arXiv:2606.04812v2 Announce Type: replace-cross Abstract: Guaranteeing safety is critical to the deployment of reinforcement learning (RL) agents in the real-world,…
arXiv:2606.05654v2 Announce Type: replace-cross Abstract: Hate moderation is often evaluated as classification on clean English inputs, but deployed systems must…
arXiv:2606.05855v1 Announce Type: cross Abstract: Continuous electroencephalography (EEG) emotion prediction aims to model the temporal evolution of human emotional states…
arXiv:2606.05861v1 Announce Type: cross Abstract: The rapid development of large language models(LLMs) has led to remarkable advances in natural language…
arXiv:2606.04708v2 Announce Type: replace-cross Abstract: Universal Manipulation Interface (UMI) enables scalable real-world robot data collection without hardware-specific teleoperation, yet leveraging…
arXiv:2606.04560v2 Announce Type: replace-cross Abstract: Reinforcement learning from verifiable rewards with GRPO is a standard approach for post-training reasoning LLMs.…
arXiv:2606.05256v1 Announce Type: new Abstract: This study analyzes a publicly released dataset from a discontinued field experiment on Reddit’s r/ChangeMyView.…
arXiv:2606.04037v2 Announce Type: new Abstract: Pre-deployment verification of enterprise artificial intelligence (AI) agents remains a critical gap between large language…
arXiv:2606.04990v1 Announce Type: cross Abstract: Large language model (LLM)-based agents increasingly solve complex tasks by interacting with external tools, retrieval…
