A Sanity Check on ‘Emergent Properties’ in Large Language Models | by Anna Rogers
LLMs are often said to have ‘emergent properties’. But what do we even mean by that, and what evidence do ...
Tag: language
Holistic Evaluation of Vision Language Models (VHELM): Extending the HELM Framework to VLMs
One of the most pressing challenges in evaluating vision-language models (VLMs) is related to the lack of comprehensive benchmarks that ...
Fast Stochastic Construction for Efficient Reinforcement Learning in Context on Large Language Models
Large language models (LLMs) have demonstrated impressive capabilities in in-context learning (ICL), a form of supervised learning that does not ...
GSM-symbolic: Understanding the limitations of mathematical reasoning in large language models
Recent advances in large language models (LLMs) have sparked interest in their formal reasoning capabilities, particularly in mathematics. The GSM8K ...
Archon: A machine learning framework for improving large language models using automated inference-time architecture search to improve task performance
artificial intelligence has made notable progress with the development of large language models (LLMs), which have significantly impacted several domains, ...
Contrasting Localized Language and Image Pretraining – Apple Machine Learning Research
Contrastive language and image pretraining (CLIP) has been a famous method for training vision encoders to generate image/text representations to ...
SQ-LLaVA: A New Visual Instruction Tuning Method That Improves General-Purpose Language and Vision Comprehension and Image-Oriented Question Answering Through Visual Self-Questioning
Large models of vision and language have emerged as powerful tools for multimodal understanding, demonstrating impressive capabilities for interpreting and ...
This machine learning reveals how large language model LLMs operate like Markov chains to unlock their hidden potential
Large language models (LLMs) have demonstrated remarkable capabilities in a wide range of natural language processing (NLP) tasks, such as ...
Sign language learning app Lingvano reaches milestone of 2.5 million students
VIENNA, AUSTRIA – Lingvano, a new sign language learning app, is excited to announce that it has reached 2.5 million ...
Optimizing Long Context Processing with Role-RL: A Reinforcement Learning Framework for Efficient Implementation of Large Language Models
Training large language models (LLMs) that can handle long context processing remains a difficult task due to limitations of data ...
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