Infusion: Shaping Model Behavior by Editing Training Data via Influence Functions
arXiv:2602.09987v2 Announce Type: replace-cross Abstract: Influence functions are commonly used to attribute model behavior to training documents. We explore the…
Predicting phage–host specificity
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Reusability Report: Evaluating the performance of a meta-learning foundation model on predicting the antibacterial activity of natural products
Nature Machine Intelligence, Published online: 12 February 2026; doi:10.1038/s42256-026-01187-y This Reusability Report tests the ability of a foundation model, ActFound,…
LLM-FSM: Scaling Large Language Models for Finite-State Reasoning in RTL Code Generation
arXiv:2602.07032v1 Announce Type: new Abstract: Finite-state reasoning, the ability to understand and implement state-dependent behavior, is central to hardware design.…
Inverting Data Transformations via Diffusion Sampling
arXiv:2602.08267v1 Announce Type: cross Abstract: We study the problem of transformation inversion on general Lie groups: a datum is transformed…
Generating Adversarial Events: A Motion-Aware Point Cloud Framework
arXiv:2602.08230v1 Announce Type: cross Abstract: Event cameras have been widely adopted in safety-critical domains such as autonomous driving, robotics, and…
MosaicThinker: On-Device Visual Spatial Reasoning for Embodied AI via Iterative Construction of Space Representation
arXiv:2602.07082v1 Announce Type: cross Abstract: When embodied AI is expanding from traditional object detection and recognition to more advanced tasks…
Temperature Scaling Attack Disrupting Model Confidence in Federated Learning
arXiv:2602.06638v2 Announce Type: replace-cross Abstract: Predictive confidence serves as a foundational control signal in mission-critical systems, directly governing risk-aware logic…