Yuntian Deng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
12
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | TokDrift: When LLM Speaks in Subwords but Code Speaks in Grammar. | Yinxi Li, Yuntian Deng, Pengyu Nie |
| 2025 | EMNLP | From Chat Logs to Collective Insights: Aggregative Question Answering. | Wentao Zhang, Woojeong Kim, Yuntian Deng |
| 2025 | EMNLP | Interactive Training: Feedback-Driven Neural Network Optimization. | Wentao Zhang, Yang Young Lu, Yuntian Deng |
| 2025 | ICLR | WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild. | Bill Yuchen Lin, Yuntian Deng, Khyathi Raghavi Chandu, Abhilasha Ravichander, Valentina Pyatkin, Nouha Dziri, Ronan Le Bras, Yejin Choi |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2024 | EMNLP | WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild. | Yuntian Deng, Wenting Zhao, Jack Hessel, Xiang Ren, Claire Cardie, Yejin Choi |
| 2024 | ICLR | WildChat: 1M ChatGPT Interaction Logs in the Wild. | Wenting Zhao, Xiang Ren, Jack Hessel, Claire Cardie, Yejin Choi, Yuntian Deng |
| 2023 | EMNLP | Tree Prompting: Efficient Task Adaptation without Fine-Tuning. | Chandan Singh, John X. Morris, Alexander M. Rush, Jianfeng Gao, Yuntian Deng |
| 2023 | ICLR | Markup-to-Image Diffusion Models with Scheduled Sampling. | Yuntian Deng, Noriyuki Kojima, Alexander M. Rush |
| 2023 | ICLR | 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 |
| 2022 | AISTATS | Weighted Gaussian Process Bandits for Non-stationary Environments. | Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness B. Shroff |
| 2022 | EMNLP | Model Criticism for Long-Form Text Generation. | Yuntian Deng, Volodymyr Kuleshov, Alexander M. Rush |
| 2022 | WiOpt | Interference Constrained Beam Alignment for Time-Varying Channels via Kernelized Bandits. | Yuntian Deng, Xingyu Zhou, Arnob Ghosh, Abhishek Gupta, Ness B. Shroff |
| 2021 | EMNLP | Sequence-to-Lattice Models for Fast Translation. | Yuntian Deng, Alexander M. Rush |
| 2021 | EMNLP | Rationales for Sequential Predictions. | Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush |
| 2020 | DAC | Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference. | Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei |
| 2020 | ICLR | Residual Energy-Based Models for Text Generation. | Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato |
| 2019 | EMNLP | Neural Linguistic Steganography. | Zachary M. Ziegler, Yuntian Deng, Alexander M. Rush |
| 2019 | FlAIRS | Visual Attention Model for Cross-Sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning. | Ran Zhao, Yuntian Deng, Mark Dredze, Arun Verma, David S. Rosenberg, Amanda Stent |
| 2019 | ICDAR | Challenges in End-to-End Neural Scientific Table Recognition. | Yuntian Deng, David S. Rosenberg, Gideon Mann |
| 2018 | AMTA | OpenNMT: Neural Machine Translation Toolkit. | Guillaume Klein, Yoon Kim, Yuntian Deng, Vincent Nguyen, Jean Senellart, Alexander M. Rush |
| 2018 | EMNLP | Bottom-Up Abstractive Summarization. | Sebastian Gehrmann, Yuntian Deng, Alexander M. Rush |
| 2017 | ACL | OpenNMT: Open-Source Toolkit for Neural Machine Translation. | Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, Alexander M. Rush |
| 2017 | EACL | Neural Machine Translation with Recurrent Attention Modeling. | Zichao Yang, Zhiting Hu, Yuntian Deng, Chris Dyer, Alexander J. Smola |
| 2017 | ICLR | Dropout with Expectation-linear Regularization. | Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard H. Hovy |
| 2017 | ICML | Image-to-Markup Generation with Coarse-to-Fine Attention. | Yuntian Deng, Anssi Kanervisto, Jeffrey Ling, Alexander M. Rush |
| 2017 | ICML | Learning Latent Space Models with Angular Constraints. | Pengtao Xie, Yuntian Deng, Yi Zhou, Abhimanu Kumar, Yaoliang Yu, James Zou, Eric P. Xing |
| 2016 | ACL | Learning Concept Taxonomies from Multi-modal Data. | Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing |
| 2015 | ACL | Entity Hierarchy Embedding. | Zhiting Hu, Poyao Huang, Yuntian Deng, Yingkai Gao, Eric P. Xing |
| 2015 | KDD | Diversifying Restricted Boltzmann Machine for Document Modeling. | Pengtao Xie, Yuntian Deng, Eric P. Xing |