Compositional Generalization in Semantic Parsing: Pre-training vs.
Specialized Architectures
Papers citing "Compositional Generalization in Semantic Parsing: Pre-training vs. Specialized Architectures"
50 / 68 papers shown
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 Improving Language Models Meaning Understanding and Consistency by
Learning Conceptual Roles from DictionaryConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 SIP: Injecting a Structural Inductive Bias into a Seq2Seq Model by
SimulationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 Layer-wise Representation Fusion for Compositional GeneralizationAAAI Conference on Artificial Intelligence (AAAI), 2023 |
 Learning to Substitute Spans towards Improving Compositional
GeneralizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 Knowledge Base Question Answering for Space Debris QueriesAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 The Impact of Positional Encoding on Length Generalization in
TransformersNeural Information Processing Systems (NeurIPS), 2023 |
 Learning to Compose Representations of Different Encoder Layers towards
Improving Compositional GeneralizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 How Do In-Context Examples Affect Compositional Generalization?Annual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 Laziness Is a Virtue When It Comes to Compositionality in Neural
Semantic ParsingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 Mixture of Soft Prompts for Controllable Data GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 Semantic Parsing for Conversational Question Answering over Knowledge
GraphsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023 |
 Diverse Demonstrations Improve In-context Compositional GeneralizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
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 On the Compositional Generalization Gap of In-Context LearningBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2022 |
 Structural generalization is hard for sequence-to-sequence modelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Towards Generalizable and Robust Text-to-SQL ParsingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Few-shot Subgoal Planning with Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 |
 Evaluating the Impact of Model Scale for Compositional Generalization in
Semantic ParsingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Modern Baselines for SPARQL Semantic ParsingAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022 |
 Revisiting the Compositional Generalization Abilities of Neural Sequence
ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
 Understanding Robust Generalization in Learning Regular LanguagesInternational Conference on Machine Learning (ICML), 2022 |
 Unobserved Local Structures Make Compositional Generalization HardConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Disentangled Sequence to Sequence Learning for Compositional
GeneralizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 |
