OPENSCHOLAR: SYNTHESIZING SCIENTIFICLITERATURE WITH RETRIEVAL-AUGMENTED LMS | #ai #genai #llm #2024
AI Today27 Nov 2024

OPENSCHOLAR: SYNTHESIZING SCIENTIFICLITERATURE WITH RETRIEVAL-AUGMENTED LMS | #ai #genai #llm #2024

Paper: https://arxiv.org/pdf/2411.14199 Github: https://github.com/AkariAsai/OpenScholar The research introduces OpenScholar, a retrieval-augmented large language model (LLM) designed for synthesizing scientific literature. OpenScholar uses a large datastore of open-access papers and iterative self-feedback to generate high-quality responses to scientific questions, including accurate citations. A new benchmark, ScholarQABench, is introduced for evaluating open-ended scientific question answering, incorporating both automatic and human evaluations. Experiments demonstrate OpenScholar's superior performance compared to other LLMs and even human experts in certain aspects, particularly in terms of information coverage. Limitations of OpenScholar and ScholarQABench are discussed, alongside plans for open-sourcing the model and benchmark. ai , llm , retrieval augmented, rag , artificial intelligence , arxiv , research , paper , publication , genai , generativeai, agentic

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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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