Prasoon Goyal

Orcid: 0000-0003-3121-1241

According to our database1, Prasoon Goyal authored at least 22 papers between 2013 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
Adversarial Arena: Crowdsourcing Data Generation through Interactive Competition.
CoRR, April, 2026

Addressing LLM Diversity by Infusing Random Concepts.
CoRR, January, 2026

2025
From Narrow Unlearning to Emergent Misalignment: Causes, Consequences, and Containment in LLMs.
CoRR, November, 2025

Amazon Nova AI Challenge - Trusted AI: Advancing secure, AI-assisted software development.
CoRR, August, 2025

Is the House Ready For Sleeptime? Generating and Evaluating Situational Queries for Embodied Question Answering.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

2024
"Don't Forget to Put the Milk Back!" Dataset for Enabling Embodied Agents to Detect Anomalous Situations.
IEEE Robotics Autom. Lett., October, 2024

S-EQA: Tackling Situational Queries in Embodied Question Answering.
CoRR, 2024

MICo: Preventative Detoxification of Large Language Models through Inhibition Control.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

2023
Alexa, play with robot: Introducing the First Alexa Prize SimBot Challenge on Embodied AI.
CoRR, 2023

Language-guided Task Adaptation for Imitation Learning.
CoRR, 2023

2022
CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning.
CoRR, 2022

2021
Zero-shot Task Adaptation using Natural Language.
CoRR, 2021

2020
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Using Natural Language for Reward Shaping in Reinforcement Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2017
Nonparametric Variational Auto-encoders for Hierarchical Representation Learning.
CoRR, 2017

Nonparametric Variational Auto-Encoders for Hierarchical Representation Learning.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Transliterated Mobile Keyboard Input via Weighted Finite-State Transducers.
Proceedings of the 13th International Conference on Finite State Methods and Natural Language Processing, 2017

2016
End to End Learning for Self-Driving Cars.
CoRR, 2016

2015
Voted Kernel Regularization.
CoRR, 2015

Kernel Extraction via Voted Risk Minimization.
Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

2014
New Rules for Domain Independent Lifted MAP Inference.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Local Deep Kernel Learning for Efficient Non-linear SVM Prediction.
Proceedings of the 30th International Conference on Machine Learning, 2013


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