Summary of Large Language Models Are Neurosymbolic Reasoners, by Meng Fang et al.
Large Language Models Are Neurosymbolic Reasonersby Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling…
Large Language Models Are Neurosymbolic Reasonersby Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling…
A Survey on the Applications of Frontier AI, Foundation Models, and Large Language Models to…
Large language models in healthcare and medical domain: A reviewby Zabir Al Nazi, Wei PengFirst…
TeleChat Technical Reportby Zhongjiang He, Zihan Wang, Xinzhang Liu, Shixuan Liu, Yitong Yao, Yuyao Huang,…
Generalist embedding models are better at short-context clinical semantic search than specialized embedding modelsby Jean-Baptiste…
Co-guiding for Multi-intent Spoken Language Understandingby Bowen Xing, Ivor W. TsangFirst submitted to arxiv on:…
DynaGRAG | Exploring the Topology of Information for Advancing Language Understanding and Generation in Graph…
An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning…
Pipeline Analysis for Developing Instruct LLMs in Low-Resource Languages: A Case Study on Basqueby Ander…
Lightweight Safety Classification Using Pruned Language Modelsby Mason Sawtell, Tula Masterman, Sandi Besen, Jim BrownFirst…