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Institute of Computer Science, Warsaw University of Technology
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A long-running assistant cannot keep everything it has seen, so it summarises. Summarising is not neutral: what is kept is chosen against some notion of what the record is for, and that choice is made once, before anyone knows which of the user's standing goals will ask. Goals rarely disagree about what happened. They...
It is argued that current safety fine-tuning constraints the strategic action space of these LLMs, making them unable to fully engage in naturalistic interactions within domains where character contestation is a normative expectation rather than a mere fallacy.
Volatility forecasts play a central role in financial risk management because their overall level and day-to-day movements affect downstream decisions. Most studies compare forecasting models while keeping the training loss fixed. Yet losses emphasise different errors and can target different properties of future volat...
A polynomial-time decision procedure is presented for can one value assignment with per-context orderings reproduce the defeat function, collapsing the CDAF into a VAF?
This work contributes a framework for leakage-aware Ethereum actor classification and a Transaction Grammar representation of wallet behavior, and demonstrates that, under leakage-aware evaluation, XGBoost outperforms Transformer-based sequence models while providing lower latency and estimated energy use.
The method is positioned as a training-free local discovery primitive for open-world blockchain audits, rather than as a formal open-set recognition system, and contributes a leakage-aware behavioral framework for Sybil candidate discovery.
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