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Exploring Continual Learning for Code Generation Models., , , , , , , , , and 2 other author(s). ACL (2), page 782-792. Association for Computational Linguistics, (2023)ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization., , , and . CoRR, (2023)Exclusive Supermask Subnetwork Training for Continual Learning., and . ACL (Findings), page 569-587. Association for Computational Linguistics, (2023)Lovasz Convolutional Networks., , , , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1978-1987. PMLR, (2019)multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning., , and . NAACL-HLT, page 3662-3677. Association for Computational Linguistics, (2021)Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning., , and . ACL (1), page 1190-1208. Association for Computational Linguistics, (2022)Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks., , , , , and . ACL (1), page 3308-3318. Association for Computational Linguistics, (2019)HyperGCN: Hypergraph Convolutional Networks for Semi-Supervised Classification., , , , and . CoRR, (2018)Self-Chained Image-Language Model for Video Localization and Question Answering., , , and . CoRR, (2023)D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data Pruning., , and . CoRR, (2023)