Summary of Propd: Dynamic Token Tree Pruning and Generation For Llm Parallel Decoding, by Shuzhang Zhong et al.
ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decodingby Shuzhang Zhong, Zebin Yang,…
Summary of Text-guided Molecule Generation with Diffusion Language Model, by Haisong Gong et al.
Text-Guided Molecule Generation with Diffusion Language Modelby Haisong Gong, Qiang Liu, Shu Wu, Liang WangFirst…
Summary of Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-series Dependencies and Intra-series Variations Modeling, by Guoqi Yu et al.
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modelingby Guoqi…
Summary of Nonstationary Time Series Forecasting Via Unknown Distribution Adaptation, by Zijian Li et al.
Nonstationary Time Series Forecasting via Unknown Distribution Adaptationby Zijian Li, Ruichu Cai, Zhenhui Yang, Haiqin…
Summary of Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-correct Decoding, by Hanling Yi et al.
Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct Decodingby Hanling Yi,…
Summary of Accelerating Parallel Sampling Of Diffusion Models, by Zhiwei Tang et al.
Accelerating Parallel Sampling of Diffusion Modelsby Zhiwei Tang, Jiasheng Tang, Hao Luo, Fan Wang, Tsung-Hui…
Summary of Leveraging the Context Through Multi-round Interactions For Jailbreaking Attacks, by Yixin Cheng et al.
Leveraging the Context through Multi-Round Interactions for Jailbreaking Attacksby Yixin Cheng, Markos Georgopoulos, Volkan Cevher,…
Summary of Diffusion Of Thoughts: Chain-of-thought Reasoning in Diffusion Language Models, by Jiacheng Ye et al.
Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Modelsby Jiacheng Ye, Shansan Gong, Liheng Chen,…
Summary of Towards An Understanding Of Stepwise Inference in Transformers: a Synthetic Graph Navigation Model, by Mikail Khona et al.
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Modelby Mikail Khona,…
Summary of How Do Transformers Perform In-context Autoregressive Learning?, by Michael E. Sander et al.
How do Transformers perform In-Context Autoregressive Learning?by Michael E. Sander, Raja Giryes, Taiji Suzuki, Mathieu…