Large Language Models Are Neurosymbolic Reasoners(arxiv.org)

94 points by optimalsolver 2 years ago | 86 comments

Large Language Models as Markov Chains(arxiv.org)

63 points by Anon84 1 year ago | 33 comments

Large Language Models As General Pattern Machines(arxiv.org)

60 points by optimalsolver 3 years ago | 24 comments

LM2: Large Memory Models(arxiv.org)

105 points by fzliu 1 year ago | 30 comments

Large language models often know when they are being evaluated(arxiv.org)

60 points by jonbaer 1 year ago | 74 comments

Large Language Model Reasoning Failures(arxiv.org)

25 points by T-A 8 months ago | 37 comments

How elites could shape mass preferences as AI reduces persuasion costs(arxiv.org)

662 points by 50kIters 10 months ago | 619 comments

arXiv economics paper modeling how elites could use cheap AI-driven persuasion to reshape public preferences, tending to push society toward polarization.

There Will Be a Scientific Theory of Deep Learning(arxiv.org)

320 points by jamie-simon 6 months ago | 142 comments

An arXiv position paper arguing that a scientific theory of deep learning is emerging, surveying five strands of research such as solvable models, scaling limits, and universal behaviors.

Deep Learning Is Not So Mysterious or Different(arxiv.org)

445 points by wuubuu 1 year ago | 112 comments

arXiv paper by Andrew Gordon Wilson arguing deep learning generalization phenomena like benign overfitting and double descent are explainable by soft inductive biases.

We need scientific dissidents(chronicle.com)

355 points by Georgelemental 3 years ago | 848 comments

Chronicle of Higher Education opinion essay arguing that the early artificial consensus on Covid's origins shows the need for scientific dissidents.

A Design Space Exploration of Async/Await(cel.cs.brown.edu)

431 points by wcrichton 1 month ago | 124 comments

Brown University Cognitive Engineering Lab blog post summarizing a paper comparing how async/await designs differ across programming languages.

LLMs use a surprisingly simple mechanism to retrieve some stored knowledge(news.mit.edu)

336 points by CharlesW 2 years ago | 121 comments

MIT News article on research showing LLMs often retrieve stored facts via simple linear functions, and a technique to probe what a model knows about subjects.