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…
arXiv:2605.00382v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are increasingly deployed to generate code for human-centered applications where demographic…
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…
arXiv:2509.24276v4 Announce Type: replace Abstract: Large language models (LLMs) excel at complex reasoning but remain limited by static and incomplete…
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…
arXiv:2507.01955v3 Announce Type: replace-cross Abstract: Multimodal foundation models (MFMs), such as GPT-4o, have recently made remarkable progress. However, their detailed…
arXiv:2510.15949v4 Announce Type: replace-cross Abstract: Large language models show promise for financial decision-making, yet deploying them as autonomous trading agents…
arXiv:2505.22003v2 Announce Type: replace-cross Abstract: In India, access to legal assistance for the general public has been observed to have…
arXiv:2605.00060v1 Announce Type: new Abstract: We present TADI (Tool-Augmented Drilling Intelligence), an agentic AI system that transforms drilling operational data…
arXiv:2604.28139v2 Announce Type: replace-cross Abstract: LLM agents are expected to complete end-to-end units of work across software tools, business services,…
arXiv:2605.00654v1 Announce Type: cross Abstract: For a risk-averse finite-horizon Markov Decision Problem, we introduce a special class of Markov coherent…