Summary of Beyond Efficiency: Scaling Ai Sustainably, by Carole-jean Wu et al.
Beyond Efficiency: Scaling AI Sustainablyby Carole-Jean Wu, Bilge Acun, Ramya Raghavendra, Kim HazelwoodFirst submitted to…
Summary of Lococo: Dropping in Convolutions For Long Context Compression, by Ruisi Cai et al.
LoCoCo: Dropping In Convolutions for Long Context Compressionby Ruisi Cai, Yuandong Tian, Zhangyang Wang, Beidi…
Summary of Cmamba: Channel Correlation Enhanced State Space Models For Multivariate Time Series Forecasting, by Chaolv Zeng et al.
CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecastingby Chaolv Zeng, Zhanyu…
Summary of Hints-in-browser: Benchmarking Language Models For Programming Feedback Generation, by Nachiket Kotalwar et al.
Hints-In-Browser: Benchmarking Language Models for Programming Feedback Generationby Nachiket Kotalwar, Alkis Gotovos, Adish SinglaFirst submitted…
Summary of Pretraining Decision Transformers with Reward Prediction For In-context Multi-task Structured Bandit Learning, by Subhojyoti Mukherjee et al.
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learningby Subhojyoti Mukherjee, Josiah…
Summary of Progressive Entropic Optimal Transport Solvers, by Parnian Kassraie et al.
Progressive Entropic Optimal Transport Solversby Parnian Kassraie, Aram-Alexandre Pooladian, Michal Klein, James Thornton, Jonathan Niles-Weed,…
Summary of Massively Multiagent Minigames For Training Generalist Agents, by Kyoung Whan Choe et al.
Massively Multiagent Minigames for Training Generalist Agentsby Kyoung Whan Choe, Ryan Sullivan, Joseph SuárezFirst submitted…
Summary of Linearization Turns Neural Operators Into Function-valued Gaussian Processes, by Emilia Magnani et al.
Linearization Turns Neural Operators into Function-Valued Gaussian Processesby Emilia Magnani, Marvin Pförtner, Tobias Weber, Philipp…
Summary of Optimizing Time Series Forecasting Architectures: a Hierarchical Neural Architecture Search Approach, by Difan Deng and Marius Lindauer
Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approachby Difan Deng, Marius LindauerFirst…
Summary of Sumie: a Synthetic Benchmark For Incremental Entity Summarization, by Eunjeong Hwang et al.
SUMIE: A Synthetic Benchmark for Incremental Entity Summarizationby Eunjeong Hwang, Yichao Zhou, Beliz Gunel, James…