Phillip Howard

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Pattern Discovery

Integrating Multiple

Textual Entailment Recognition

Top Venues

EMNLP (Findings)

EACL (System Demonstrations)

IEEE Trans. Neural Networks Learn. Syst.

Publications

Shachar Rosenman, Vasudev Lal, Phillip Howard
NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation. EACL (Demonstrations) (2024)
Xin Su, Tiep Le, Steven Bethard, Phillip Howard
Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning. NAACL-HLT (2024)
Phillip Howard, Kathleen C. Fraser, Anahita Bhiwandiwalla, Svetlana Kiritchenko
Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals. CoRR (2024)
Xin Su, Man Luo, Kris W. Pan, Tien Pei Chou, Vasudev Lal, Phillip Howard
SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs. CoRR (2024)
Phillip Howard, Anahita Bhiwandiwalla, Kathleen C. Fraser, Svetlana Kiritchenko
Uncovering Bias in Large Vision-Language Models with Counterfactuals. CoRR (2024)
Xin Su, Phillip Howard, Nagib Hakim, Steven Bethard
Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering. CoRR (2023)
Tiep Le, Vasudev Lal, Phillip Howard
COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs. NeurIPS (2023)
Phillip Howard, Junlin Wang, Vasudev Lal, Gadi Singer, Yejin Choi, Swabha Swayamdipta
NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge. CoRR (2023)
Phillip Howard, Avinash Madasu, Tiep Le, Gustavo A. Lujan-Moreno, Vasudev Lal
Probing Intersectional Biases in Vision-Language Models with Counterfactual Examples. CoRR (2023)
Gadi Singer, Joscha Bach, Tetiana Grinberg, Nagib Hakim, Phillip Howard, Vasudev Lal, Zev Rivlin
Thrill-K Architecture: Towards a Solution to the Problem of Knowledge Based Understanding. CoRR (2023)
Shachar Rosenman, Vasudev Lal, Phillip Howard
NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation. CoRR (2023)
Xin Su, Phillip Howard, Nagib Hakim, Steven Bethard
Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering. EMNLP (Findings) (2023)
Phillip Howard, Avinash Madasu, Tiep Le, Gustavo A. Lujan-Moreno, Anahita Bhiwandiwalla, Vasudev Lal
Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples. CoRR (2023)
Xin Su, Tiep Le, Steven Bethard, Phillip Howard
Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning. CoRR (2023)
Tiep Le, Vasudev Lal, Phillip Howard
COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs. CoRR (2023)
Phillip Howard, Gadi Singer, Vasudev Lal, Yejin Choi, Swabha Swayamdipta
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation. CoRR (2022)
Phillip Howard, Arden Ma, Vasudev Lal, Ana Paula Simães, Daniel Korat, Oren Pereg, Moshe Wasserblat, Gadi Singer
Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs. CIKM (2022)
Phillip Howard, Arden Ma, Vasudev Lal, Ana Paula Simões, Daniel Korat, Oren Pereg, Moshe Wasserblat, Gadi Singer
Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs. CoRR (2022)
Phillip Howard, Gadi Singer, Vasudev Lal, Yejin Choi, Swabha Swayamdipta
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation. EMNLP (Findings) (2022)
Vasudev Lal, Arden Ma, Estelle Aflalo, Phillip Howard, Ana Simoes, Daniel Korat, Oren Pereg, Gadi Singer, Moshe Wasserblat
InterpreT: An Interactive Visualization Tool for Interpreting Transformers. EACL (System Demonstrations) (2021)
Phillip Howard, Daniel W. Apley, George Runger
Distinct Variation Pattern Discovery Using Alternating Nonlinear Principal Component Analysis. IEEE Trans. Neural Networks Learn. Syst. 29 (1) (2018)