in-context learning

Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing EMNLP 2022 Exploiting Language Model Prompts Using Similarity Measures: A Case Study on the Word-in-Context Task ACL 2022 Exploring Length Generalization in Large Language Models NeurIPS 2022 Exploring The Landscape of Distributional Robustness for Question Answering Models EMNLP 2022 Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts EMNLP 2022 Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning NeurIPS 2022 Few-Shot Semantic Parsing with Language Models Trained on Code NAACL 2022 Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER ACL 2022 Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations EMNLP 2022 Improving In-Context Few-Shot Learning via Self-Supervised Training NAACL 2022 In-Context Learning for Few-Shot Dialogue State Tracking EMNLP 2022 Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners NeurIPS 2022 Learning To Retrieve Prompts for In-Context Learning NAACL 2022 MAGMA – Multimodal Augmentation of Generative Models through Adapter-based Finetuning EMNLP 2022 Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances NAACL 2022 MetaICL: Learning to Learn In Context NAACL 2022 Meta-learning via Language Model In-context Tuning ACL 2022 Noisy Channel Language Model Prompting for Few-Shot Text Classification ACL 2022 On the Compositional Generalization Gap of In-Context Learning EMNLP 2022 On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model NAACL 2022 ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback EMNLP 2022 Prompt Consistency for Zero-Shot Task Generalization EMNLP 2022 Prompting for Multimodal Hateful Meme Classification EMNLP 2022 Quantifying Adaptability in Pre-trained Language Models with 500 Tasks NAACL 2022 Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP 2022