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โš™๏ธ Compression Benchmarking

Algorithm Comparison, Speed vs Ratio, Corpus Testing, Performance Metrics

Advanced PDF Optimization Techniques - 1752612
dev.toยท12hยท
Discuss: DEV
๐Ÿ“Text Compression
Benchmarking AWS Nova on Log Data: How It Compares to ChatGPT-3.5
bronto.ioยท17hยท
Discuss: Hacker News
๐Ÿ“Log Parsing
PLEX: Perturbation-free Local Explanations for LLM-Based Text Classification
arxiv.orgยท4h
๐Ÿ’ปLocal LLMs
Evaluating Image Compression Tools
rachelplusplus.me.ukยท3dยท
Discuss: Hacker News
๐Ÿ“ŠRate-Distortion Theory
maxsim-cpu: Maximising Maxsim Efficiency
mixedbread.comยท1dยท
Discuss: Hacker News
๐ŸŒŠStreaming Algorithms
Compressed data structures for Heegaard splittings
arxiv.orgยท4h
๐Ÿ•ณ๏ธPersistent Homology
What can we expect of LLMs as Software Engineers?
chelseatroy.comยท1d
๐Ÿ“Text Parsing
Categorical Features: The Backbone of Search & Recs Engineering
shaped.aiยท1d
๐Ÿง Learned Indexing
Enabling Rapid Genomic Analysis with Illumina Dragen on Amazon EC2 F2 Instances
aws.amazon.comยท10hยท
Discuss: Hacker News
๐Ÿค–Archive Automation
News for June 2025
ptreview.sublinear.infoยท2d
๐Ÿ•ธ๏ธGraph Algorithms
Show HN: Context Rot Technical Report โ€“ How Input Length Impacts LLM Performance
research.trychroma.comยท1dยท
Discuss: Lobsters, Hacker News
๐Ÿ”Information Retrieval
From Equal Weights to Smart Weights: OTPOโ€™s Approach to Better LLM Alignment
towardsdatascience.comยท15h
๐ŸงฎKolmogorov Bounds
Students, here are 5 key things to know when learning how to train large language models
techradar.comยท15h
๐Ÿ’ปLocal LLMs
COLI: A Hierarchical Efficient Compressor for Large Images
arxiv.orgยท4h
๐Ÿง Neural Compression
Machine Learning Fundamentals: data preprocessing project
dev.toยท2dยท
Discuss: DEV
โš™๏ธBatch Processing
Class-Proportional Coreset Selection for Difficulty-Separable Data
arxiv.orgยท4h
๐Ÿง Machine Learning
Fine-tuning Large Language Model for Automated Algorithm Design
arxiv.orgยท4h
๐Ÿ”จCompilers
New Benchmark suite for analytical DBs using real-world SQL queries
github.comยท15hยท
Discuss: Hacker News
๐Ÿ“Database WAL
[R] Interesting paper on cost-aware prompt optimization (CAPO)
reddit.comยท2hยท
Discuss: r/MachineLearning
๐Ÿ—๏ธCompiler Archaeology
Language Models for Adult Service Website Text Analysis
arxiv.orgยท4h
๐Ÿ“Text Parsing
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