GitHub

Multimodal Understanding and Generation via Instruction Tuning

🔥 Core Discovery: Visual generation capability naturally arises from understanding! With just 200K samples + co-training, LLMs can be taught to generate visual embeddings without extensive ...
GitHub

circuit-synth

What is Code-Based Circuit Design? Circuit-synth brings software engineering practices to hardware design by letting you define circuits in Python code instead of ...
ZDNet

OpenAI's new Spark model codes 15x faster than GPT-5.3-Codex - but there's a catch

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...
IEEE

Model-Agnostic Empirical Evaluation of Test-Driven Prompt Engineering on Improving Accuracy and Efficiency in Large Language Models Python Code Generation

Abstract: Although Large Language Models (LLMs) are widely adopted for code generation, the generated code can be semantically incorrect, requiring iterations of evaluation and refinement. Test-driven ...
IEEE

Fuzzy-Assisted Contrastive Decoding Improving Code Generation of Large Language Models

Abstract: Large language models (LLMs) play a crucial role in intelligent code generation tasks. Most existing work focuses on pretraining or fine-tuning specialized code LLMs, e.g., CodeLlama.