PinnedThanks for the appreciation, Its surreal for me to get acknowledged from the author itself.Feb 1, 2024Feb 1, 2024
Papers Explained 298: Llava-MiniLLaVA-Mini is a unified large multimodal model that can support the understanding of images, high-resolution images, and videos in an…13h ago13h ago
Papers Explained 297: MayaMaya is an open-source Multimodal Multilingual model to address the significant gaps remaining in the ability of current VLMs to handle…1d ago1d ago
Papers Explained 296: MAmmoTH-VLExisting multimodal instruction tuning datasets target simplistic tasks, and only provide phrase-level answers with- out any intermediate…2d ago2d ago
Papers Explained 295: ReaderLM v2ReaderLM’s second generation is a 1.5B parameter language model that converts raw HTML into beautifully formatted markdown or JSON with…5d ago5d ago
Papers Explained 294: Multi-LLM Text SummarizationThe multi-LLM summarization framework has two fundamentally important steps at each round of conversation: generation and evaluation. These…6d ago6d ago
Papers Explained 293: TLDRTLDR generation is a new form of extreme summarization, for scientific papers which involves high source compression and requires expert…Jan 22Jan 22
Papers Explained 292: Multiagent FinetuningMultiagent Fine Tuning is a complementary approach towards self-improvement where finetuning is applied to a multiagent society of language…Jan 21Jan 21
Papers Explained 291: Multiagent DebateMultiagent Debate is a complementary approach to improve language responses where multiple language model instances propose and debate…Jan 20Jan 20
Papers Explained 290: rStar-MathrStar-Math demonstrates that small language models (SLMs) can rival or even surpass the math reasoning capability of OpenAI o1, without…Jan 17Jan 17
