A Blind Spot in Alignment: Quantifying Biosecurity Risks in Large Language Models
arXiv:2608.02684v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are accelerating biological research, yet this same capability poses a critical…
by ODEFTO AI Labs
arXiv:2608.02684v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are accelerating biological research, yet this same capability poses a critical…
arXiv:2608.02604v1 Announce Type: new Abstract: LLM-based agents are increasingly being deployed for data-related tasks, including data sense-making, exploration, and retrieval.…
arXiv:2608.02150v2 Announce Type: replace-cross Abstract: Embodied intelligence and world models require video understanding systems to go beyond recognizing objects and…
arXiv:2608.03096v1 Announce Type: cross Abstract: Recent advances in video generation models have significantly intensified the deepfake threat, yet the current…
arXiv:2608.03092v1 Announce Type: cross Abstract: We aim to improve model performance in multi-reward reinforcement learning training process. Existing Group reward-Decoupled…
arXiv:2608.01804v2 Announce Type: replace-cross Abstract: Post-training large language models (LLMs) via reinforcement learning (RL) has significantly advanced code generation capabilities.…
Nature Machine Intelligence, Published online: 05 August 2026; doi:10.1038/s42256-026-01275-z A new deep learning method enables molecular dynamics simulations over longer…