Cynthia Matuszek

93 papers A* 15A 1B 10C 2Misc 5Journal 35Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Grounding Generative Evaluations of Language Models in Unsupervised Document Corpora. Trans. Mach. Learn. Res. Michael Majurski, Cynthia Matuszek
2026	J	`jnl`	Limited Linguistic Diversity in Embodied AI Datasets. CoRR Selma Wanna, Agnes Luhtaru, Jonathan Salfity, Ryan Barron, Juston Moore, Cynthia Matuszek, Mitch Pryor
2026	J	`jnl`	Query Disambiguation via Answer-Free Context: Doubling Performance on Humanity's Last Exam. CoRR Michael Majurski, Cynthia Matuszek
2026	J	`jnl`	Reporting Guidelines for Large Language Models in Human-Robot Interaction. ACM Trans. Hum. Robot Interact. Cynthia Matuszek, Tom Williams, Nicholas DePalma, Ross Mead, Ruchen Wen, Eike Schneiders, Casey Kennington, Alemitu Bezabih
2025	C	`conf`	Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix Factorization. ICAIL Ryan Calvin Barron, Maksim Ekin Eren, Olga M. Serafimova, Cynthia Matuszek, Boian S. Alexandrov
2025	J	`jnl`	Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix Factorization. CoRR Ryan Barron, Maksim Ekin Eren, Olga M. Serafimova, Cynthia Matuszek, Boian S. Alexandrov
2025	J	`jnl`	Grounding Synthetic Data Evaluations of Language Models in Unsupervised Document Corpora. CoRR Michael Majurski, Cynthia Matuszek
2025	J	`jnl`	Matrix Factorization for Inferring Associations and Missing Links. CoRR Ryan Barron, Maksim Ekin Eren, Duc P. Truong, Cynthia Matuszek, James Wendelberger, Mary F. Dorn, Boian S. Alexandrov
2025	J	`jnl`	On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms. CoRR Luke E. Richards, Jessie Yaros, Jasen Babcock, Coung Ly, Robin Cosbey, Timothy Doster, Cynthia Matuszek
2025	J	`jnl`	Scaling Patterns in Adversarial Alignment: Evidence from Multi-LLM Jailbreak Experiments. CoRR Samuel Nathanson, Rebecca Williams, Cynthia Matuszek
2025	B	`conf`	Topic Modeling and Link-Prediction for Material Property Discovery. DocEng Ryan C. Barron, Maksim Ekin Eren, Valentin G. Stanev, Cynthia Matuszek, Boian S. Alexandrov
2025	J	`jnl`	Topic Modeling and Link-Prediction for Material Property Discovery. CoRR Ryan Barron, Maksim Ekin Eren, Valentin G. Stanev, Cynthia Matuszek, Boian S. Alexandrov
2025	—	`conf`	Towards Integrated Multimodal Interaction: Merging Immersive 3D Worlds with Language Based Retrieval for 3D Scene Understanding. ICDAR@ICMR Shawn Bowser, Cynthia Matuszek, Stephanie M. Lukin
2024	—	`conf`	A Large Model's Ability to Identify 3D Objects as a Function of Viewing Angle. AIxVR Jacob Rubinstein, Francis Ferraro, Cynthia Matuszek, Don Engel
2024	B	`conf`	An Efficient PDF Malware Detection Method Using Highly Compact Features. DocEng Ran Liu, Cynthia Matuszek, Charles Nicholas
2024	—	`conf`	Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection. HPEC Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Ismael Boureima, Cynthia Matuszek, Boian S. Alexandrov
2024	J	`jnl`	Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection. CoRR Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Ismael Boureima, Cynthia Matuszek, Boian S. Alexandrov
2024	—	`conf`	Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization. ISDFS Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Selma Wanna, Nick Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek
2024	J	`jnl`	Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization. CoRR Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek
