Walking in another's shoes: aphasia emulation software. - Joshua M. Hailpern; Marina Danilevsky; Karrie Karahalios (ASSETS, 2010)

Graph Regularized Transductive Classification on Heterogeneous Information Networks. - Ming Ji; Yizhou Sun; Marina Danilevsky; Jiawei Han 001; Jing Gao 004 (ECML/PKDD (1), 2010)

ACES: aphasia emulation, realism, and the turing test. - Joshua M. Hailpern; Marina Danilevsky; Karrie Karahalios (ASSETS, 2011)

SCENE: Structural Conversation Evolution NEtwork. - Marina Danilevsky; Joshua M. Hailpern; Jiawei Han 001 (ASONAM, 2011)

ACES: promoting empathy towards aphasia through language distortion emulation software. - Joshua M. Hailpern; Marina Danilevsky; Andrew Harris; Karrie Karahalios; Gary S. Dell; Julie Hengst (CHI, 2011)

The Joint Inference of Topic Diffusion and Evolution in Social Communities. - Cindy Xide Lin; Qiaozhu Mei; Jiawei Han 001; Yunliang Jiang; Marina Danilevsky (ICDM, 2011)

Ranking-based classification of heterogeneous information networks. - Ming Ji; Jiawei Han 001; Marina Danilevsky (KDD, 2011)

WINACS: construction and analysis of web-based computer science information networks. - Tim Weninger; Marina Danilevsky; Fabio Fumarola; Joshua M. Hailpern; Jiawei Han 001; Thomas J. Johnston; Surya Kallumadi; Hyungsul Kim; Zhijin Li; David McCloskey; Yizhou Sun; Nathan E. TeGrotenhuis; et al. (SIGMOD Conference, 2011)

Efficient mining of correlated sequential patterns based on null hypothesis. - Cindy Xide Lin; Ming Ji; Marina Danilevsky; Jiawei Han 001 (Web-KRM@CIKM, 2012)

Locality Preserving Feature Learning. - Quanquan Gu; Marina Danilevsky; Zhenhui Li; Jiawei Han 001 (AISTATS, 2012)

Information graph model and application to online advertising. - Marina Danilevsky; Eunyee Koh (UEO@CIKM, 2013)

ACES: a cross-discipline platform and method for communication and language research. - Joshua M. Hailpern; Marina Danilevsky; Andrew Harris; Sunah Suh; Reed LaBotz; Karrie Karahalios (CSCW, 2013)

Constructing Topical Hierarchies in Heterogeneous Information Networks. - Chi Wang 001; Marina Danilevsky; Jialu Liu; Nihit Desai; Heng Ji 001; Jiawei Han 001 (ICDM, 2013)

Large-Scale Spectral Clustering on Graphs. - Jialu Liu; Chi Wang 001; Marina Danilevsky; Jiawei Han 001 (IJCAI, 2013)

AMETHYST: a system for mining and exploring topical hierarchies of heterogeneous data. - Marina Danilevsky; Chi Wang 001; Fangbo Tao; Son Nguyen; Gong Chen; Nihit Desai; Lidan Wang; Jiawei Han 001 (KDD, 2013)

EventCube: multi-dimensional search and mining of structured and text data. - Fangbo Tao; Kin Hou Lei; Jiawei Han 001; Chengxiang Zhai; Xiao Cheng; Marina Danilevsky; Nihit Desai; Bolin Ding; Jing Ge; Heng Ji 001; Rucha Kanade; Anne Kao; et al. (KDD, 2013)

A phrase mining framework for recursive construction of a topical hierarchy. - Chi Wang 001; Marina Danilevsky; Nihit Desai; Yinan Zhang 003; Phuong Nguyen; Thrivikrama Taula; Jiawei Han 001 (KDD, 2013)

KERT: Automatic Extraction and Ranking of Topical Keyphrases from Content-Representative Document Titles. - Marina Danilevsky; Chi Wang 001; Nihit Desai; Jingyi Guo; Jiawei Han 001 (CoRR, 2013)

Pagination: it's what you say, not how long it takes to say it. - Joshua M. Hailpern; Niranjan Damera Venkata; Marina Danilevsky (ACM Symposium on Document Engineering, 2014)

Truncation: all the news that fits we'll print. - Joshua M. Hailpern; Niranjan Damera Venkata; Marina Danilevsky (ACM Symposium on Document Engineering, 2014)

Automatic Construction and Ranking of Topical Keyphrases on Collections of Short Documents. - Marina Danilevsky; Chi Wang 001; Nihit Desai; Xiang Ren 001; Jingyi Guo; Jiawei Han 001 (SDM, 2014)

Discovering latent topical phrases in document collections and networks with text components: Leveraging text mining and information network analysis for human oriented applications - Marina Danilevsky (2014)

