RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers

Kavli Affiliate: Jing Wang | First 5 Authors: Ke Cao, Jing Wang, Ao Ma, Jiasong Feng, Zhanjie Zhang | Summary: The Diffusion Transformer plays a pivotal role in advancing text-to-image and text-to-video generation, owing primarily to its inherent scalability. However, existing controlled diffusion transformer methods incur significant parameter and computational overheads and suffer from inefficient […]


Continue.. RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers

RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers

Kavli Affiliate: Jing Wang | First 5 Authors: Ke Cao, Jing Wang, Ao Ma, Jiasong Feng, Zhanjie Zhang | Summary: The Diffusion Transformer plays a pivotal role in advancing text-to-image and text-to-video generation, owing primarily to its inherent scalability. However, existing controlled diffusion transformer methods incur significant parameter and computational overheads and suffer from inefficient […]


Continue.. RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers

NVR: Vector Runahead on NPUs for Sparse Memory Access

Kavli Affiliate: Jing Wang | First 5 Authors: Hui Wang, Zhengpeng Zhao, Jing Wang, Yushu Du, Yuan Cheng | Summary: Deep Neural Networks are increasingly leveraging sparsity to reduce the scaling up of model parameter size. However, reducing wall-clock time through sparsity and pruning remains challenging due to irregular memory access patterns, leading to frequent […]


Continue.. NVR: Vector Runahead on NPUs for Sparse Memory Access

EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning

Kavli Affiliate: Ke Wang | First 5 Authors: Xiaoqian Liu, Ke Wang, Yongbin Li, Yuchuan Wu, Wentao Ma | Summary: Large Language Models (LLMs) have shown impressive reasoning capabilities in well-defined problems with clear solutions, such as mathematics and coding. However, they still struggle with complex real-world scenarios like business negotiations, which require strategic reasoning-an […]


Continue.. EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning

EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning

Kavli Affiliate: Ke Wang | First 5 Authors: Xiaoqian Liu, Ke Wang, Yongbin Li, Yuchuan Wu, Wentao Ma | Summary: Large Language Models (LLMs) have shown impressive reasoning capabilities in well-defined problems with clear solutions, such as mathematics and coding. However, they still struggle with complex real-world scenarios like business negotiations, which require strategic reasoning-an […]


Continue.. EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning

EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning

Kavli Affiliate: Ke Wang | First 5 Authors: Xiaoqian Liu, Ke Wang, Yongbin Li, Yuchuan Wu, Wentao Ma | Summary: Large Language Models (LLMs) have shown impressive reasoning capabilities in well-defined problems with clear solutions, such as mathematics and coding. However, they still struggle with complex real-world scenarios like business negotiations, which require strategic reasoning-an […]


Continue.. EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning

EquiBench: Benchmarking Code Reasoning Capabilities of Large Language Models via Equivalence Checking

Kavli Affiliate: Ke Wang | First 5 Authors: Anjiang Wei, Jiannan Cao, Ran Li, Hongyu Chen, Yuhui Zhang | Summary: Equivalence checking, i.e., determining whether two programs produce identical outputs for all possible inputs, underpins a broad range of applications, including software refactoring, testing, and optimization. We present the task of equivalence checking as a […]


Continue.. EquiBench: Benchmarking Code Reasoning Capabilities of Large Language Models via Equivalence Checking

EquiBench: Benchmarking Code Reasoning Capabilities of Large Language Models via Equivalence Checking

Kavli Affiliate: Ke Wang | First 5 Authors: Anjiang Wei, Jiannan Cao, Ran Li, Hongyu Chen, Yuhui Zhang | Summary: Equivalence checking, i.e., determining whether two programs produce identical outputs for all possible inputs, underpins a broad range of applications, including software refactoring, testing, and optimization. We present the task of equivalence checking as a […]


Continue.. EquiBench: Benchmarking Code Reasoning Capabilities of Large Language Models via Equivalence Checking

Dominant Role of Coplanar Inflows in Driving Disk Evolution Revealed by Gas-Phase Metallicity Gradients

Kavli Affiliate: Yingjie Peng | First 5 Authors: Cheqiu Lyu, Enci Wang, Hongxin Zhang, Yingjie Peng, Xin Wang | Summary: Using spatially resolved spectroscopic data from the MaNGA sample, we investigate the parameters influencing the radial gradients of gas-phase metallicity ($nablalog(mathrm{O/H})$), to determine whether disk formation is primarily driven by coplanar gas inflow or by […]


Continue.. Dominant Role of Coplanar Inflows in Driving Disk Evolution Revealed by Gas-Phase Metallicity Gradients

CSST Large Scale Structure Analysis Pipeline: III. Emission-line Redshift Measurement for Slitless Spectra

Kavli Affiliate: Hu Zhan | First 5 Authors: Jipeng Sui, Hu Zou, Xiaohu Yang, Xianzhong Zheng, Run Wen | Summary: The China Space Station Telescope (CSST) is a forthcoming space-based optical telescope designed to co-orbit with the Chinese Space Station. With a planned slitless spectroscopic survey spanning a broad wavelength range of $255-1000$nm and an […]


Continue.. CSST Large Scale Structure Analysis Pipeline: III. Emission-line Redshift Measurement for Slitless Spectra