Multimodal-AND-Large-Language-Models

Why we included this project

This is a personal reading list of multimodal and large language model papers, kept by a researcher whose own work touches LLM post-training and coding agents. It is not a sweep of every arxiv submission; the author records only papers that struck him as genuinely insightful, then groups them by topic, from reasoning and alignment to agents, vision-language foundation models, and inference-time scaling. For researchers, grad students, and engineers trying to keep up with the LLM literature, that filter is the point: you get a shortlist of what is worth reading without wading through the daily flood. It is a reference and learning resource rather than software you can run, but the curation is what makes it useful.