Recent work in additive manufacturing and neural inverse design enables the creation of complex three-dimensional structures to manipulate physical fields, yet these designs must also adhere to discrete, non-differentiable fabrication constraints. Current methods limit the design space by imposing differentiable soft m...
Shanmuka Sadhu, Harshvardhan C. Takawale, Yehia Zakaria et al.· 0 citations
Activation probes are computed directions in a language model's residual stream, used both to detect safety-relevant behaviours and, by adding their direction back into the stream, to steer them, which power an interactive interface through which a user can score and steer text directly.
Generator-Agent-Verifier (GAV), a scientific experimentation environment that makes new PDE problems verifiable by construction verifiable by construction, is introduced and a theoretical analysis of evaluation reliability and guided development is provided.
This work advances Markov chain Monte Carlo algorithms by introducing novel moves that simultaneously resample the parents for multiple nodes of the DAG by introducing duet sampling, a new generalization of the Metropolis-Hastings algorithm.
Daniele Nikzad, Mikko Koivisto· 0 citations
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SWE-Verifier is introduced, a lightweight generative model that selectively triggers candidate sampling and verification that achieves comparable or higher resolution than the trajectory and all-step baselines at substantially lower cost.
Kai-Jian Zou, V. Chennareddy, Yun-Xiang Zhang et al.· 0 citations
This work proposes minimal-edit corrective on-policy distillation, a method that preserves on-policy supervision while avoiding full-response imitation, and improves perception-oriented performance, particularly low-level geometric perception, and transfers to external mathematics and perception benchmarks.
Wen Ye, Ai-Lin Deng, Zi-Rui Wang et al.· 0 citations
A lightweight screening tool that uses four small models to identify patients with high risk of exposure before production-model training and assess if flagged patients could be protected without removing their data is developed.
Konstantinos Vrettos, E. Tzanis, H. Kondylakis et al.· 0 citations
Study of 2PL, GPCM, and NRM decoders paired with LSTM, Transformer, and DKVMN encoders shows why item parameters, especially discrimination and option slopes, must be evaluated separately from response prediction.
Wen-Rui Yuan, S. M. van den Berg, J. Steinrücke· 0 citations
This work proposes MoEZip, a routing-aware KV cache compression for sparse MoE language models, and proposes a novel metric based on the Fisher information matrix of routing distributions that combines attention weights for routing-aware scoring of contexts.
Artificial intelligence (AI) is reshaping Human Resource Management (HRM) by transforming how organizations acquire, develop, deploy, evaluate, and retain human capital while expanding HR’s strategic role in decision-making and value creation. Despite growing scholarly attention, AI-driven HRM research remains fragment...
A. Gomaa· Journal of Emerging Business...· 0 citations
It is argued that AI should remain an auxiliary tool, while final forensic conclusions and procedural decisions must be made by competent human professionals in accordance with the law.
A. Lazebnyi, B. Krymchanin· Metaverse Science, Society a...· 0 citations
