8/ AnomalyGPT – an approach for industrial anomaly detection based on large vision-language models; it simulates anomalous images and textual descriptions to generate training data; employs an image decoder and prompt learner to detect anomalies.
@dair_ai
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MVDream: Multi-View Diffusion Model for 3D Image Generation
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5/ MVDream – a multi-view diffusion model that can generate geometrically consistent multi-view images given a text prompt; it leverages pre-trained diffusion models and a multi-view dataset rendered from 3D assets.https://t.co/wlsC7DRViB
— DAIR.AI (@dair_ai) 3 septembre 20235/ MVDream – a multi-view diffusion model that can generate geometrically consistent multi-view images given a text prompt; it leverages pre-trained diffusion models and a multi-view dataset rendered from 3D assets.
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Graph of Thoughts: Network Reasoning Approach for LLMs
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4/ Graph of Thoughts – a prompting approach that models text generated by LLMs as an arbitrary graph; enables combining arbitrary "thoughts" and enhancing them using feedback loops; the core idea is to enhance the LLMs through "network reasoning".
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Large Language and Speech Model Enables Natural Conversational AI
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1/ Large Language and Speech Model – proposes a large language and speech model trained with cross-modal conversational abilities that supports speech-and-language instruction enabling more natural interactions with AI systems.
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Top ML Research Papers: AnomalyGPT, SAM-Med2D, Graph of Thoughts
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Top ML Papers of the Week (Aug 28 – Sep 3): – AnomalyGPT
– SAM-Med2D
– Graph of Thoughts
– Factuality Detection in LLMs
– Large Language and Speech Model
– Vector Search with OpenAI Embeddings
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Language-to-Rewards System for Robotic Skill Synthesis
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10/ Language to Rewards for Robotic Skill Synthesis – proposes a new language-to-reward system that utilizes LLMs to define optimizable reward parameters to achieve a variety of robotic tasks.https://t.co/8ztl4MMyjS
— DAIR.AI (@dair_ai) 27 août 202310/ Language to Rewards for Robotic Skill Synthesis – proposes a new language-to-reward system that utilizes LLMs to define optimizable reward parameters to achieve a variety of robotic tasks.
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LegalBench: Legal Reasoning Benchmark for LLMs
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9/ LegalBench – a collaboratively constructed benchmark for measuring legal reasoning in LLMs; it consists of 162 tasks covering 6 different types of legal reasoning.
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Survey of LLM-Based Autonomous Agents and Applications
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7/ A Survey on LLM-based Autonomous Agents – presents a survey of LLM-based autonomous agents; delivers a systematic review of the field and a summary of various applications of LLM-based AI agents in domains like social science and engineering.
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Prompt2Model: Automated Small Model Training Pipeline
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8/ Prompt2Model – takes a prompt describing a task and trains a small model that is conducive to deployment; the pipeline automatically collects and synthesizes knowledge through three channels: dataset retrieval, dataset generation, and model retrieval.
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Giraffe: Extended Context Length LLMs from Llama Base Models
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5/ Giraffe – new models that are fine-tuned from base Llama and Llama 2; extends the context length to 4K, 16K, and 32K; explores the space of expanding context lengths in LLMs so it also includes insights useful for practitioners and researchers.