Aligning LLMs employs Reinforcement Learning from Human Feedback (RLHF), which trains reward functions based ... achieving superior performance through efficient alignment with human preferences and ...

🦉 OWL is a cutting-edge framework for multi-agent collaboration that pushes the boundaries of task automation, built on top of the CAMEL-AI Framework. Our vision is to revolutionize how AI agents ...

Explore how multiple AI agents collaborate, compete, and solve tasks using MetaGPT and multi-agent frameworks.

In this paper, we proposed a novel Augmentation-free Dynamic Contrastive Multi-task Transformer (ADCMT) for UGC-VQA. Specifically, the primary task of quality score regression and another auxiliary ...

To make better use of given limited labels, we propose a novel object detection approach that takes advantage of both multi-task learning (MTL) and self-supervised learning (SSL). We propose a set of ...

OpenAI’s most advanced AI coding agent, Codex, will bring parallel task automation to developers—but analysts caution that speed without scrutiny invites “silent failures.” ...

New research from Bayes Business School suggests the inclusion of more than one correct response in multiple-choice ...

Codex can work on multiple tasks at once, such as writing code, fixing bugs, answering technical questions and even creating ...

This aspect poses a challenge in identifying the unknown interference signals under the d-set assumption. To tackle this issue, this paper proposes a multi-task learning-enabled WII (MTL-WII) ...

Shenzhen, May. 20, 2025/--MicroAlgo Inc. (the 'Company' or 'MicroAlgo') (NASDAQ: MLGO), announced that quantum algorithms will be deeply integrated with machine learning to explore practical ...

These robots don't break into a jig or jump, but their ability to do single tasks cheaply and efficiently is attracting ...