Manipulating large language models to increase product visibility (arxiv.org) | HN Screenshots

YHacker Newsscreenshots

Screenshot of arxiv.org: Manipulating large language models to increase product visibility

First screen, captured 2 years ago.

Looks similar

Screenshot of arxiv.org: ReMamba: Equip Mamba with Effective Long-Sequence Modeling

ReMamba: Equip Mamba with Effective Long-Sequence Modeling (arxiv.org)

30 points by PaulHoule 2 years ago | 1 comments

Screenshot of arxiv.org: Can LLMs Generate Novel Research Ideas?

Can LLMs Generate Novel Research Ideas?(arxiv.org)

40 points by kmdupree 2 years ago | 47 comments

Screenshot of arxiv.org: Talaria: Interactively Optimizing Machine Learning Models for Efficient Inferenc

Talaria: Interactively Optimizing Machine Learning Models for Efficient Inferenc (arxiv.org)

30 points by quantisan 2 years ago | 3 comments

Screenshot of arxiv.org: StructuredRAG: JSON Response Formatting with Large Language Models

StructuredRAG: JSON Response Formatting with Large Language Models (arxiv.org)

23 points by bobvanluijt 2 years ago | 3 comments

Screenshot of arxiv.org: Tutorial on diffusion models for imaging and vision

Tutorial on diffusion models for imaging and vision (arxiv.org)

202 points by Anon84 2 years ago | 15 comments

Screenshot of arxiv.org: Smaller, Weaker, yet Better: Training LLM Reasoners via Compute-Optimal Sampling

Smaller, Weaker, yet Better: Training LLM Reasoners via Compute-Optimal Sampling (arxiv.org)

42 points by towaihee 2 years ago | 5 comments