2024	J	`jnl`	Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community. CoRR Casey Kennington, Malihe Alikhani, Heather Pon-Barry, Katherine Atwell, Yonatan Bisk, Daniel Fried, Felix Gervits, Zhao Han, Mert Inan, Michael Johnston, Raj Korpan, Diane J. Litman, Matthew Marge, Cynthia Matuszek, Ross Mead, Shiwali Mohan, Raymond J. Mooney, Natalie Parde, Jivko Sinapov, Angela Stewart, Matthew Stone, Stefanie Tellex, Tom Williams
2024	C	`conf`	Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization. ICMLA Ryan Barron, Ves Grantcharov, Selma Wanna, Maksim Ekin Eren, Manish Bhattarai, Nicholas Solovyev, George Tompkins, Charles Nicholas, Kim Ø. Rasmussen, Cynthia Matuszek, Boian S. Alexandrov
2024	J	`jnl`	Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization. CoRR Ryan Barron, Ves Grantcharov, Selma Wanna, Maksim Ekin Eren, Manish Bhattarai, Nick Solovyev, George Tompkins, Charles Nicholas, Kim Ø. Rasmussen, Cynthia Matuszek, Boian S. Alexandrov
2024	B	`conf`	GPT-4 as a Moral Reasoner for Robot Command Rejection. HAI Ruchen Wen, Francis Ferraro, Cynthia Matuszek
2024	J	`jnl`	HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning. CoRR Manish Bhattarai, Ryan Barron, Maksim Ekin Eren, Minh Vu, Ves Grantcharov, Ismael Boureima, Valentin G. Stanev, Cynthia Matuszek, Vladimir I. Valtchinov, Kim Ø. Rasmussen, Boian S. Alexandrov
2024	B	`conf`	Living off the Analyst: Harvesting Features from Yara Rules for Malware Detection. IEEE Big Data Siddhant Gupta, Fred Lu, Andrew Barlow, Edward Raff, Francis Ferraro, Cynthia Matuszek, Charles Nicholas, James Holt
2024	J	`jnl`	Living off the Analyst: Harvesting Features from Yara Rules for Malware Detection. CoRR Siddhant Gupta, Fred Lu, Andrew Barlow, Edward Raff, Francis Ferraro, Cynthia Matuszek, Charles Nicholas, James Holt
2024	—	`conf`	Scarecrows in Oz: Large Language Models in HRI. HRI (Companion) Cynthia Matuszek, Nick DePalma, Ross Mead, Tom Williams, Ruchen Wen
2024	J	`jnl`	Scarecrows in Oz: The Use of Large Language Models in HRI. ACM Trans. Hum. Robot Interact. Tom Williams, Cynthia Matuszek, Ross Mead, Nick DePalma
2023	—	`conf`	A Collaborative Building Task in VR Vs. Reality. ISER Padraig Higgins, Ryan Barron, Stephanie M. Lukin, Don Engel, Cynthia Matuszek
2023	—	`conf`	A Comparative Analysis of VR-Based and Real-World Human-Robot Collaboration for Small-Scale Joining. VR Workshops Padraig Higgins, Ryan Barron, Don Engel, Cynthia Matuszek
2023	B	`conf`	A PDF Malware Detection Method Using Extremely Small Training Sample Size. DocEng Ran Liu, Cynthia Matuszek, Charles Nicholas
2023	J	`jnl`	DDxT: Deep Generative Transformer Models for Differential Diagnosis. CoRR Mohammad Mahmudul Alam, Edward Raff, Tim Oates, Cynthia Matuszek
2023	—	`conf`	Does Starting Deep Learning Homework Earlier Improve Grades? ECAI Workshops (2) Edward Raff, Cynthia Matuszek
2023	J	`jnl`	Does Starting Deep Learning Homework Earlier Improve Grades? CoRR Edward Raff, Cynthia Matuszek
2023	B	`conf`	Evaluating Representativeness in PDF Malware Datasets: A Comparative Study and a New Dataset. IEEE Big Data Ran Liu, Robert J. Joyce, Cynthia Matuszek, Charles Nicholas
2023	J	`jnl`	Measuring Equality in Machine Learning Security Defenses. CoRR Luke E. Richards, Edward Raff, Cynthia Matuszek
2023	—	`conf`	Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition. AISec@CCS Luke E. Richards, Edward Raff, Cynthia Matuszek
2023	J	`jnl`	Multimodal Language Learning for Object Retrieval in Low Data Regimes in the Face of Missing Modalities. Trans. Mach. Learn. Res. Kasra Darvish, Edward Raff, Francis Ferraro, Cynthia Matuszek
