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ORCIDVasanth Sarathy
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2020 – today
- 2024
[c20]Yash Shukla, Wenchang Gao, Vasanth Sarathy, Alvaro Velasquez, Robert Wright, Jivko Sinapov:
LgTS: Dynamic Task Sampling using LLM-generated Sub-Goals for Reinforcement Learning Agents. AAMAS 2024: 1736-1744- [c19]Noam K. Benkler, Scott Friedman, Sonja Schmer-Galunder, Drisana Marissa Mosaphir, Robert P. Goldman, Ruta Wheelock, Vasanth Sarathy, Pavan Kantharaju, Matthew D. McLure:
Recognizing Value Resonance with Resonance-Tuned RoBERTa Task Definition, Experimental Validation, and Robust Modeling. LREC/COLING 2024: 13688-13698 - [c18]Muhammad Umair, Vasanth Sarathy, Jan Peter de Ruiter:
Large Language Models Know What To Say But Not When To Speak. EMNLP (Findings) 2024: 15503-15514 - [i10]Kaveh Eskandari Miandoab, Vasanth Sarathy:
"Let's Argue Both Sides": Argument Generation Can Force Small Models to Utilize Previously Inaccessible Reasoning Capabilities. CoRR abs/2410.12997 (2024) - [i9]Muhammad Umair, Vasanth Sarathy, Jp de Ruiter:
Large Language Models Know What To Say But Not When To Speak. CoRR abs/2410.16044 (2024) - 2023
- [c17]Scott E. Friedman, Sonja Schmer-Galunder, Vasanth Sarathy, Ruta Wheelock, Matthew D. McLure, Drisana Mosaphir, Robert P. Goldman, Noam Benkler, Pavan Kantharaju, Micah B. Goldwater, Cristine H. Legare:
Mapping a Plurality of Explanations with NLP: A Case Study of Mothers and Health Workers in India. CogSci 2023 - [i8]Yash Shukla, Wenchang Gao, Vasanth Sarathy, Alvaro Velasquez, Robert Wright, Jivko Sinapov:
LgTS: Dynamic Task Sampling using LLM-generated sub-goals for Reinforcement Learning Agents. CoRR abs/2310.09454 (2023) - 2022
- [c16]Vasanth Sarathy, Matthias Scheutz:
BIPLEX: Creative Problem-Solving by Planning for Experimentation. ICCC 2022: 141-149 - [c15]Shivam Goel, Yash Shukla, Vasanth Sarathy, Matthias Scheutz, Jivko Sinapov:
RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments. ICDL 2022: 15-22 - [c14]Noam Benkler, Scott Friedman, Sonja Schmer-Galunder, Drisana Mosaphir, Vasanth Sarathy, Pavan Kantharaju, Matthew D. McLure, Robert P. Goldman:
Cultural Value Resonance in Folktales: A Transformer-Based Analysis with the World Value Corpus. SBP-BRiMS 2022: 209-218 - [i7]Scott E. Friedman, Ian H. Magnusson, Vasanth Sarathy, Sonja Schmer-Galunder:
From Unstructured Text to Causal Knowledge Graphs: A Transformer-Based Approach. CoRR abs/2202.11768 (2022) - [i6]Shivam Goel, Yash Shukla, Vasanth Sarathy, Matthias Scheutz, Jivko Sinapov:
RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments. CoRR abs/2206.12493 (2022) - 2021
- [c13]Muhammad Faizan, Vasanth Sarathy, Gyan Tatiya, Shivam Goel, Saurav Gyawali, Mateo Guaman Castro, Jivko Sinapov, Matthias Scheutz:
A Novelty-Centric Agent Architecture for Changing Worlds. AAMAS 2021: 925-933 - [c12]Vasanth Sarathy, Daniel Kasenberg, Shivam Goel, Jivko Sinapov, Matthias Scheutz:
SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning. AAMAS 2021: 1118-1126 - 2020
- [c11]Vasanth Sarathy, Alexander Tsuetaki, Antonio Roque, Matthias Scheutz
:
Reasoning Requirements for Indirect Speech Act Interpretation. COLING 2020: 4937-4948 - [c10]Antonio Roque, Alexander Tsuetaki, Vasanth Sarathy, Matthias Scheutz:
Developing a Corpus of Indirect Speech Act Schemas. LREC 2020: 220-228 - [i5]Vasanth Sarathy, Daniel Kasenberg, Shivam Goel, Jivko Sinapov, Matthias Scheutz:
SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning. CoRR abs/2012.13037 (2020)
2010 – 2019
- 2019
- [j2]Vasanth Sarathy, Thomas Arnold, Matthias Scheutz:
When Exceptions Are the Norm: Exploring the Role of Consent in HRI. ACM Trans. Hum. Robot Interact. 8(3): 14:1-14:21 (2019) - [c9]Vasanth Sarathy, Matthias Scheutz:
On Resolving Ambiguous Anaphoric Expressions in Imperative Discourse. AAAI 2019: 6957-6964 - [c8]Naveen Sundar Govindarajulu, Selmer Bringsjord, Rikhiya Ghosh, Vasanth Sarathy:
Toward the Engineering of Virtuous Machines. AIES 2019: 29-35 - [c7]Vasanth Sarathy:
Learning Context-Sensitive Norms under Uncertainty. AIES 2019: 539-540 - [i4]Vasanth Sarathy, Thomas Arnold, Matthias Scheutz:
When Exceptions are the Norm: Exploring the Role of Consent in HRI. CoRR abs/1902.01320 (2019) - 2018
- [j1]Vasanth Sarathy, Matthias Scheutz:
A Logic-Based Computational Framework for Inferring Cognitive Affordances. IEEE Trans. Cogn. Dev. Syst. 10(1): 26-43 (2018) - [c6]Evana Gizzi, Lisa Le Vie, Matthias Scheutz, Vasanth Sarathy, Jivko Sinapov:
A Generalized Framework for Detecting Anomalies in Real-Time Using Contextual Information. MRC@IJCAI 2018: 1-7 - [i3]Daniel Kasenberg, Vasanth Sarathy, Thomas Arnold, Matthias Scheutz, Tom Williams:
Quasi-Dilemmas for Artificial Moral Agents. CoRR abs/1807.02572 (2018) - 2017
- [c5]Vasanth Sarathy, Matthias Scheutz, Bertram F. Malle:
Learning behavioral norms in uncertain and changing contexts. CogInfoCom 2017: 301-306 - [c4]Vasanth Sarathy, Matthias Scheutz, Yoed N. Kenett, Mowafak Allaham, Joseph L. Austerweil, Bertram F. Malle:
Mental Representations and Computational Modeling of Context-Specific Human Norm Systems. CogSci 2017 - [i2]Vasanth Sarathy, Matthias Scheutz:
The MacGyver Test - A Framework for Evaluating Machine Resourcefulness and Creative Problem Solving. CoRR abs/1704.08350 (2017) - 2016
- [c3]Vasanth Sarathy:
Inferring Higher-Order Affordances for more Natural Human-Robot Collaboration. HRI 2016: 637-638 - [c2]Vasanth Sarathy, Matthias Scheutz:
Beyond grasping - perceiving affordances across various stages of cognitive development. ICDL-EPIROB 2016: 180-185 - [c1]Vasanth Sarathy, Matthias Scheutz:
Cognitive Affordance Representations in Uncertain Logic. KR 2016: 597-600 - [i1]Vasanth Sarathy, Jason R. Wilson, Thomas Arnold, Matthias Scheutz:
Enabling Basic Normative HRI in a Cognitive Robotic Architecture. CoRR abs/1602.03814 (2016)
Coauthor Index
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