Application of Ratio Property in Searching of M-Ambiguous Words and Its Generalization. - Amrita Bhattacharjee; Bipul Syam Purkayastha (SocProS (1), 2013)

Parikh Matrices and Words Over Ternary Alphabet. - Amrita Bhattacharjee; Bipul Syam Purkayastha (SocProS (1), 2014)

Juice Packaging Design: Effects of Transparency on Consumers' Perception Leading Toward Purchase Preference for Packaged Juice. - Swati Pal; Shivani Holkar; Abhishek Yevalkar; Amrita Bhattacharjee (AHFE (4), 2017)

Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics. - Kaize Ding; Kai Shu; Yichuan Li 001; Amrita Bhattacharjee; Huan Liu 001 (CIKM (Workshops), 2020)

Disinformation in the Online Information Ecosystem: Detection, Mitigation and Challenges. - Amrita Bhattacharjee; Kai Shu; Min Gao 001; Huan Liu 001 (CoRR, 2020)

Combating disinformation in a social media age. - Kai Shu; Amrita Bhattacharjee; Faisal Alatawi; Tahora H. Nazer; Kaize Ding; Mansooreh Karami; Huan Liu 001 (WIREs Data Mining Knowl. Discov., 2020)

Links do Matter: Understanding the Drivers of Developer Interactions in Software Ecosystems. - Subhajit Datta; Amrita Bhattacharjee; Subhashis Majumder (ICSME, 2021)

Text Transformations in Contrastive Self-Supervised Learning: A Review. - Amrita Bhattacharjee; Mansooreh Karami; Huan Liu 001 (IJCAI, 2022)

Reinforcement Learning Methods for Wordle: A POMDP/Adaptive Control Approach. - Siddhant Bhambri; Amrita Bhattacharjee; Dimitri P. Bertsekas (CoRR, 2022)

Playing Wordle Using an Online Rollout Algorithm for Deterministic POMDPs. - Siddhant Bhambri; Amrita Bhattacharjee; Dimitri P. Bertsekas (CoG, 2023)

ConDA: Contrastive Domain Adaptation for AI-generated Text Detection. - Amrita Bhattacharjee; Tharindu Kumarage; Raha Moraffah; Huan Liu 001 (IJCNLP (1), 2023)

J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News. - Tharindu Kumarage; Amrita Bhattacharjee; Djordje Padejski; Kristy Roschke; Dan Gillmor; Scott W. Ruston; Huan Liu 001; Joshua Garland (IJCNLP (1), 2023)

Towards Detecting Harmful Agendas in News Articles. - Melanie Subbiah; Amrita Bhattacharjee; Bobby Yilun Hua; Tharindu Kumarage; Huan Liu 001; Kathleen R. McKeown (WASSA@ACL, 2023)

Detecting Harmful Agendas in News Articles. - Melanie Subbiah; Amrita Bhattacharjee; Bobby Yilun Hua; Tharindu Kumarage; Huan Liu 001; Kathleen R. McKeown (CoRR, 2023)

Stylometric Detection of AI-Generated Text in Twitter Timelines. - Tharindu Kumarage; Joshua Garland; Amrita Bhattacharjee; Kirill Trapeznikov; Scott W. Ruston; Huan Liu 001 (CoRR, 2023)

LLMs as Counterfactual Explanation Modules: Can ChatGPT Explain Black-box Text Classifiers? - Amrita Bhattacharjee; Raha Moraffah; Joshua Garland; Huan Liu 001 (CoRR, 2023)

Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text? - Amrita Bhattacharjee; Huan Liu 001 (SIGKDD Explor., 2023)

Zero-shot LLM-guided Counterfactual Generation: A Case Study on NLP Model Evaluation. - Amrita Bhattacharjee; Raha Moraffah; Joshua Garland; Huan Liu 001 (IEEE Big Data, 2024)

Do LLMs Understand Ambiguity in Text? A Case Study in Open-world Question Answering. - Aryan Keluskar; Amrita Bhattacharjee; Huan Liu (IEEE Big Data, 2024)

Defending Against Social Engineering Attacks in the Age of LLMs. - Lin Ai; Tharindu Kumarage; Amrita Bhattacharjee; Zizhou Liu; Zheng Hui; Michael Davinroy; James Cook; Laura Cassani; Kirill Trapeznikov; Matthias Kirchner; Arslan Basharat; Anthony Hoogs; et al. (EMNLP, 2024)

Large Language Models for Data Annotation and Synthesis: A Survey. - Zhen Tan 001; Dawei Li 008; Song Wang 013; Alimohammad Beigi; Bohan Jiang; Amrita Bhattacharjee; Mansooreh Karami; Jundong Li; Lu Cheng 001; Huan Liu 001 (EMNLP, 2024)

Adversarial Text Purification: A Large Language Model Approach for Defense. - Raha Moraffah; Shubh Khandelwal; Amrita Bhattacharjee; Huan Liu 001 (PAKDD (5), 2024)

ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement. - Saurabh Bhausaheb Zinjad; Amrita Bhattacharjee; Amey Bhilegaonkar; Huan Liu 001 (SIGIR, 2024)

Large Language Models for Data Annotation: A Survey. - Zhen Tan 001; Alimohammad Beigi; Song Wang 013; Ruocheng Guo; Amrita Bhattacharjee; Bohan Jiang; Mansooreh Karami; Jundong Li; Lu Cheng 001; Huan Liu 001 (CoRR, 2024)

Harnessing Artificial Intelligence to Combat Online Hate: Exploring the Challenges and Opportunities of Large Language Models in Hate Speech Detection. - Tharindu Kumarage; Amrita Bhattacharjee; Joshua Garland (CoRR, 2024)

Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales. - Ayushi Nirmal; Amrita Bhattacharjee; Paras Sheth; Huan Liu 001 (CoRR, 2024)

EAGLE: A Domain Generalization Framework for AI-generated Text Detection. - Amrita Bhattacharjee; Raha Moraffah; Joshua Garland; Huan Liu 001 (CoRR, 2024)

Zero-shot LLM-guided Counterfactual Generation for Text. - Amrita Bhattacharjee; Raha Moraffah; Joshua Garland; Huan Liu 001 (CoRR, 2024)

Efficient Reinforcement Learning via Large Language Model-based Search. - Siddhant Bhambri; Amrita Bhattacharjee; Huan Liu 001; Subbarao Kambhampati (CoRR, 2024)

Towards Inference-time Category-wise Safety Steering for Large Language Models. - Amrita Bhattacharjee; Shaona Ghosh; Traian Rebedea; Christopher Parisien (CoRR, 2024)

Do LLMs Understand Ambiguity in Text? A Case Study in Open-world Question Answering. - Aryan Keluskar; Amrita Bhattacharjee; Huan Liu 001 (CoRR, 2024)

From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge. - Dawei Li 008; Bohan Jiang; Liangjie Huang; Alimohammad Beigi; Chengshuai Zhao; Zhen Tan 001; Amrita Bhattacharjee; Yuxuan Jiang; Canyu Chen; Tianhao Wu; Kai Shu; Lu Cheng 001; et al. (CoRR, 2024)

Design and development of digital humans in virtual exhibition space. - Aakash Jain Bajaj; Amrita Bhattacharjee (Multim. Tools Appl., 2024)

SafeSteer: Interpretable Safety Steering with Refusal-Evasion in LLMs. - Shaona Ghosh; Amrita Bhattacharjee; Yftah Ziser; Christopher Parisien (CoRR, 2025)