Anubha Kabra

Orcid: 0000-0003-1874-7711

According to our database1, Anubha Kabra authored at least 16 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
AI-LieDar: Examine the Trade-off Between Utility and Truthfulness in LLM Agents.
CoRR, 2024

Program-Aided Reasoners (Better) Know What They Know.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Reducing Privacy Risks in Online Self-Disclosures with Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Multi-lingual and Multi-cultural Figurative Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Potent Real-Time Recommendations Using Multimodel Contextual Reinforcement Learning.
IEEE Trans. Comput. Soc. Syst., 2022

Ceasing hate with <i>MoH</i>: Hate Speech Detection in Hindi-English code-switched language.
Inf. Process. Manag., 2022

Evaluation Toolkit For Robustness Testing Of Automatic Essay Scoring Systems.
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.
CoRR, 2021

Feature Enhanced Capsule Networks for Robust Automatic Essay Scoring.
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.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020
Cluster Based Deep Contextual Reinforcement Learning for top-k Recommendations.
CoRR, 2020

MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme Imbalance.
CoRR, 2020

Calling Out Bluff: Attacking the Robustness of Automatic Scoring Systems with Simple Adversarial Testing.
CoRR, 2020

MixBoost: Synthetic Oversampling using Boosted Mixup for Handling Extreme Imbalance.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020


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