Anubha Kabra

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Reinforcement Learning

Top Venues

Publications

Anubha Kabra, Sanketh Rangreji, Yash Mathur, Aman Madaan, Emmy Liu, Graham Neubig
Program-Aided Reasoners (Better) Know What They Know. NAACL-HLT (2024)
Yao Dou, Isadora Krsek, Tarek Naous, Anubha Kabra, Sauvik Das, Alan Ritter, Wei Xu
Reducing Privacy Risks in Online Self-Disclosures with Language Models. ACL (1) (2024)
Anubha Kabra, Emmy Liu, Simran Khanuja, Alham Fikri Aji, Genta Indra Winata, Samuel Cahyawijaya, Aremu Anuoluwapo, Perez Ogayo, Graham Neubig
Multi-lingual and Multi-cultural Figurative Language Understanding. ACL (Findings) (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
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model. CoRR (2023)
Anubha Kabra, Sanketh Rangreji, Yash Mathur, Aman Madaan, Emmy Liu, Graham Neubig
Program-Aided Reasoners (better) Know What They Know. CoRR (2023)
Yao Dou, Isadora Krsek, Tarek Naous, Anubha Kabra, Sauvik Das, Alan Ritter, Wei Xu
Reducing Privacy Risks in Online Self-Disclosures with Language Models. CoRR (2023)
Anubha Kabra, Emmy Liu, Simran Khanuja, Alham Fikri Aji, Genta Indra Winata, Samuel Cahyawijaya, Aremu Anuoluwapo, Perez Ogayo, Graham Neubig
Multi-lingual and Multi-cultural Figurative Language Understanding. CoRR (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
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model. EMNLP (2023)
Anubha Kabra, Anu Agarwal, Anil Singh Parihar
Potent Real-Time Recommendations Using Multimodel Contextual Reinforcement Learning. IEEE Trans. Comput. Soc. Syst. 9 (2) (2022)
Arushi Sharma, Anubha Kabra, Minni Jain
: Hate Speech Detection in Hindi-English code-switched language. Inf. Process. Manag. 59 (1) (2022)
Anubha Kabra, Mehar Bhatia, Yaman Kumar Singla, Junyi Jessy Li, Rajiv Ratn Shah
Evaluation Toolkit For Robustness Testing Of Automatic Essay Scoring Systems. COMAD/CODS (2022)
Arushi Sharma, Anubha Kabra, Rajiv Kapoor
Feature Enhanced Capsule Networks for Robust Automatic Essay Scoring. ECML/PKDD (5) (2021)
Anubha Kabra, Anu Agarwal
Personalized and Dynamic top-k Recommendation System using Context Aware Deep Reinforcement Learning. COMPSAC (2021)
Arushi Sharma, Anubha Kabra, Minni Jain
Ceasing hate withMoH: Hate Speech Detection in Hindi-English Code-Switched Language. CoRR (2021)
Anubha Kabra, Anu Agarwal, Anil Singh Parihar
Cluster Based Deep Contextual Reinforcement Learning for top-k Recommendations. CoRR (2020)
Anubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, Balaji Krishnamurthy
MixBoost: Synthetic Oversampling using Boosted Mixup for Handling Extreme Imbalance. ICDM (2020)
Shivangi Singhal, Anubha Kabra, Mohit Sharma, Rajiv Ratn Shah, Tanmoy Chakraborty, Ponnurangam Kumaraguru
SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning (Student Abstract). AAAI (2020)
Yaman Kumar, Mehar Bhatia, Anubha Kabra, Junyi Jessy Li, Di Jin, Rajiv Ratn Shah
Calling Out Bluff: Attacking the Robustness of Automatic Scoring Systems with Simple Adversarial Testing. CoRR (2020)
Anubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, Balaji Krishnamurthy
MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme Imbalance. CoRR (2020)