Generating High Quality Proposition Banks for Multilingual Semantic Role Labeling. - Alan Akbik; Laura Chiticariu; Marina Danilevsky; Yunyao Li 001; Shivakumar Vaithyanathan; Huaiyu Zhu 001 (ACL (1), 2015)

Constructing topical hierarchies in heterogeneous information networks. - Chi Wang 001; Jialu Liu; Nihit Desai; Marina Danilevsky; Jiawei Han 001 (Knowl. Inf. Syst., 2015)

Multilingual Information Extraction with PolyglotIE. - Alan Akbik; Laura Chiticariu; Marina Danilevsky; Yonas Kbrom; Yunyao Li 001; Huaiyu Zhu 001 (COLING (Demos), 2016)

A Rectangle Mining Method for Understanding the Semantics of Financial Tables. - Xilun Chen 002; Laura Chiticariu; Marina Danilevsky; Alexandre V. Evfimievski; Prithviraj Sen (ICDAR, 2017)

A Method to Accelerate Human in the Loop Clustering. - Anni Coden; Marina Danilevsky; Daniel Gruhl; Linda Kato; Meena Nagarajan (SDM, 2017)

Creation and Interaction with Large-scale Domain-Specific Knowledge Bases. - Shreyas Bharadwaj; Laura Chiticariu; Marina Danilevsky; Samarth Dhingra; Samved Divekar; Arnaldo Carreno-Fuentes; Himanshu Gupta; Nitin Gupta 005; Sang-Don Han; Mauricio A. Hernández; Howard Ho; Parag Jain; et al. (Proc. VLDB Endow., 2017)

DIMSIM: An Accurate Chinese Phonetic Similarity Algorithm Based on Learned High Dimensional Encoding. - Min Li; Marina Danilevsky; Sara Noeman; Yunyao Li 001 (CoNLL, 2018)

SystemT: Declarative Text Understanding for Enterprise. - Laura Chiticariu; Marina Danilevsky; Yunyao Li 001; Frederick Reiss 001; Huaiyu Zhu 001 (NAACL-HLT (3), 2018)

Web Information Extraction. - Laura Chiticariu; Marina Danilevsky; Howard Ho; Rajasekar Krishnamurthy; Yunyao Li 001; Sriram Raghavan; Frederick Reiss 001; Shivakumar Vaithyanathan; Huaiyu Zhu 001 (Encyclopedia of Database Systems (2nd ed.), 2018)

Active Learning for BERT: An Empirical Study. - Liat Ein-Dor; Alon Halfon; Ariel Gera; Eyal Shnarch; Lena Dankin; Leshem Choshen; Marina Danilevsky; Ranit Aharonov; Yoav Katz; Noam Slonim (EMNLP (1), 2020)

Learning Explainable Linguistic Expressions with Neural Inductive Logic Programming for Sentence Classification. - Prithviraj Sen; Marina Danilevsky; Yunyao Li 001; Siddhartha Brahma; Matthias Boehm 001; Laura Chiticariu; Rajasekar Krishnamurthy (EMNLP (1), 2020)

A Survey of the State of Explainable AI for Natural Language Processing. - Marina Danilevsky; Kun Qian 002; Ranit Aharonov; Yannis Katsis; Ban Kawas; Prithviraj Sen (AACL/IJCNLP, 2020)

WhyFlow: Explaining Errors in Data Flows Interactively. - Maeda F. Hanafi; Azza Abouzied; Marina Danilevsky; Yunyao Li 001 (DaSH@KDD, 2020)

Table Extraction and Understanding for Scientific and Enterprise Applications. - Doug Burdick; Marina Danilevsky; Alexandre V. Evfimievski; Yannis Katsis; Nancy Xin Ru Wang (Proc. VLDB Endow., 2020)

Making AI Machines Work for Humans in FoW. - Sihem Amer-Yahia; Senjuti Basu Roy; Lei Chen 002; Atsuyuki Morishima; James Abello Monedero; Pierre Bourhis; François Charoy; Marina Danilevsky; Gautam Das 001; Gianluca Demartini; Shady Elbassuoni; David Gross-Amblard; et al. (SIGMOD Rec., 2020)

XNLP: A Living Survey for XAI Research in Natural Language Processing. - Kun Qian 002; Marina Danilevsky; Yannis Katsis; Ban Kawas; Erick Oduor; Lucian Popa 001; Yunyao Li 001 (IUI Companion, 2021)

Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models. - Soya Park; April Yi Wang; Ban Kawas; Q. Vera Liao; David Piorkowski; Marina Danilevsky (IUI, 2021)

Explainability for Natural Language Processing. - Marina Danilevsky; Shipi Dhanorkar; Yunyao Li 001; Lucian Popa 001; Kun Qian 002; Anbang Xu (KDD, 2021)

