Policy-Based Trajectory Clustering in Offline Reinforcement Learning
arXiv:2506.09202v2 Announce Type: replace-cross Abstract: We introduce a novel task of clustering trajectories from offline reinforcement learning (RL) datasets, where…
TIP-Search: Time-Predictable Inference Scheduling for Market Prediction under Uncertain Load
arXiv:2506.08026v1 Announce Type: new Abstract: This paper proposes TIP-Search, a time-predictable inference scheduling framework for real-time market prediction under uncertain…
Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction
arXiv:2506.07976v2 Announce Type: replace-cross Abstract: The current paradigm of test-time scaling relies on generating long reasoning traces (“thinking” more) before…
The impact of fine tuning in LLaMA on hallucinations for named entity extraction in legal documentation
arXiv:2506.08827v1 Announce Type: cross Abstract: The extraction of information about traffic accidents from legal documents is crucial for quantifying insurance…
FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency
arXiv:2506.08822v1 Announce Type: cross Abstract: Generative modeling-based visuomotor policies have been widely adopted in robotic manipulation attributed to their ability…
MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization
arXiv:2506.07563v2 Announce Type: replace-cross Abstract: Personalized recommendation systems must adapt to user interactions across different domains. Traditional approaches like MLoRA…