#markov-chains News & Analysis

3 articles tagged with #markov-chains. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AINeutralarXiv – CS AI · Mar 57/10

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Old Habits Die Hard: How Conversational History Geometrically Traps LLMs

Researchers introduce History-Echoes, a framework revealing how large language models become trapped by their conversational history, with past interactions creating geometric constraints in latent space that bias future responses. The study demonstrates that behavioral persistence in LLMs manifests as mathematical traps where previous hallucinations and responses influence subsequent model behavior across multiple model families and datasets.

AIBullisharXiv – CS AI · Feb 277/103

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Controlling Exploration-Exploitation in GFlowNets via Markov Chain Perspectives

Researchers introduce α-GFNs, an enhanced version of Generative Flow Networks that allows tunable control over exploration-exploitation dynamics through a parameter α. The method achieves up to 10× improvement in mode discovery across various benchmarks by addressing constraints in traditional GFlowNet objectives through Markov chain theory.

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AINeutralarXiv – CS AI · Mar 34/103

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Phase-Type Variational Autoencoders for Heavy-Tailed Data

Researchers propose Phase-Type Variational Autoencoders (PH-VAE), a new deep learning model that uses Phase-Type distributions to better capture heavy-tailed data patterns where extreme events are critical. The approach outperforms standard VAE models with Gaussian decoders in modeling tail behavior and extreme quantiles, marking the first integration of Phase-Type distributions into deep generative modeling.