SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning (Student Abstract). - Shivangi Singhal; Anubha Kabra; Mohit Sharma 004; Rajiv Ratn Shah; Tanmoy Chakraborty 002; Ponnurangam Kumaraguru (AAAI, 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 (ICDM, 2020)

Calling Out Bluff: Attacking the Robustness of Automatic Scoring Systems with Simple Adversarial Testing. - Yaman Kumar 001; Mehar Bhatia; Anubha Kabra; Junyi Jessy Li; Di Jin; Rajiv Ratn Shah (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)

Cluster Based Deep Contextual Reinforcement Learning for top-k Recommendations. - Anubha Kabra; Anu Agarwal; Anil Singh Parihar (CoRR, 2020)

Personalized and Dynamic top-k Recommendation System using Context Aware Deep Reinforcement Learning. - Anubha Kabra; Anu Agarwal (COMPSAC, 2021)

Feature Enhanced Capsule Networks for Robust Automatic Essay Scoring. - Arushi Sharma; Anubha Kabra; Rajiv Kapoor (ECML/PKDD (5), 2021)

Ceasing hate withMoH: Hate Speech Detection in Hindi-English Code-Switched Language. - Arushi Sharma; Anubha Kabra; Minni Jain (CoRR, 2021)

Evaluation Toolkit For Robustness Testing Of Automatic Essay Scoring Systems. - Anubha Kabra; Mehar Bhatia; Yaman Kumar Singla; Junyi Jessy Li; Rajiv Ratn Shah (COMAD/CODS, 2022)

Ceasing hate with MoH: Hate Speech Detection in Hindi-English code-switched language. - Arushi Sharma; Anubha Kabra; Minni Jain (Inf. Process. Manag., 2022)

Potent Real-Time Recommendations Using Multimodel Contextual Reinforcement Learning. - Anubha Kabra; Anu Agarwal; Anil Singh Parihar (IEEE Trans. Comput. Soc. Syst., 2022)

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 (ACL (Findings), 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; et al. (EMNLP, 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 004 (ACL (1), 2024)

Program-Aided Reasoners (Better) Know What They Know. - Anubha Kabra; Sanketh Rangreji; Yash Mathur; Aman Madaan; Emmy Liu; Graham Neubig (NAACL-HLT, 2024)

AI-LieDar : Examine the Trade-off Between Utility and Truthfulness in LLM Agents. - Zhe Su; Xuhui Zhou; Sanketh Rangreji; Anubha Kabra; Julia Mendelsohn; Faeze Brahman; Maarten Sap (NAACL (Long Papers), 2025)

Measuring, Modeling, and Helping People Account for Privacy Risks in Online Self-Disclosures with AI. - Isadora Krsek; Anubha Kabra; Yao Dou; Tarek Naous; Laura A. Dabbish; Alan Ritter; Wei Xu 004; Sauvik Das (Proc. ACM Hum. Comput. Interact., 2025)