Symmetric Linear Bandits with Hidden Symmetry
However, it may not be available in practice.
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InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models
With the rapid development of code LLMs, many popular evaluation benchmarks, such as HumanEval, DS-1000, and MBPP, have emerged to measure the performance of code LLMs with a particular focus on code generation tasks. However, they are insufficient to cover the full range of expected capabilities of code LLMs, which span beyond code generation to answering diverse coding-related questions.
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Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry
This work was done while M. Menart was at The Ohio State University.
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Decision-aware learning for geographical districting
Districting is a complex combinatorial problem that consists in partitioning a geographical area into small districts.
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Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing
We build our dataset from triangu-lated meshes derived from Objaverse-XL and Thingi10K datasets.
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A hierarchical decomposition for explaining ML performance discrepancies
Machine learning (ML) algorithms can often differ in performance across domains.
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Stabilizing Zero-Shot Prediction: A Novel Antidote to Forgetting in Continual Vision-Language Tasks Zijian Gao
Continual learning (CL) empowers pre-trained vision-language (VL) models to efficiently adapt to a sequence of downstream tasks.
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