Introducing Mercury 2, the fastest reasoning LLM

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Introducing Mercury 2, the fastest reasoning LLM

Research

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2025

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2024

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2023

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2020

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2019

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Mercury: Ultra-Fast Language Models Based on Diffusion

Samar Khanna, Siddhant Kharbanda, Shufan Li, Harshit Varma, Eric Wang, Sawyer Birnbaum, Ziyang Luo, Yanis Miraoui, Akash Palrecha, Stefano Ermon, Aditya Grover

Jun 17, 2025

Mercury

Mercury: Ultra-Fast Language Models Based on Diffusion

Samar Khanna, Siddhant Kharbanda, Shufan Li, Harshit Varma, Eric Wang, Sawyer Birnbaum, Ziyang Luo, Yanis Miraoui, Akash Palrecha, Stefano Ermon, Aditya Grover

Jun 17, 2025

Mercury

LaViDa: A Large Diffusion Language Model for Multimodal Understanding

Shufan Li, Konstantinos Kallidromitis, Hritik Bansal, Akash Gokul, Yusuke Kato, Kazuki Kozuka, Jason Kuen, Zhe Lin, Kai-Wei Chang, Aditya Grover

May 22, 2025

LAVIDA

LaViDa: A Large Diffusion Language Model for Multimodal Understanding

Shufan Li, Konstantinos Kallidromitis, Hritik Bansal, Akash Gokul, Yusuke Kato, Kazuki Kozuka, Jason Kuen, Zhe Lin, Kai-Wei Chang, Aditya Grover

May 22, 2025

LAVIDA

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Siyan Zhao, Devaansh Gupta, Qinqing Zheng, Aditya Grover

Apr 16, 2025

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Siyan Zhao, Devaansh Gupta, Qinqing Zheng, Aditya Grover

Apr 16, 2025

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

Marianne Arriola, Aaron Gokaslan, Justin T. Chiu, Zhihan Yang, Zhixuan Qi, Jiaqi Han, Subham Sekhar Sahoo, Volodymyr Kuleshov

Mar 12, 2025

Diffusion

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

Marianne Arriola, Aaron Gokaslan, Justin T. Chiu, Zhihan Yang, Zhixuan Qi, Jiaqi Han, Subham Sekhar Sahoo, Volodymyr Kuleshov

Mar 12, 2025

Diffusion

Remasking Discrete Diffusion Models with Inference-Time Scaling

Guanghan Wang, Yair Schiff, Subham Sekhar Sahoo, Volodymyr Kuleshov

Mar 1, 2025

Diffusion

Remasking Discrete Diffusion Models with Inference-Time Scaling

Guanghan Wang, Yair Schiff, Subham Sekhar Sahoo, Volodymyr Kuleshov

Mar 1, 2025

Diffusion

Simple Guidance Mechanisms for Discrete Diffusion Models

Yair Schiff, Subham Sekhar Sahoo, Guanghan Wang, Hao Phung, Alexander Rush, Volodymyr Kuleshov

Dec 13, 2024

Diffusion

Simple Guidance Mechanisms for Discrete Diffusion Models

Yair Schiff, Subham Sekhar Sahoo, Guanghan Wang, Hao Phung, Alexander Rush, Volodymyr Kuleshov

Dec 13, 2024

Diffusion

Simple and Effective Masked Diffusion Language Models

Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T Chiu, Alexander Rush, Volodymyr Kuleshov

Nov 10, 2024

Diffusion

Simple and Effective Masked Diffusion Language Models

Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T Chiu, Alexander Rush, Volodymyr Kuleshov

Nov 10, 2024

Diffusion

Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution

Aaron Lou, Chenlin Meng, Stefano Ermon

Oct 25, 2023

Diffusion

Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution

Aaron Lou, Chenlin Meng, Stefano Ermon

Oct 25, 2023

Diffusion

Score-Based Generative Modeling through Stochastic Differential Equations

Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole

Nov 26, 2020

Modeling

Score-Based Generative Modeling through Stochastic Differential Equations

Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole

Nov 26, 2020

Modeling

Generative Modeling by Estimating Gradients of the Data Distribution

Yang Song, Stefano Ermon

Jul 12, 2019

Modeling

Generative Modeling by Estimating Gradients of the Data Distribution

Yang Song, Stefano Ermon

Jul 12, 2019

Modeling

The future of LLMs is here

Early Access

The future of LLMs is here

Early Access

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