Shortcut-Stacked Sentence Encoders for Multi-Domain Inference. - Yixin Nie; Mohit Bansal (RepEval@EMNLP, 2017)

Combining Fact Extraction and Verification with Neural Semantic Matching Networks. - Yixin Nie; Haonan Chen; Mohit Bansal (AAAI, 2019)

Analyzing Compositionality-Sensitivity of NLI Models. - Yixin Nie; Yicheng Wang; Mohit Bansal (AAAI, 2019)

Revealing the Importance of Semantic Retrieval for Machine Reading at Scale. - Yixin Nie; Songhe Wang; Mohit Bansal (EMNLP/IJCNLP (1), 2019)

Adversarial NLI: A New Benchmark for Natural Language Understanding. - Yixin Nie; Adina Williams; Emily Dinan; Mohit Bansal; Jason Weston; Douwe Kiela (ACL, 2020)

What Can We Learn from Collective Human Opinions on Natural Language Inference Data? - Yixin Nie; Xiang Zhou; Mohit Bansal (EMNLP (1), 2020)

ConjNLI: Natural Language Inference Over Conjunctive Sentences. - Swarnadeep Saha; Yixin Nie; Mohit Bansal (EMNLP (1), 2020)

The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions. - Xiang Zhou; Yixin Nie; Hao Tan 002; Mohit Bansal (EMNLP (1), 2020)

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 001 (ACL/IJCNLP (Findings), 2021)

I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling. - Yixin Nie; Mary Williamson; Mohit Bansal; Douwe Kiela; Jason Weston (ACL/IJCNLP (1), 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 (BlackboxNLP@EMNLP, 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; et al. (NAACL-HLT, 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 001 (CoRR, 2021)

MLP Architectures for Vision-and-Language Modeling: An Empirical Study. - Yixin Nie; Linjie Li; Zhe Gan; Shuohang Wang; Chenguang Zhu 001; Michael Zeng 001; Zicheng Liu 001; Mohit Bansal; Lijuan Wang (CoRR, 2021)

Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning. - Xiang Zhou; Yixin Nie; Mohit Bansal (ACL (Findings), 2022)

TVLT: Textless Vision-Language Transformer. - Zineng Tang; Jaemin Cho 001; Yixin Nie; Mohit Bansal (NeurIPS, 2022)

Data-Driven Natural Language Inference. - Yixin Nie (2022)

Text-guided 3D Human Generation from 2D Collections. - Tsu-Jui Fu; Wenhan Xiong; Yixin Nie; Jingyu Liu; Barlas Oguz; William Wang (EMNLP (Findings), 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)

3DGen: Triplane Latent Diffusion for Textured Mesh Generation. - Anchit Gupta; Wenhan Xiong; Yixin Nie; Ian Jones; Barlas Oguz (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 049 (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)

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; et al. (CoRR, 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)

UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks. - Yuanhao Xiong; Yixin Nie; Haotian Liu; Boxin Wang; Jun Chen; Rong Jin 001; Cho-Jui Hsieh; Lorenzo Torresani; Jie Lei (EMNLP, 2024)

Jointly Training Large Autoregressive Multimodal Models. - Emanuele Aiello; Lili Yu; Yixin Nie; Armen Aghajanyan; Barlas Oguz (ICLR, 2024)

Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning. - Rao Fu; Jingyu Liu; Xilun Chen 002; Yixin Nie; Wenhan Xiong (CoRR, 2024)

ROICtrl: Boosting Instance Control for Visual Generation. - Yuchao Gu; Yipin Zhou; Yunfan Ye; Yixin Nie; Licheng Yu; Pingchuan Ma 002; Kevin Qinghong Lin; Mike Zheng Shou (CVPR, 2025)

Scene-LLM: Extending Language Model for 3D Visual Reasoning. - Rao Fu; Jingyu Liu; Xilun Chen 002; Yixin Nie; Wenhan Xiong (WACV, 2025)

Learning to Solve and Verify: A Self-Play Framework for Code and Test Generation. - Zi Lin; Sheng Shen 016; Jingbo Shang; Jason Weston; Yixin Nie (CoRR, 2025)