2.2k citations · 4.2k across the 19 of their papers we have counts for
4 papers · 1 filter
Effective Large Language Model Debugging with Best-first Tree Search
Jialin Song, Jonathan Raiman, Bryan Catanzaro
Large Language Models (LLMs) show promise in code generation tasks. However, their code-writing abilities are often limited in scope: while they can successfully implement simple f…
CircuitVAE: Efficient and Scalable Latent Circuit Optimization
Jialin Song, Aidan Swope, Robert Kirby +4
Automatically designing fast and space-efficient digital circuits is challenging because circuits are discrete, must exactly implement the desired logic, and are costly to simulate…
AI Royalties -- an IP Framework to Compensate Artists & IP Holders for AI-Generated Content
Pablo Ducru, Jonathan Raiman, Ronaldo Lemos +6
This article investigates how AI-generated content can disrupt central revenue streams of the creative industries, in particular the collection of dividends from intellectual prope…
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
Chankyu Lee, Rajarshi Roy, Mengyao Xu +4
Decoder-only LLM-based embedding models are beginning to outperform BERT or T5-based embedding models in general-purpose text embedding tasks, including dense vector-based retrieva…