How Retrieval Algorithms Shape Better LLM Responses?
dev.to·10h·
Discuss: DEV
🔍Information Retrieval
TRIM: Accelerating High-Dimensional Vector Similarity Search with Enhanced Triangle-Inequality-Based Pruning
arxiv.org·6h
🗂️Vector Databases
Learning ON Large Datasets Using Bit-String Trees
arxiv.org·6h
🗂️Vector Databases
How Tensors Are Changing Search in Life Sciences
thenewstack.io·18h
🗂️Vector Search
Test-Time Scaling Strategies for Generative Retrieval in Multimodal Conversational Recommendations
arxiv.org·6h
🔍Information Retrieval
Effective Clustering for Large Multi-Relational Graphs
arxiv.org·6h
🌊Spectral Clustering
k-NN Classification and Model Evaluation
dev.to·3h·
Discuss: DEV
🧠Machine Learning
Semantic Embedding in RAG: why close vectors still miss meaning and how to fix it
dev.to·5h·
Discuss: DEV
🗂️Vector Databases
THEME : Enhancing Thematic Investing with Semantic Stock Representations and Temporal Dynamics
arxiv.org·6h
🔍Information Retrieval
[P] aligning non-linear features with your data distribution
reddit.com·1d·
Discuss: r/MachineLearning
🧠Machine Learning
MMTok: Multimodal Coverage Maximization for Efficient Inference of VLMs
arxiv.org·6h
🧮Kolmogorov Complexity
Feature-Refined Unsupervised Model for Loanword Detection
arxiv.org·6h
📏Manuscript Metrics
UMATO: Bridging Local and Global Structures for Reliable Visual Analytics with Dimensionality Reduction
arxiv.org·1d
🌀Differential Geometry
Disentangling Polysemantic Neurons with a Null-Calibrated Polysemanticity Index and Causal Patch Interventions
arxiv.org·6h
🔍Vector Forensics
Hierarchical Contextual Grounding LVLM: Enhancing Fine-Grained Visual-Language Understanding with Robust Grounding
arxiv.org·6h
🤖Advanced OCR
Evaluating Retrieval-Augmented Generation Strategies for Large Language Models in Travel Mode Choice Prediction
arxiv.org·6h
🧠Machine Learning
Limits of message passing for node classification: How class-bottlenecks restrict signal-to-noise ratio
arxiv.org·6h
⧗Information Bottleneck
Understanding Convolutions: The Sliding Window of Insight
dev.to·1d·
Discuss: DEV
🧠Machine Learning
QueryBandits for Hallucination Mitigation: Exploiting Semantic Features for No-Regret Rewriting
arxiv.org·6h
🌀Brotli Internals
CEIDM: A Controlled Entity and Interaction Diffusion Model for Enhanced Text-to-Image Generation
arxiv.org·6h
🏛Digital humanities