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#openbox with Aditya and Dipankar on evaluating dialect robustness Part 2
OPENBOX aims at bringing an easier understanding of open problems that helps in finding solutions for such problems. For the said purpose, I interview researchers and practitioners who have published works on open problems in a variety of areas of Artificial Intelligence and Machine Learning to collect a simplified understanding of these open problems. These are published as podcast series.
My name is Sundar. I am an Ethics and Risk professional and an AI Ethics researcher. I am the host of this podcast.
Ideas emerge when curiosity meets clarity. Here we go with OPENBOX to bring clarity to those curious minds looking to solve real-world problems.
Aditya, an IIT Bombay and Monash university Phd, is a Lecturer/Assistant Professor at University of New South Wales's School of Computer Science & Engineering, specializing in natural language processing (NLP). he has extensive worked in multiple areas of NLP including designing and introducing a new NLP course at UNSW in 2024. He has authored book on NLP published by Wiley in 2023. In addition to my academic work, NLP techniques to epidemic intelligence and cybersecurity. He supervises undergraduate, Masters, and PhD students in their NLP research projects. He is an associate at the Human Rights Institute at UNSW, where he co-lead the Community of Practice for Inclusive Research with Queer, Trans & people with variations of sex characteristics.
Dipankar is a Master student at the University of New South Wales, specializing in Natural Language Processing, Large Language Models, Machine Learning, and Data Analytics. Aditya Joshi leads the Google research scholar grant in UNSW and Dipankar works as a Research Assistant which focuses on developing a benchmark for sentiment and sarcasm classification in Australian and Indian dialects of English. Dipankar is a tutor for Deep Learning based courses.
Our focus is a recent paper by both of them regarding ‘Evaluating Dialect Robustness of Language Models via Conversation Understanding’
In this Aditya and Srirag explain about the dialect nuances that are critical in the context of language models
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By ForHumanity CenterOPENBOX aims at bringing an easier understanding of open problems that helps in finding solutions for such problems. For the said purpose, I interview researchers and practitioners who have published works on open problems in a variety of areas of Artificial Intelligence and Machine Learning to collect a simplified understanding of these open problems. These are published as podcast series.
My name is Sundar. I am an Ethics and Risk professional and an AI Ethics researcher. I am the host of this podcast.
Ideas emerge when curiosity meets clarity. Here we go with OPENBOX to bring clarity to those curious minds looking to solve real-world problems.
Aditya, an IIT Bombay and Monash university Phd, is a Lecturer/Assistant Professor at University of New South Wales's School of Computer Science & Engineering, specializing in natural language processing (NLP). he has extensive worked in multiple areas of NLP including designing and introducing a new NLP course at UNSW in 2024. He has authored book on NLP published by Wiley in 2023. In addition to my academic work, NLP techniques to epidemic intelligence and cybersecurity. He supervises undergraduate, Masters, and PhD students in their NLP research projects. He is an associate at the Human Rights Institute at UNSW, where he co-lead the Community of Practice for Inclusive Research with Queer, Trans & people with variations of sex characteristics.
Dipankar is a Master student at the University of New South Wales, specializing in Natural Language Processing, Large Language Models, Machine Learning, and Data Analytics. Aditya Joshi leads the Google research scholar grant in UNSW and Dipankar works as a Research Assistant which focuses on developing a benchmark for sentiment and sarcasm classification in Australian and Indian dialects of English. Dipankar is a tutor for Deep Learning based courses.
Our focus is a recent paper by both of them regarding ‘Evaluating Dialect Robustness of Language Models via Conversation Understanding’
In this Aditya and Srirag explain about the dialect nuances that are critical in the context of language models