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Xiang Zhou
Xiang Zhou
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Title
Cited by
Cited by
Year
What Can We Learn from Collective Human Opinions on Natural Language Inference Data?
Y Nie, X Zhou, M Bansal
arXiv preprint arXiv:2010.03532, 2020
842020
GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models
A Prasad, P Hase, X Zhou, M Bansal
arXiv preprint arXiv:2203.07281, 2022
812022
Agent-aware dropout dqn for safe and efficient on-line dialogue policy learning
L Chen, X Zhou, C Chang, R Yang, K Yu
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
452017
Towards Robustifying NLI Models Against Lexical Dataset Biases
X Zhou, M Bansal
arXiv preprint arXiv:2005.04732, 2020
432020
The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions
X Zhou, Y Nie, H Tan, M Bansal
arXiv preprint arXiv:2004.13606, 2020
372020
Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning
X Zhou, Y Nie, M Bansal
arXiv preprint arXiv:2104.08676, 2021
202021
On-line dialogue policy learning with companion teaching
L Chen, R Yang, C Chang, Z Ye, X Zhou, K Yu
Proceedings of the 15th Conference of the European Chapter of the …, 2017
182017
Affordable on-line dialogue policy learning
C Chang, R Yang, L Chen, X Zhou, K Yu
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
152017
ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness
A Prasad, S Saha, X Zhou, M Bansal
arXiv preprint arXiv:2304.10703, 2023
142023
Hidden Biases in Unreliable News Detection Datasets
X Zhou, H Elfardy, C Christodoulopoulos, T Butler, M Bansal
EACL, 2021
122021
Mutual Exclusivity Training and Primitive Augmentation to Induce Compositionality
Y Jiang, X Zhou, M Bansal
arXiv preprint arXiv:2211.15578, 2022
52022
Data Factors for Better Compositional Generalization
X Zhou, Y Jiang, M Bansal
arXiv preprint arXiv:2311.04420, 2023
22023
Masked Part-Of-Speech Model: Does Modeling Long Context Help Unsupervised POS-tagging?
X Zhou, S Zhang, M Bansal
arXiv preprint arXiv:2206.14969, 2022
12022
Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings
Y Jiang, X Zhou, M Bansal
arXiv preprint arXiv:2402.06492, 2024
2024
Can Sequence-to-Sequence Transformers Naturally Understand Sequential Instructions?
X Zhou, A Gupta, S Upadhyay, M Bansal, M Faruqui
Proceedings of the 12th Joint Conference on Lexical and Computational …, 2023
2023
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