Raha Moraffah - RankMe

51 papers A* 5A 2B 3Misc 1Journal 30Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DAGverse: Building Document-Grounded Semantic DAGs from Scientific Papers. CoRR Shu Wan, Saketh Vishnubhatla, Iskander Kushbay, Tom Heffernan, Aaron Belikoff, Raha Moraffah, Huan Liu
2025	—	`conf`	Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains. EMNLP (Findings) Yang Wu, Raha Moraffah, Rujing Yao, Jinhong Yu, Zhimin Tao, Xiaozhong Liu
2025	J	`jnl`	Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains. CoRR Yang Wu, Raha Moraffah, Rujing Yao, Jinhong Yu, Zhimin Tao, Xiaozhong Liu
2025	J	`jnl`	Can Large Language Models Infer Causal Relationships from Real-World Text? CoRR Ryan Saklad, Aman Chadha, Oleg V. Pavlov, Raha Moraffah
2025	—	`conf`	Lineage Diffusion Models. IEEECONF Bahman Moraffah, Raha Moraffah
2024	J	`jnl`	"Glue pizza and eat rocks" - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. CoRR Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu
2024	J	`jnl`	A Generative Approach to Surrogate-based Black-box Attacks. CoRR Raha Moraffah, Huan Liu
2024	J	`jnl`	A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization. CoRR Tharindu Kumarage, Garima Agrawal, Paras Sheth, Raha Moraffah, Aman Chadha, Joshua Garland, Huan Liu
2024	—	`conf`	Adversarial Text Purification: A Large Language Model Approach for Defense. PAKDD (5) Raha Moraffah, Shubh Khandelwal, Amrita Bhattacharjee, Huan Liu
2024	J	`jnl`	Adversarial Text Purification: A Large Language Model Approach for Defense. CoRR Raha Moraffah, Shubh Khandelwal, Amrita Bhattacharjee, Huan Liu
2024	J	`jnl`	Causal Feature Selection for Responsible Machine Learning. CoRR Raha Moraffah, Paras Sheth, Saketh Vishnubhatla, Huan Liu
2024	—	`conf`	Causal Inductive Biases for Cognitive Machine Learning. CogMI Saketh Vishnubhatla, Adrienne Raglin, Raha Moraffah, Huan Liu
2024	A	`conf`	Causality Guided Disentanglement for Cross-Platform Hate Speech Detection. WSDM Paras Sheth, Raha Moraffah, Tharindu S. Kumarage, Aman Chadha, Huan Liu
2024	B	`conf`	Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement. IEEE Big Data Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu
2024	J	`jnl`	Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement. CoRR Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu
2024	J	`jnl`	EAGLE: A Domain Generalization Framework for AI-generated Text Detection. CoRR Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu
2024	J	`jnl`	Exploiting Class Probabilities for Black-box Sentence-level Attacks. CoRR Raha Moraffah, Huan Liu
2024	A*	`conf`	Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. EMNLP Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu
2024	J	`jnl`	The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative. CoRR Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Yu Kong, Tianlong Chen, Huan Liu
2024	J	`jnl`	Zero-shot LLM-guided Counterfactual Generation for Text. CoRR Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu
2024	B	`conf`	Zero-shot LLM-guided Counterfactual Generation: A Case Study on NLP Model Evaluation. IEEE Big Data Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu
2023	J	`jnl`	Causality Guided Disentanglement for Cross-Platform Hate Speech Detection. CoRR Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu
2023	—	`conf`	ConDA: Contrastive Domain Adaptation for AI-generated Text Detection. IJCNLP (1) Amrita Bhattacharjee, Tharindu Kumarage, Raha Moraffah, Huan Liu
2023	J	`jnl`	ConDA: Contrastive Domain Adaptation for AI-generated Text Detection. CoRR Amrita Bhattacharjee, Tharindu Kumarage, Raha Moraffah, Huan Liu
2023	—	`conf`	Data Integrity and Artificial Reasoning. CogMI Adrienne Raglin, Raha Moraffah
2023	—	`conf`	How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts. EMNLP (Findings) Tharindu Kumarage, Paras Sheth, Raha Moraffah, Joshua Garland, Huan Liu
