CyberWorld: World Models for Sample-Efficient Autonomous Cyber Defense
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AuthorityLens: Rethinking LLM-Based Agent Systems Through the Lens of Authority
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Deep Reinforcement Learning for Equity Trading: Benchmarking Actor-Critic Methods with Forward Retraining
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DOHF: Online Diffusion Fine-tuning with Doob's $h$-transform Guidance
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Agentsensus: Consensus-Compressed Shared Memory for Multi-Agent Story Worlds
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TemporalGraphLLM: Temporal Graph Neural Networks with Large Language Models for Dynamic Text-Attributed Graphs
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Rethinking Training-Inference Mismatch in LLM Reinforcement Learning: Where It Arises and How to Correct It
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Large Language Models Substantially Compress Well-Being Inequality but Largely Preserve Its Socioeconomic Structure
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QureRadEmbed: Structuring Radiological Similarity through Attribute and Reasoning Supervision
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Learning to Learn from Context: Synthetic Training from Perturbed Public Documents
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Compositional Objectives: Learning Structure in Structure
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Program-Verified Self-Evolution for Vision-Language Models
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