Task Arithmetic with LoRA for Continual Learning
Published in R0-FoMo, WANT workshops at NeurIPS 2023
<!--Leveraging LoRA and task arithmetic for class-incremental continual learning.
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Publications
My boli: Code-mixed marathi-english corpora, pretrained language models and evaluation benchmarks
Published in IJCNLP-AACL 2023 Findings
<!--Code-mixed Marathi-English corpora, models and benchmarks.
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Two-stage Pipeline for Multilingual Dialect Detection
Published in EACL VarDial Workshop
<!--A two-stage end-to-end deep learning based pipeline for multilingual dialect detection.
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Unsupervised Out-of-distribution Detection Using Few In-distribution Samples
Published in ICASSP 2023
<!--A state-of-the-art baseline for few shot out-of-distribution detection in NLP.
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A Twitter BERT Approach for Offensive Language Detection in Marathi
Published in FIRE 2022 workshop
<!--Applying LLMs to offensive language detection in Marathi.
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Efficient Gender Debiasing of Pre-trained Indic Language Models
Published in AAAI 2023 Deployable AI workshop
<!--A state-of-the-art baseline for VQA on the FloodNet dataset. Won the Second Best Paper award in NewInML Workshop 2022.
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Continual VQA for Disaster Response Systems
Published in NeurIPS 2022 Tackling Climate Change with Machine Learning workshop'
<!--We study the VQA problem for the Floodnet dataset in continual and zero shot setting.
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Temporal Word Meaning Disambiguation using TimeLMs
Published in EMNLP 2022 EvoNLP workshop
<!--We study two methods for word sense disamiguation using temporal components.
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Large Language Models for Multi-label Propaganda Detection
Published in EMNLP Arabic Natural Language Processing Workshop
<!--Ablation of Arabic models for propoganda detection in Arabic.
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An Efficient Modern Baseline for FloodNet VQA
Published in ICML NewInML Workshop
<!--A state-of-the-art baseline for VQA on the FloodNet dataset. Won the Second Best Paper award in NewInML Workshop 2022.
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Transformer based ensemble for emotion detection
Published in ACL 2022 WASSA Workshop
<!--Emotion detection using innovative data sampling techniques and ensemble of transformers.
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