Vision Language Models Are Biased(vlmsarebiased.github.io)

138 points by taesiri 1 year ago | 109 comments

MiniGPT-4(minigpt-4.github.io)

812 points by GaggiX 3 years ago | 256 comments

Project page for MiniGPT-4, a KAUST research model enhancing vision-language understanding with advanced LLMs, with links to paper, code, and video.

Large Language Diffusion Models(ml-gsai.github.io)

29 points by SerCe 1 year ago | 7 comments

Language models can explain neurons in language models(openai.com)

659 points by mfiguiere 3 years ago | 416 comments

OpenAI research post describing using GPT-4 to automatically generate and score explanations of individual neuron behavior in GPT-2.

LLaVA: Large Language and Vision Assistant(llava-vl.github.io)

190 points by MacsHeadroom 3 years ago | 55 comments

Sequential modeling enables scalable learning for large vision models(yutongbai.com)

126 points by og_kalu 2 years ago | 51 comments

FastVLM: Efficient vision encoding for vision language models(github.com)

335 points by nhod 1 year ago | 68 comments

Apple's GitHub repository with the official implementation of FastVLM, an efficient vision encoding method for vision language models presented at CVPR 2025.

pldb: programming languages papers(pldb.kirancodes.me)

14 points by matt_d 25 days ago | 0 comments

pldb is a search engine over titles and abstracts of 33,580 programming languages research papers, from the first POPL in 1973 to current proceedings.

Training language models to be warm and empathetic makes them less reliable(arxiv.org)

334 points by Cynddl 1 year ago | 333 comments

arXiv paper finding that fine-tuning language models to be warm and empathetic raises error rates and makes them more sycophantic on safety-critical tasks.

Visual Anagrams: Generating optical illusions with diffusion models(dangeng.github.io)

758 points by beefman 2 years ago | 64 comments

Project page for Visual Anagrams, a University of Michigan research paper using pretrained diffusion models to generate multi-view optical illusions.

LLMs aren't world models(yosefk.com)

330 points by ingve 1 year ago | 189 comments

Blog post by Yossi Kreinin arguing that large language models are not world models, illustrated with examples like LLMs losing track of chess board state.

AI tools are spotting errors in research papers(nature.com)

555 points by kgwgk 1 year ago | 200 comments

Nature news article on a growing movement using AI and large language models to detect errors in research papers, sparked by a flawed black plastic utensils study.