7/ Understanding Theory-of-Mind in LLMs with LLMs – a framework for procedurally generating evaluations with LLMs; proposes a benchmark to study the social reasoning capabilities of LLMs with LLMs.
@dair_ai
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DragDiffusion: Precise Spatial Control in Diffusion-Based Image Editing
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6/ DragDiffusion – extends interactive point-based image editing using diffusion models; it optimizes the diffusion latent to achieve precise spatial control and complete high-quality editing efficiently.
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Visual Navigation Transformer: Pretrained Model for Robotic Navigation
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4/ Visual Navigation Transformer – a foundational model that leverages the power of pretrained models to vision-based robotic navigation; built on a flexible Transformer-based architecture that can tackle various navigational tasks.
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Computer Vision Through Natural Language: LLM-Based Modular Approach
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3/ Computer Vision Through the Lens of Natural Language – a modular approach for solving computer vision problems by leveraging LLMs; the LLM is used to reason over outputs from independent and descriptive modules that provide information about an image.
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Extending LLM Context Windows to 32K with Minimal Fine-tuning
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2/ Extending Context Window of LLMs – extends the context window of LLMs like LLaMA to up to 32K with minimal fine-tuning (within 1000 steps); attains good performance on several tasks while being more efficient and cost-effective.
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LeanDojo: Open-Source Toolkit for AI Theorem Proving
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1/ LeanDojo – an open-source Lean playground consisting of toolkits, data, models, and benchmarks for theorem proving; also develops ReProver, a retrieval augmented LLM-based prover for theorem solving using premises from a vast math library.
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Top Machine Learning Papers: LeanDojo, DragDiffusion, LLM Context
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Top ML Papers of the Week (June 26 – July 2): – LeanDojo
– DragDiffusion
– Scaling MLPs
– Visual Navigation Transformer
– GPT-4 for Programming Education
– Extending Context Window of LLMs
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Wanda: Efficient LLM Pruning Without Retraining
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9/ Wanda – introduces a simple and effective pruning approach for LLMs; the approach requires no retraining or weight update and outperforms baselines of magnitude pruning.
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AudioPaLM Multimodal LM Enables Zero-Shot Speech Translation
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10/ AudioPaLM – fuses text-based & speech-based LMs, PaLM-2 and AudioLM, into a multimodal architecture; outperforms existing systems for speech translation tasks and has zero-shot speech-to-text translation capabilities.