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2020 – today
- 2024
[c9]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: 13732-13754- [c8]Anubha Kabra, Sanketh Rangreji, Yash Mathur, Aman Madaan, Emmy Liu, Graham Neubig:
Program-Aided Reasoners (Better) Know What They Know. NAACL-HLT 2024: 2262-2278 - [i9]Zhe Su, Xuhui Zhou, Sanketh Rangreji, Anubha Kabra, Julia Mendelsohn, Faeze Brahman, Maarten Sap:
AI-LieDar: Examine the Trade-off Between Utility and Truthfulness in LLM Agents. CoRR abs/2409.09013 (2024) - 2023
- [c7]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: 8269-8284 - [c6]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: 6508-6524 - [i8]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 abs/2305.16171 (2023) - [i7]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 abs/2310.15113 (2023) - [i6]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 abs/2311.09538 (2023) - [i5]Anubha Kabra, Sanketh Rangreji, Yash Mathur, Aman Madaan, Emmy Liu, Graham Neubig:
Program-Aided Reasoners (better) Know What They Know. CoRR abs/2311.09553 (2023) - 2022
- [j2]Arushi Sharma, Anubha Kabra, Minni Jain:
Ceasing hate with MoH: Hate Speech Detection in Hindi-English code-switched language. Inf. Process. Manag. 59(1): 102760 (2022) - [j1]Anubha Kabra, Anu Agarwal, Anil Singh Parihar:
Potent Real-Time Recommendations Using Multimodel Contextual Reinforcement Learning. IEEE Trans. Comput. Soc. Syst. 9(2): 581-593 (2022) - [c5]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: 90-99 - 2021
- [c4]Anubha Kabra, Anu Agarwal:
Personalized and Dynamic top-k Recommendation System using Context Aware Deep Reinforcement Learning. COMPSAC 2021: 238-247 - [c3]Arushi Sharma, Anubha Kabra, Rajiv Kapoor:
Feature Enhanced Capsule Networks for Robust Automatic Essay Scoring. ECML/PKDD (5) 2021: 365-380 - [i4]Arushi Sharma, Anubha Kabra, Minni Jain:
Ceasing hate withMoH: Hate Speech Detection in Hindi-English Code-Switched Language. CoRR abs/2110.09393 (2021) - 2020
- [c2]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: 13915-13916 - [c1]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: 1082-1087 - [i3]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 abs/2007.06796 (2020) - [i2]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 abs/2009.01571 (2020) - [i1]Anubha Kabra, Anu Agarwal, Anil Singh Parihar:
Cluster Based Deep Contextual Reinforcement Learning for top-k Recommendations. CoRR abs/2012.02291 (2020)
Coauthor Index
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