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Found 5 papers, 1 papers with code
Tokenization Is More Than Compression
Tokenization is a foundational step in Natural Language Processing (NLP) tasks, bridging raw text and language models.
DocFinQA: A Long-Context Financial Reasoning Dataset
For large language models (LLMs) to be effective in the financial domain -- where each decision can have a significant impact -- it is necessary to investigate realistic tasks and data.
BizBench: A Quantitative Reasoning Benchmark for Business and Finance
We demonstrate that the current bottleneck in performance is due to LLMs' limited business and financial understanding, highlighting the value of a challenging benchmark for quantitative reasoning within this domain.
Mask Conditional Synthetic Satellite Imagery
In this paper we propose a mask-conditional synthetic image generation model for creating synthetic satellite imagery datasets.
Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry
For responsible decision making in safety-critical settings, machine learning models must effectively detect and process edge-case data.
