Explore advancements in state of the art machine learning research in speech and natural language, privacy, computer vision, health, and more.
In light of these gaps, we pose the following research question: RQ1: What is the prevalence of interdisciplinary research among early-career scientists? To address RQ1, our analysis focuses on examining the temporal evolution of the interdisciplinarity indicator and its distributions across five ...
python django ai openai question-answering summarization research-tool arxiv research-paper arxiv-papers gpt3 summarization-platform llm chatgpt langchain summarizepaper Updated Apr 23, 2023 Python NBISweden / MrBayes Star 234 Code Issues Pull requests MrBayes is a program for Bayesian inference...
Qualtrics is the top choice for enterprise-level surveys. It offers advanced features such as custom survey flows, extensive question types, and powerful analytics. The platform is well-suited for large-scale research projects where the ability to segment data and perform complex analyses is crucial...
Surface characteristics of the reviewed studies were analyzed usingdescriptive statistics. For the synthesis of findings in relation to our first research question, which focused on the characteristics of teachers' beliefs' about creativity, we applied mixed-coding strategy with some pre-defined concepts...
Our line of work with the Phi models aims to answer this question by training SLMs that achieve performance on par with models of much higher scale (yet still far from the frontier models). Our key insights for breaking the conventional language model scaling laws with Phi-2 are twofold: ...
Our model achieves significant improvements on nine benchmarks, including paragraph-to-video retrieval, long-form video question-answering, and action recognition tasks. In the future, we will explore using it for broader scenarios, such as ego-centric video understanding. Read the paper Download ...
TeamDNA: Productivity-enhancing Tools for Diverse and Distributed Teams In this project, we are inspired by the question: what are the fundamental elements that impact team productivity?, for example, what constitutes the “DNA of team productivity?” Due to the necessity and prevalence of teamwork...
Figure 1. AutoGen enables complex LLM-based workflows using multi-agent conversations. (Left) AutoGen agents are customizable and can be based on LLMs, tools, humans, and even a combination of them. (Top-right) Agents can converse to solve tasks. (Bottom-right) The framework su...
In October, researchers collaborating with Azure Cognitive Services created VIVO (Visual Vocabulary Pretraining), which resulted in a framework for novel object captioning that achieved state of the art and even surpassed human performance on the novel object captioning (nocaps) benchmark....