Yizhe Zhang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 24

Top Topics

Language Modeling

Deductive Reasoning

Diffusion Models

Top Venues

Publications

Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji
Executable Code Actions Elicit Better LLM Agents. CoRR (2024)
Zhuofeng Wu, He Bai, Aonan Zhang, Jiatao Gu, V. G. Vinod Vydiswaran, Navdeep Jaitly, Yizhe Zhang
Divide-or-Conquer? Which Part Should You Distill Your LLM? CoRR (2024)
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Joshua M. Susskind, Navdeep Jaitly
Matryoshka Diffusion Models. ICLR (2024)
Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Josh M. Susskind, Navdeep Jaitly, Shuangfei Zhai
Improving GFlowNets for Text-to-Image Diffusion Alignment. CoRR (2024)
Yizhe Zhang, Jiarui Lu, Navdeep Jaitly
Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games. ACL (1) (2024)
Pratyush Maini, Skyler Seto, He Bai, David Grangier, Yizhe Zhang, Navdeep Jaitly
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling. CoRR (2024)
Pratyush Maini, Skyler Seto, Richard He Bai, David Grangier, Yizhe Zhang, Navdeep Jaitly
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling. ACL (1) (2024)
Ying Shen, Yizhe Zhang, Shuangfei Zhai, Lifu Huang, Joshua M. Susskind, Jiatao Gu
Many-to-many Image Generation with Auto-regressive Diffusion Models. CoRR (2024)
Yizhe Zhang, He Bai, Ruixiang Zhang, Jiatao Gu, Shuangfei Zhai, Josh M. Susskind, Navdeep Jaitly
How Far Are We from Intelligent Visual Deductive Reasoning? CoRR (2024)
Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Joshua M. Susskind
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling. CoRR (2024)
Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Joshua M. Susskind, Navdeep Jaitly
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model. NeurIPS (2023)
Yizhe Zhang, Jiarui Lu, Navdeep Jaitly
The Entity-Deduction Arena: A playground for probing the conversational reasoning and planning capabilities of LLMs. CoRR (2023)
Shangshang Zheng, He Bai, Yizhe Zhang, Yi Su, Xiaochuan Niu, Navdeep Jaitly
KGLens: A Parameterized Knowledge Graph Solution to Assess What an LLM Does and Doesn't Know. CoRR (2023)
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Josh M. Susskind, Navdeep Jaitly
Matryoshka Diffusion Models. CoRR (2023)
Felix Faltings, Michel Galley, Kianté Brantley, Baolin Peng, Weixin Cai, Yizhe Zhang, Jianfeng Gao, Bill Dolan
Interactive Text Generation. EMNLP (2023)
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Josh M. Susskind
BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping. CoRR (2023)
Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M. Susskind
Stabilizing Transformer Training by Preventing Attention Entropy Collapse. CoRR (2023)
Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Josh M. Susskind, Navdeep Jaitly
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model. CoRR (2023)
Felix Faltings, Michel Galley, Baolin Peng, Kianté Brantley, Weixin Cai, Yizhe Zhang, Jianfeng Gao, Bill Dolan
Interactive Text Generation. CoRR (2023)
Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M. Susskind
Stabilizing Transformer Training by Preventing Attention Entropy Collapse. ICML (2023)
Zhisong Zhang, Yizhe Zhang, Bill Dolan
Towards More Efficient Insertion Transformer with Fractional Positional Encoding. EACL (2023)
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Ángel Bautista, Joshua M. Susskind
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation. ICLR (2023)
Gyuwan Kim, Jinhyuk Lee, Barlas Oguz, Wenhan Xiong, Yizhe Zhang, Yashar Mehdad, William Yang Wang
Bridging the Training-Inference Gap for Dense Phrase Retrieval. EMNLP (Findings) (2022)
Yizhe Zhang, Deng Cai
Linearizing Transformer with Key-Value Memory. EMNLP (2022)