Commonsense Reasoning for Natural Language Understanding: A Survey of Benchmarks, Resources, and Approaches. - Shane Storks; Qiaozi Gao; Joyce Y. Chai (CoRR, 2019)

Beyond the Tip of the Iceberg: Assessing Coherence of Text Classifiers. - Shane Storks; Joyce Chai (EMNLP (Findings), 2021)

Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding. - Shane Storks; Qiaozi Gao; Yichi Zhang 001; Joyce Chai (EMNLP (Findings), 2021)

Are We There Yet? Learning to Localize in Embodied Instruction Following. - Shane Storks; Qiaozi Gao; Govind Thattai; Gökhan Tür (CoRR, 2021)

DANLI: Deliberative Agent for Following Natural Language Instructions. - Yichi Zhang 001; Jianing Yang; Jiayi Pan 002; Shane Storks; Nikhil Devraj; Ziqiao Ma 001; Keunwoo Peter Yu; Yuwei Bao; Joyce Chai (EMNLP, 2022)

Best of Both Worlds: A Hybrid Approach for Multi-Hop Explanation with Declarative Facts. - Shane Storks; Qiaozi Gao; Aishwarya N. Reganti; Govind Thattai (CoRR, 2022)

In-Context Analogical Reasoning with Pre-Trained Language Models. - Xiaoyang Hu; Shane Storks; Richard L. Lewis; Joyce Chai (ACL (1), 2023)

NLP Reproducibility For All: Understanding Experiences of Beginners. - Shane Storks; Keunwoo Peter Yu; Ziqiao Ma 001; Joyce Chai (ACL (1), 2023)

Can Foundation Models Watch, Talk and Guide You Step by Step to Make a Cake? - Yuwei Bao; Keunwoo Peter Yu; Yichi Zhang 001; Shane Storks; Itamar Bar-Yossef; Alexander De La Iglesia; Megan Su; Xiao-Lin Zheng; Joyce Chai (EMNLP (Findings), 2023)

From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning. - Zheyuan Zhang; Shane Storks; Fengyuan Hu; Sungryull Sohn; Moontae Lee; Honglak Lee; Joyce Chai (EMNLP, 2023)

Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties. - Keunwoo Peter Yu; Zheyuan Zhang; Fengyuan Hu; Shane Storks; Joyce Chai (EMNLP, 2024)

Explainable Procedural Mistake Detection. - Shane Storks; Itamar Bar-Yossef; Yayuan Li; Zheyuan Zhang; Jason J. Corso; Joyce Chai (CoRR, 2024)

Sparse Feature Coactivation Reveals Composable Semantic Modules in Large Language Models. - Ruixuan Deng; Xiaoyang Hu; Miles Gilberti; Shane Storks; Aman Taxali; Mike Angstadt; Chandra Sekhar Sripada; Joyce Chai (CoRR, 2025)