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Shane Storks
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Recent advances in natural language inference: A survey of benchmarks, resources, and approaches
S Storks, Q Gao, JY Chai
arXiv preprint arXiv:1904.01172, 2019
962019
Commonsense reasoning for natural language understanding: A survey of benchmarks, resources, and approaches
S Storks, Q Gao, JY Chai
arXiv preprint arXiv:1904.01172, 1-60, 2019
792019
Tiered reasoning for intuitive physics: Toward verifiable commonsense language understanding
S Storks, Q Gao, Y Zhang, J Chai
arXiv preprint arXiv:2109.04947, 2021
212021
Are we there yet? learning to localize in embodied instruction following
S Storks, Q Gao, G Thattai, G Tur
arXiv preprint arXiv:2101.03431, 2021
102021
In-context analogical reasoning with pre-trained language models
X Hu, S Storks, RL Lewis, J Chai
arXiv preprint arXiv:2305.17626, 2023
92023
Danli: Deliberative agent for following natural language instructions
Y Zhang, J Yang, J Pan, S Storks, N Devraj, Z Ma, KP Yu, Y Bao, J Chai
arXiv preprint arXiv:2210.12485, 2022
82022
Best of Both Worlds: A Hybrid Approach for Multi-Hop Explanation with Declarative Facts
S Storks, Q Gao, A Reganti, G Thattai
arXiv preprint arXiv:2201.02740, 2021
22021
Beyond the tip of the iceberg: Assessing coherence of text classifiers
S Storks, J Chai
arXiv preprint arXiv:2109.04922, 2021
22021
Can Foundation Models Watch, Talk and Guide You Step by Step to Make a Cake?
Y Bao, KP Yu, Y Zhang, S Storks, I Bar-Yossef, A De La Iglesia, M Su, ...
arXiv preprint arXiv:2311.00738, 2023
12023
From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning
Z Zhang, S Storks, F Hu, S Sohn, M Lee, H Lee, J Chai
arXiv preprint arXiv:2310.18364, 2023
12023
NLP Reproducibility For All: Understanding Experiences of Beginners
S Storks, KP Yu, Z Ma, J Chai
arXiv preprint arXiv:2305.16579, 2023
2023
SEAGULL: An Embodied Agent for Instruction Following through Situated Dialog
Y Zhang, J Yang, K Yu, Y Dai, S Storks, Y Bao, J Pan, N Devraj, Z Ma, ...
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