2023	A*	`conf`	Photogrammetry and VR for Comparing 2D and Immersive Linguistic Data Collection (Student Abstract). AAAI Jacob Rubinstein, Cynthia Matuszek, Don Engel
2023	—	`conf`	Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits! CAMLIS Tirth Patel, Fred Lu, Edward Raff, Charles Nicholas, Cynthia Matuszek, James Holt
2023	J	`jnl`	Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits! CoRR Tirth Patel, Fred Lu, Edward Raff, Charles Nicholas, Cynthia Matuszek, James Holt
2023	J	`jnl`	Voice in the Machine: Ethical Considerations for Language-Capable Robots. Commun. ACM Tom Williams, Cynthia Matuszek, Kristiina Jokinen, Raj Korpan, James Pustejovsky, Brian Scassellati
2022	—	`conf`	Augmenting Simulation Data with Sensor Effects for Improved Domain Transfer. ECCV Workshops (6) Adam J. Berlier, Anjali Bhatt, Cynthia Matuszek
2022	A*	`conf`	Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech. AAAI Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff, Francis Ferraro, Cynthia Matuszek
2022	J	`jnl`	Editorial: Special Issue on Robotics Collaborative Technology Alliance (RCTA) Program. Field Robotics Larry H. Matthies, Aaron M. Johnson, Monroe Kennedy, Cynthia Matuszek, Dilip Patel
2022	B	`conf`	Head Pose for Object Deixis in VR-Based Human-Robot Interaction. RO-MAN Padraig Higgins, Ryan Barron, Cynthia Matuszek
2022	A*	`conf`	Machine Learning in Human-Robot Collaboration: Bridging the Gap. HRI Cynthia Matuszek, Harold Soh, Matthew C. Gombolay, Nakul Gopalan, Reid G. Simmons, Stefanos Nikolaidis
2022	J	`jnl`	Spoken language interaction with robots: Recommendations for future research. Comput. Speech Lang. Matthew Marge, Carol Y. Espy-Wilson, Nigel G. Ward, Abeer Alwan, Yoav Artzi, Mohit Bansal, Gilmer L. Blankenship, Joyce Chai, Hal Daumé III, Debadeepta Dey, Mary P. Harper, Thomas Howard, Casey Kennington, Ivana Kruijff-Korbayová, Dinesh Manocha, Cynthia Matuszek, Ross Mead, Raymond J. Mooney, Roger K. Moore, Mari Ostendorf, Heather Pon-Barry, Alexander I. Rudnicky, Matthias Scheutz, Robert St. Amant, Tong Sun, Stefanie Tellex, David R. Traum, Zhou Yu
2021	—	`conf`	A Simulator for Human-Robot Interaction in Virtual Reality. VR Workshops Mark Murnane, Padraig Higgins, Monali Saraf, Francis Ferraro, Cynthia Matuszek, Don Engel
2021	—	`conf`	A Spoken Language Dataset of Descriptions for Speech-Based Grounded Language Learning. NeurIPS Datasets and Benchmarks Gaoussou Youssouf Kebe, Padraig Higgins, Patrick Jenkins, Kasra Darvish, Rishabh Sachdeva, Ryan Barron, John Winder, Don Engel, Edward Raff, Francis Ferraro, Cynthia Matuszek
2021	—	`conf`	Adversarial Transfer Attacks With Unknown Data and Class Overlap. AISec@CCS Luke E. Richards, André T. Nguyen, Ryan Capps, Steven Forsyth, Cynthia Matuszek, Edward Raff
2021	J	`jnl`	Adversarial Transfer Attacks With Unknown Data and Class Overlap. CoRR Luke E. Richards, André T. Nguyen, Ryan Capps, Steven Forsyth, Cynthia Matuszek, Edward Raff
2021	J	`jnl`	Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech. CoRR Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff, Francis Ferraro, Cynthia Matuszek
2021	J	`jnl`	Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery. CoRR John Boutsikas, Maksim Ekin Eren, Charles K. Varga, Edward Raff, Cynthia Matuszek, Charles Nicholas
2021	Misc	`conf`	Measuring Perceptual and Linguistic Complexity in Multilingual Grounded Language Data. FLAIRS Nisha Pillai, Cynthia Matuszek, Francis Ferraro
