# NeurIPS 2023: Our Favorite Papers on LLMs, Statistical Learning, and More

DevFeed: [NeurIPS 2023: Our Favorite Papers on LLMs, Statistical Learning, and More](<https://devfeed.tech/articles/neurips-2023-our-favorite-papers-on-llms-statistical-learning-and-more-39479.md>)

Original publisher: [Read original article](<https://www.twosigma.com/articles/neurips-2023-our-favorite-papers-on-llms-statistical-learning-and-more/>)

Author: Emily Majewski

Published: 2024-03-21T19:52:06Z

Content type: article

Language: en

Sources: [Two Sigma Engineering](<https://devfeed.tech/sources/two-sigma-engineering.md>)

Topics: [NeurIPS](<https://devfeed.tech/topics/neurips.md>), [machine learning research](<https://devfeed.tech/topics/machine-learning-research.md>), [LLMs](<https://devfeed.tech/topics/llms.md>), [LLM evaluation / benchmarking](<https://devfeed.tech/topics/llm-evaluation-benchmarking.md>), [Machine learning](<https://devfeed.tech/topics/machine-learning.md>)

Tags: [evaluation](<https://devfeed.tech/tags/evaluation.md>), [llms](<https://devfeed.tech/tags/llms.md>), [machine-learning-research](<https://devfeed.tech/tags/machine-learning-research.md>), [neurips](<https://devfeed.tech/tags/neurips.md>), [papers](<https://devfeed.tech/tags/papers.md>)

## AI overview

Two Sigma reviews selected papers and presentations from NeurIPS 2023, with particular attention to large language models and statistical learning. It discusses research arguing that some apparent emergent abilities in LLMs may result from nonlinear metrics, limited evaluation resolution, and insufficient sampling.

## Source excerpt

The post NeurIPS 2023: Our Favorite Papers on LLMs, Statistical Learning, and More appeared first on Two Sigma.