Search Results - Tayyar Madabushi, Harish

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  1. 1
    Constructing understanding: on the constructional information encoded in large language models

    Constructing understanding: on the constructional information encoded in large language models by Bonial, Claire, Tayyar Madabushi, Harish

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  2. 2
    FS-RAG: A Frame Semantics Based Approach for Improved Factual Accuracy in Large Language Models

    FS-RAG: A Frame Semantics Based Approach for Improved Factual Accuracy in Large Language Models by Madabushi, Harish Tayyar

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  3. 3
    UoB at SemEval-2021 Task 5: Extending Pre-Trained Language Models to Include Task and Domain-Specific Information for Toxic Span Prediction

    UoB at SemEval-2021 Task 5: Extending Pre-Trained Language Models to Include Task and Domain-Specific Information for Toxic Span Prediction by Yan, Erik, Madabushi, Harish Tayyar

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  4. 4
    SpeciaLex: A Benchmark for In-Context Specialized Lexicon Learning

    SpeciaLex: A Benchmark for In-Context Specialized Lexicon Learning by Imperial, Joseph Marvin, Madabushi, Harish Tayyar

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  5. 5
    Pre-Trained Language Models Represent Some Geographic Populations Better Than Others

    Pre-Trained Language Models Represent Some Geographic Populations Better Than Others by Dunn, Jonathan, Adams, Benjamin, Madabushi, Harish Tayyar

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  6. 6
    Flesch or Fumble? Evaluating Readability Standard Alignment of Instruction-Tuned Language Models

    Flesch or Fumble? Evaluating Readability Standard Alignment of Instruction-Tuned Language Models by Imperial, Joseph Marvin, Madabushi, Harish Tayyar

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  7. 7
    Uniform Complexity for Text Generation

    Uniform Complexity for Text Generation by Imperial, Joseph Marvin, Madabushi, Harish Tayyar

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  8. 8
    Learned Construction Grammars Converge Across Registers Given Increased Exposure

    Learned Construction Grammars Converge Across Registers Given Increased Exposure by Dunn, Jonathan, Madabushi, Harish Tayyar

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  9. 9
    Standardize: Aligning Language Models with Expert-Defined Standards for Content Generation

    Standardize: Aligning Language Models with Expert-Defined Standards for Content Generation by Imperial, Joseph Marvin, ey, Gail, Madabushi, Harish Tayyar

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  10. 10
    Code-Mixed Probes Show How Pre-Trained Models Generalise On Code-Switched Text

    Code-Mixed Probes Show How Pre-Trained Models Generalise On Code-Switched Text by Frances A Laureano De Leon, Madabushi, Harish Tayyar, Lee, Mark

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  11. 11
    UoB at SemEval-2020 Task 1: Automatic Identification of Novel Word Senses

    UoB at SemEval-2020 Task 1: Automatic Identification of Novel Word Senses by Sarsfield, Eleri, Madabushi, Harish Tayyar

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  12. 12
    Incorporating Count-Based Features into Pre-Trained Models for Improved Stance Detection

    Incorporating Count-Based Features into Pre-Trained Models for Improved Stance Detection by Prakash, Anushka, Madabushi, Harish Tayyar

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  13. 13
    CXP949 at WNUT-2020 Task 2: Extracting Informative COVID-19 Tweets -- RoBERTa Ensembles and The Continued Relevance of Handcrafted Features

    CXP949 at WNUT-2020 Task 2: Extracting Informative COVID-19 Tweets -- RoBERTa Ensembles and The Continued Relevance of Handcrafted Features by Perrio, Calum, Madabushi, Harish Tayyar

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  14. 14
    Abstraction not Memory: BERT and the English Article System

    Abstraction not Memory: BERT and the English Article System by Madabushi, Harish Tayyar, Divjak, Dagmar, Milin, Petar

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  15. 15
    Construction Grammar and Language Models

    Construction Grammar and Language Models by Madabushi, Harish Tayyar, Romain, Laurence, Milin, Petar, Divjak, Dagmar

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  16. 16
    Are Emergent Abilities in Large Language Models just In-Context Learning?

    Are Emergent Abilities in Large Language Models just In-Context Learning? by Lu, Sheng, Bigoulaeva, Irina, Sachdeva, Rachneet, Madabushi, Harish Tayyar, Gurevych, Iryna

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  17. 17
    Improving Tokenisation by Alternative Treatment of Spaces

    Improving Tokenisation by Alternative Treatment of Spaces by Gow-Smith, Edward, Madabushi, Harish Tayyar, Scarton, Carolina, Villavicencio, Aline

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  18. 18
    Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models

    Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models by Puerto, Haritz, Chubakov, Tilek, Zhu, Xiaodan, Madabushi, Harish Tayyar, Gurevych, Iryna

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  19. 19
    UoB at SemEval-2020 Task 12: Boosting BERT with Corpus Level Information

    UoB at SemEval-2020 Task 12: Boosting BERT with Corpus Level Information by Wah Meng Lim, Madabushi, Harish Tayyar

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  20. 20
    Cost-Sensitive BERT for Generalisable Sentence Classification with Imbalanced Data

    Cost-Sensitive BERT for Generalisable Sentence Classification with Imbalanced Data by Madabushi, Harish Tayyar, Kochkina, Elena, Castelle, Michael

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