Grounding language acquisition by training semantic parsers using captioned videos. - Candace Ross; Andrei Barbu; Yevgeni Berzak; Battushig Myanganbayar; Boris Katz (EMNLP, 2018)

Learning Language from Vision. - Candace Ross; Cheahuychou Mao; Boris Katz; Andrei Barbu (ViGIL@NeurIPS, 2019)

Learning a natural-language to LTL executable semantic parser for grounded robotics. - Christopher Wang; Candace Ross; Yen-Ling Kuo; Boris Katz; Andrei Barbu (CoRL, 2020)

Measuring Social Biases in Grounded Vision and Language Embeddings. - Candace Ross; Boris Katz; Andrei Barbu (NAACL-HLT, 2021)

Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality. - Tristan Thrush; Ryan Jiang; Max Bartolo; Amanpreet Singh; Adina Williams; Douwe Kiela; Candace Ross (CVPR, 2022)

Perturbation Augmentation for Fairer NLP. - Rebecca Qian; Candace Ross; Jude Fernandes; Eric Michael Smith; Douwe Kiela; Adina Williams (EMNLP, 2022)

CM3: A Causal Masked Multimodal Model of the Internet. - Armen Aghajanyan; Bernie Huang; Candace Ross; Vladimir Karpukhin; Hu Xu 001; Naman Goyal 001; Dmytro Okhonko; Mandar Joshi; Gargi Ghosh; Mike Lewis; Luke Zettlemoyer (CoRR, 2022)

Learning Language with Multimodal Models - Candace Ross (2022)

FACET: Fairness in Computer Vision Evaluation Benchmark. - Laura Gustafson; Chloé Rolland; Nikhila Ravi; Quentin Duval; Aaron Adcock; Cheng-Yang Fu; Melissa Hall; Candace Ross (ICCV, 2023)

Vision-Language Models Performing Zero-Shot Tasks Exhibit Disparities Between Gender Groups. - Melissa Hall; Laura Gustafson; Aaron Adcock; Ishan Misra; Candace Ross (ICCV (Workshops), 2023)

Vision-Language Models Performing Zero-Shot Tasks Exhibit Gender-based Disparities. - Melissa Hall; Laura Gustafson; Aaron Adcock; Ishan Misra; Candace Ross (CoRR, 2023)

Towards Reliable Assessments of Demographic Disparities in Multi-Label Image Classifiers. - Melissa Hall; Bobbie Chern; Laura Gustafson; Denisse Ventura; Harshad Kulkarni; Candace Ross; Nicolas Usunier (CoRR, 2023)

Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning. - Lili Yu; Bowen Shi; Ramakanth Pasunuru; Benjamin Muller; Olga Golovneva; Tianlu Wang; Arun Babu; Binh Tang; Brian Karrer; Shelly Sheynin; Candace Ross; Adam Polyak; et al. (CoRR, 2023)

Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision. - Nicholas Lui; Bryan Chia; William Berrios; Candace Ross; Douwe Kiela (AAAI, 2024)

Improving Geo-Diversity of Generated Images with Contextualized Vendi Score Guidance. - Reyhane Askari Hemmat; Melissa Hall; Alicia Sun; Candace Ross; Michal Drozdzal; Adriana Romero-Soriano (ECCV (87), 2024)

Towards Geographic Inclusion in the Evaluation of Text-to-Image Models. - Melissa Hall; Samuel J. Bell; Candace Ross; Adina Williams; Michal Drozdzal; Adriana Romero-Soriano (FAccT, 2024)

[Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus. - Leshem Choshen; Ryan Cotterell; Michael Y. Hu; Tal Linzen; Aaron Mueller; Candace Ross; Alex Warstadt; Ethan Wilcox; Adina Williams; Chengxu Zhuang (CoRR, 2024)

An Introduction to Vision-Language Modeling. - Florian Bordes; Richard Yuanzhe Pang; Anurag Ajay; Alexander C. Li; Adrien Bardes; Suzanne Petryk; Oscar Mañas; Zhiqiu Lin; Anas Mahmoud 002; Bargav Jayaraman; Mark Ibrahim; Melissa Hall; et al. (CoRR, 2024)

Changing Answer Order Can Decrease MMLU Accuracy. - Vipul Gupta; David Pantoja; Candace Ross; Adina Williams; Megan Ung (CoRR, 2024)

Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora. - Michael Y. Hu; Aaron Mueller; Candace Ross; Adina Williams; Tal Linzen; Chengxu Zhuang; Ryan Cotterell; Leshem Choshen; Alex Warstadt; Ethan Gotlieb Wilcox (CoRR, 2024)

EvalGIM: A Library for Evaluating Generative Image Models. - Melissa Hall; Oscar Mañas; Reyhane Askari Hemmat; Mark Ibrahim; Candace Ross; Pietro Astolfi; Tariq Berrada Ifriqi; Marton Havasi; Yohann Benchetrit; Karen Ullrich; Carolina Braga; Abhishek Charnalia; et al. (CoRR, 2024)

What makes a good metric? Evaluating automatic metrics for text-to-image consistency. - Candace Ross; Melissa Hall; Adriana Romero-Soriano; Adina Williams (CoRR, 2024)

DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity. - Melissa Hall; Candace Ross; Adina Williams; Nicolas Carion; Michal Drozdzal; Adriana Romero-Soriano (Trans. Mach. Learn. Res., 2024)

Improving Text-to-Image Consistency via Automatic Prompt Optimization. - Oscar Mañas; Pietro Astolfi; Melissa Hall; Candace Ross; Jack Urbanek; Adina Williams; Aishwarya Agrawal; Adriana Romero-Soriano; Michal Drozdzal (Trans. Mach. Learn. Res., 2024)

Improving Model Evaluation using SMART Filtering of Benchmark Datasets. - Vipul Gupta; Candace Ross; David Pantoja; Rebecca J. Passonneau; Megan Ung; Adina Williams (NAACL (Long Papers), 2025)

BabyLM Turns 3: Call for papers for the 2025 BabyLM workshop. - Lucas Charpentier; Leshem Choshen; Ryan Cotterell; Mustafa Omer Gul; Michael Y. Hu; Jaap Jumelet; Tal Linzen; Jing Liu; Aaron Mueller; Candace Ross; Raj Sanjay Shah; Alex Warstadt; et al. (CoRR, 2025)

Multi-Modal Language Models as Text-to-Image Model Evaluators. - Jiahui Chen; Candace Ross; Reyhane Askari Hemmat; Koustuv Sinha; Melissa Hall; Michal Drozdzal; Adriana Romero-Soriano (CoRR, 2025)

DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models. - Revant Teotia; Candace Ross; Karen Ullrich; Sumit Chopra; Adriana Romero-Soriano; Melissa Hall; Matthew J. Muckley (CoRR, 2025)

A Shortcut-aware Video-QA Benchmark for Physical Understanding via Minimal Video Pairs. - Benno Krojer; Mojtaba Komeili; Candace Ross; Quentin Garrido; Koustuv Sinha; Nicolas Ballas; Mahmoud Assran (CoRR, 2025)