, et al.
Published: (2025)

Captions Are Worth a Thousand Words: Enhancing Product Retrieval with Pretrained Image-to-Text Models
by: Tang, Jason, et al.
Published: (2024)

Query Drift Compensation: Enabling Compatibility in Continual Learning of Retrieval Embedding Models
by: Goswami, Dipam, et al.
Published: (2025)

Deep Adaptive Interest Network: Personalized Recommendation with Context-Aware Learning
by: Huang, Shuaishuai, et al.
Published: (2024)

GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Generation
by: Miao, Ruizhong, et al.
Published: (2026)

Efficient Rationale-based Retrieval: On-policy Distillation from Generative Rerankers based on JEPA
by: Chen, Teng, et al.
Published: (2026)

Against Filter Bubbles: Diversified Music Recommendation via Weighted Hypergraph Embedding Learning
by: Luo, Chaoguang, et al.
Published: (2024)

FaMTEB: Massive Text Embedding Benchmark in Persian Language
by: Zinvandi, Erfan, et al.
Published: (2025)

Efficient and Effective Query Context-Aware Learning-to-Rank Model for Sequential Recommendation
by: Dzhoha, Andrii, et al.
Published: (2025)

GReF: A Unified Generative Framework for Efficient Reranking via Ordered Multi-token Prediction
by: Lin, Zhijie, et al.
Published: (2025)

Generalized Embedding Machines for Recommender Systems
by: Yang, Enneng, et al.
Published: (2020)

Is Cosine-Similarity of Embeddings Really About Similarity?
by: Steck, Harald, et al.
Published: (2024)

Scaling Laws for Embedding Dimension in Information Retrieval
by: Killingback, Julian, et al.
Published: (2026)

Applying Embedding-Based Retrieval to Airbnb Search
by: Abdool, Mustafa, et al.
Published: (2026)

Topological Metric for Unsupervised Embedding Quality Evaluation
by: Shestov, Aleksei, et al.
Published: (2025)