 A Representation Level Analysis of NMT Model Robustness to Grammatical ErrorsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 |
MoLEx: Mixture of Layer Experts for Finetuning with Sparse UpcyclingInternational Conference on Learning Representations (ICLR), 2025 |
 Layer by Layer: Uncovering Where Multi-Task Learning Happens in
Instruction-Tuned Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 |
 Mechanistic?BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackBoxNLP), 2024 |
 The representation landscape of few-shot learning and fine-tuning in
large language modelsNeural Information Processing Systems (NeurIPS), 2024 |
 From Language Modeling to Instruction Following: Understanding the
Behavior Shift in LLMs after Instruction TuningNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 |
 Explainability for Large Language Models: A SurveyACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023 |
 Operationalising Representation in Natural Language ProcessingBritish Journal for the Philosophy of Science (BJPS), 2023 |
 Morphosyntactic probing of multilingual BERT modelsNatural Language Engineering (NLE), 2023 |
 Can LLMs facilitate interpretation of pre-trained language models?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 NxPlain: Web-based Tool for Discovery of Latent ConceptsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023 |
 The geometry of hidden representations of large transformer modelsNeural Information Processing Systems (NeurIPS), 2023 |
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 Prompting Language Models for Linguistic StructureAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
 On the Transformation of Latent Space in Fine-Tuned NLP ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Understanding Domain Learning in Language Models Through Subpopulation
AnalysisBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2022 |
 Probing with Noise: Unpicking the Warp and Weft of EmbeddingsBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2022 |
 Log-linear Guardedness and its ImplicationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
 Probing via PromptingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 |
 Is neural language acquisition similar to natural? A chronological
probing studyComputational Linguistics and Intellectual Technologies (CLIT), 2022 |
 Analyzing Encoded Concepts in Transformer Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 |
 Discovering Salient Neurons in Deep NLP ModelsJournal of machine learning research (JMLR), 2022 |
 Discovering Latent Concepts Learned in BERTInternational Conference on Learning Representations (ICLR), 2022 |
 Naturalistic Causal Probing for Morpho-SyntaxTransactions of the Association for Computational Linguistics (TACL), 2022 |
 Variation and generality in encoding of syntactic anomaly information in
sentence embeddingsBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackBoxNLP), 2021 |
 A Bayesian Framework for Information-Theoretic ProbingConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 |
 Neuron-level Interpretation of Deep NLP Models: A SurveyTransactions of the Association for Computational Linguistics (TACL), 2021 |
 Meta-Learning to Compositionally GeneralizeAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 |
 How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social
ImpactFindings (Findings), 2021 |
 How transfer learning impacts linguistic knowledge in deep NLP models?Findings (Findings), 2021 |
 On Compositional Generalization of Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 |
 Fine-grained Interpretation and Causation Analysis in Deep NLP ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021 |
 Bird's Eye: Probing for Linguistic Graph Structures with a Simple
Information-Theoretic ApproachAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 |
 A multilabel approach to morphosyntactic probingConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 |
 Effect of Post-processing on Contextualized Word RepresentationsInternational Conference on Computational Linguistics (COLING), 2021 |
 Local Interpretations for Explainable Natural Language Processing: A
SurveyACM Computing Surveys (CSUR), 2021 |
 Hierarchical Transformer for Multilingual Machine TranslationWorkshop on NLP for Similar Languages, Varieties and Dialects (VarDial), 2021 |
