Joshua Berkowitz OPTIC: A Novel Machine Learning Approach to Reducing Physician Burden in Digital Communication With the rapid adoption of telemedicine and patient messaging systems, healthcare providers are facing unprecedented workloads. The study O PTIC: Optimizing Patient-Provider Triaging & Improving Commu... Computer Science Medicine
Joshua Berkowitz Training and Evaluating LLMs on Program Execution Traces The research paper "What I Cannot Execute, I Do Not Understand: Training and Evaluating LLMs on Program Execution Traces" investigates enhancing large language models' (LLMs) code generation and under... Artificial Intelligence Computer Science
Joshua Berkowitz Using Artificial Intelligence to Improve Classroom Learning Experience This paper by Shadeeb Hossain explores how Artificial Intelligence (AI) can enhance classroom learning by identifying students' learning preferences and predicting academic dropout risk. The study emp... Artificial Intelligence Computer Science
Joshua Berkowitz Alibaba Research Releases Animate Anyone 2: An Improved Character Animator with Environment Integration Using Diffusion Anyone 2 can produce high-fidelity results that seamlessly integrate characters with the surrounding environment. Just released research from Alibaba group reviews progress in Animate Anyone 2. AA2 ma... Computer Science
Joshua Berkowitz UC Berkley Research How Coin Flips Help LLMs Think Like Bayesian Statisticians This research from UC Berkley investigates whether large language models (LLMs) utilize in-context learning (ICL) to perform structured reasoning consistent with Bayesian inference or rely on pattern ... Computer Science
Joshua Berkowitz Streaming Text to Speech for Any LLM This research introduces LLMVoX , a lightweight, autoregressive streaming Text-to-Speech (TTS) model designed to generate high-quality speech with minimal latency. The model preserves original large l... Computer Science
Joshua Berkowitz Information Scaling Law for Long-Context Language Modeling The recent study titled "L²M: Mutual Information Scaling Law for Long-Context Language Modeling" introduces a pivotal advancement in understanding how language models can effectively manage long-range... Computer Science
Joshua Berkowitz Stanford Research Introduces Octo Tools: Easily Extensible Tool Based Open Source Agent Framework Figure 1. The framework of OctoTools. (1) Tool cards define tool-usage metadata and encapsulate tools, enabling training-free integration of new tools without additional training or framework refineme... Computer Science
Joshua Berkowitz Powering Scientific Discovery with Ai : Google A.I. Co-Scientist released to Trusted Tester Access Scientific research is propelled forward by creative thinking and scientific experience, well it used to be. Now as we move deeper into the age of AI it is becoming evident that we will see Ai transfo... Computer Science
Joshua Berkowitz Penn State & Google Research Propose Chain of Agents: Model and Length Agnostic Query Processing There are significant challenges in LLMs to produce accurate information retrieval and reasoning for very long inputs such as textbooks and research papers. Popular LLMs suffer from hallucinations and... Computer Science
Joshua Berkowitz Harvard Research Releases QuArch: A Q&A For AI Agents to Improve Computer Architecture Understanding A Harvard team recently published progress on QuArch , a dataset comprising 1,500 human-validated question-answer pairs designed to evaluate and enhance language models' understanding of computer arch... Computer Science
Joshua Berkowitz Harvard Completes 100 years of Astronomical Data Archive: Enabling New A.I. Research Into the Stars Ever wonder what you should do with old pictures? Perhaps you digitized them and then stuck them on a hard drive somewhere only to be forgotten? Well if you are the Harvard College Observatory you rea... Computer Science