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Resources & Methods

16,196 papers (36 classified directly here)

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Papers (including subtopics)

Federated Learning from Pre-Trained Models: A Contrastive Learning Approach NeurIPS 2022 FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks NAACL 2022 Fewer Errors, but More Stereotypes? The Effect of Model Size on Gender Bias NAACL 2022 FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding ACL 2022 Few-shot initializing of Active Learner via Meta-Learning EMNLP 2022 Few-shot Learning with Multilingual Generative Language Models EMNLP 2022 Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup EMNLP 2022 Few-Shot Pidgin Text Adaptation via Contrastive Fine-Tuning COLING 2022 Few-shot Subgoal Planning with Language Models NAACL 2022 Finding Skill Neurons in Pre-trained Transformer-based Language Models EMNLP 2022 Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification EMNLP 2022 Findings of the VarDial Evaluation Campaign 2022 COLING 2022 Findings of the WMT’22 Shared Task on Large-Scale Machine Translation Evaluation for African Languages EMNLP 2022 Finding the Dominant Winning Ticket in Pre-Trained Language Models ACL 2022 Fine-grained Multi-lingual Disentangled Autoencoder for Language-agnostic Representation Learning EMNLP 2022 Fine-tuned Language Models are Continual Learners EMNLP 2022 Fine-tuning language models to find agreement among humans with diverse preferences NeurIPS 2022 Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively NeurIPS 2022 FIRE: Semantic Field of Words Represented as Non-Linear Functions NeurIPS 2022 Focus! Relevant and Sufficient Context Selection for News Image Captioning EMNLP 2022 Forecasting Future World Events With Neural Networks NeurIPS 2022 Forging Multiple Training Objectives for Pre-trained Language Models via Meta-Learning EMNLP 2022 FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information EMNLP 2022 Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition EMNLP 2022 Foundation Models of Scientific Knowledge for Chemistry: Opportunities, Challenges and Lessons Learned ACL 2022