← Core AI
Artificial Intelligence › Core AI ›

Foundation Models

4845 directly classified papers

Papers per year

Papers

Generated Knowledge Prompting for Commonsense Reasoning ACL 2022
Challenges in including extra-linguistic context in pre-trained language models ACL 2022
BRIO: Bringing Order to Abstractive Summarization ACL 2022
Fine-tuning BERT Models for Summarizing German Radiology Findings NAACL 2022
Language Model Priming for Cross-Lingual Event Extraction AAAI 2022
HuggingMolecules: An Open-Source Library for Transformer-Based Molecular Property Prediction (Student Abstract) AAAI 2022
Billion-Scale Pretraining With Vision Transformers for Multi-Task Visual Representations WACV 2022
Towards Detecting Political Bias in Hindi News Articles ACL 2022
Combine to Describe: Evaluating Compositional Generalization in Image Captioning ACL 2022
Clinical-BERT: Vision-Language Pre-training for Radiograph Diagnosis and Reports Generation AAAI 2022
Deep Fusing Pre-trained Models into Neural Machine Translation AAAI 2022
A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models ACL 2022
Exploiting Language Model Prompts Using Similarity Measures: A Case Study on the Word-in-Context Task ACL 2022
AraT5: Text-to-Text Transformers for Arabic Language Generation ACL 2022
How does the pre-training objective affect what large language models learn about linguistic properties? ACL 2022
P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks ACL 2022
Scheduled Multi-task Learning for Neural Chat Translation ACL 2022
Cree Corpus: A Collection of nêhiyawêwin Resources ACL 2022
A Gentle Introduction to Deep Nets and Opportunities for the Future ACL 2022
Exploring Length Generalization in Large Language Models NIPS 2022
Autoformalization with Large Language Models NIPS 2022
An empirical analysis of compute-optimal large language model training NIPS 2022
Forecasting Future World Events With Neural Networks NIPS 2022
Large Language Models are Zero-Shot Reasoners NIPS 2022
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification NIPS 2022