🔍 Information Retrieval - rdksupe

Research Method Usage across Academic Ages in Library and Information Science: An Empirical Study (1990-2023)

📚RAG arXiv·

Ranking Companion: A Visual Analytics Approach to Item-Based Ranking with Hybrid Item Selection

🗄️Vector Databases GitHub·

chatstore – persistent chat history service for LLM apps, zero infrastructure

Discussed on DEV

✍️Prompt Engineering arXiv·

The Correct Answer Trap: Pedagogically-Grounded Detection and Feedback for Hidden Misconceptions

🧠Transformer Architecture arXiv·

Dual-Attention Convolution Experts for Sparse Tensor Completion

🔬Deep Learning arXiv·

The Pitfall of Scaling Up: Uncovering and Mitigating Popularity Bias Amplification in Scaling Transformer-based Recommenders

📚RAG arXiv·

When Rules Learn: A Self-Evolving Agent for Legal Case Retrieval

✍️Prompt Engineering arXiv·

The Token Tax of Epistemic Accuracy: Comparing RAG and Long-Context Architectures for Document-Grounded Generative AI Applications

📚RAG arXiv·

Non-negative Elastic Net Decoding for Information Retrieval

📚RAG arXiv·

Per-Entity Bias Mapping for AI Visibility: Why Brand Mentions Require Entity-Specific Calibration

⚙️MLOps arXiv·

From Complaint Narratives to Monetary Relief: A Hybrid Machine Learning Framework for CFPB Consumer Complaints

📚RAG arXiv·

Generative Engine Optimization at Scale: Measuring Brand Visibility Across AI Search Engines

🛡️AI Safety arXiv·

PrivacyAlign: Contextual Privacy Alignment for LLM Agents

🧠LLMs arXiv·

moBERTo: A Modern Encoder for Portuguese via Continued Pretraining of ModernBERT

🗄️Vector Databases arXiv·

MonaVec: A Training-Free Embedded Vector Search Kernel for Edge and Offline AI Systems

Covers Easy way to do both: async <-> sync (crates.io dump loading and parsing example)

🧠LLMs arXiv·

ARIA: A Causal-Aware Framework for Rescuing LLM Reasoning in Trustworthy Materials Discovery

📚RAG arXiv·

Understanding and Debugging Failures in N-Gram-Based Generative Retrieval

📊Machine Learning arXiv·

Memory Is No Longer a Bottleneck: Memory-Efficient Graph Filtering for Scalable Collaborative Filtering

🕸️Multi-Agent Systems arXiv·

PulseCX: Breaking the Closed-World Assumption in Real-Time CX

Research Method Usage across Academic Ages in Library and Information Science: An Empirical Study (1990-2023)

Ranking Companion: A Visual Analytics Approach to Item-Based Ranking with Hybrid Item Selection

chatstore – persistent chat history service for LLM apps, zero infrastructure

The Correct Answer Trap: Pedagogically-Grounded Detection and Feedback for Hidden Misconceptions

Dual-Attention Convolution Experts for Sparse Tensor Completion

The Pitfall of Scaling Up: Uncovering and Mitigating Popularity Bias Amplification in Scaling Transformer-based Recommenders

When Rules Learn: A Self-Evolving Agent for Legal Case Retrieval

The Token Tax of Epistemic Accuracy: Comparing RAG and Long-Context Architectures for Document-Grounded Generative AI Applications

Non-negative Elastic Net Decoding for Information Retrieval

Per-Entity Bias Mapping for AI Visibility: Why Brand Mentions Require Entity-Specific Calibration

From Complaint Narratives to Monetary Relief: A Hybrid Machine Learning Framework for CFPB Consumer Complaints

Generative Engine Optimization at Scale: Measuring Brand Visibility Across AI Search Engines

PrivacyAlign: Contextual Privacy Alignment for LLM Agents

moBERTo: A Modern Encoder for Portuguese via Continued Pretraining of ModernBERT

MonaVec: A Training-Free Embedded Vector Search Kernel for Edge and Offline AI Systems

ARIA: A Causal-Aware Framework for Rescuing LLM Reasoning in Trustworthy Materials Discovery

Understanding and Debugging Failures in N-Gram-Based Generative Retrieval

Memory Is No Longer a Bottleneck: Memory-Efficient Graph Filtering for Scalable Collaborative Filtering

EvoEmbedding: Evolvable Representations for Long-Context Retrieval and Agentic Memory