Yixin Nie
Yixin Nie
Meta, UNC Chapel Hill
Verified email at - Homepage
Cited by
Cited by
Llama 2: Open foundation and fine-tuned chat models
H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ...
arXiv preprint arXiv:2307.09288, 2023
Adversarial NLI: A new benchmark for natural language understanding
Y Nie, A Williams, E Dinan, M Bansal, J Weston, D Kiela
ACL 2020, 2019
Dynabench: Rethinking benchmarking in NLP
D Kiela, M Bartolo, Y Nie, D Kaushik, A Geiger, Z Wu, B Vidgen, G Prasad, ...
NAACL 2021, 2021
Combining Fact Extraction and Verification with Neural Semantic Matching Networks
Y Nie, H Chen, M Bansal
AAAI 2019, 2019
Shortcut-stacked sentence encoders for multi-domain inference
Y Nie, M Bansal
EMNLP 2017 RepEval Workshop, 2017
Revealing the importance of semantic retrieval for machine reading at scale
Y Nie, S Wang, M Bansal
EMNLP 2019, 2019
What can we learn from collective human opinions on natural language inference data?
Y Nie, X Zhou, M Bansal
EMNLP 2020, 2020
3dgen: Triplane latent diffusion for textured mesh generation
A Gupta, W Xiong, Y Nie, I Jones, B Oğuz
arXiv preprint arXiv:2303.05371, 2023
Analyzing Compositionality-Sensitivity of NLI Models
Y Nie, Y Wang, M Bansal
AAAI 2019, 2018
I like fish, especially dolphins: Addressing contradictions in dialogue modeling
Y Nie, M Williamson, M Bansal, D Kiela, J Weston
ACL 2021, 2021
The curse of performance instability in analysis datasets: Consequences, source, and suggestions
X Zhou, Y Nie, H Tan, M Bansal
EMNLP 2020, 2020
ConjNLI: Natural language inference over conjunctive sentences
S Saha, Y Nie, M Bansal
EMNLP 2020, 2020
TVLT: Textless vision-language transformer
Z Tang, J Cho, Y Nie, M Bansal
Advances in neural information processing systems 35, 9617-9632, 2022
Distributed NLI: learning to predict human opinion distributions for language reasoning
X Zhou, Y Nie, M Bansal
Findings of ACL 2022, 2021
To what extent do human explanations of model behavior align with actual model behavior?
G Prasad, Y Nie, M Bansal, R Jia, D Kiela, A Williams
Proceedings of BlackBox NLP 2021, 2020
Investigating transfer learning in multilingual pre-trained language models through Chinese natural language inference
H Hu, H Zhou, Z Tian, Y Zhang, Y Ma, Y Li, Y Nie, K Richardson
Findings of ACL 2021, 2021
Jointly training large autoregressive multimodal models
E Aiello, L Yu, Y Nie, A Aghajanyan, B Oguz
arXiv preprint arXiv:2309.15564, 2023
Simple compounded-label training for fact extraction and verification
Y Nie, L Bauer, M Bansal
Proceedings of the Third Workshop on Fact Extraction and VERification (FEVER …, 2020
Mlp architectures for vision-and-language modeling: An empirical study
Y Nie, L Li, Z Gan, S Wang, C Zhu, M Zeng, Z Liu, M Bansal, L Wang
arXiv preprint arXiv:2112.04453, 2021
Scene-llm: Extending language model for 3d visual understanding and reasoning
R Fu, J Liu, X Chen, Y Nie, W Xiong
arXiv preprint arXiv:2403.11401, 2024
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