John Licato

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 46

Top Topics

Cognitive Architecture

Imperfect Information

Top Venues

FLAIRS Conference

Publications

Onur Bilgin, John Licato
Determining Legal Relevance with LLMs using Relevance Chain Prompting. FLAIRS (2024)
Animesh Nighojkar, Kenneth Jiang, Logan Fields, Onur Bilgin, Stephen Steinle, Yernar Sadybekov, Zaid Marji, John Licato
AMHR COLIEE 2024 Entry: Legal Entailment and Retrieval. JSAI-isAI (2024)
Onur Bilgin, Logan Fields, Antonio Laverghetta, Zaid Marji, Animesh Nighojkar, Stephen Steinle, John Licato
Exploring Prompting Approaches in Legal Textual Entailment. Rev. Socionetwork Strateg. 18 (1) (2024)
Antonio Laverghetta Jr., John Licato
Generating Better Items for Cognitive Assessments Using Large Language Models. BEA@ACL (2023)
Animesh Nighojkar, Antonio Laverghetta Jr., John Licato
No Strong Feelings One Way or Another: Re-operationalizing Neutrality in Natural Language Inference. CoRR (2023)
Logan Fields, John Licato
Player Identification and Next-Move Prediction for Collectible Card Games with Imperfect Information. AIIDE (2023)
Logan Fields, John Licato
Player Identification for Collectible Card Games with Dynamic Game States. FLAIRS (2023)
Dmytro Vitel, Stephen Steinle, John Licato
Enforcing Grammar in Code Synthesis with Transformers. FLAIRS (2023)
John Licato, Logan Fields, Brayden Hollis
Code Generation for Collectible Card Games with Complex APIs. FLAIRS (2023)
Antonio Laverghetta Jr., John Licato
Developmental Negation Processing in Transformer Language Models. ACL (2) (2022)
Michael Cooper, John Licato
Transformative Research Focus Considered Harmful. AI Mag. 43 (3) (2022)
Animesh Nighojkar, Anna Khlyzova, John Licato
Cognitive Modeling of Semantic Fluency Using Transformers. CoRR (2022)
Antonio Laverghetta Jr., Animesh Nighojkar, Jamshidbek Mirzakhalov, John Licato
Predicting Human Psychometric Properties Using Computational Language Models. CoRR (2022)
Logan Fields, Zaid Marji, John Licato
Of a Different Persuasion: Perception of Minority Status and Persuasive Impact. CogSci (2022)
John Licato, Logan Fields, Zaid Marji
Resoling Open-textured Rules with Templated Interpretive Arguments. CoRR (2022)
Animesh Nighojkar, Anna Khlyzova, John Licato
Cognitive Modeling of Semantic Fluency Using Transformers. CAKR@IJCAI (2022)
Antonio Laverghetta Jr., John Licato
Developmental Negation Processing in Transformer Language Models. CoRR (2022)
Animesh Nighojkar, John Licato
Improving Paraphrase Detection with the Adversarial Paraphrasing Task. ACL/IJCNLP (1) (2021)
Antonio Laverghetta Jr., John Licato
Modeling Age of Acquisition Norms Using Transformer Networks. FLAIRS Conference (2021)
Animesh Nighojkar, John Licato
Mutual Implication as a Measure of Textual Equivalence. FLAIRS Conference (2021)
Giovanni Luca Ciampaglia, John Licato
Fact-checking, False Narratives, and Argumentation Schemes. KnOD@WWW (2021)
John Licato
How Should AI Interpret Rules? A Defense of Minimally Defeasible Interpretive Argumentation. CoRR (2021)
Elijah Malaby, John Licato
Exploring Monte Carlo Negotiation Search with Nontrivial Agreements. FLAIRS Conference (2021)
Animesh Nighojkar, John Licato
Improving Paraphrase Detection with the Adversarial Paraphrasing Task. CoRR (2021)
Antonio Laverghetta Jr., Animesh Nighojkar, Jamshidbek Mirzakhalov, John Licato
Can Transformer Language Models Predict Psychometric Properties? CoRR (2021)
Jamshidbek Mirzakhalov, Anoop Babu, Aigiz Kunafin, Ahsan Wahab, Behzodbek Moydinboyev, Sardana Ivanova, Mokhiyakhon Uzokova, Shaxnoza Pulatova, Duygu Ataman, Julia Kreutzer, Francis Tyers, Orhan Firat, John Licato, Sriram Chellappan
Evaluating Multiway Multilingual NMT in the Turkic Languages. WMT@EMNLP (2021)
Ryan Phillip Quandt, John Licato
Mood and force in defeasible arguments. Argument Comput. 12 (3) (2021)
Jamshidbek Mirzakhalov, Anoop Babu, Aigiz Kunafin, Ahsan Wahab, Behzod Moydinboyev, Sardana Ivanova, Mokhiyakhon Uzokova, Shaxnoza Pulatova, Duygu Ataman, Julia Kreutzer, Francis Tyers, Orhan Firat, John Licato, Sriram Chellappan
Evaluating Multiway Multilingual NMT in the Turkic Languages. CoRR (2021)
Antonio Laverghetta Jr., Animesh Nighojkar, Jamshidbek Mirzakhalov, John Licato
Can Transformer Language Models Predict Psychometric Properties? *SEM (2021)
Zaid Marji, John Licato
Backtracking Restarts for Deep Reinforcement Learning. FLAIRS Conference (2021)
