Anubha Kabra

According to our database, Anubha Kabra authored at least 15 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Program-Aided Reasoners (better) Know What They Know.

Anubha Kabra, Sanketh Rangreji, Yash Mathur, Aman Madaan, Emmy Liu, Graham Neubig

CoRR, 2023

Reducing Privacy Risks in Online Self-Disclosures with Language Models.

Yao Dou, Isadora Krsek, Tarek Naous, Anubha Kabra, Sauvik Das, Alan Ritter, Wei Xu

CoRR, 2023

Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model.

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Multi-lingual and Multi-cultural Figurative Language Understanding.

Anubha Kabra, Emmy Liu, Simran Khanuja, Alham Fikri Aji, Genta Indra Winata, Samuel Cahyawijaya, Aremu Anuoluwapo, Perez Ogayo, Graham Neubig

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Potent Real-Time Recommendations Using Multimodel Contextual Reinforcement Learning.

Anubha Kabra, Anu Agarwal, Anil Singh Parihar

IEEE Trans. Comput. Soc. Syst., 2022

Ceasing hate with <i>MoH</i>: Hate Speech Detection in Hindi-English code-switched language.

Arushi Sharma, Anubha Kabra, Minni Jain

Inf. Process. Manag., 2022

Evaluation Toolkit For Robustness Testing Of Automatic Essay Scoring Systems.

Anubha Kabra, Mehar Bhatia, Yaman Kumar Singla, Junyi Jessy Li, Rajiv Ratn Shah

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

2021

Ceasing hate withMoH: Hate Speech Detection in Hindi-English Code-Switched Language.

Arushi Sharma, Anubha Kabra, Minni Jain

CoRR, 2021

Feature Enhanced Capsule Networks for Robust Automatic Essay Scoring.

Arushi Sharma, Anubha Kabra, Rajiv Kapoor

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Personalized and Dynamic top-k Recommendation System using Context Aware Deep Reinforcement Learning.

Anubha Kabra, Anu Agarwal

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020

Cluster Based Deep Contextual Reinforcement Learning for top-k Recommendations.

Anubha Kabra, Anu Agarwal, Anil Singh Parihar

CoRR, 2020

MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme Imbalance.

Anubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, Balaji Krishnamurthy

CoRR, 2020

Calling Out Bluff: Attacking the Robustness of Automatic Scoring Systems with Simple Adversarial Testing.

Yaman Kumar, Mehar Bhatia, Anubha Kabra, Junyi Jessy Li, Di Jin, Rajiv Ratn Shah

CoRR, 2020

MixBoost: Synthetic Oversampling using Boosted Mixup for Handling Extreme Imbalance.

Anubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, Balaji Krishnamurthy

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning (Student Abstract).

Shivangi Singhal, Anubha Kabra, Mohit Sharma, Rajiv Ratn Shah, Tanmoy Chakraborty, Ponnurangam Kumaraguru

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020