Preconditioned inexact stochastic ADMM for deep models
Nature Machine Intelligence, Published online: 20 February 2026; doi:10.1038/s42256-026-01182-3 Zhou et al. develop PISA, an optimizer for deep learning models…
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…
IndicEval: A Bilingual Indian Educational Evaluation Framework for Large Language Models
arXiv:2602.16467v1 Announce Type: cross Abstract: The rapid advancement of large language models (LLMs) necessitates evaluation frameworks that reflect real-world academic…
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…
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…
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…
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…