Microsoft AI (Artificial Intelligence) is looking for a Senior Principal Applied Scientist with expertise in fields like Machine Learning, Reinforcement Learning, Causal Inference, Large Language Models, Natural Language Processing (NLP), Natural Language Gene... See details Senior Applied Scientist ...
A representative evaluation benchmark for MLLMs. ✨ 🔥🔥🔥Woodpecker: Hallucination Correction for Multimodal Large Language Models Paper|GitHub This is the first work to correct hallucination in multimodal large language models. ✨ 🔥🔥🔥Freeze-Omni: A Smart and Low Latency Speech-to-s...
Large language models (LLMs) are artificial intelligence (AI) tools specifically trained to process and generate text. LLMs attracted substantial public attention after OpenAI’s ChatGPT was made publicly available in November 2022. LLMs can often answer
Awesome papers about generative Information extraction using LLMs The organization of papers is discussed in our survey: Large Language Models for Generative Information Extraction: A Survey. If you find any relevant academic papers that have not been included in our research, please submit a request...
Until a year or two back, LLMs were limited to research labs and tech demos at AI conferences. Now, they're powering countless apps and chatbots, and there are hundreds of different models available that you can run yourself (if you have the computer skills). How did we get here?
“reactive architectures” in agent-based simulations, which instead rely primarily on direct sense-action loops rather than complex internal models of the world or deep reasoning processes to make decisions. The subsequent development of AI, especially deep learning technology, does not fundamentally ...
(https://openai.com/research/language-models-can-explain-neurons-in-language-models) Suggestions of additional experiments. The model can be leveraged to identify the “gaps’’ in the training data, in the form of cell types, or molecular layers, or even individuals of specific genetic back...
Large language models (LLMs) have been recently leveraged as training data generators for various natural language processing (NLP) tasks. While previous research has explored different approaches to training models using generated data, they generally rely on simple class-conditional prompts, which may...
📑Papers DateInstitutePublicationPaper 21.07Google ResearchACL2022Deduplicating Training Data Makes Language Models Better 22.04AnthropicarxivTraining a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback 📖Tutorials, Articles, Presentations and Talks ...
ActionSearching Tools[2024/05] Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository. Deshpande et al. arXiv. [paper] [2024/04] LLM Agents can Autonomously Exploit One-day Vulnerabilities. Fang et al. arXiv. [paper] [2024/03] AutoDev: ...