AI is threatening science jobs. Which ones are most at risk?
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SecCodeBench-V2 Technical Report
arXiv:2602.15485v2 Announce Type: replace-cross Abstract: We introduce SecCodeBench-V2, a publicly released benchmark for evaluating Large Language Model (LLM) copilots’ capabilities…
Prompt When the Animal is: Temporal Animal Behavior Grounding with Positional Recovery Training
arXiv:2405.05523v2 Announce Type: replace-cross Abstract: Temporal grounding is crucial in multimodal learning, but it poses challenges when applied to animal…
PolicyPad: Collaborative Prototyping of LLM Policies
arXiv:2509.19680v2 Announce Type: replace-cross Abstract: As LLMs gain adoption in high-stakes domains like mental health, domain experts are increasingly consulted…
A Survey: Spatiotemporal Consistency in Video Generation
arXiv:2502.17863v2 Announce Type: replace-cross Abstract: Video generation aims to produce temporally coherent sequences of visual frames, representing a pivotal advancement…
CARL: Camera-Agnostic Representation Learning for Spectral Image Analysis
arXiv:2504.19223v4 Announce Type: replace-cross Abstract: Spectral imaging offers promising applications across diverse domains, including medicine and urban scene understanding, and…
Towards Efficient Constraint Handling in Neural Solvers for Routing Problems
arXiv:2602.16012v1 Announce Type: new Abstract: Neural solvers have achieved impressive progress in addressing simple routing problems, particularly excelling in computational…
A Content-Based Framework for Cybersecurity Refusal Decisions in Large Language Models
arXiv:2602.15689v2 Announce Type: replace-cross Abstract: Large language models and LLM-based agents are increasingly used for cybersecurity tasks that are inherently…
Team of Thoughts: Efficient Test-time Scaling of Agentic Systems through Orchestrated Tool Calling
arXiv:2602.16485v1 Announce Type: cross Abstract: Existing Multi-Agent Systems (MAS) typically rely on static, homogeneous model configurations, limiting their ability to…