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2020 – today
- 2024
[c17]Yuanhao Xiong, Yixin Nie, Haotian Liu, Boxin Wang, Jun Chen, Rong Jin, Cho-Jui Hsieh, Lorenzo Torresani, Jie Lei:
UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks. EMNLP 2024: 12983-12997- [c16]Emanuele Aiello, Lili Yu, Yixin Nie, Armen Aghajanyan, Barlas Oguz:
Jointly Training Large Autoregressive Multimodal Models. ICLR 2024 - [i23]Rao Fu, Jingyu Liu, Xilun Chen, Yixin Nie, Wenhan Xiong:
Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning. CoRR abs/2403.11401 (2024) - 2023
- [c15]Tsu-Jui Fu, Wenhan Xiong, Yixin Nie, Jingyu Liu, Barlas Oguz, William Wang:
Text-guided 3D Human Generation from 2D Collections. EMNLP (Findings) 2023: 4508-4520 - [i22]Jingyu Liu, Wenhan Xiong, Ian Jones, Yixin Nie, Anchit Gupta, Barlas Oguz:
CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding. CoRR abs/2303.03565 (2023) - [i21]Anchit Gupta, Wenhan Xiong, Yixin Nie, Ian Jones, Barlas Oguz:
3DGen: Triplane Latent Diffusion for Textured Mesh Generation. CoRR abs/2303.05371 (2023) - [i20]Yuwei Yin, Jean Kaddour, Xiang Zhang, Yixin Nie, Zhenguang Liu, Lingpeng Kong, Qi Liu:
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models. CoRR abs/2304.08821 (2023) - [i19]Tsu-Jui Fu, Wenhan Xiong, Yixin Nie, Jingyu Liu, Barlas Oguz, William Yang Wang:
Text-guided 3D Human Generation from 2D Collections. CoRR abs/2305.14312 (2023) - [i18]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:
Llama 2: Open Foundation and Fine-Tuned Chat Models. CoRR abs/2307.09288 (2023) - [i17]Emanuele Aiello, Lili Yu, Yixin Nie, Armen Aghajanyan, Barlas Oguz:
Jointly Training Large Autoregressive Multimodal Models. CoRR abs/2309.15564 (2023) - [i16]Yifan Wu, Pengchuan Zhang, Wenhan Xiong, Barlas Oguz, James C. Gee, Yixin Nie:
The Role of Chain-of-Thought in Complex Vision-Language Reasoning Task. CoRR abs/2311.09193 (2023) - 2022
- [b1]Yixin Nie:
Data-Driven Natural Language Inference. University of North Carolina, Chapel Hill, USA, 2022 - [c14]Xiang Zhou, Yixin Nie, Mohit Bansal:
Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning. ACL (Findings) 2022: 972-987 - [c13]Zineng Tang, Jaemin Cho, Yixin Nie, Mohit Bansal:
TVLT: Textless Vision-Language Transformer. NeurIPS 2022 - [i15]Zineng Tang, Jaemin Cho, Yixin Nie, Mohit Bansal:
TVLT: Textless Vision-Language Transformer. CoRR abs/2209.14156 (2022) - 2021
- [c12]Yixin Nie, Mary Williamson, Mohit Bansal, Douwe Kiela, Jason Weston:
I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling. ACL/IJCNLP (1) 2021: 1699-1713 - [c11]Hai Hu, He Zhou, Zuoyu Tian, Yiwen Zhang, Yina Patterson, Yanting Li, Yixin Nie, Kyle Richardson:
Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference. ACL/IJCNLP (Findings) 2021: 3770-3785 - [c10]Grusha Prasad, Yixin Nie, Mohit Bansal, Robin Jia, Douwe Kiela, Adina Williams:
To what extent do human explanations of model behavior align with actual model behavior? BlackboxNLP@EMNLP 2021: 1-14 - [c9]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:
Dynabench: Rethinking Benchmarking in NLP. NAACL-HLT 2021: 4110-4124 - [i14]Xiang Zhou, Yixin Nie, Mohit Bansal:
Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning. CoRR abs/2104.08676 (2021) - [i13]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:
