Character Classification, SMT Integration, Automated Reasoning, Constraint Programming

Challenge: Improve Multilingual ASR Performance for Mozilla
community.mozilladatacollective.com·1d·
Discuss: Hacker News
🎙️Whisper
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Cracking XLoader with AI: How Generative Models Accelerate Malware Analysis
blog.checkpoint.com·1d
🦠Malware Analysis
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The 6-Step Guide to Acing Your Coding Interview
yasminteles.com·1h·
Discuss: Hacker News
Proof Automation
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The Evolution from RAG to Agentic RAG to Agent Memory
leoniemonigatti.com·2h·
Discuss: Hacker News
💾Persistence Strategies
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are-dependent-types-actually-erased
chadnauseam.com·1d·
Discuss: Hacker News
🎯Dependent Types
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MambaNetLK: Enhancing Colonoscopy Point Cloud Registration with Mamba
arxiv.org·9h
🕳️Persistent Homology
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Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail
arxiv.org·9h
⚖️Hoare Logic
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Benchmarking Generative AI Against Bayesian Optimization for Constrained Multi-Objective Inverse Design
arxiv.org·9h
🧮Constraint Solvers
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The Hardest Problem in AI: Human Context
dev.to·8h·
Discuss: DEV
🧠Intelligence Compression
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Fast Answering Pattern-Constrained Reachability Queries with Two-Dimensional Reachability Index
arxiv.org·9h
🌸Bloom Filters
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Generating Application Specific Go Documentation Using Go AST and Antora
dev.to·2h·
Discuss: DEV
🦀Rust Macros
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ClipTagger-12B VLM: Frame Captioning Tutorial
dev.to·1d·
Discuss: DEV
🎬WebCodecs API
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CompAgent: An Agentic Framework for Visual Compliance Verification
arxiv.org·9h
🤖Advanced OCR
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Reasoning Models Sometimes Output Illegible Chains of Thought
arxiv.org·1d
🧠Intelligence Compression
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LLM-Centric RAG with Multi-Granular Indexing and Confidence Constraints
arxiv.org·1d
🧠Learned Indexing
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Surfacing Subtle Stereotypes: A Multilingual, Debate-Oriented Evaluation of Modern LLMs
arxiv.org·9h
🏛Digital humanities
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ScaleCall - Agentic Tool Calling at Scale for Fintech: Challenges, Methods, and Deployment Insights
arxiv.org·9h
🌀Brotli Internals
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MISA: Memory-Efficient LLMs Optimization with Module-wise Importance Sampling
arxiv.org·9h
💻Local LLMs
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