Benchmarking LLMs for news summarization. 7 of 11
@dair_ai
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Multimodal Chain-of-Thought Reasoning Advances Model Inference
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Multimodal Chain-of-Though Reasoning – incorporates vision features to elicit chain-of-thought reasoning in multimodality, enabling the model to generate effective rationales that contribute to answer inference. 5 of 11
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Diffusion Models Memorize Training Data Images
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Extracting Training Data from Diffusion Models – shows that diffusion-based generative models can memorize images from the training data and emit them at generation time. 3 of 11
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REPLUG: Retrieval-Augmented Framework for Large Language Models
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REPLUG – a retrieval-augmented LM framework that adapts a retriever to a large-scale, black-box LM like GPT-3. 2 of 11 https://
x.com/WeijiaShi2/sta
tus/1620497381962977281?s=20&t=CkO9Xon5RzSgwvKKf7aYyQ
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Top ML Papers of the Week: REPLUG, SceneDreamer, FLAN
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Top ML Papers of the Week (Jan 30 – Feb 5): – REPLUG
– SceneDreamer
– The FLAN collection
– Distractability of LLMs
– Blind navigation agents
– Mathematical capabilities of ChatGPT
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The Impossibility of Parallelizing Boosting
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The Impossibility of Parallelizing Boosting – investigates the possibility of parallelizing boosting. 11 of 11
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ProGen: LLM Generates Protein Sequences with Predictable Function
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ProGen – an LLM that can generate protein sequences with a predictable function across large protein families. 10 of 11
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StyleGAN-T: New Model Enhances GAN Competitiveness for Text-to-Image
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StyleGAN-T – a new model that aims to regain the competitiveness of GANs for fast large-scale text-to-image synthesis.
— DAIR.AI (@dair_ai) 29 janvier 2023
9 of 11https://t.co/leKD2VEcmvStyleGAN-T – a new model that aims to regain the competitiveness of GANs for fast large-scale text-to-image synthesis. 9 of 11
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DetectGPT: Zero-Shot Machine-Generated Text Detection Method
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DetectGPT – an approach for zero-shot machine-generated text detection. Uses raw log probabilities from the LLM to determine if the passage was sampled from it. 8 of 11
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Open Problems in Applied Deep Learning Reference
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Open Problems in Applied Deep Learning – a new reference to learn about interesting open problems in deep learning. 7 of 11