2021	B	`conf`	Neural Variational Learning for Grounded Language Acquisition. RO-MAN Nisha Pillai, Cynthia Matuszek, Francis Ferraro
2021	J	`jnl`	Neural Variational Learning for Grounded Language Acquisition. CoRR Nisha Pillai, Cynthia Matuszek, Francis Ferraro
2021	—	`conf`	Practical Cross-Modal Manifold Alignment for Robotic Grounded Language Learning. CVPR Workshops André T. Nguyen, Luke E. Richards, Gaoussou Youssouf Kebe, Edward Raff, Kasra Darvish, Frank Ferraro, Cynthia Matuszek
2020	A	`conf`	Learning Object Attributes with Category-Free Grounded Language from Deep Featurization. IROS Luke E. Richards, Kasra Darvish, Cynthia Matuszek
2020	A*	`conf`	Planning with Abstract Learned Models While Learning Transferable Subtasks. AAAI John Winder, Stephanie Milani, Matthew Landen, Erebus Oh, Shane Parr, Shawn Squire, Marie desJardins, Cynthia Matuszek
2020	J	`jnl`	Practical Cross-modal Manifold Alignment for Grounded Language. CoRR André T. Nguyen, Luke E. Richards, Gaoussou Youssouf Kebe, Edward Raff, Kasra Darvish, Frank Ferraro, Cynthia Matuszek
2020	J	`jnl`	Presentation and Analysis of a Multimodal Dataset for Grounded LanguageLearning. CoRR Patrick Jenkins, Rishabh Sachdeva, Gaoussou Youssouf Kebe, Padraig Higgins, Kasra Darvish, Edward Raff, Don Engel, John Winder, Francis Ferraro, Cynthia Matuszek
2020	J	`jnl`	Robots That Use Language. Annu. Rev. Control. Robotics Auton. Syst. Stefanie Tellex, Nakul Gopalan, Hadas Kress-Gazit, Cynthia Matuszek
2020	—	`conf`	Sampling Approach Matters: Active Learning for Robotic Language Acquisition. IEEE BigData Nisha Pillai, Edward Raff, Francis Ferraro, Cynthia Matuszek
2020	J	`jnl`	Sampling Approach Matters: Active Learning for Robotic Language Acquisition. CoRR Nisha Pillai, Edward Raff, Francis Ferraro, Cynthia Matuszek
2019	B	`conf`	Building Language-Agnostic Grounded Language Learning Systems. RO-MAN Caroline Kery, Nisha Pillai, Cynthia Matuszek, Francis Ferraro
2019	A*	`conf`	Inferring Robot Morphology from Observation of Unscripted Movement. ICRA Neil Bell, Brian Seipp, Tim Oates, Cynthia Matuszek
2019	—	`conf`	Learning from human-robot interactions in modeled scenes. SIGGRAPH Posters Mark Murnane, Max Breitmeyer, Francis Ferraro, Cynthia Matuszek, Don Engel
2019	J	`jnl`	Planning with Abstract Learned Models While Learning Transferable Subtasks. CoRR John Winder, Stephanie Milani, Matthew Landen, Erebus Oh, Shane Parr, Shawn Squire, Marie desJardins, Cynthia Matuszek
2019	A*	`conf`	Virtual Reality and Photogrammetry for Improved Reproducibility of Human-Robot Interaction Studies. VR Mark Murnane, Max Breitmeyer, Cynthia Matuszek, Don Engel
2018	A*	`conf`	Grounded Language Learning: Where Robotics and NLP Meet. IJCAI Cynthia Matuszek
2018	A*	`conf`	Unsupervised Selection of Negative Examples for Grounded Language Learning. AAAI Nisha Pillai, Cynthia Matuszek
2017	—	`ed.`	Proceedings of the First Workshop on Language Grounding for Robotics, RoboNLP@ACL 2017, Vancouver, Canada, August 3, 2017 RoboNLP@ACL Mohit Bansal, Cynthia Matuszek, Jacob Andreas, Yoav Artzi, Yonatan Bisk
2016	—	`conf`	Semantic Knowledge and Privacy in the Physical Web. PrivOn@ISWC Prajit Kumar Das, Abhay L. Kashyap, Gurpreet Singh, Cynthia Matuszek, Tim Finin, Anupam Joshi
2015	—	`conf`	On the Ability to Provide Demonstrations on a UAS: Observing 90 Untrained Participants Abusing a Flying Robot. AAAI Fall Symposia Mitchell Scott, Bei Peng, Madeline Chili, Tanay Nigam, Francis G. Pascual, Cynthia Matuszek, Matthew E. Taylor
