Summary of Postmark: a Robust Blackbox Watermark For Large Language Models, by Yapei Chang et al.
PostMark: A Robust Blackbox Watermark for Large Language Modelsby Yapei Chang, Kalpesh Krishna, Amir Houmansadr,…
Summary of On Newton’s Method to Unlearn Neural Networks, by Nhung Bui et al.
On Newton’s Method to Unlearn Neural Networksby Nhung Bui, Xinyang Lu, Rachael Hwee Ling Sim,…
Summary of Decimamba: Exploring the Length Extrapolation Potential Of Mamba, by Assaf Ben-kish et al.
DeciMamba: Exploring the Length Extrapolation Potential of Mambaby Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein, Nadav…
Summary of Fantastic Copyrighted Beasts and How (not) to Generate Them, by Luxi He et al.
Fantastic Copyrighted Beasts and How (Not) to Generate Themby Luxi He, Yangsibo Huang, Weijia Shi,…
Summary of A Benchmarking Study Of Kolmogorov-arnold Networks on Tabular Data, by Eleonora Poeta et al.
A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Databy Eleonora Poeta, Flavio Giobergia, Eliana Pastor,…
Summary of Rl on Incorrect Synthetic Data Scales the Efficiency Of Llm Math Reasoning by Eight-fold, By Amrith Setlur et al.
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Foldby Amrith…
Summary of Macrohft: Memory Augmented Context-aware Reinforcement Learning on High Frequency Trading, by Chuqiao Zong et al.
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Tradingby Chuqiao Zong, Chaojie Wang, Molei…
Summary of Connecting the Dots: Llms Can Infer and Verbalize Latent Structure From Disparate Training Data, by Johannes Treutlein et al.
Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Databy Johannes…
Summary of Consistency Models Made Easy, by Zhengyang Geng et al.
Consistency Models Made Easyby Zhengyang Geng, Ashwini Pokle, William Luo, Justin Lin, J. Zico KolterFirst…
Summary of Why Llms Are Bad at Synthetic Table Generation (and What to Do About It), by Shengzhe Xu et al.
Why LLMs Are Bad at Synthetic Table Generation (and what to do about it)by Shengzhe…