Palash Goyal

According to our database, Palash Goyal authored at least 47 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MICo: Preventative Detoxification of Large Language Models through Inhibition Control.

Roy Siegelmann, Ninareh Mehrabi, Palash Goyal, Prasoon Goyal, Lisa Bauer, Jwala Dhamala, Aram Galstyan, Rahul Gupta, Reza Ghanadan

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies.

Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Yuval Pinter, Rahul Gupta

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

The steerability of large language models toward data-driven personas.

Junyi Li, Charith Peris, Ninareh Mehrabi, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models.

Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification.

Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard S. Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

FLIRT: Feedback Loop In-context Red Teaming.

Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Editorial: Deep learning with limited labeled data for vision, audio, and text.

Marko Orescanin, Leslie N. Smith, Saurabh Sahu, Palash Goyal, Sujit Rokka Chhetri

Frontiers Artif. Intell., February, 2023

Are you talking to ['xem'] or ['x', 'em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity.

Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta

CoRR, 2023

JAB: Joint Adversarial Prompting and Belief Augmentation.

Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Jwala Dhamala, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta

CoRR, 2023

Incorporating Fairness in Large Scale NLU Systems.

Rahul Gupta, Lisa Bauer, Kai-Wei Chang, Jwala Dhamala, Aram Galstyan, Palash Goyal, Qian Hu, Avni Khatri, Rohit Parimi, Charith Peris, Apurv Verma, Richard S. Zemel, Prem Natarajan

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation.

Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Faithful Model Evaluation for Model-Based Metrics.

Qian Hu, Palash Goyal, Rahul Gupta

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Resolving Ambiguities in Text-to-Image Generative Models.

Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models.

Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta

CoRR, 2022

Leveraging Local Temporal Information for Multimodal Scene Classification.

Saurabh Sahu, Palash Goyal

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

ArduCode: Predictive Framework for Automation Engineering.

Arquimedes Canedo, Palash Goyal, Di Huang, Amit Pandey, Gustavo Quiros

IEEE Trans Autom. Sci. Eng., 2021

Pykg2vec: A Python Library for Knowledge Graph Embedding.

Shih-Yuan Yu, Sujit Rokka Chhetri, Arquimedes Canedo, Palash Goyal, Mohammad Abdullah Al Faruque

J. Mach. Learn. Res., 2021

Can't Fool Me: Adversarially Robust Transformer for Video Understanding.

Divya Choudhary, Palash Goyal, Saurabh Sahu

CoRR, 2021

Enhancing Transformer for Video Understanding Using Gated Multi-Level Attention and Temporal Adversarial Training.

Saurabh Sahu, Palash Goyal

CoRR, 2021

Hierarchical Class-Based Curriculum Loss.

Palash Goyal, Divya Choudhary, Shalini Ghosh

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Graph embedding algorithms for attributed and temporal graphs.

Palash Goyal

SIGWEB Newsl., 2020

dyngraph2vec: Capturing network dynamics using dynamic graph representation learning.

Palash Goyal, Sujit Rokka Chhetri, Arquimedes Canedo

Knowl. Based Syst., 2020

Hierarchical Class-Based Curriculum Loss.

Palash Goyal, Shalini Ghosh

CoRR, 2020

Cross-modal Learning for Multi-modal Video Categorization.

Palash Goyal, Saurabh Sahu, Shalini Ghosh, Chul Lee

CoRR, 2020

Exploiting Temporal Coherence for Multi-modal Video Categorization.

Palash Goyal, Saurabh Sahu, Shalini Ghosh, Chul Lee

CoRR, 2020

Cross-modal Non-linear Guided Attention and Temporal Coherence in Multi-modal Deep Video Models.

Saurabh Sahu, Palash Goyal, Shalini Ghosh, Chul Lee

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Graph Representation Ensemble Learning.

Palash Goyal, Sachin Raja, Di Huang, Sujit Rokka Chhetri, Arquimedes Canedo, Ajoy Mondal, Jaya Shree, C. V. Jawahar

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

Modeling Dialogues with Hashcode Representations: A Nonparametric Approach.

