MoEITS is an information-theoretic algorithm for pruning experts in MoE-LLMs that produces models with higher accuracy and greater size reduction than prior state-of-the-art methods on Mixtral 8x7B, Qwen1.5-2.7B, and DeepSeek-V2-Lite.
Emotion detection for misinformation: A review.Information Fusion, 107:102300
2 Pith papers cite this work. Polarity classification is still indexing.
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Large-scale analysis of COVID retweets finds factual content linked to rapid follower gains during major events while misleading content shows steadier growth otherwise, with two network models reproducing the patterns.
citing papers explorer
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MoEITS: A Green AI approach for simplifying MoE-LLMs
MoEITS is an information-theoretic algorithm for pruning experts in MoE-LLMs that produces models with higher accuracy and greater size reduction than prior state-of-the-art methods on Mixtral 8x7B, Qwen1.5-2.7B, and DeepSeek-V2-Lite.
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Measuring the co-evolution of online engagement with (mis)information and its visibility at scale
Large-scale analysis of COVID retweets finds factual content linked to rapid follower gains during major events while misleading content shows steadier growth otherwise, with two network models reproducing the patterns.