1 code implementation • 16 Nov 2023 • Anubha Kabra, Sanketh Rangreji, Yash Mathur, Aman Madaan, Emmy Liu, Graham Neubig
Our analysis uncovers that prompting styles that produce lesser diversity in generations also have more calibrated results, and thus we also experiment with inducing lower generation diversity using temperature scaling and find that for certain temperatures, PAL is not only more accurate but is also more calibrated than COT.
no code implementations • 16 Nov 2023 • Yao Dou, Isadora Krsek, Tarek Naous, Anubha Kabra, Sauvik Das, Alan Ritter, Wei Xu
Motivated by the user feedback, we introduce the task of self-disclosure abstraction, which is paraphrasing disclosures into less specific terms while preserving their utility, e. g., "Im 16F" to "I'm a teenage girl".
no code implementations • 23 Oct 2023 • Leonie Weissweiler, Valentin Hofmann, Anjali Kantharuban, Anna Cai, Ritam Dutt, Amey Hengle, Anubha Kabra, Atharva Kulkarni, Abhishek Vijayakumar, Haofei Yu, Hinrich Schütze, Kemal Oflazer, David R. Mortensen
Large language models (LLMs) have recently reached an impressive level of linguistic capability, prompting comparisons with human language skills.
no code implementations • 25 May 2023 • Anubha Kabra, Emmy Liu, Simran Khanuja, Alham Fikri Aji, Genta Indra Winata, Samuel Cahyawijaya, Anuoluwapo Aremu, Perez Ogayo, Graham Neubig
Figurative language permeates human communication, but at the same time is relatively understudied in NLP.
no code implementations • 18 Oct 2021 • Arushi Sharma, Anubha Kabra, Minni Jain
The second compares the proposed work's scores with those of the baseline models and offers a rise in performance by 6%.
no code implementations • 29 Nov 2020 • Anubha Kabra, Anu Agarwal, Anil Singh Parihar
Rapid advancements in the E-commerce sector over the last few decades have led to an imminent need for personalised, efficient and dynamic recommendation systems.
no code implementations • 3 Sep 2020 • Anubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, Balaji K
Training a classification model on a dataset where the instances of one class outnumber those of the other class is a challenging problem.
1 code implementation • 14 Jul 2020 • Anubha Kabra, Mehar Bhatia, Yaman Kumar, Junyi Jessy Li, Rajiv Ratn Shah
This number is increasing further due to COVID-19 and the associated automation of education and testing.