A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Xiaomin Li, Zhou Yu, Zhiwei Zhang, et al.
This paper reveals that chain-of-thought reasoning can significantly degrade instruction-following accuracy in LLMs, and proposes selective reasoning strategies to mitigate the issue.
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Presents a detailed recipe for online iterative RLHF using fully open-source datasets, achieving state-of-the-art performance on conversation and instruction-following benchmarks.
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A human-curated instruction-following dataset spanning 65 languages to bridge the language gap in NLP.
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Pixtral introduces a 12B parameter natively multimodal vision-language model with a novel vision encoder and strong instruction-following, plus a 124B variant.
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LLaVA connects CLIP and Vicuna via end-to-end training on GPT-4-generated instruction-following data from image-text pairs.
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Alpaca fine-tunes LLaMA 7B on instruction-following demonstrations generated via self-instruct from text-davinci-003.
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Self-Instruct bootstraps instruction-following in language models using their own generations, reducing annotation needs.