Boundary Mass and the Soft-to-Hard Limit in Mixture-of-Experts
arXiv:2605.02124v1 Announce Type: cross Abstract: Softmax-routed mixture-of-experts models approach hard routing as the temperature tends to zero, but this limit…
VeRO: An Evaluation Harness for Agents to Optimize Agents
arXiv:2602.22480v2 Announce Type: replace Abstract: An important emerging application of coding agents is agent optimization: the iterative improvement of a…
IConFace: Identity-Structure Asymmetric Conditioning for Unified Reference-Aware Face Restoration
arXiv:2605.02814v1 Announce Type: cross Abstract: Blind face restoration is highly ill-posed under severe degradation, where identity-critical details may be missing…
Unsupervised Learning of Robust Spectral Shape Matching
arXiv:2304.14419v2 Announce Type: replace-cross Abstract: We propose a novel learning-based approach for robust 3D shape matching. Our method builds upon…
2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing
arXiv:2605.00839v1 Announce Type: new Abstract: The evolution of artificial intelligence (AI) and machine learning (ML) is reshaping smart manufacturing by…
Silicon Showdown: Performance, Efficiency, and Ecosystem Barriers in Consumer-Grade LLM Inference
arXiv:2605.00519v2 Announce Type: replace-cross Abstract: The operational landscape of local Large Language Model (LLM) inference has shifted from lightweight models…
Conventional Commit Classification using Large Language Models and Prompt Engineering
arXiv:2605.02033v1 Announce Type: cross Abstract: Conventional commits provide a structured format for writing commit messages, which improves readability, software maintenance,…
Enhancing Judgment Document Generation via Agentic Legal Information Collection and Rubric-Guided Optimization
arXiv:2605.02011v1 Announce Type: cross Abstract: Automating the drafting of judgment documents is pivotal to judicial efficiency, yet it remains challenging…
Social Bias in LLM-Generated Code: Benchmark and Mitigation
arXiv:2605.00382v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are increasingly deployed to generate code for human-centered applications where demographic…
Reusability report: Meta-learning for antigen-specific T cell receptor binder identification
Nature Machine Intelligence, Published online: 06 May 2026; doi:10.1038/s42256-026-01236-6 He et al. comprehensively test the reusability of PanPep, a meta-learning…
