Summary of When Benchmarks Are Targets: Revealing the Sensitivity Of Large Language Model Leaderboards, by Norah Alzahrani et al.
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboardsby Norah Alzahrani, Hisham…
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboardsby Norah Alzahrani, Hisham…
COA-GPT: Generative Pre-trained Transformers for Accelerated Course of Action Development in Military Operationsby Vinicius G.…
DoubleMLDeep: Estimation of Causal Effects with Multimodal Databy Sven Klaassen, Jan Teichert-Kluge, Philipp Bach, Victor…
Closing the Gap in Human Behavior Analysis: A Pipeline for Synthesizing Trimodal Databy Christian Stippel,…
Decoding Speculative Decodingby Minghao Yan, Saurabh Agarwal, Shivaram VenkataramanFirst submitted to arxiv on: 2 Feb…
Adaptive Optimization for Prediction with Missing Databy Dimitris Bertsimas, Arthur Delarue, Jean PauphiletFirst submitted to…
Privacy-Preserving Distributed Learning for Residential Short-Term Load Forecastingby Yi Dong, Yingjie Wang, Mariana Gama, Mustafa…
TrustAgent: Towards Safe and Trustworthy LLM-based Agentsby Wenyue Hua, Xianjun Yang, Mingyu Jin, Zelong Li,…
Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguiseby Kwangjun Ahn,…
Natural Counterfactuals With Necessary Backtrackingby Guang-Yuan Hao, Jiji Zhang, Biwei Huang, Hao Wang, Kun ZhangFirst…