A geometric foundation model for enzyme retrieval with evolutionary insights
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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…
InftyThink+: Effective and Efficient Infinite-Horizon Reasoning via Reinforcement Learning
arXiv:2602.06960v2 Announce Type: replace-cross Abstract: Large reasoning models achieve strong performance by scaling inference-time chain-of-thought, but this paradigm suffers from…
When Do Multi-Agent Systems Outperform? Analysing the Learning Efficiency of Agentic Systems
arXiv:2602.08272v1 Announce Type: cross Abstract: Reinforcement Learning (RL) has emerged as a crucial method for training or fine-tuning large language…
CoRect: Context-Aware Logit Contrast for Hidden State Rectification to Resolve Knowledge Conflicts
arXiv:2602.08221v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) often struggles with knowledge conflicts, where model-internal parametric knowledge overrides retrieved evidence,…
Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data
arXiv:2602.07081v1 Announce Type: cross Abstract: This paper introduces a generalized federated prompt-tuning framework for practical scenarios where local datasets are…