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…
G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge
arXiv:2509.24276v4 Announce Type: replace Abstract: Large language models (LLMs) excel at complex reasoning but remain limited by static and incomplete…
PORTool: Importance-Aware Policy Optimization with Rewarded Tree for Multi-Tool-Integrated Reasoning
arXiv:2510.26020v2 Announce Type: replace-cross Abstract: Multi-tool-integrated reasoning enables LLM-empowered tool-use agents to solve complex tasks by interleaving natural-language reasoning with…
How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks
arXiv:2507.01955v3 Announce Type: replace-cross Abstract: Multimodal foundation models (MFMs), such as GPT-4o, have recently made remarkable progress. However, their detailed…
ATLAS: Adaptive Trading with LLM AgentS Through Dynamic Prompt Optimization and Multi-Agent Coordination
arXiv:2510.15949v4 Announce Type: replace-cross Abstract: Large language models show promise for financial decision-making, yet deploying them as autonomous trading agents…

