Harish Tayyar Madabushi

Orcid: 0000-0001-5260-3653

According to our database1, Harish Tayyar Madabushi authored at least 47 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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On csauthors.net:

Bibliography

2024
Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models.
CoRR, 2024

FS-RAG: A Frame Semantics Based Approach for Improved Factual Accuracy in Large Language Models.
CoRR, 2024

Word Boundary Information Isn't Useful for Encoder Language Models.
CoRR, 2024

SpeciaLex: A Benchmark for In-Context Specialized Lexicon Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Standardize: Aligning Language Models with Expert-Defined Standards for Content Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024


Code-Mixed Probes Show How Pre-Trained Models Generalise on Code-Switched Text.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Pre-Trained Language Models Represent Some Geographic Populations Better than Others.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

A Construction Grammar Corpus of Varying Schematicity: A Dataset for the Evaluation of Abstractions in Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Overview of the CLEF 2024 LongEval Lab on Longitudinal Evaluation of Model Performance.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2024

Extended Overview of the CLEF 2024 LongEval Lab on Longitudinal Evaluation of Model Performance.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

Are Emergent Abilities in Large Language Models just In-Context Learning?
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Flesch or Fumble? Evaluating Readability Standard Alignment of Instruction-Tuned Language Models.
CoRR, 2023

Construction Grammar and Language Models.
CoRR, 2023

Uniform Complexity for Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023


Overview of the CLEF-2023 LongEval Lab on Longitudinal Evaluation of Model Performance.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

Extended Overview of the CLEF-2023 LongEval Lab on Longitudinal Evaluation of Model Performance.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022
Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5.
CoRR, 2022

SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Abstraction not Memory: BERT and the English Article System.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Sample Efficient Approaches for Idiomaticity Detection.
Proceedings of the 18th Workshop on Multiword Expressions, 2022

Improving Tokenisation by Alternative Treatment of Spaces.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
UoB at ProfNER 2021: Data Augmentation for Classification Using Machine Translation.
Proceedings of the Sixth Social Media Mining for Health Workshop and Shared Task, 2021

UoB at SemEval-2021 Task 5: Extending Pre-Trained Language Models to Include Task and Domain-Specific Information for Toxic Span Prediction.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

UoB_UK at SemEval 2021 Task 2: Zero-Shot and Few-Shot Learning for Multi-lingual and Cross-lingual Word Sense Disambiguation.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Learned Construction Grammars Converge Across Registers Given Increased Exposure.
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

CogNLP-Sheffield at CMCL 2021 Shared Task: Blending Cognitively Inspired Features with Transformer-based Language Models for Predicting Eye Tracking Patterns.
Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, 2021

2020
Incorporating Count-Based Features into Pre-Trained Models for Improved Stance Detection.
CoRR, 2020

CS-Embed-francesita at SemEval-2020 Task 9: The effectiveness of code-switched word embeddings for sentiment analysis.
CoRR, 2020

Cost-Sensitive BERT for Generalisable Sentence Classification with Imbalanced Data.
CoRR, 2020

Keeping it simple: Implementation and performance of the proto-principle of adaptation and learning in the language sciences.
CoRR, 2020

Faster BERT-based Re-ranking through Candidate Passage Extraction.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

UoB at SemEval-2020 Task 1: Automatic Identification of Novel Word Senses.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

UoB at SemEval-2020 Task 12: Boosting BERT with Corpus Level Information.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

CS-Embed at SemEval-2020 Task 9: The Effectiveness of Code-switched Word Embeddings for Sentiment Analysis.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Multi-class Hierarchical Question Classification for Multiple Choice Science Exams.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

UoB at AI-SOCO 2020: Approaches to Source Code Classification and the Surprising Power of n-grams.
Proceedings of the Working Notes of FIRE 2020, 2020

CxGBERT: BERT meets Construction Grammar.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Efficient Brain Tumour Segmentation Using Co-registered Data and Ensembles of Specialised Learners.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

CXP949 at WNUT-2020 Task 2: Extracting Informative COVID-19 Tweets - RoBERTa Ensembles and The Continued Relevance of Handcrafted Features.
Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

Augmenting Neural Metaphor Detection with Concreteness.
Proceedings of the Second Workshop on Figurative Language Processing, 2020

2019
On the integration of conceptual hierarchies with deep learning for explainable open-domain question answering.
PhD thesis, 2019

2018
Integrating Question Classification and Deep Learning for improved Answer Selection.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

2016
UoB-UK at SemEval-2016 Task 1: A Flexible and Extendable System for Semantic Text Similarity using Types, Surprise and Phrase Linking.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

High Accuracy Rule-based Question Classification using Question Syntax and Semantics.
Proceedings of the COLING 2016, 2016


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