Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs
arXiv:2511.20892v4 Announce Type: replace Abstract: Large language models (LLMs) often produce incorrect or outdated content after being employed. Efficient and…
UniDrive: A Unified Vision-Language and Grounding Framework for Interpretable Risk Understanding in Autonomous Driving
arXiv:2606.24759v1 Announce Type: cross Abstract: Recent multimodal large language models (MLLMs) have shown strong potential for autonomous driving scene understanding,…
AutoSpec: Safety Rule Evolution for LLM Agents via Inductive Logic Programming
arXiv:2606.24245v2 Announce Type: cross Abstract: Large language model (LLM) agents increasingly automate complex tasks by integrating language models with external…
Data-driven surrogates of rational design enable antimicrobial peptide optimization
Nature Machine Intelligence, Published online: 25 June 2026; doi:10.1038/s42256-026-01258-0 Rising pathogen drug resistance makes next-generation antimicrobial peptides a global priority.…
RIFT-Bench: Dynamic Red-teaming For Agentic AI Systems
arXiv:2606.23927v1 Announce Type: new Abstract: Agentic AI systems powered by large language models (LLMs) are rapidly evolving into autonomous decision-making…
Polycepta: Object-Centric Appearance Estimation for Multi-Object Tracking
arXiv:2606.23604v2 Announce Type: replace-cross Abstract: The tracking-by-detection paradigm in multi-object tracking (MOT) typically relies on static appearance descriptors to complement…
Inclusive Interactive Collisions for Multi-View Consistent Compositional 3D Generation
arXiv:2606.24206v1 Announce Type: cross Abstract: Recent breakthroughs in 3D generation have advanced notably with the development of text-to-image diffusion model.…
On the Position Bias of On-Policy Distillation
arXiv:2606.22600v2 Announce Type: replace-cross Abstract: On-Policy Distillation (OPD) improves the learning efficiency of standard reinforcement learning through dense, token-level supervision…