LLaVA-o1: Let Vision Language Models Reason Step-by-Step | #ai #genai #lvm #llm #mmm #cv #2024
AI Today27 Nov 2024

LLaVA-o1: Let Vision Language Models Reason Step-by-Step | #ai #genai #lvm #llm #mmm #cv #2024

Paper: https://arxiv.org/pdf/2411.10440 Github: https://github.com/PKU-YuanGroup/LLaV... The paper introduces LLaVA-o1, a vision-language model designed for improved multi-stage reasoning. Unlike previous models, LLaVA-o1 independently performs summarization, visual interpretation, logical reasoning, and conclusion generation. This structured approach, facilitated by a new dataset and a stage-level beam search method, significantly enhances performance on various multimodal reasoning benchmarks, surpassing even larger, closed-source models. The authors demonstrate the effectiveness of their method through extensive experiments and ablation studies, highlighting the importance of structured reasoning and inference-time scaling for advanced VLM capabilities. ai , computer vision , cv , peking university , artificial intelligence , arxiv , research , paper , publication , lvm , large visual models

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SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with MotionAware Mem | #2024

SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with MotionAware Mem | #2024

Paper: https://arxiv.org/pdf/2411.11922 Github: https://github.com/yangchris11/samurai Blog: https://yangchris11.github.io/samurai/ The paper introduces SAMURAI, a novel visual object tracking method...

27 Nov 202414min

Adding Error Bars to Evals: A Statistical Approach to LM Evaluations | #llm #genai #anthropic #2024

Adding Error Bars to Evals: A Statistical Approach to LM Evaluations | #llm #genai #anthropic #2024

Github: https://arxiv.org/pdf/2411.00640 This research paper advocates for incorporating rigorous statistical methods into the evaluation of large language models (LLMs). It introduces formulas for c...

27 Nov 202414min

Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions | #ai #llm #alibaba #genai #2024

Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions | #ai #llm #alibaba #genai #2024

Paper: https://arxiv.org/pdf/2411.14405 Github: https://github.com/AIDC-AI/Marco-o1 The Alibaba MarcoPolo team introduces Marco-o1, a large reasoning model designed to excel in open-ended problem-sol...

27 Nov 202414min

FLUX.I TOOLS | #ai #computervision #cv #BlackForestLabs #2024

FLUX.I TOOLS | #ai #computervision #cv #BlackForestLabs #2024

Github: https://github.com/black-forest-labs/... Black Forest Labs announced FLUX.1 Tools, a suite of four open-access and API-based models enhancing their FLUX.1 text-to-image model. FLUX.1 Fill exc...

27 Nov 202414min

Tülu 3 opens language model post-training up to more tasks and more people | #ai #llm #allenai #2024

Tülu 3 opens language model post-training up to more tasks and more people | #ai #llm #allenai #2024

Blog: https://allenai.org/blog/tulu-3 Summary The Allen Institute for Artificial Intelligence (Ai2) has released Tülu 3, an open-source family of post-trained language models. Unlike closed models fr...

27 Nov 202414min

Multimodal Autoregressive Pre-training of Large Vision Encoders | #ai #computervision #apple #2024

Multimodal Autoregressive Pre-training of Large Vision Encoders | #ai #computervision #apple #2024

Paper: https://arxiv.org/pdf/2411.14402 Github Link: https://github.com/apple/ml-aim This research introduces AIMV2, a family of large-scale vision encoders pre-trained using a novel multimodal auto...

27 Nov 202414min

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