Lost in the Middle: How Language Models Use Long Contexts paper page: https://
huggingface.co/papers/2307.03
172
… While recent language models have the ability to take long contexts as input, relatively little is known about how well the language models use longer context. We analyze language
RESEARCH
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Language Models Using Long Contexts: Analysis and Findings
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Whisper-AT: Noise-Robust Speech Recognition and Audio Event Tagging
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Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong General Audio Event Taggers paper page: https://
huggingface.co/papers/2307.03
183
… In this paper, we focus on Whisper, a recent automatic speech recognition model trained with a massive 680k hour labeled speech corpus recorded -

VideoGLUE: Evaluating Foundation Models Video Understanding Capabilities
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GLUE: General Understanding Evaluation of Foundation Models paper page: https://
huggingface.co/papers/2307.03
166
… We evaluate existing foundation models video understanding capabilities using a carefully designed experiment protocol consisting of three hallmark tasks (action -

Focused Transformer: Contrastive Training for Context Scaling
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Focused Transformer: Contrastive Training for Context Scaling paper page: https://
huggingface.co/papers/2307.03
170
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model: https://
huggingface.co/syzymon/long_l
lama_3b
… Large language models have an exceptional capability to incorporate new information in a contextual manner. However, the full potential of such an -

Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts
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Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts paper page: https://
huggingface.co/papers/2307.02
768
… Many cognitive approaches to well-being, such as recognizing and reframing unhelpful thoughts, have received considerable empirical support over the past decades, yet -

SkipDecode: Efficient LLM Inference with Autoregressive Skip Decoding
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SkipDecode: Autoregressive Skip Decoding with Batching and Caching for Efficient LLM Inference paper page: https://
huggingface.co/papers/2307.02
628
… Autoregressive large language models (LLMs) have made remarkable progress in various natural language generation tasks. However, they incur high -

mPLUG-DocOwl: Multimodal LLM for Document Understanding
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mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding paper page: https://
huggingface.co/papers/2307.02
499
… Document understanding refers to automatically extract, analyze and comprehend information from various types of digital documents, such as a web page. -

UN University Explores AI Governance and SDG Impact
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Had an energising time at the United Nations University @UNUniversity HQ in Tokyo , meeting the community invested in the future of AI, and talking through topics on SDG attainment, AI, governance, risks, opportunities and more. Thanks to Sabine, Nicholas, Tshilidzi
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Changelog: Updates for AI and Machine Learning
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Changelog
https://bit.ly/448H1YJ #AI #MachineLearning #DeepLearning #LLMs #DataScience
