Yixin Nie

According to our database, Yixin Nie authored at least 26 papers between 2017 and 2024.

Collaborative distances:

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

2024

Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning.

Rao Fu, Jingyu Liu, Xilun Chen, Yixin Nie, Wenhan Xiong

CoRR, 2024

2023

The Role of Chain-of-Thought in Complex Vision-Language Reasoning Task.

Yifan Wu, Pengchuan Zhang, Wenhan Xiong, Barlas Oguz, James C. Gee, Yixin Nie

CoRR, 2023

Jointly Training Large Autoregressive Multimodal Models.

Emanuele Aiello, Lili Yu, Yixin Nie, Armen Aghajanyan, Barlas Oguz

CoRR, 2023

Llama 2: Open Foundation and Fine-Tuned Chat Models.

Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton-Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurélien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom

CoRR, 2023

Text-guided 3D Human Generation from 2D Collections.

Tsu-Jui Fu, Wenhan Xiong, Yixin Nie, Jingyu Liu, Barlas Oguz, William Yang Wang

CoRR, 2023

TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models.

Yuwei Yin, Jean Kaddour, Xiang Zhang, Yixin Nie, Zhenguang Liu, Lingpeng Kong, Qi Liu

CoRR, 2023

3DGen: Triplane Latent Diffusion for Textured Mesh Generation.

Anchit Gupta, Wenhan Xiong, Yixin Nie, Ian Jones, Barlas Oguz

CoRR, 2023

CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding.

Jingyu Liu, Wenhan Xiong, Ian Jones, Yixin Nie, Anchit Gupta, Barlas Oguz

CoRR, 2023

Text-guided 3D Human Generation from 2D Collections.

Tsu-Jui Fu, Wenhan Xiong, Yixin Nie, Jingyu Liu, Barlas Oguz, William Wang

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

2022

Data-Driven Natural Language Inference.

Yixin Nie

PhD thesis, 2022

TVLT: Textless Vision-Language Transformer.

Zineng Tang, Jaemin Cho, Yixin Nie, Mohit Bansal

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning.

Xiang Zhou, Yixin Nie, Mohit Bansal

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

MLP Architectures for Vision-and-Language Modeling: An Empirical Study.

Yixin Nie, Linjie Li, Zhe Gan, Shuohang Wang, Chenguang Zhu, Michael Zeng, Zicheng Liu, Mohit Bansal, Lijuan Wang

CoRR, 2021

Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference.

Hai Hu, He Zhou, Zuoyu Tian, Yiwen Zhang, Yina Ma, Yanting Li, Yixin Nie, Kyle Richardson

CoRR, 2021

Dynabench: Rethinking Benchmarking in NLP.

Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

To what extent do human explanations of model behavior align with actual model behavior?

Grusha Prasad, Yixin Nie, Mohit Bansal, Robin Jia, Douwe Kiela, Adina Williams

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling.

Yixin Nie, Mary Williamson, Mohit Bansal, Douwe Kiela, Jason Weston

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference.

Hai Hu, He Zhou, Zuoyu Tian, Yiwen Zhang, Yina Patterson, Yanting Li, Yixin Nie, Kyle Richardson

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions.

Xiang Zhou, Yixin Nie, Hao Tan, Mohit Bansal

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

ConjNLI: Natural Language Inference Over Conjunctive Sentences.

Swarnadeep Saha, Yixin Nie, Mohit Bansal

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

What Can We Learn from Collective Human Opinions on Natural Language Inference Data?

Yixin Nie, Xiang Zhou, Mohit Bansal

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Adversarial NLI: A New Benchmark for Natural Language Understanding.

Yixin Nie, Adina Williams, Emily Dinan, Mohit Bansal, Jason Weston, Douwe Kiela

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Revealing the Importance of Semantic Retrieval for Machine Reading at Scale.

Yixin Nie, Songhe Wang, Mohit Bansal

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Analyzing Compositionality-Sensitivity of NLI Models.

Yixin Nie, Yicheng Wang, Mohit Bansal

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Combining Fact Extraction and Verification with Neural Semantic Matching Networks.

Yixin Nie, Haonan Chen, Mohit Bansal

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

Shortcut-Stacked Sentence Encoders for Multi-Domain Inference.

Yixin Nie, Mohit Bansal

Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP, 2017