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Collections including paper arxiv:2304.05028

Papers - Dataset Storage - Lessons Learned

An Empirical Evaluation of Columnar Storage Formats

Paper • 2304.05028 • Published Apr 11, 2023 • 1

Papers - Dataset Storage - Zarr

An Empirical Evaluation of Columnar Storage Formats

Paper • 2304.05028 • Published Apr 11, 2023 • 1

Papers - Voltron Data

An Empirical Evaluation of Columnar Storage Formats

Paper • 2304.05028 • Published Apr 11, 2023 • 1

Papers - Dataset Storage - Parquet

An Empirical Evaluation of Columnar Storage Formats

Paper • 2304.05028 • Published Apr 11, 2023 • 1

Papers - University - Tsinghua University

Condition-Aware Neural Network for Controlled Image Generation

Paper • 2404.01143 • Published Apr 1, 2024 • 13
FlexiDreamer: Single Image-to-3D Generation with FlexiCubes

Paper • 2404.00987 • Published Apr 1, 2024 • 23
Advancing LLM Reasoning Generalists with Preference Trees

Paper • 2404.02078 • Published Apr 2, 2024 • 46
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline

Paper • 2404.02893 • Published Apr 3, 2024 • 21

Papers - Dataset Storage - Technical Report

An Empirical Evaluation of Columnar Storage Formats

Paper • 2304.05028 • Published Apr 11, 2023 • 1

Papers - Dataset Storage - cuDF - Parquet and Orc

See figure 19. Orc with cuDF beat parquet cuDF. Parquet arrow has dramatically more throughput without access to gpus

An Empirical Evaluation of Columnar Storage Formats

Paper • 2304.05028 • Published Apr 11, 2023 • 1

Papers - Dataset Storage - Orc

An Empirical Evaluation of Columnar Storage Formats

Paper • 2304.05028 • Published Apr 11, 2023 • 1

Papers - Dataset Storage - Orc vs Parquet

Local (gpu/cpu), compression (zstd) and over the wan (orc over s3 beats parquet too) results

An Empirical Evaluation of Columnar Storage Formats

Paper • 2304.05028 • Published Apr 11, 2023 • 1

Papers - University - Carnegie Mellon University

Can large language models explore in-context?

Paper • 2403.15371 • Published Mar 22, 2024 • 33
Long-context LLMs Struggle with Long In-context Learning

Paper • 2404.02060 • Published Apr 2, 2024 • 37
PIQA: Reasoning about Physical Commonsense in Natural Language

Paper • 1911.11641 • Published Nov 26, 2019 • 5
AQuA: A Benchmarking Tool for Label Quality Assessment

Paper • 2306.09467 • Published Jun 15, 2023 • 1

Papers - Dataset Storage - Lessons Learned

An Empirical Evaluation of Columnar Storage Formats

Paper • 2304.05028 • Published Apr 11, 2023 • 1

Papers - Dataset Storage - Technical Report

An Empirical Evaluation of Columnar Storage Formats

Paper • 2304.05028 • Published Apr 11, 2023 • 1

Papers - Dataset Storage - Zarr

An Empirical Evaluation of Columnar Storage Formats

Paper • 2304.05028 • Published Apr 11, 2023 • 1

Papers - Dataset Storage - cuDF - Parquet and Orc

See figure 19. Orc with cuDF beat parquet cuDF. Parquet arrow has dramatically more throughput without access to gpus

An Empirical Evaluation of Columnar Storage Formats

Paper • 2304.05028 • Published Apr 11, 2023 • 1

Papers - Voltron Data

An Empirical Evaluation of Columnar Storage Formats

Paper • 2304.05028 • Published Apr 11, 2023 • 1

Papers - Dataset Storage - Orc

An Empirical Evaluation of Columnar Storage Formats

Paper • 2304.05028 • Published Apr 11, 2023 • 1

Papers - Dataset Storage - Parquet

An Empirical Evaluation of Columnar Storage Formats

Paper • 2304.05028 • Published Apr 11, 2023 • 1

Papers - Dataset Storage - Orc vs Parquet

Local (gpu/cpu), compression (zstd) and over the wan (orc over s3 beats parquet too) results

An Empirical Evaluation of Columnar Storage Formats

Paper • 2304.05028 • Published Apr 11, 2023 • 1

Papers - University - Tsinghua University

Condition-Aware Neural Network for Controlled Image Generation

Paper • 2404.01143 • Published Apr 1, 2024 • 13
FlexiDreamer: Single Image-to-3D Generation with FlexiCubes

Paper • 2404.00987 • Published Apr 1, 2024 • 23
Advancing LLM Reasoning Generalists with Preference Trees

Paper • 2404.02078 • Published Apr 2, 2024 • 46
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline

Paper • 2404.02893 • Published Apr 3, 2024 • 21

Papers - University - Carnegie Mellon University

Can large language models explore in-context?

Paper • 2403.15371 • Published Mar 22, 2024 • 33
Long-context LLMs Struggle with Long In-context Learning

Paper • 2404.02060 • Published Apr 2, 2024 • 37
PIQA: Reasoning about Physical Commonsense in Natural Language

Paper • 1911.11641 • Published Nov 26, 2019 • 5
AQuA: A Benchmarking Tool for Label Quality Assessment

Paper • 2306.09467 • Published Jun 15, 2023 • 1

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