Top Information Retrieval Papers of the Week

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Sitemap - 2024 - Top Information Retrieval Papers of the Week

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!

© 2024 Sumit Kumar
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