Research Papers

Organized by date. I bolded myself as an author for clarity. Google Scholar might be more up-to-date if you are looking for very recent work.

Sparse Autoencoders for Scientifically Rigorous Interpretation of Vision Models
Samuel Stevens, Wei-Lun Chao, Tanya Berger-Wolf, Yu Su (arXiv Preprint) [paper] [website] [demos] [models]

The Cool and the Cruel: Separating Hard Parts of LWE Secrets
Niklas Nolte, Mohamed Malhou, Emily Wenger, Samuel Stevens, Cathy Li, François Charton, Kristin Lauter International Conference on Cryptology in Africa (AFRICACRYPT) [paper] [code]

Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning with Errors
Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, Francois Charton, and Kristin Lauter (TMLR 2025) [paper] [OpenReview]

BioCLIP: A Vision Foundation Model for the Tree of Life
Samuel Stevens*, Jiaman Wu*, Matthew J Thompson, Elizabeth G Campolongo, Chan Hee Song, David Edward Carlyn, Li Dong, Wasila M Dahdul, Charles Stewart, Tanya Berger-Wolf, Wei-Lun Chao, Yu Su (* equal contribution) (CVPR 2024, Best Student Paper) [paper] [website] [demo]

MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
Xiang Yue, Yuansheng Ni, Kai Zhang, Tianyu Zheng, Ruoqi Liu, Ge Zhang, Samuel Stevens, Dongfu Jiang, Weiming Ren, Yuxuan Sun, Cong Wei, Botao Yu, Ruibin Yuan, Renliang Sun, Ming Yin, Boyuan Zheng, Zhenzhu Yang, Yibo Liu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen (CVPR 2024, Best Paper Finalist) [paper] [website]

A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis
Dipanjyoti Paul, Arpita Chowdhury, Xinqi Xiong, Feng-Ju Chang, David Carlyn, Samuel Stevens, Kaiya Provost, Anuj Karpatne, Bryan Carstens, Daniel Rubenstein, Charles Stewart, Tanya Berger-Wolf, Yu Su, Wei-Lun Chao (ICLR 2024) [paper] [code]

A Framework for Autonomic Computing for In Situ Imageomics
Jenna Kline, Christopher Stewart, Tanya Berger-Wolf, Michelle Ramirez, Samuel Stevens, Reshma Ramesh Babu, Namrata Banerji, Alec Sheets, Sowbaranika Balasubramaniam, Elizabeth Campolongo, Matthew Thompson, Charles V Stewart, Maksim Kholiavchenko, Daniel I Rubenstein, Nina Van Tiel, Jackson Miliko (IEEE International Conference on Autonomic Computing and Self-Organizing Systems) [paper]

Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System
Lingbo Mo, Shijie Chen, Ziru Chen, Xiang Deng, Ashley Lewis, Sunit Singh, Samuel Stevens, Chang-You Tai, Zhen Wang, Xiang Yue, Tianshu Zhang, Yu Su, Huan Sun (24th Meeting of the Special Interest Group on Discourse and Dialogue, SIGDIAL 2023) [paper]

Mind2Web: Towards a Generalist Agent for the Web
Xiang Deng, Yu Gu, Boyuan Zheng, Shijie Chen, Samuel Stevens, Boshi Wang, Huan Sun, Yu Su (NeurIPS 2023, Spotlight) [paper] [website]

Memorization for Good: Encryption with Autoregressive Language Models
Samuel Stevens, Yu Su. (Arxiv Preprint) [paper] [website]

arXivEdits: Understanding the human revision process in scientific writing
Chao Jiang, Wu Xu, Samuel Stevens (EMNLP 2022) [paper] [code+data]

Bootstrapping a User-Centered Task-Oriented Dialogue System
Shijie Chen, Ziru Chen, Xiang Deng, Ash Lewis, Lingbo Mo, Samuel Stevens, Zhen Wang, Xiang Yue, Tianshu Zhang, Yu Su, Huan Sun. (Alexa Prize TaskBot Challenge Proceedings 2022) [paper] [website]

An Investigation of Language Model Interpretability via Sentence Editing
Samuel Stevens, Yu Su. (EMNLP BlackboxNLP 2021.) [paper] [code]

SalsaBot: Towards a Robust and Generalizable Embodied Agent
Chan Hee Song, Jiaman Wu, Ju-Seung Byeon, Zexin Xu, Vardaan Pahuja, Goonmeet Bajaj, Samuel Stevens, Ziru Chen, Yu Su (short paper at Embodied AI Workshop at CVPR 2023, long paper in Alexa Prize SimBot Challenge Proceedings 2023) [short paper] [long paper]

[Relevant link] [Source]

Sam Stevens, 2024