2023	J	`jnl`	How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts. CoRR Tharindu Kumarage, Paras Sheth, Raha Moraffah, Joshua Garland, Huan Liu
2023	J	`jnl`	LLMs as Counterfactual Explanation Modules: Can ChatGPT Explain Black-box Text Classifiers? CoRR Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu
2023	—	`conf`	PEACE: Cross-Platform Hate Speech Detection - A Causality-Guided Framework. ECML/PKDD (1) Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu
2023	J	`jnl`	PEACE: Cross-Platform Hate Speech Detection- A Causality-guided Framework. CoRR Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu
2023	A*	`conf`	Socially Responsible Machine Learning: A Causal Perspective. KDD Raha Moraffah, Amir-Hossein Karimi, Adrienne Raglin, Huan Liu
2023	J	`jnl`	VQA-GEN: A Visual Question Answering Benchmark for Domain Generalization. CoRR Suraj Jyothi Unni, Raha Moraffah, Huan Liu
2022	J	`jnl`	Domain Generalization - A Causal Perspective. CoRR Paras Sheth, Raha Moraffah, K. Selçuk Candan, Adrienne Raglin, Huan Liu
2022	J	`jnl`	Evaluation Methods and Measures for Causal Learning Algorithms. CoRR Lu Cheng, Ruocheng Guo, Raha Moraffah, Paras Sheth, K. Selçuk Candan, Huan Liu
2022	J	`jnl`	Evaluation Methods and Measures for Causal Learning Algorithms. IEEE Trans. Artif. Intell. Lu Cheng, Ruocheng Guo, Raha Moraffah, Paras Sheth, K. Selçuk Candan, Huan Liu
2022	B	`conf`	Exploring the Target Distribution for Surrogate-Based Black-Box Attacks. IEEE Big Data Raha Moraffah, Paras Sheth, Huan Liu
2022	A*	`conf`	Query-Efficient Target-Agnostic Black-Box Attack. ICDM Raha Moraffah, Huan Liu
2021	J	`jnl`	Causal Inference for Time series Analysis: Problems, Methods and Evaluation. CoRR Raha Moraffah, Paras Sheth, Mansooreh Karami, Anchit Bhattacharya, Qianru Wang, Anique Tahir, Adrienne Raglin, Huan Liu
2021	J	`jnl`	Causal inference for time series analysis: problems, methods and evaluation. Knowl. Inf. Syst. Raha Moraffah, Paras Sheth, Mansooreh Karami, Anchit Bhattacharya, Qianru Wang, Anique Tahir, Adrienne Raglin, Huan Liu
2020	J	`jnl`	CAN: A Causal Adversarial Network for Learning Observational and Interventional Distributions. CoRR Raha Moraffah, Bahman Moraffah, Mansooreh Karami, Adrienne Raglin, Huan Liu
2020	J	`jnl`	Causal Interpretability for Machine Learning - Problems, Methods and Evaluation. CoRR Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu
2020	J	`jnl`	Causal Interpretability for Machine Learning - Problems, Methods and Evaluation. SIGKDD Explor. Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu
2020	—	`conf`	Causality and Uncertainty of Information for Content Understanding. CogMI Adrienne Raglin, Raha Moraffah, Huan Liu
2020	Misc	`conf`	METRIC-Bayes: Measurements Estimation for Tracking in High Clutter using Bayesian Nonparametrics. ACSSC Bahman Moraffah, Christ Richmond, Raha Moraffah, Antonia Papandreou-Suppappola
2020	J	`jnl`	Use of Bayesian Nonparametric methods for Estimating the Measurements in High Clutter. CoRR Bahman Moraffah, Christ Richmond, Raha Moraffah, Antonia Papandreou-Suppappola
2019	—	`conf`	A Practical Data Repository for Causal Learning with Big Data. Bench Lu Cheng, Ruocheng Guo, Raha Moraffah, K. Selçuk Candan, Adrienne Raglin, Huan Liu
2019	J	`jnl`	Deep causal representation learning for unsupervised domain adaptation. CoRR Raha Moraffah, Kai Shu, Adrienne Raglin, Huan Liu
2018	A	`conf`	Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects. CIKM Vineeth Rakesh, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, Huan Liu
2018	J	`jnl`	Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects. CoRR Vineeth Rakesh, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, Huan Liu
2017	A*	`conf`	Database System Support for Personalized Recommendation Applications. ICDE Mohamed Sarwat, Raha Moraffah, Mohamed F. Mokbel, James L. Avery
2017	A*	`conf`	Hippo in Action: Scalable Indexing of a Billion New York City Taxi Trips and Beyond. ICDE Jia Yu, Raha Moraffah, Mohamed Sarwat