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🔍 Information Retrieval

TF-IDF, BM25, Query Expansion, Relevance Feedback, Result Ranking

Balancing Semantic Relevance and Engagement in Related Video Recommendations
arxiv.org·20h
⚖️Feed Ranking
Categorical Features: The Backbone of Search & Recs Engineering
shaped.ai·1d
🧠Learned Indexing
Show HN: Context Rot Technical Report – How Input Length Impacts LLM Performance
research.trychroma.com·1d·
Discuss: Lobsters, Hacker News
🌳Context free grammars
🎯 Building Attention Mechanisms from Scratch: A Complete Guide to Understanding Transformers
dev.to·1d·
Discuss: DEV
📊Learned Metrics
Students, here are 5 key things to know when learning how to train large language models
techradar.com·6h
💻Local LLMs
Overview of the TREC 2023 deep learning track
arxiv.org·20h
🧮Vector Embeddings
Text-to-Remote-Sensing-Image Retrieval beyond RGB Sources
arxiv.org·20h
📸TIFF Archaeology
CompassJudger-2: Towards Generalist Judge Model via Verifiable Rewards
arxiv.org·20h
📊Learned Metrics
Topical Authority: A Guide to SEO in the Age of AI (GEO)
tryzenith.ai·1d·
Discuss: Hacker News
📊Feed Optimization
New Benchmark suite for analytical DBs using real-world SQL queries
github.com·7h·
Discuss: Hacker News
📝Database WAL
A New Breed of Chatbots Are Quietly Changing Product Management
hackernoon.com·1d
🌀Brotli Internals
KG-Attention: Knowledge Graph-Guided Attention at Test-Time via Bidirectional Information Aggregation
arxiv.org·1d
🧠Intelligence Compression
From Equal Weights to Smart Weights: OTPO’s Approach to Better LLM Alignment
towardsdatascience.com·7h
🧮Kolmogorov Bounds
What can we expect of LLMs as Software Engineers?
chelseatroy.com·1d
📝Text Parsing
S2SRec2: Set-to-Set Recommendation for Basket Completion with Recipe
arxiv.org·20h
🧭Content Discovery
Translation using deep neural networks – Transformer
aamster.github.io·1d·
Discuss: Hacker News
🧠Neural Codecs
Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series
arxiv.org·20h
🧠Machine Learning
The Bayesian Approach to Continual Learning: An Overview
arxiv.org·20h
🧠Machine Learning
CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews
arxiv.org·20h
🕵️Metadata Mining
Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale
arxiv.org·20h
📋Document Grammar
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