LLMCodec: Adapting Video Codecs for Efficient Weight Compression of Large Language Models
arXiv:2606.05861v1 Announce Type: cross Abstract: The rapid development of large language models(LLMs) has led to remarkable advances in natural language…
Toward Pre-Deployment Assurance for Enterprise AI Agents: Ontology-Grounded Simulation and Trust Certification
arXiv:2606.04037v2 Announce Type: new Abstract: Pre-deployment verification of enterprise artificial intelligence (AI) agents remains a critical gap between large language…
Consistency Training Can Entrench Misalignment
arXiv:2606.03810v2 Announce Type: replace-cross Abstract: Consistency training encourages a model to produce similar outputs across related inputs or sampling procedures.…
From Agent Traces to Trust: Evidence Tracing and Execution Provenance in LLM Agents
arXiv:2606.04990v1 Announce Type: cross Abstract: Large language model (LLM)-based agents increasingly solve complex tasks by interacting with external tools, retrieval…
SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language Models
arXiv:2606.05004v1 Announce Type: cross Abstract: With the widespread deployment of public large language models (LLMs) such as ChatGPT, protecting user…
q0: Primitives for Hyper-Epoch Pretraining
arXiv:2606.03938v2 Announce Type: replace-cross Abstract: Multi-epoch training is becoming the standard now that compute is growing faster than the supply…
Explicit dynamic cross-strand interactions for DNA sequence language modelling
Nature Machine Intelligence, Published online: 04 June 2026; doi:10.1038/s42256-026-01249-1 Yang et al. developed CrossDNA, a parameter-efficient language model for cross-strand…