2015	A*	`conf`	Unequal Representation and Gender Stereotypes in Image Search Results for Occupations. CHI Matthew Kay, Cynthia Matuszek, Sean A. Munson
2014	A*	`conf`	Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions. AAAI Cynthia Matuszek, Liefeng Bo, Luke Zettlemoyer, Dieter Fox
2014	—	`—`	Talking to Robots: Learning to Ground Human Language in Perception and Execution. Cynthia Matuszek
2012	A*	`conf`	A Joint Model of Language and Perception for Grounded Attribute Learning. ICML Cynthia Matuszek, Nicholas FitzGerald, Luke Zettlemoyer, Liefeng Bo, Dieter Fox
2012	—	`conf`	Learning to Parse Natural Language Commands to a Robot Control System. ISER Cynthia Matuszek, Evan Herbst, Luke Zettlemoyer, Dieter Fox
2012	J	`jnl`	Reports of the AAAI 2012 Conference Workshops. AI Mag. Vikas Agrawal, Jorge A. Baier, Kostas E. Bekris, Yiling Chen, Artur S. d'Avila Garcez, Pascal Hitzler, Patrik Haslum, Dietmar Jannach, Edith Law, Freddy Lécué, Luís C. Lamb, Cynthia Matuszek, Héctor Palacios, Biplav Srivastava, Lokendra Shastri, Nathan R. Sturtevant, Roni Stern, Stefanie Tellex, Stavros Vassos
2011	A*	`conf`	Gambit: An autonomous chess-playing robotic system. ICRA Cynthia Matuszek, Brian Mayton, Roberto Aimi, Marc Peter Deisenroth, Liefeng Bo, Robert Chu, Mike Kung, Louis Legrand, Joshua R. Smith, Dieter Fox
2010	A*	`conf`	Following directions using statistical machine translation. HRI Cynthia Matuszek, Dieter Fox, Karl Koscher
2009	Misc	`conf`	A spotlight on security and privacy risks with future household robots: attacks and lessons. UbiComp Tamara Denning, Cynthia Matuszek, Karl Koscher, Joshua R. Smith, Tadayoshi Kohno
2007	Misc	`conf`	Autonomous Classification of Knowledge into an Ontology. FLAIRS Matthew E. Taylor, Cynthia Matuszek, Bryan Klimt, Michael Witbrock
2007	Misc	`conf`	Guiding Inference with Policy Search Reinforcement Learning. FLAIRS Matthew E. Taylor, Cynthia Matuszek, Pace Reagan Smith, Michael Witbrock
2006	—	`conf`	An Introduction to the Syntax and Content of Cyc. AAAI Spring Symposium: Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering Cynthia Matuszek, John Cabral, Michael Witbrock, John DeOliveira
2006	Misc	`conf`	Automated Population of Cyc: Extracting Information about Named-entities from the Web. FLAIRS Purvesh Shah, David Schneider, Cynthia Matuszek, Robert C. Kahlert, Bjørn Aldag, David Baxter, John Cabral, Michael Witbrock, Jon Curtis
2006	—	`ch.`	Common Sense Reasoning - From Cyc to Intelligent Assistant. Ambient Intelligence in Everyday Kathy Panton, Cynthia Matuszek, Douglas B. Lenat, Dave Schneider, Michael Witbrock, Nick Siegel, Blake Shepard
2005	A*	`conf`	A Knowledge-Based Approach to Network Security: Applying Cyc in the Domain of Network Risk Assessment. AAAI Blake Shepard, Cynthia Matuszek, C. Bruce Fraser, William Wechtenhiser, David Crabbe, Zelal Güngördü, John Jantos, Todd Hughes, Larry Lefkowitz, Michael Witbrock, Douglas B. Lenat, Erik Larson
2005	B	`conf`	Converting Semantic Meta-knowledge into Inductive Bias. ILP John Cabral, Robert C. Kahlert, Cynthia Matuszek, Michael Witbrock, Brett Summers
2005	—	`conf`	Knowledge Begets Knowledge: Steps towards Assisted Knowledge Acquisition in Cyc. AAAI Spring Symposium: Knowledge Collection from Volunteer Contributors Michael Witbrock, Cynthia Matuszek, Antoine Brusseau, Robert C. Kahlert, C. Bruce Fraser, Douglas B. Lenat
2005	A*	`conf`	Searching for Common Sense: Populating Cyc™ from the Web. AAAI Cynthia Matuszek, Michael Witbrock, Robert C. Kahlert, John Cabral, David Schneider, Purvesh Shah, Douglas B. Lenat