Memory Retrieval and Consolidation in Large Language Models through Function Tokens
arxiv.org·18h
💻Programming languages
AI as both authors and reviewers of research papers
openreview.net·1d·
Discuss: Hacker News
🔲Cellular Automata
RND1: Simple, Scalable AR-to-Diffusion Conversion
radicalnumerics.ai·1d·
Discuss: Hacker News
💻Local LLMs
Self-Improving LLM Agents at Test-Time
arxiv.org·18h
🧠Intelligence Compression
Contrastive Weak-to-strong Generalization
arxiv.org·18h
⧗Information Bottleneck
[R] How to retrieve instructions given to annotators - RLHF
reddit.com·14h·
Discuss: r/MachineLearning
📚Documentation Archaeology
On the Relationship Between the Choice of Representation and In-Context Learning
arxiv.org·18h
📊Learned Metrics
LINQ and Learning to Be Declarative
nickstambaugh.dev·1d·
Discuss: Hacker News
🔗Concatenative Programming
Characteristic Learning for Provable One Step Generation
arxiv.org·3d
📊Learned Metrics
I built a translator for spatial thinking (because I can't interview in Python)
graemefawcett.ca·3h·
Discuss: Hacker News
🔗Concatenative Programming
LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
arxiv.org·18h
🔗Parser Combinators
BQN "Macros" with •Decompose (2023)
saltysylvi.github.io·49m·
Discuss: Hacker News
🦀Rust Macros
Type and Complexity Signals in Multilingual Question Representations
arxiv.org·1d
🤖Automated Parsing
Show HN: Using an LLM to sensibly sort a shopping receipt
treblig.org·1d·
Discuss: Hacker News
🔗Constraint Handling
Why LLMs cannot reach GenAI, but why it looked like they could
haversine.substack.com·41m·
Discuss: Substack
🧠Intelligence Compression
Aligning Large Language Models via Fully Self-Synthetic Data
arxiv.org·1d
🔗Monadic Parsing
100 Poisoned Examples Can Hijack Any AI Model (Even GPT-4-Scale LLMs)
dev.to·1d·
Discuss: DEV
⚡Proof Automation
Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
arxiv.org·1d
🧠Learned Indexes
Building Self-Correcting Database Agents with Meta's Llama-4-Scout: From Natural Language to SQL Insights
dev.to·1d·
Discuss: DEV
🗄️Database Internals
Reviving Lost Tongues: AI-Powered Grammar for Language Preservation
dev.to·2d·
Discuss: DEV
🌳Context free grammars