Elijah Malaby, Bradley Dragun, John Licato
Towards Concise, Machine-Discovered Proofs of Gödel's Two Incompleteness Theorems. FLAIRS Conference (2020)
Michael Giancola, Selmer Bringsjord, Naveen Sundar Govindarajulu, John Licato
Adjudication of Symbolic & Connectionist Arguments in Autonomous Driving AI. GCAI (2020)
Elijah Malaby, Bradley Dragun, John Licato
Towards Concise, Machine-discovered Proofs of Gödel's Two Incompleteness Theorems. CoRR (2020)
Michael Cooper, Lindsay Fields, Marc Badilla, John Licato
WG-A: A Framework for Exploring Analogical Generalization and Argumentation. CogSci (2020)
Zaid Marji, Animesh Nighojkar, John Licato
Probing the Natural Language Inference Task with Automated Reasoning Tools. FLAIRS Conference (2020)
Antonio Laverghetta, Jamshidbek Mirzakhalov, John Licato
Towards a Task-Agnostic Model of Difficulty Estimation for Supervised Learning Tasks. AACL/IJCNLP (Student Research Workshop) (2020)
Zaid Marji, Animesh Nighojkar, John Licato
Probing the Natural Language Inference Task with Automated Reasoning Tools. CoRR (2020)
Selmer Bringsjord, Naveen Sundar Govindarajulu, John Licato, Michael Giancola
Learning Ex Nihilo. GCAI (2020)
John Licato, Zhitian Zhang
Correction to: Evaluating representational systems in artificial intelligence. Artif. Intell. Rev. 52 (4) (2019)
John Licato, Zhitian Zhang
Evaluating representational systems in artificial intelligence. Artif. Intell. Rev. 52 (2) (2019)
Mark Boger, Antonio Laverghetta, Nikolai Fetisov, John Licato
Generating Near and Far Analogies for Educational Applications: Progress and Challenges. ICMLA (2019)
John Licato, Zaid Marji, Sophia Abraham
Scenarios and Recommendations for Ethical Interpretive AI. CoRR (2019)
John Licato, Mark Boger, Zhitian Zhang
Developing a Dataset for Personal Attacks and Other Indicators of Biases. AAAI Spring Symposia (2018)
Bre Anne Briskey, Miriam Greidanus Romaneli, Dustin Hale, John Licato
Understanding the U-Shaped Curve: Central Claims and Applications for AI. MAICS (2017)
Maxwell Fowler, Aaron Thieme, John Licato
Robotic Misdirection, For Good Causes. MAICS (2017)
John Licato, Maxwell Fowler
Embracing Inference as Action: A Step Towards Human-Level Reasoning. AGI (2016)
Nick Marton, John Licato, Selmer Bringsjord
Creating and reasoning over scene descriptions in a physically realistic simulation. SpringSim (ADS) (2015)
John Licato
Formalizing Deceptive Reasoning in Breaking Bad: Default Reasoning in a Doxastic Logic. AAAI Fall Symposia (2015)
John Licato, Nick Marton, Boning Dong, Ron Sun, Selmer Bringsjord
Modeling the Creation and Development of Cause-Effect Pairs for Explanation Generation in a Cognitive Architecture. AIC (2015)
Konner Atkin, John Licato, Selmer Bringsjord
Modeling interoperability between a reflex and reasoning system in a physical simulation environment. SpringSim (Posters) (2015)
Selmer Bringsjord, John Licato, Naveen Sundar Govindarajulu, Rikhiya Ghosh, Atriya Sen
Real robots that pass human tests of self-consciousness. RO-MAN (2015)
Paul Bello, John Licato, Selmer Bringsjord
Constraints on freely chosen action for moral robots: Consciousness and control. RO-MAN (2015)
Naveen Sundar Govindarajulu, John Licato, Selmer Bringsjord
Toward a Formalization of QA Problem Classes. AGI (2014)
Selmer Bringsjord, Naveen Sundar Govindarajulu, Simon Ellis, Evan McCarty, John Licato
Nuclear deterrence and the logic of deliberative mindreading. Cogn. Syst. Res. 28 (2014)
John Licato, Ron Sun, Selmer Bringsjord
Using Meta-Cognition for Regulating Explanatory Quality Through a Cognitive Architecture. AIC (2014)
John Licato, Ron Sun, Selmer Bringsjord
Using a Hybrid Cognitive Architecture to Model Children's Errors in an Analogy Task. CogSci (2014)
John Licato, Ron Sun, Selmer Bringsjord
Structural representation and reasoning in a hybrid cognitive architecture. IJCNN (2014)
John Licato, Naveen Sundar Govindarajulu, Selmer Bringsjord, Michael Pomeranz, Logan Gittelson
Analogico-Deductive Generation of Gödel's First Incompleteness Theorem from the Liar Paradox. IJCAI (2013)
Naveen Sundar Govindarajulu, John Licato, Selmer Bringsjord
Small Steps toward Hypercomputation via Infinitary Machine Proof Verification and Proof Generation. UCNC (2013)
John Licato, Selmer Bringsjord
In Defense of the Neo-Piagetian Approach to Modeling and Engineering Human-Level Cognitive Systems. AAAI Fall Symposium: Advances in Cognitive Systems (2011)