papers

Publications (11)

cs.IR2024

WebQuest: A Benchmark for Multimodal QA on Web Page Sequences

Maria Wang, Srinivas Sunkara, Gilles Baechler +5

The rise of powerful multimodal LLMs has enhanced the viability of building web agents which can, with increasing levels of autonomy, assist users to retrieve information and compl…

cs.HC2026

Privy: Envisioning and Mitigating Privacy Risks for Consumer-facing AI Product Concepts

Hao-Ping Lee, Yu-Ju Yang, Matthew Bilik +7

AI creates and exacerbates privacy risks, yet practitioners lack effective resources to identify and mitigate these risks. We present Privy, a tool that guides practitioners withou…

cs.CL2023

Explore, Establish, Exploit: Red Teaming Language Models from Scratch

Stephen Casper, Jason Lin, Joe Kwon +2

Deploying large language models (LMs) can pose hazards from harmful outputs such as toxic or false text. Prior work has introduced automated tools that elicit harmful outputs to id…

cs.CV2023

Zorro: the masked multimodal transformer

Adrià Recasens, Jason Lin, Joāo Carreira +8

Attention-based models are appealing for multimodal processing because inputs from multiple modalities can be concatenated and fed to a single backbone network - thus requiring ver…

cs.DB2025

The NIAID Discovery Portal: A Unified Search Engine for Infectious and Immune-Mediated Disease Datasets

Ginger Tsueng, Emily Bullen, Candice Czech +18

The NIAID Data Ecosystem Discovery Portal (https://data.niaid.nih.gov) provides a unified search interface for over 4 million datasets relevant to infectious and immune-mediated di…

cs.CV2019

Interactive Classification for Deep Learning Interpretation

Ángel Alexander Cabrera, Fred Hohman, Jason Lin +1

We present an interactive system enabling users to manipulate images to explore the robustness and sensitivity of deep learning image classifiers. Using modern web technologies to…