🔍 Parsing Algorithms - abnv · Scour

Finding the Cracks: Improving LLMs Reasoning with Paraphrastic Probing and Consistency Verification

arxiv.org·1d

🧩SAT Solvers

PromptもFine-tuningも不要なLLM出力言語の制御手法｜はち

note.com·2d

💬Interactive REPLs

AgentRE-Bench: Can LLM Agents Reverse Engineer Malware?

agentre-bench.ai·10h·

Discuss: Hacker News

📜Bytecode Interpreters

Turn natural language into E2E web app tests using AI

agenqa.com·1d·

Discuss: Hacker News

🧪Parser Testing

Department of Computer Science and Technology – Course pages 2017–18: Computation Theory

cl.cam.ac.uk·2h

🔬programming language theory

Show HN: Orangensaft – A mini Python-like language with LLM eval in lang runtime

github.com·1d·

Discuss: Hacker News

⚡Incremental Parsing

Category Theory, AI and Jobs

deadneurons.substack.com·23h·

Discuss: Substack

🔍ML Language

high error rate in text-embedding-3-small

status.openai.com·1d

🧪Parser Testing

Trust: LLMs as Compilers

mechanicalorchard.substack.com·28m·

Discuss: Substack

🎨Domain-Specific Languages

N-Grams and Other Experiments

dotterrer.bearblog.dev·2d

How to Leverage NER and Advanced NLP Techniques for Life Sciences

pub.towardsai.net

·2d

🧠Semantic Parsing

Why LLMs Will Always Need An Expert In The Loop

codemanship.wordpress.com·4h

📐Standard ML

AI-Powered Knowledge Graph Generator & APTs, (Thu, Feb 12th)

isc.sans.edu·1d

🧠Semantic Parsing

Building an AI Proposal Pipeline: From Call Transcripts to Branded Web Pages with Python and Supabase

dev.to·13h·

Discuss: DEV

🔄Subinterpreters

The Fastest Way to Prototype Agents: Declare the “What,” Let ADK Run the “How”

hackernoon.com·12h

🎭Program Synthesis

A History of Large Language Models

gregorygundersen.com·2d

🪜Recursive Descent

Grogu Demonstrates 18.2 Point Gains In RAG Performance With LLM Metrics

quantumzeitgeist.com·3d

🔤Language Tokenizers

8 Standards for Shipping Production LLM Features

teotti.com·1d·

Discuss: Hacker News

🎮Language Ergonomics

Llama-Polya: Instruction Tuning for Large Language Model based on Polya's Problem-solving

arxiv.org·2d

🪜Recursive Descent

ta.fo·15h

💬REPL Design

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