Sahil Garg, Irina Rish, Guillermo A. Cecchi, Palash Goyal, Sarik Ghazarian, Shuyang Gao, Greg Ver Steeg, Aram Galstyan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Deep Neural Networks for Optimal Team Composition.

Anna Sapienza, Palash Goyal, Emilio Ferrara

Frontiers Big Data, 2019

ArduCode: Predictive Framework for Automation Engineering.

Arquimedes Canedo, Palash Goyal, Di Huang, Amit Pandey

CoRR, 2019

Graph Representation Ensemble Learning.

Palash Goyal, Di Huang, Sujit Rokka Chhetri, Arquimedes Canedo, Jaya Shree, Evan Patterson

CoRR, 2019

Benchmarks for Graph Embedding Evaluation.

Palash Goyal, Di Huang, Ankita Goswami, Sujit Rokka Chhetri, Arquimedes Canedo, Emilio Ferrara

CoRR, 2019

Tracking Temporal Evolution of Graphs using Non-Timestamped Data.

Sujit Rokka Chhetri, Palash Goyal, Arquimedes Canedo

Proceedings of the 30th ACM Conference on Hypertext and Social Media, 2019

2018

Capturing Edge Attributes via Network Embedding.

Palash Goyal, Homa Hosseinmardi, Emilio Ferrara, Aram Galstyan

IEEE Trans. Comput. Soc. Syst., 2018

Graph embedding techniques, applications, and performance: A survey.

Palash Goyal, Emilio Ferrara

Knowl. Based Syst., 2018

GEM: A Python package for graph embedding methods.

Palash Goyal, Emilio Ferrara

J. Open Source Softw., 2018

DynamicGEM: A Library for Dynamic Graph Embedding Methods.

Palash Goyal, Sujit Rokka Chhetri, Ninareh Mehrabi, Emilio Ferrara, Arquimedes Canedo

CoRR, 2018

Future Automation Engineering using Structural Graph Convolutional Neural Networks.

Jiang Wan, Blake S. Pollard, Sujit Rokka Chhetri, Palash Goyal, Mohammad Abdullah Al Faruque, Arquimedes Canedo

CoRR, 2018

Discovering Signals from Web Sources to Predict Cyber Attacks.

Palash Goyal, K. S. M. Tozammel Hossain, Ashok Deb, Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk, Emilio Ferrara, Kristina Lerman

CoRR, 2018

DynGEM: Deep Embedding Method for Dynamic Graphs.

Palash Goyal, Nitin Kamra, Xinran He, Yan Liu

CoRR, 2018

Dialogue Modeling Via Hash Functions.

Sahil Garg, Guillermo A. Cecchi, Irina Rish, Shuyang Gao, Greg Ver Steeg, Sarik Ghazarian, Palash Goyal, Aram Galstyan

Proceedings of the Linguistic and Cognitive Approaches To Dialog Agents Workshop co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), 2018

Modeling Evolution of Topics in Large-Scale Temporal Text Corpora.

Elaheh Momeni, Shanika Karunasekera, Palash Goyal, Kristina Lerman

Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Recommending Teammates with Deep Neural Networks.

Palash Goyal, Anna Sapienza, Emilio Ferrara

Proceedings of the 29th on Hypertext and Social Media, 2018

Embedding Networks with Edge Attributes.

Palash Goyal, Homa Hosseinmardi, Emilio Ferrara, Aram Galstyan

Proceedings of the 29th on Hypertext and Social Media, 2018

DarkEmbed: Exploit Prediction With Neural Language Models.

Nazgol Tavabi, Palash Goyal, Mohammed Almukaynizi, Paulo Shakarian, Kristina Lerman

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

OReONet: Deep convolutional network for oil reservoir optimization.

Chung Ming Cheung, Palash Goyal, Viktor K. Prasanna, Arash Saber Tehrani

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Facial Emotion Recognition from Kinect Data - An Appraisal of Kinect Face Tracking Library.

Tanwi Mallick, Palash Goyal, Partha Pratim Das, Arun Kumar Majumdar

Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016