Dynabench: Rethinking Benchmarking in NLP. CoRR abs/2104.14337 (2021) - [i12]Hai Hu, He Zhou, Zuoyu Tian, Yiwen Zhang, Yina Ma, Yanting Li, Yixin Nie, Kyle Richardson:
Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference. CoRR abs/2106.03983 (2021) - [i11]Yixin Nie, Linjie Li, Zhe Gan, Shuohang Wang, Chenguang Zhu, Michael Zeng, Zicheng Liu, Mohit Bansal, Lijuan Wang:
MLP Architectures for Vision-and-Language Modeling: An Empirical Study. CoRR abs/2112.04453 (2021) - 2020
- [c8]Yixin Nie, Adina Williams, Emily Dinan, Mohit Bansal, Jason Weston, Douwe Kiela:
Adversarial NLI: A New Benchmark for Natural Language Understanding. ACL 2020: 4885-4901 - [c7]Xiang Zhou, Yixin Nie, Hao Tan, Mohit Bansal:
The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions. EMNLP (1) 2020: 8215-8228 - [c6]Swarnadeep Saha, Yixin Nie, Mohit Bansal:
ConjNLI: Natural Language Inference Over Conjunctive Sentences. EMNLP (1) 2020: 8240-8252 - [c5]Yixin Nie, Xiang Zhou, Mohit Bansal:
What Can We Learn from Collective Human Opinions on Natural Language Inference Data? EMNLP (1) 2020: 9131-9143 - [i10]Xiang Zhou, Yixin Nie, Hao Tan, Mohit Bansal:
The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions. CoRR abs/2004.13606 (2020) - [i9]Yixin Nie, Xiang Zhou, Mohit Bansal:
What Can We Learn from Collective Human Opinions on Natural Language Inference Data? CoRR abs/2010.03532 (2020) - [i8]Swarnadeep Saha, Yixin Nie, Mohit Bansal:
ConjNLI: Natural Language Inference Over Conjunctive Sentences. CoRR abs/2010.10418 (2020) - [i7]Grusha Prasad, Yixin Nie, Mohit Bansal, Robin Jia, Douwe Kiela, Adina Williams:
To what extent do human explanations of model behavior align with actual model behavior? CoRR abs/2012.13354 (2020) - [i6]Yixin Nie, Mary Williamson, Mohit Bansal, Douwe Kiela, Jason Weston:
I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling. CoRR abs/2012.13391 (2020)
2010 – 2019
- 2019
- [c4]Yixin Nie, Haonan Chen, Mohit Bansal:
Combining Fact Extraction and Verification with Neural Semantic Matching Networks. AAAI 2019: 6859-6866 - [c3]Yixin Nie, Yicheng Wang, Mohit Bansal:
Analyzing Compositionality-Sensitivity of NLI Models. AAAI 2019: 6867-6874 - [c2]Yixin Nie, Songhe Wang, Mohit Bansal:
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale. EMNLP/IJCNLP (1) 2019: 2553-2566 - [i5]Yixin Nie, Songhe Wang, Mohit Bansal:
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale. CoRR abs/1909.08041 (2019) - [i4]Yixin Nie, Adina Williams, Emily Dinan, Mohit Bansal, Jason Weston, Douwe Kiela:
Adversarial NLI: A New Benchmark for Natural Language Understanding. CoRR abs/1910.14599 (2019) - 2018
- [i3]Yixin Nie, Yicheng Wang, Mohit Bansal:
Analyzing Compositionality-Sensitivity of NLI Models. CoRR abs/1811.07033 (2018) - [i2]Yixin Nie, Haonan Chen, Mohit Bansal:
Combining Fact Extraction and Verification with Neural Semantic Matching Networks. CoRR abs/1811.07039 (2018) - 2017
- [c1]Yixin Nie, Mohit Bansal:
Shortcut-Stacked Sentence Encoders for Multi-Domain Inference. RepEval@EMNLP 2017: 41-45 - [i1]Yixin Nie, Mohit Bansal:
Shortcut-Stacked Sentence Encoders for Multi-Domain Inference. CoRR abs/1708.02312 (2017)
Coauthor Index
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