Shane Storks

According to our database, Shane Storks authored at least 18 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SafetyALFRED: Evaluating Safety-Conscious Planning of Multimodal Large Language Models.

Josue Torres-Fonseca, Naihao Deng, Yinpei Dai, Shane Storks, Yichi Zhang, Rada Mihalcea, Casey Kennington, Joyce Chai

CoRR, April, 2026

Identifying and Mitigating Gender Cues in Academic Recommendation Letters: An Interpretability Case Study.

Charlotte S. Alexander, Shane Storks, Souradip Pal, Sayak Chakrabarty, Arushi Sharma, Mlen-Too Wesley, Bailey Russo

CoRR, April, 2026

2025

Discovering Properties of Inflectional Morphology in Neural Emergent Communication.

Miles Gilberti, Shane Storks, Huteng Dai

CoRR, August, 2025

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, June, 2025

Transparent and Coherent Procedural Mistake Detection.

Shane Storks, Itamar Bar-Yossef, Yayuan Li, Zheyuan Zhang, Jason J. Corso, Joyce Chai

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Mind the Gap: How BabyLMs Learn Filler-Gap Dependencies.

Chi-Yun Chang, Xueyang Huang, Humaira Nasir, Shane Storks, Olawale Akingbade, Huteng Dai

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Explainable Procedural Mistake Detection.

Shane Storks, Itamar Bar-Yossef, Yayuan Li, Zheyuan Zhang, Jason J. Corso, Joyce Chai

CoRR, 2024

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Can Foundation Models Watch, Talk and Guide You Step by Step to Make a Cake?

Yuwei Bao, Keunwoo Peter Yu, Yichi Zhang, Shane Storks, Itamar Bar-Yossef, Alexander De La Iglesia, Megan Su, Xiao-Lin Zheng, Joyce Chai

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

NLP Reproducibility For All: Understanding Experiences of Beginners.

Shane Storks, Keunwoo Peter Yu, Ziqiao Ma, Joyce Chai

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

In-Context Analogical Reasoning with Pre-Trained Language Models.

Xiaoyang Hu, Shane Storks, Richard L. Lewis, Joyce Chai

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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

DANLI: Deliberative Agent for Following Natural Language Instructions.

Yichi Zhang, Jianing Yang, Jiayi Pan, Shane Storks, Nikhil Devraj, Ziqiao Ma, Keunwoo Peter Yu, Yuwei Bao, Joyce Chai

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Are We There Yet? Learning to Localize in Embodied Instruction Following.

Shane Storks, Qiaozi Gao, Govind Thattai, Gökhan Tür

CoRR, 2021

Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding.

Shane Storks, Qiaozi Gao, Yichi Zhang, Joyce Chai

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Beyond the Tip of the Iceberg: Assessing Coherence of Text Classifiers.

Shane Storks, Joyce Chai

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2019

Commonsense Reasoning for Natural Language Understanding: A Survey of Benchmarks, Resources, and Approaches.

Shane Storks, Qiaozi Gao, Joyce Y. Chai

CoRR, 2019