VerfCNN, Optimal Complexity zkSNARK for Convolutional Neural Networks
eprint.iacr.org·1d
🗺️Region Inference
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Understanding Hardness of Vision-Language Compositionality from A Token-level Causal Lens
arxiv.org·1d
📋S-Expression
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IPAB Workshop - 6/11/25
informatics.ed.ac.uk·1d
🎯Finite Automata
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ReForm: Reflective Autoformalization with Prospective Bounded Sequence Optimization
arxiv.org·3d
Partial Evaluation
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Language Models are Injective and Hence Invertible - GLADIA Research
arxiv.org·3d
🔍ML Language
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Automatic network structure discovery of physics informed neural networks via knowledge distillation
nature.com·3d
📡Async Channels
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StreetMath: Study of LLMs' Approximation Behaviors
arxiv.org·1d
🌱Minimal ML
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Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism
arxiv.org·1d
🧠Memory Ordering
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Testing Cross-Lingual Text Comprehension In LLMs Using Next Sentence Prediction
arxiv.org·2d
📊LR Parsing
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TinyML is the most impressive piece of software you can run on any ESP32
xda-developers.com·22h
💬Smalltalk VMs
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A Minimal Route to Transformer Attention
neelsomaniblog.com·2d·
Discuss: Hacker News
🚀Tokenizer Performance
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The Kinetics of Reasoning: How Chain-of-Thought Shapes Learning in Transformers?
arxiv.org·1d
🗺️Region Inference
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QeRL: Beyond Efficiency -- Quantization-enhanced Reinforcement Learning for LLMs
paperium.net·1d·
Discuss: DEV
Tokenizer Optimization
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Introducing Project Telos: Modeling, Measuring, and Intervening on Goal-directed Behavior in AI Systems
lesswrong.com·23h
🎭Erlang OTP
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Thought Engineering
pranavc28.github.io·1d·
Discuss: Hacker News
Type Checking
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How LLMs Really Think: The Guess Refine Framework
dev.to·2d·
Discuss: DEV
🗺️Region Inference
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Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning
arxiv.org·1d
🗺️Region Inference
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**Automated Malware Classification using LSTM and Naive Baye
dev.to·7h·
Discuss: DEV
⚖️Weighted Automata
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Building an Intelligent RAG System with Query Routing, Validation and Self-Correction
dev.to·19h·
Discuss: DEV
💬Interactive REPLs
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RS-ORT: A Reduced-Space Branch-and-Bound Algorithm for Optimal Regression Trees
arxiv.org·3d
🌱Minimal ML
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