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Amrita Bhattacharjee
Amrita Bhattacharjee
Computer Science PhD student, Arizona State University
Bestätigte E-Mail-Adresse bei asu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
2242020
Large language models for data annotation and synthesis: A survey
Z Tan, D Li, S Wang, A Beigi, B Jiang, A Bhattacharjee, M Karami, J Li, ...
Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024
124*2024
Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text?
A Bhattacharjee, H Liu
SIGKDD Explorations 25 (1), 2023
562023
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
552023
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
45*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
392023
Text Transformations in Contrastive Self-Supervised Learning: A Review
A Bhattacharjee, M Karami, H Liu
IJCAI 2022 Survey Track, 2022
252022
Challenges in combating COVID-19 infodemic--data, tools, and ethics
K Ding, K Shu, Y Li, A Bhattacharjee, H Liu
CIKM 2020 workshop, arXiv preprint arXiv:2005.13691, 2020
202020
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
152024
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
152023
From generation to judgment: Opportunities and challenges of llm-as-a-judge
D Li, B Jiang, L Huang, A Beigi, C Zhao, Z Tan, A Bhattacharjee, Y Jiang, ...
arXiv preprint arXiv:2411.16594, 2024
142024
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
142022
Defending Against Social Engineering Attacks in the Age of LLMs
L Ai*, T Kumarage*, A Bhattacharjee*, Z Liu, Z Hui, M Davinroy, J Cook, ...
EMNLP 2024 (Main Track), arXiv preprint arXiv:2406.12263, 2024
102024
Zero-shot LLM-guided Counterfactual Generation: A Case Study on NLP Model Evaluation
A Bhattacharjee, R Moraffah, J Garland, H Liu
2024 IEEE International Conference on Big Data (BigData), 1243-1248, 2024
9*2024
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
92024
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
72024
Adversarial Text Purification: A Large Language Model Approach for Defense
R Moraffah, S Khandelwal, A Bhattacharjee, H Liu
PAKDD 2024, 2024
72024
Disinformation in the online information ecosystem: detection, mitigation and challenges
A Bhattacharjee, K Shu, M Gao, H Liu
arXiv preprint arXiv:2010.09113, 2020
52020
EAGLE: A Domain Generalization Framework for AI-generated Text Detection
A Bhattacharjee, R Moraffah, J Garland, H Liu
arXiv preprint arXiv:2403.15690, 2024
42024
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
42023
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