Yixin Nie - RankMe

49 papers A* 7A 1Journal 28Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CharacterFlywheel: Scaling Iterative Improvement of Engaging and Steerable LLMs in Production. CoRR Yixin Nie, Lin Guan, Zhongyao Ma, Anchit Gupta, Yipin Zhou, Xiao Li, Zhengping Zhou, Raymond Zeng, Gelin Zhou, Shigan Chu, Ajay Thampi, Wancen Mu, Nathan Shuster, Ketong Wang, Lin Chen, Jason Brewer, Derek Hao Hu, Alexander McCauley, Jason Weston, Sem Park, Na Zhang, Kevin Tang
2026	J	`jnl`	Paying Less Generalization Tax: A Cross-Domain Generalization Study of RL Training for LLM Agents. CoRR Zhihan Liu, Lin Guan, Yixin Nie, Kai Zhang, Zhuoqun Hao, Lin Chen, Asli Celikyilmaz, Zhaoran Wang, Na Zhang
2025	—	`conf`	A Multi-Stage Battery Degradation Prediction Model Based on Knee Point Analysis and Feature Transfer. ICECET Yixin Nie, Anqi Wang, Zhiyu Zhang, Liqin Yan, Jingying Xie, Fan Yang
2025	J	`jnl`	Learning to Solve and Verify: A Self-Play Framework for Code and Test Generation. CoRR Zi Lin, Sheng Shen, Jingbo Shang, Jason Weston, Yixin Nie
2025	A*	`conf`	ROICtrl: Boosting Instance Control for Visual Generation. CVPR Yuchao Gu, Yipin Zhou, Yunfan Ye, Yixin Nie, Licheng Yu, Pingchuan Ma, Kevin Qinghong Lin, Mike Zheng Shou
2025	A	`conf`	Scene-LLM: Extending Language Model for 3D Visual Reasoning. WACV Rao Fu, Jingyu Liu, Xilun Chen, Yixin Nie, Wenhan Xiong
2025	J	`jnl`	Your thoughts tell who you are: Characterize the reasoning patterns of LRMs. CoRR Yida Chen, Yuning Mao, Xianjun Yang, Suyu Ge, Shengjie Bi, Lijuan Liu, Saghar Hosseini, Liang Tan, Yixin Nie, Shaoliang Nie
2024	A*	`conf`	Jointly Training Large Autoregressive Multimodal Models. ICLR Emanuele Aiello, Lili Yu, Yixin Nie, Armen Aghajanyan, Barlas Oguz
2024	J	`jnl`	ROICtrl: Boosting Instance Control for Visual Generation. CoRR Yuchao Gu, Yipin Zhou, Yunfan Ye, Yixin Nie, Licheng Yu, Pingchuan Ma, Kevin Qinghong Lin, Mike Zheng Shou
2024	J	`jnl`	Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning. CoRR Rao Fu, Jingyu Liu, Xilun Chen, Yixin Nie, Wenhan Xiong
2024	A*	`conf`	UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks. EMNLP Yuanhao Xiong, Yixin Nie, Haotian Liu, Boxin Wang, Jun Chen, Rong Jin, Cho-Jui Hsieh, Lorenzo Torresani, Jie Lei
2023	J	`jnl`	3DGen: Triplane Latent Diffusion for Textured Mesh Generation. CoRR Anchit Gupta, Wenhan Xiong, Yixin Nie, Ian Jones, Barlas Oguz
2023	J	`jnl`	CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding. CoRR Jingyu Liu, Wenhan Xiong, Ian Jones, Yixin Nie, Anchit Gupta, Barlas Oguz
2023	J	`jnl`	Jointly Training Large Autoregressive Multimodal Models. CoRR Emanuele Aiello, Lili Yu, Yixin Nie, Armen Aghajanyan, Barlas Oguz
2023	J	`jnl`	Llama 2: Open Foundation and Fine-Tuned Chat Models. CoRR 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
2023	J	`jnl`	TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models. CoRR Yuwei Yin, Jean Kaddour, Xiang Zhang, Yixin Nie, Zhenguang Liu, Lingpeng Kong, Qi Liu
2023	—	`conf`	Text-guided 3D Human Generation from 2D Collections. EMNLP (Findings) Tsu-Jui Fu, Wenhan Xiong, Yixin Nie, Jingyu Liu, Barlas Oguz, William Wang
2023	J	`jnl`	Text-guided 3D Human Generation from 2D Collections. CoRR Tsu-Jui Fu, Wenhan Xiong, Yixin Nie, Jingyu Liu, Barlas Oguz, William Yang Wang
2023	J	`jnl`	The Role of Chain-of-Thought in Complex Vision-Language Reasoning Task. CoRR Yifan Wu, Pengchuan Zhang, Wenhan Xiong, Barlas Oguz, James C. Gee, Yixin Nie
2022	—	`—`	Data-Driven Natural Language Inference. Yixin Nie
2022	—	`conf`	Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning. ACL (Findings) Xiang Zhou, Yixin Nie, Mohit Bansal
2022	A*	`conf`	TVLT: Textless Vision-Language Transformer. NeurIPS Zineng Tang, Jaemin Cho, Yixin Nie, Mohit Bansal
