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Geometric Median Matching for Robust k-Subset Selection from Noisy Data
Arxiv
0+阅读 · 4月3日
On Distributed Larger-Than-Memory Subset Selection With Pairwise Submodular Functions
On Distributed Larger-Than-Memory Subset Selection With Pairwise Submodular Functions
Arxiv
0+阅读 · 4月3日
Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme
Arxiv
0+阅读 · 4月3日
Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data
Arxiv
0+阅读 · 4月3日
AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World
AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World
Arxiv
0+阅读 · 4月2日
RePoseD: Efficient Relative Pose Estimation With Known Depth Information
Arxiv
0+阅读 · 4月3日
CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale
Arxiv
0+阅读 · 4月2日
MegaScale-Infer: Serving Mixture-of-Experts at Scale with Disaggregated Expert Parallelism
Arxiv
0+阅读 · 4月3日
Scaling Analysis of Interleaved Speech-Text Language Models
Arxiv
0+阅读 · 4月3日
GraphGen+: Advancing Distributed Subgraph Generation and Graph Learning On Industrial Graphs
Arxiv
0+阅读 · 4月2日
MultiBLiMP 1.0: A Massively Multilingual Benchmark of Linguistic Minimal Pairs
Arxiv
0+阅读 · 4月3日
Inference-Time Scaling for Generalist Reward Modeling
Arxiv
0+阅读 · 4月3日
TeleMoM: Consensus-Driven Telecom Intelligence via Mixture of Models
Arxiv
0+阅读 · 4月3日
Measurement of LLM's Philosophies of Human Nature
Arxiv
0+阅读 · 4月3日
Scaling Laws in Scientific Discovery with AI and Robot Scientists
Scaling Laws in Scientific Discovery with AI and Robot Scientists
Arxiv
0+阅读 · 4月3日
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