Development of an Enterprise-Grade Contract Understanding System. - Arvind Agarwal; Laura Chiticariu; Poornima Chozhiyath Raman; Marina Danilevsky; Diman Ghazi; Ankush Gupta; Shanmukha C. Guttula; Yannis Katsis; Rajasekar Krishnamurthy; Yunyao Li 001; Shubham Mudgal; Vitobha Munigala; et al. (NAACL-HLT (Industry Papers), 2021)

SemEval-2021 Task 9: Fact Verification and Evidence Finding for Tabular Data in Scientific Documents (SEM-TAB-FACTS). - Nancy Xin Ru Wang; Diwakar Mahajan; Marina Danilevsky; Sara Rosenthal (SemEval@ACL/IJCNLP, 2021)

Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming. - Ayush Maheshwari; KrishnaTeja Killamsetty; Ganesh Ramakrishnan; Rishabh K. Iyer; Marina Danilevsky; Lucian Popa 001 (ACL (Findings), 2022)

Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours. - Eyal Shnarch; Alon Halfon; Ariel Gera; Marina Danilevsky; Yannis Katsis; Leshem Choshen; Martín Santillán Cooper; Dina Epelboim; Zheng Zhang 043; Dakuo Wang (EMNLP (Demos), 2022)

Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours. - Eyal Shnarch; Alon Halfon; Ariel Gera; Marina Danilevsky; Yannis Katsis; Leshem Choshen; Martín Santillán Cooper; Dina Epelboim; Zheng Zhang 043; Dakuo Wang; Lucy Yip; Liat Ein-Dor; et al. (CoRR, 2022)

PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation. - Ishan Jindal; Alexandre Rademaker; Khoi-Nguyen Tran; Huaiyu Zhu 001; Hiroshi Kanayama; Marina Danilevsky; Yunyao Li 001 (EACL (Findings), 2023)

Semi-Structured Object Sequence Encoders. - Rudra Murthy V; Riyaz A. Bhat; R. Chulaka Gunasekara; Siva Sankalp Patel; Hui Wan 001; Tejas I. Dhamecha; Danish Contractor; Marina Danilevsky (EMNLP (Findings), 2023)

How Can Context Help? Exploring Joint Retrieval of Passage and Personalized Context. - Hui Wan; Hongkang Li; Songtao Lu; Xiaodong Cui; Marina Danilevsky (CoRR, 2023)

Evaluating Robustness of Dialogue Summarization Models in the Presence of Naturally Occurring Variations. - Ankita Gupta; R. Chulaka Gunasekara; Hui Wan 001; Jatin Ganhotra; Sachindra Joshi; Marina Danilevsky (CoRR, 2023)

How Can Personalized Context Help? Exploring Joint Retrieval of Passage and Personalized Context. - Hui Wan; Hongkang Li; Songtao Lu; Xiaodong Cui; Marina Danilevsky (ICASSP, 2024)

InspectorRAGet: An Introspection Platform for RAG Evaluation. - Kshitij Fadnis; Siva Sankalp Patel; Odellia Boni; Yannis Katsis; Sara Rosenthal; Benjamin Sznajder; Marina Danilevsky (CoRR, 2024)

Emerging Reliance Behaviors in Human-AI Text Generation: Hallucinations, Data Quality Assessment, and Cognitive Forcing Functions. - Zahra Ashktorab; Qian Pan; Werner Geyer; Michael Desmond; Marina Danilevsky; James M. Johnson; Casey Dugan; Michelle Brachman (CoRR, 2024)

Creating Conversational Datasets for Retrieval-Augmented Generation Applications is Hard: Challenges & Research Opportunities. - Maeda F. Hanafi; Kshitij Fadnis; Marina Danilevsky; Sara Rosenthal; Yannis Katsis (CHI Extended Abstracts, 2025)

Emerging Reliance Behaviors in Human-AI Content Grounded Data Generation: The Role of Cognitive Forcing Functions and Hallucinations. - Zahra Ashktorab; Michael Desmond; Qian Pan; James Johnson; Michelle Brachman; Casey Dugan; Marina Danilevsky; Werner Geyer (CHIWORK, 2025)

DELIFT: Data Efficient Language model Instruction Fine-Tuning. - Ishika Agarwal; Krishnateja Killamsetty; Lucian Popa 001; Marina Danilevsky (ICLR, 2025)

mtRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation Systems. - Yannis Katsis; Sara Rosenthal; Kshitij Fadnis; Chulaka Gunasekara; Young-Suk Lee 001; Lucian Popa 001; Vraj Shah; Huaiyu Zhu 001; Danish Contractor; Marina Danilevsky (Trans. Assoc. Comput. Linguistics, 2025)

A Library of LLM Intrinsics for Retrieval-Augmented Generation. - Marina Danilevsky; Kristjan Greenewald; R. Chulaka Gunasekara; Maeda F. Hanafi; Lihong He 001; Yannis Katsis; Krishnateja Killamsetty; Yatin Nandwani; Lucian Popa 001; Dinesh Raghu; Frederick Reiss 001; Vraj Shah; et al. (CoRR, 2025)