2022	J	`jnl`	TVLT: Textless Vision-Language Transformer. CoRR Zineng Tang, Jaemin Cho, Yixin Nie, Mohit Bansal
2021	J	`jnl`	Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning. CoRR Xiang Zhou, Yixin Nie, Mohit Bansal
2021	—	`conf`	Dynabench: Rethinking Benchmarking in NLP. NAACL-HLT 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
2021	J	`jnl`	Dynabench: Rethinking Benchmarking in NLP. CoRR 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
2021	—	`conf`	I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling. ACL/IJCNLP (1) Yixin Nie, Mary Williamson, Mohit Bansal, Douwe Kiela, Jason Weston
2021	—	`conf`	Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference. ACL/IJCNLP (Findings) Hai Hu, He Zhou, Zuoyu Tian, Yiwen Zhang, Yina Patterson, Yanting Li, Yixin Nie, Kyle Richardson
2021	J	`jnl`	Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference. CoRR Hai Hu, He Zhou, Zuoyu Tian, Yiwen Zhang, Yina Ma, Yanting Li, Yixin Nie, Kyle Richardson
2021	J	`jnl`	MLP Architectures for Vision-and-Language Modeling: An Empirical Study. CoRR Yixin Nie, Linjie Li, Zhe Gan, Shuohang Wang, Chenguang Zhu, Michael Zeng, Zicheng Liu, Mohit Bansal, Lijuan Wang
2021	—	`conf`	To what extent do human explanations of model behavior align with actual model behavior? BlackboxNLP@EMNLP Grusha Prasad, Yixin Nie, Mohit Bansal, Robin Jia, Douwe Kiela, Adina Williams
2020	A*	`conf`	Adversarial NLI: A New Benchmark for Natural Language Understanding. ACL Yixin Nie, Adina Williams, Emily Dinan, Mohit Bansal, Jason Weston, Douwe Kiela
2020	—	`conf`	ConjNLI: Natural Language Inference Over Conjunctive Sentences. EMNLP (1) Swarnadeep Saha, Yixin Nie, Mohit Bansal
2020	J	`jnl`	ConjNLI: Natural Language Inference Over Conjunctive Sentences. CoRR Swarnadeep Saha, Yixin Nie, Mohit Bansal
2020	J	`jnl`	I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling. CoRR Yixin Nie, Mary Williamson, Mohit Bansal, Douwe Kiela, Jason Weston
2020	—	`conf`	The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions. EMNLP (1) Xiang Zhou, Yixin Nie, Hao Tan, Mohit Bansal
2020	J	`jnl`	The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions. CoRR Xiang Zhou, Yixin Nie, Hao Tan, Mohit Bansal
2020	J	`jnl`	To what extent do human explanations of model behavior align with actual model behavior? CoRR Grusha Prasad, Yixin Nie, Mohit Bansal, Robin Jia, Douwe Kiela, Adina Williams
2020	—	`conf`	What Can We Learn from Collective Human Opinions on Natural Language Inference Data? EMNLP (1) Yixin Nie, Xiang Zhou, Mohit Bansal
2020	J	`jnl`	What Can We Learn from Collective Human Opinions on Natural Language Inference Data? CoRR Yixin Nie, Xiang Zhou, Mohit Bansal
2019	J	`jnl`	Adversarial NLI: A New Benchmark for Natural Language Understanding. CoRR Yixin Nie, Adina Williams, Emily Dinan, Mohit Bansal, Jason Weston, Douwe Kiela
2019	A*	`conf`	Analyzing Compositionality-Sensitivity of NLI Models. AAAI Yixin Nie, Yicheng Wang, Mohit Bansal
2019	A*	`conf`	Combining Fact Extraction and Verification with Neural Semantic Matching Networks. AAAI Yixin Nie, Haonan Chen, Mohit Bansal
2019	—	`conf`	Revealing the Importance of Semantic Retrieval for Machine Reading at Scale. EMNLP/IJCNLP (1) Yixin Nie, Songhe Wang, Mohit Bansal
2019	J	`jnl`	Revealing the Importance of Semantic Retrieval for Machine Reading at Scale. CoRR Yixin Nie, Songhe Wang, Mohit Bansal
2018	J	`jnl`	Analyzing Compositionality-Sensitivity of NLI Models. CoRR Yixin Nie, Yicheng Wang, Mohit Bansal
2018	J	`jnl`	Combining Fact Extraction and Verification with Neural Semantic Matching Networks. CoRR Yixin Nie, Haonan Chen, Mohit Bansal
2017	—	`conf`	Shortcut-Stacked Sentence Encoders for Multi-Domain Inference. RepEval@EMNLP Yixin Nie, Mohit Bansal
2017	J	`jnl`	Shortcut-Stacked Sentence Encoders for Multi-Domain Inference. CoRR Yixin Nie, Mohit Bansal