arXiv Artificial IntelligenceBIRDNet: Mining and Encoding Boolean Implication Knowledge Graphs as Interpretable Deep Neural Networks
arXiv:2605.28739v2 Announce Type: replace-cross Abstract: Tabular data in knowledge-rich domains often…
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arXiv Artificial IntelligencearXiv Artificial IntelligenceHow Should LLMs Consume High-Quality Data? Optimal Data Scheduling via Quality-Aware Functional Scaling Laws
arXiv:2605.25698v2 Announce Type: replace-cross Abstract: High-quality data is scarce in large language model…
arXiv Artificial IntelligenceEdge-AI-Driven Learning-to-Rank for Decentralized Task Allocation in Circular Smart Manufacturing
arXiv:2605.16433v2 Announce Type: replace-cross Abstract: Task allocation in smart manufacturing systems must…
arXiv Artificial IntelligenceRevisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective
arXiv:2605.12969v4 Announce Type: replace-cross Abstract: Group Relative Policy Optimization (GRPO) is one of…
arXiv Artificial IntelligenceDeepRefine: Agentic Knowledge Refinement via Reinforcement Learning
arXiv:2605.10488v2 Announce Type: replace-cross Abstract: External knowledge enables large language model…
arXiv Artificial IntelligenceDPRM: A Plug-in Doob h transform-induced Token-Ordering Module for Discrete Diffusion Models
arXiv:2604.24357v3 Announce Type: replace-cross Abstract: Discrete diffusion models admit many token orders…
arXiv Artificial IntelligenceONOTE: Hypergraph-Grounded Omnimodal Reasoning for Computational Music Science
arXiv:2604.20719v2 Announce Type: replace-cross Abstract: Omnimodal notation processing, centered on sheet…
arXiv Artificial IntelligenceDialToM: A Theory of Mind Benchmark for Forecasting State-Driven Dialogue Trajectories
arXiv:2604.20443v3 Announce Type: replace-cross Abstract: We introduce DialToM, an annotated Theory of Mind…
arXiv Artificial IntelligenceAlignment midtraining for animals
arXiv:2604.13076v4 Announce Type: replace-cross Abstract: We investigate the robustness of value alignment…
arXiv Artificial IntelligenceCONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation
arXiv:2604.09746v2 Announce Type: replace-cross Abstract: As large language models (LLMs) are increasingly…
arXiv Artificial IntelligenceLarge Language Models Generate Harmful Responses Using a Distinct Mechanism, Shared Across Harm Types
arXiv:2604.09544v3 Announce Type: replace-cross Abstract: Large language models remain vulnerable to…
arXiv Artificial IntelligenceBeyond RGB: Benchmarking and Enhancing MLLMs for Hyperspectral Image Understanding via Training-Free Reasoning Framework
arXiv:2604.08884v2 Announce Type: replace-cross Abstract: Multimodal Large Language Models (MLLMs) have…
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