🦉 Qwen - emschwartz · Scour

Distilling Game Code World Model Generation into Lightweight Large Language Models 🪄Prompt Engineering

Dense vs MoE Models Explained 📊Model Serving Economics

engineersmeetai.substack.com·2d·Substack

feers77/iasql: A new implementation of SQL for IA purposes, using postgresSQL and Karpathy wiki-llm as inspiration. 🐘PostgreSQL

github.com·4d·Hacker News

How Reliable Are AI Attackers Against a Fixed Vulnerable Target? A 400-Run Empirical Study of LLM Penetration Testing Consistency 🛡️AI Security

MarginGate: Sparse Margin-Triggered Verification for Batch-Invariant LLM Inference 🧠LLM Inference

Learning the Error Patterns of Language Models 🧠LLM Inference

ESPO: Early-Stopping Proximal Policy Optimization 🎰Bandit Algorithms

Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders 🧠LLM Inference

RightNow-Arabic-0.5B-Turbo: An Open Sub-1B Arabic Language Model via Vocabulary Injection and Edge-First Deployment 🔤Tokenization

The Constraint Tax: Measuring Validity-Correctness Tradeoffs in Structured Outputs for Small Language Models 🔤Tokenization

When Mean CE Fails: Median CE Can Better Track Language Model Quality 🎖Text Quality Models

CONCAT: Consensus- and Confidence-Driven Ad Hoc Teaming for Efficient LLM-Based Multi-Agent Systems 🤝Multi-Agent Orchestration

MGRetrieval: Memory-Guided Reflective Retrieval for Long-Term Dialogue Agents 🧠Agent Memory

On-Policy Replay for Continual Supervised Fine-Tuning 🧠LLM Inference

StepGap: A Hybrid NLI-LLM Checker for Step-Level Evidence-Gap Detectionin Multi-Hop Question Answering 🔄LLM RAG Pipelines

Semantic Flow Regularization: Teaching LLMs to Generate Diverse Yet Coherent Responses 🏆LLM Benchmarking

SERC: LDPC-Inspired Semantic Error Correction for Retrieval-Augmented Generation 🕸️Sparse Vectors

Mechanistic origins of catastrophic forgetting: why RL preserves circuits better than SFT? 🧠LLM Inference

Asking Is Not Enough: Protocol Sensitivity in LLM Confidence Calibration 🏆LLM Benchmarking

An Effective-Rank Audit of Alignment-Induced Activation Shifts: Confound Control, Constructive Calibration, and Limits 🛡️AI Safety

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