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We prove inference-time quantum coordination advantages for specified AI state-tracking tasks. A solver compresses se...
Self-evolving agents accumulate reusable skills by appending successful procedures and failure fixes. Over time, the ...
Rail transit systems play a vital role in urban mobility and economic development. As key components of such systems,...
Agentic coding READMEs like CLAUDE.md grow without bound in real repositories, stopping only when the repository reti...
Probabilistic forecasting plays an essential role in risk-sensitive decision-making, particularly in long-horizon set...
Logic Tensor Networks (LTN) provide a neurosymbolic framework in which first-order logic is interpreted through tenso...
We propose that a model's uncertainty about a token is reflected not only in the breadth of its output distribution b...
The Workshop on Trustworthy Natural Language Processing (TrustNLP), co-located with major ACL conferences since 2021,...
When a probabilistic predictor answers many conditional-probability queries, are its answers self-consistent, and can...
GUI Visual Grounding is a fundamental capability for GUI agents. Existing models typically freeze their parameters af...
AI agents are increasingly used in mathematics research, but it is often unclear how to use them effectively. Towards...
Synthetic dialogue generation offers a way to study conversational dynamics in sensitive domains where real data are ...