Association of College & Research Libraries (ACRL)

Teaching Information Literacy by Discipline: Using and Creating Adaptations of the Framework

ACRL announces the publication of Teaching Information Literacy by Discipline: Using and Creating Adaptations of the ...
IEEE

A Digital Twin Framework With Bayesian Optimization and Deep Learning for Semiconductor Process Control

Abstract: This paper introduces an intelligent optimization framework that integrates Digital Twin (DT) technology, deep learning, and a tailored Multi-Restart Bayesian Optimization with Random ...

Leading For Results: A Leadership Framework That Empowers Growth

As a leader, I make it clear that my goal is to guide and empower, not control. Control builds walls. Great leadership builds ...
GitHub

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

We propose TraceRL, a trajectory-aware reinforcement learning method for diffusion language models, which demonstrates the best performance among RL approaches for DLMs. We also introduce a ...
C&EN

Multiview Deep Learning Framework for Precise Prediction of Transcription Factor Binding Sites

Key Laboratory of Micro-nano Sensing and IoT of Wenzhou, Wenzhou Institute of Hangzhou Dianzi University, Wenzhou 325038, China School of Computer Science, Hangzhou Dianzi University, Hangzhou 310018, ...
IEEE

Partial Annotation Learning for Biomedical Entity Recognition

Abstract: Named Entity Recognition (NER) is a key task to support biomedical research. In Biomedical Named Entity Recognition (BioNER), obtaining high-quality expert annotated data is laborious and ...
VentureBeat

This new framework lets LLM agents learn from experience, no fine-tuning required

A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...