Natural Language Processing

On the Calibration of Massively Multilingual Language Models EMNLP 2022 On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation COLING 2022 On the Compositional Generalization Gap of In-Context Learning EMNLP 2022 On the Curious Case of l2 norm of Sense Embeddings EMNLP 2022 On the data requirements of probing ACL 2022 On the Diversity and Limits of Human Explanations NAACL 2022 On the Economics of Multilingual Few-shot Learning: Modeling the Cost-Performance Trade-offs of Machine Translated and Manual Data NAACL 2022 On the Effectiveness of Automated Metrics for Text Generation Systems EMNLP 2022 On the Effectiveness of Sentence Encoding for Intent Detection Meta-Learning NAACL 2022 On the Effect of Isotropy on VAE Representations of Text ACL 2022 On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model NAACL 2022 On the Effects of Video Grounding on Language Models COLING 2022 On the Geometry of Concreteness ACL 2022 On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing ACL 2022 On the Impact of Temporal Concept Drift on Model Explanations EMNLP 2022 On the Importance of Data Size in Probing Fine-tuned Models ACL 2022 On the Importance of Effectively Adapting Pretrained Language Models for Active Learning ACL 2022 On The Ingredients of an Effective Zero-shot Semantic Parser ACL 2022 On the Learning of Non-Autoregressive Transformers ICML 2022 On the Limitations of Reference-Free Evaluations of Generated Text EMNLP 2022 On the Locality of Attention in Direct Speech Translation ACL 2022 On the Machine Learning of Ethical Judgments from Natural Language NAACL 2022 On the Nature of BERT: Correlating Fine-Tuning and Linguistic Competence COLING 2022 On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models? NAACL 2022 On the Pitfalls of Analyzing Individual Neurons in Language Models ICLR 2022