Deng, Yuntian

17 publications

ICLR 2025 Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Zhangchen Xu, Fengqing Jiang, Luyao Niu, Yuntian Deng, Radha Poovendran, Yejin Choi, Bill Yuchen Lin

ICLR 2025 MixEval-X: Any-to-Any Evaluations from Real-World Data Mixture Jinjie Ni, Yifan Song, Deepanway Ghosal, Bo Li, David Junhao Zhang, Xiang Yue, Fuzhao Xue, Yuntian Deng, Zian Zheng, Kaichen Zhang, Mahir Shah, Kabir Jain, Yang You, Michael Shieh

NeurIPS 2025 The Leaderboard Illusion Shivalika Singh, Yiyang Nan, Alex Wang, Daniel D'souza, Sayash Kapoor, Ahmet Üstün, Sanmi Koyejo, Yuntian Deng, Shayne Longpre, Noah A. Smith, Beyza Ermis, Marzieh Fadaee, Sara Hooker

ICLR 2025 WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild Bill Yuchen Lin, Yuntian Deng, Khyathi Chandu, Abhilasha Ravichander, Valentina Pyatkin, Nouha Dziri, Ronan Le Bras, Yejin Choi

NeurIPS 2024 MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures Jinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain, Graham Neubig, Yang You

ICLR 2024 WildChat: 1m ChatGPT Interaction Logs in the Wild Wenting Zhao, Xiang Ren, Jack Hessel, Claire Cardie, Yejin Choi, Yuntian Deng

ICLR 2023 Markup-to-Image Diffusion Models with Scheduled Sampling Yuntian Deng, Noriyuki Kojima, Alexander M Rush

ICLR 2023 Semi-Parametric Inducing Point Networks and Neural Processes Richa Rastogi, Yair Schiff, Alon Hacohen, Zhaozhi Li, Ian Lee, Yuntian Deng, Mert R. Sabuncu, Volodymyr Kuleshov

AISTATS 2022 Weighted Gaussian Process Bandits for Non-Stationary Environments Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness Shroff

NeurIPS 2021 Low-Rank Constraints for Fast Inference in Structured Models Justin Chiu, Yuntian Deng, Alexander Rush

JMLR 2021 Residual Energy-Based Models for Text Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam

NeurIPS 2020 Cascaded Text Generation with Markov Transformers Yuntian Deng, Alexander Rush

ICLR 2020 Residual Energy-Based Models for Text Generation Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato

NeurIPS 2018 Latent Alignment and Variational Attention Yuntian Deng, Yoon Kim, Justin Chiu, Demi Guo, Alexander Rush

ICLR 2017 Dropout with Expectation-Linear Regularization Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard H. Hovy

ICML 2017 Image-to-Markup Generation with Coarse-to-Fine Attention Yuntian Deng, Anssi Kanervisto, Jeffrey Ling, Alexander M. Rush

ICML 2017 Learning Latent Space Models with Angular Constraints Pengtao Xie, Yuntian Deng, Yi Zhou, Abhimanu Kumar, Yaoliang Yu, James Zou, Eric P. Xing