Phillip Howard

According to our database, Phillip Howard authored at least 22 papers between 2016 and 2024.

Collaborative distances:

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

2024

Is Your Paper Being Reviewed by an LLM? Investigating AI Text Detectability in Peer Review.

Sungduk Yu, Man Luo, Avinash Madasu, Vasudev Lal, Phillip Howard

CoRR, 2024

Quantifying and Enabling the Interpretability of CLIP-like Models.

Avinash Madasu, Yossi Gandelsman, Vasudev Lal, Phillip Howard

CoRR, 2024

SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs.

Xin Su, Man Luo, Kris W. Pan, Tien Pei Chou, Vasudev Lal, Phillip Howard

CoRR, 2024

Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals.

Phillip Howard, Kathleen C. Fraser, Anahita Bhiwandiwalla, Svetlana Kiritchenko

CoRR, 2024

Uncovering Bias in Large Vision-Language Models with Counterfactuals.

Phillip Howard, Anahita Bhiwandiwalla, Kathleen C. Fraser, Svetlana Kiritchenko

CoRR, 2024

Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning.

Xin Su, Tiep Le, Steven Bethard, Phillip Howard

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

NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge.

Phillip Howard, Junlin Wang, Vasudev Lal, Gadi Singer, Yejin Choi, Swabha Swayamdipta

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

NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation.

Shachar Rosenman, Vasudev Lal, Phillip Howard

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples.

Phillip Howard, Avinash Madasu, Tiep Le, Gustavo A. Lujan-Moreno, Anahita Bhiwandiwalla, Vasudev Lal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples.

Phillip Howard, Avinash Madasu, Tiep Le, Gustavo A. Lujan-Moreno, Anahita Bhiwandiwalla, Vasudev Lal

CoRR, 2023

Probing Intersectional Biases in Vision-Language Models with Counterfactual Examples.

Phillip Howard, Avinash Madasu, Tiep Le, Gustavo A. Lujan-Moreno, Vasudev Lal

CoRR, 2023

COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs.

Tiep Le, Vasudev Lal, Phillip Howard

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering.

Xin Su, Phillip Howard, Nagib Hakim, Steven Bethard

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation.

Phillip Howard, Gadi Singer, Vasudev Lal, Yejin Choi, Swabha Swayamdipta

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs.

Phillip Howard, Arden Ma, Vasudev Lal, Ana Paula Simões, Daniel Korat, Oren Pereg, Moshe Wasserblat, Gadi Singer

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Thrill-K Architecture: Towards a Solution to the Problem of Knowledge Based Understanding.

Gadi Singer, Joscha Bach, Tetiana Grinberg, Nagib Hakim, Phillip Ryan Howard, Vasudev Lal, Zev Rivlin

Proceedings of the Artificial General Intelligence - 15th International Conference, 2022

TempoQR: Temporal Question Reasoning over Knowledge Graphs.

Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Adesoji Adeshina, Phillip Ryan Howard, Tetiana Grinberg, Nagib Hakim, George Karypis

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

TempoQR: Temporal Question Reasoning over Knowledge Graphs.

Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Soji Adeshina, Phillip Ryan Howard, Tetiana Grinberg, Nagib Hakim, George Karypis

CoRR, 2021

InterpreT: An Interactive Visualization Tool for Interpreting Transformers.

Vasudev Lal, Arden Ma, Estelle Aflalo, Phillip Howard, Ana Paula Simões, Daniel Korat, Oren Pereg, Gadi Singer, Moshe Wasserblat

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

2018

Distinct Variation Pattern Discovery Using Alternating Nonlinear Principal Component Analysis.

Phillip Howard, Daniel W. Apley, George Runger

IEEE Trans. Neural Networks Learn. Syst., 2018

Design of experiments and response surface methodology to tune machine learning hyperparameters, with a random forest case-study.

Gustavo A. Lujan-Moreno, Phillip Ryan Howard, Omar Rojas, Douglas C. Montgomery

Expert Syst. Appl., 2018

2016

Distinct Feature Learning and Nonlinear Variation Pattern Discovery Using Regularized Autoencoders.

Phillip Ryan Howard

PhD thesis, 2016