Amrita Bhattacharjee
Amrita Bhattacharjee
Computer Science PhD student, Arizona State University
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Zitiert von
Zitiert von
Combating disinformation in a social media age
K Shu, A Bhattacharjee, F Alatawi, TH Nazer, K Ding, M Karami, H Liu
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (6 …, 2020
Stylometric detection of ai-generated text in twitter timelines
T Kumarage, J Garland, A Bhattacharjee, K Trapeznikov, S Ruston, H Liu
arXiv preprint arXiv:2303.03697, 2023
Text Transformations in Contrastive Self-Supervised Learning: A Review
A Bhattacharjee, M Karami, H Liu
IJCAI 2022 Survey Track, 2022
Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text?
A Bhattacharjee, H Liu
SIGKDD Explorations 25 (1), 2023
Large Language Models for Data Annotation: A Survey
Z Tan, A Beigi, S Wang, R Guo, A Bhattacharjee, B Jiang, M Karami, J Li, ...
arXiv preprint arXiv:2402.13446, 2024
ConDA: Contrastive Domain Adaptation for AI-generated Text Detection
A Bhattacharjee, T Kumarage, R Moraffah, H Liu
IJCNLP-AACL 2023, arXiv preprint arXiv:2309.03992, 2023
Towards LLM-guided Causal Explainability for Black-box Text Classifiers
A Bhattacharjee, R Moraffah, J Garland, H Liu
AAAI 2024 Responsible Language Models (ReLM) Workshop, arXiv preprint arXiv …, 2024
Challenges in combating COVID-19 infodemic--data, tools, and ethics
K Ding, K Shu, Y Li, A Bhattacharjee, H Liu
CIKM 2020 worhshop, arXiv preprint arXiv:2005.13691, 2020
Reinforcement Learning Methods for Wordle: A POMDP/Adaptive Control Approach
S Bhambri, A Bhattacharjee, D Bertsekas
IEEE Conference on Games (CoG), arXiv preprint arXiv:2211.10298, 2022
J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News
T Kumarage, A Bhattacharjee, D Padejski, K Roschke, D Gillmor, ...
IJCNLP-AACL 2023, arXiv preprint arXiv:2309.03164, 2023
Harnessing Artificial Intelligence to Combat Online Hate: Exploring the Challenges and Opportunities of Large Language Models in Hate Speech Detection
T Kumarage*, A Bhattacharjee*, J Garland
arXiv preprint arXiv:2403.08035, 2024
Towards Detecting Harmful Agendas in News Articles
M Subbiah*, A Bhattacharjee*, Y Hua, T Kumarage, H Liu, K Mckeown
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity …, 2023
Disinformation in the online information ecosystem: detection, mitigation and challenges
A Bhattacharjee, K Shu, M Gao, H Liu
arXiv preprint arXiv:2010.09113, 2020
Adversarial Text Purification: A Large Language Model Approach for Defense
R Moraffah, S Khandelwal, A Bhattacharjee, H Liu
PAKDD 2024, 2024
网络信息生态系统中的虚假信息: 检测, 缓解与挑战
A Bhattacharjee, K Shu, M Gao, H Liu
Jisuanji Yanjiu yu Fazhan/Computer Research and Development 58 (7), 1353-1365, 2021
Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales
A Nirmal*, A Bhattacharjee*, P Sheth, H Liu
NAACL WOAH 2024, arXiv preprint arXiv:2403.12403, 2024
ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement
SB Zinjad, A Bhattacharjee, A Bhilegaonkar, H Liu
SIGIR 2024 (Demo), arXiv preprint arXiv:2402.06221, 2024
Links do Matter: Understanding the Drivers of Developer Interactions in Software Ecosystems
S Datta, A Bhattacharjee, S Majumder
2021 IEEE International Conference on Software Maintenance and Evolution …, 2021
Efficient Reinforcement Learning via Large Language Model-based Search
S Bhambri, A Bhattacharjee, H Liu, S Kambhampati
arXiv preprint arXiv:2405.15194, 2024
Zero-shot LLM-guided Counterfactual Generation for Text
A Bhattacharjee, R Moraffah, J Garland, H Liu
arXiv preprint arXiv:2405.04793, 2024
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