Sitemap - 2024 - Top Information Retrieval Papers of the Week

Advancing RAG Through Query Optimization, A Retrieval-Free Approach to Knowledge Tasks, and More!

A Next-Generation Encoder for Fast and Efficient NLP, LLMs for Real-World Recommender Systems, and More!

Semantic Retrieval at Walmart, Text Embeddings in the Era of Large Language Models, and More!

A Vision for Information Retrieval Systems in the GenAI Era, Investigating Large-Scale Recommendation Models, and More!

A Comparative Analysis of LLM Ranking Systems, Analyzing the Effectiveness of LLM Embeddings in Regression, and More!

Bridging LLMs and Display Advertising, Scaling Laws for Online Advertisement Systems, and More!

Understanding Context Sufficiency in RAG Systems, A Systematic Review of Language Model Representations, and More!

Retrieval-Augmented Visual Document Understanding, Long Context RAG Performance of LLMs and More!

Search Engines in an AI Era, Adapting In-Context Learning for Information Retrieval, and More!

Efficient Synthetic Data Generation for Text Embeddings, A Survey of Conversational Search, and More!

Agentic Information Retrieval, A Comparative Study of Semantic vs. Fixed-Size Strategies, and More!

Scaling Laws for Long-Context RAG, A Survey of Information Discovery Techniques in E-Commerce, and More!

Unified Multimodal Representation for Document Retrieval, Scalable Cross-Entropy Loss Function for Large-Scale Recommender Systems and More!

A Comprehensive Guide to Generative Recommenders, Efficient Compression for Multi-Vector Retrieval , and More!

Instruction-Tuned Retrieval for Flexible Information Search, Large Multimodal Models as AI Search Engines, and More!

A Practical Guide to HNSW vs. Flat Indexes, Enhancing Lexical Retrieval with Dense Neighborhood Insights, and More!

Rethinking RAG in the Era of Long-Context LLMs, A Lightweight Framework for Combining Domain Experts, and More!

A Comprehensive Study of Noise Types in RAG, Dynamic Hard Negative Mining for Enhanced Text Embeddings, and More!

Systematic Review of Graph RAG, A Comprehensive Study of LLMs in Dense Retrieval, and More!

Integrating Knowledge Graphs and Vector RAG, Enhancing Embedding Based Retrieval in E-commerce, and More!

Personalized LoRA for Recommender Systems, A Study on the Impact of Query Understanding at Amazon, and More!

A Survey on Retrieval Methods in Modern Recommender Systems, A Modular Approach to RAG, and More!

Efficient Retrieval with Learned Similarities, Balancing Performance and Cost in LLMs, and More!

A Comprehensive Survey of RAG for NLP, LinkedIn's GPU-Powered Retrieval System, and More!

The Speculative RAG Framework for Faster and More Accurate RAG, A Framework for Building Chatbots with RAG and More!

On Integration of LLMs and Search Engines, Best Practices in Retrieval-Augmented Generation, and More!

Empowering Smaller LLMs in Passage Re-Ranking, GPT-4 as a Reliable Evaluator for RAG Applications, and More!

The Crucial Role of Prompts in Zero-Shot LLM Ranking, Evaluating Retrieval-Augmented Code Generation, and More!

Generating Synthetic Queries for Virtual Assistants using LLMs, Matryoshka Representations for Recommender Systems, and More!

A Comprehensive Review of State-of-the-Art Universal Text Embeddings, Measuring Question Difficulty in Retrieval-based QA, and More!

A State-of-the-Art Generalist Embedding Model, Bridging the Gap Between Single and Multi-Vector Retrieval, and More!

Extreme Compression for Retrieval-Augmented Generation, Efficient List-wise Re-ranking with LLMs and More!

Comprehensive Survey of Retrieval-Augmented LLMs, A benchmark for RAG Evaluations, and More!

Fast Exact Retrieval for Nearest-neighbor Lookup, The Arctic-Embed Text Embedding Models, and More!

A Comprehensive Survey on Generative Search and Recommendation, Teaching LLMs to Selectively Leverage IR, and More!

A Comprehensive Survey of Generative Information Retrieval, Improving RAG Performance through Caching, and More!

A Systematic Survey of Retrieval-Augmented Generation Techniques, RAG-Powered Workflow Generation, and More!

LLM-Augmented Retrieval, Enhancing Pre-Trained Embeddings through Contrastive Refinement, and More!

Efficient Multi-Vector Dense Retrieval with Bit Vectors, Injecting Recommendation Knowledge into LLMs, and More!

Scaling Laws of Dense Retrieval Models, Mamba vs Transformers for Document Ranking, and More!

Comparing Cross-Encoder and LLM Rerankers, Query Complexity-Driven Adaptation of Retrieval-Augmented Language Models, and More!

Deconstructing Cosine Similarity for Embedding Analysis, Optimizing Retrieval-Augmented Models, and More!

Advancing Retrieval-Augmented Language Models, Fine Tuning vs. RAG for Less Popular Knowledge, and More!

Improving Text Embeddings from LLMs, Industrial-Scale Recommendations via Generative Modeling, and More!

A Toolkit for Constructing and Evaluating Medical RAG Systems, Optimizing Text Re-ranking in Budget-Constrained LLMs, and More!

Unleashing the Power of LLMs for E-Commerce, An LLM-Powered Collaborative Search Agent for Slack, and More!

Multi-Lingual, Multi-Functional, and Multi-Granular Text Embeddings, Improving Sequential Recommendations with LLMs and More!

Corrective Retrieval Augmentation for Robust Text Generation, Personalized Automatic Prompt Generation for Recommendation Models, and More!

A Comprehensive Survey of Retrieval-Based In-Context Learning, Accelerating Iterative Retrieval-Augmented LMs, and More!

Foundations of Vector Retrieval, Bridging the Preference Gap between Retrievers and LLMs, and More!

Prompting Engineering for LLM-powered Recommendations, Compressing User Histories for Enhanced Language Model Recommendation, and More!

Improving Text Embeddings with LLMs, A Unified Architecture for Fast and Accurate SKU Search in CRMs, and More!