CALM: Credit Assignment with Language Models for Automated Reward Shaping in Reinforcement Learning
Reinforcement Learning (RL) is a critical area of ML that allows agents to learn from their interactions within an environment…
Category: News
AI model can reveal the structures of crystalline materials | MIT News
For more than 100 years, scientists have been using X-ray crystallography to determine the structure of crystalline materials such as…
Language Models Reinforce Dialect Discrimination – The Berkeley Artificial Intelligence Research Blog
Sample language model responses to different varieties of English and native speaker reactions. ChatGPT does amazingly well at communicating with…
MMSearch Engine: AI Search with Advanced Multimodal Capabilities to Accurately Process and Integrate Text and Visual Queries for Enhanced Search Results
Traditional search engines have predominantly relied on text-based queries, limiting their ability to process and interpret the increasingly complex information…
New AI JetPack accelerates the entrepreneurial process | MIT News
Apple co-founder Steve Jobs described the computer as a bicycle for the mind. What the Martin Trust Center for MIT Entrepreneurship just launched…
DFDG: Enhancing One-Shot Federated Learning with Data-Free Dual Generators for Improved Model Performance and Reduced Data Overlap
Data-Free Knowledge Distillation (DFKD) methods transfer knowledge from teacher to student models without real data, using synthetic data generation. Non-adversarial…
Enhancing LLM collaboration for smarter, more efficient solutions | MIT News
Ever been asked a question you only knew part of the answer to? To give a more informed response, your…
Rethinking LLM Training: The Promise of Inverse Reinforcement Learning Techniques
Large language models (LLMs) have gained significant attention in the field of artificial intelligence, primarily due to their ability to…
How to assess a general-purpose AI model’s reliability before it’s deployed | MIT News
Foundation models are massive deep-learning models that have been pretrained on an enormous amount of general-purpose, unlabeled data. They can…
Assessing the Capacity of Large Language Models to Generate Innovative Research Ideas: Insights from a Study with Over 100 NLP Experts
Research idea generation methods have evolved through techniques like iterative novelty boosting, multi-agent collaboration, and multi-module retrieval. These approaches aim…