Howard, Phillip

10 publications

ICLR 2026 Is Your Paper Being Reviewed by an LLM? Benchmarking AI Text Detection in Peer Review Sungduk Yu, Man Luo, Avinash Madasu, Vasudev Lal, Phillip Howard

ICLR 2026 P-Less Sampling: A Robust Hyperparameter-Free Approach for LLM Decoding Runyan Tan, Shuang Wu, Phillip Howard

ICLR 2026 Scaling Knowledge Graph Construction Through Synthetic Data Generation and Distillation Prafulla Kumar Choubey, Xin Su, Man Luo, Xiangyu Peng, Caiming Xiong, Tiep Le, Shachar Rosenman, Vasudev Lal, Phil L Mui, Ricky Ho, Phillip Howard, Chien-Sheng Wu

NeurIPS 2025 A Semantic Parsing Framework for End-to-End Time Normalization Xin Su, Sungduk Yu, Phillip Howard, Steven Bethard

CVPRW 2025 Analyzing Hierarchical Structure in Vision Models with Sparse Autoencoders Matthew Lyle Olson, Musashi Hinck, Neale Ratzlaff, Changbai Li, Phillip Howard, Vasudev Lal, Shao-Yen Tseng

ICML 2025 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

NeurIPSW 2024 Debiasing Large Vision-Language Models by Ablating Protected Attribute Representations Neale Ratzlaff, Matthew Lyle Olson, Musashi Hinck, Shao-Yen Tseng, Vasudev Lal, Phillip Howard

NeurIPSW 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

CVPR 2024 SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples Phillip Howard, Avinash Madasu, Tiep Le, Gustavo Lujan Moreno, Anahita Bhiwandiwalla, Vasudev Lal

NeurIPS 2023 COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs Tiep Le, Vasudev Lal, Phillip Howard