A solver-informed diagnosis mechanism that exploits fine-grained solver statistics as verbal gradients for targeted refinement and a structured memory abstracts prior experience into reusable modeling strategies, avoiding redundant exploration while enabling zero-shot transfer to unseen problems and bootstrapping small...
Haofeng Yuan, Jianing Peng, Jieyi Bi et al.· 0 citations
A reproducible, license-aware knowledge-distillation recipe addressing the constraint of deploying a safety layer for large language models on commodity hardware by partitioning the corpus into seven safety categories aligned to a public hazard taxonomy.
Edson Rodrigues da Cruz, Paulo Ricardo Ferreira Neves, P. H. Falsetti et al.· 0 citations
Website redundancy does not have a single fixed meaning. The same repeated element may distract during one task and provide backup during another. We introduce CORA (Counterfactual, Observable Redundancy Audit), which measures repetition load, normal-use tax, and failure-domain recovery reserve separately. Each run ret...
KFS-RAG is proposed, a defense that mitigates information leakage by reformulating the retrieved context by identifying a small set of influential keywords from the retrieved context via an attention rollout plus a causal perturbation mechanism.
Ziliang Zhang, Yu-Bo Zhu, Wei Tong et al.· 0 citations
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A unified framework is introduced that distills intermediate representations that explicitly encode the physical modeling process and adopt a two-stage post-training strategy, where supervised fine-tuning establishes structured modeling, and reinforcement learning with rubric-based feedback improves the quality of the...
Ye Zhang, Xue-Hang Guo, Rui Pan et al.· 1 citation
PUMA (Polish Unified Multimodal Assessment) is proposed, a novel benchmark of 900 hand-crafted tasks designed to probe the limits of multimodal models in the Polish cultural and linguistic context and open-source the evaluation framework to advance localized multimodal AI research.
Slawomir Dadas, Michał Perełkiewicz, Rafal Poswiata et al.· 0 citations
This work sweeps a 64-shape matrix of LLM primitives that varies how a computation is expressed while holding what it computes fixed, recording per-operation device support and finds that placement is a property of how a computation is expressed, not of what it computes.
This work presents the most comprehensive evaluation of LLM safety capabilities to date, systematically testing models across datasets that are organized into four distinct categories, and uncovers critical blind spots.
Adaptive Multilevel Twisted SMC is proposed, which learns the rare-event twist through a sequence of progressively rarer intermediate events, ultimately leading to a more accurate final twist for the target rare event.
Zixuan Liu, Fangzheng Wu, Brian Summa et al.· 0 citations
The Domain-Oriented Tooling Pattern is proposed: instead of generating SQL at query time, the model selects from a small set of domain-aligned tools whose parameterized queries encapsulate schema navigation, joins and business rules on the server side.
We investigate analytically and numerically a one-dimensional periodically driven free-fermionic system subjected to monitoring of the local particle density. Based on the analytical approach that describes the long-wavelength physics of the time-dependent Hamiltonian in the field-theoretical language using the nonline...
Aditi Chakrabarty, A. Mirlin, I. Poboiko· 1 citation
A detailed overview of the security risks associated with adversarial attacks is offered, including evasion attacks carried out at inference time, data poisoning that corrupts the training process, backdoor insertion that hides dormant triggers inside a model, and model inversion that leaks private information back out...
Harsh Verma· International Journal of Sci...· 1 citation
