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arXiv cs.AI Research & Papers
KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval
arXiv cs.AI Research & Papers
Wnuan: Staged Post-Training for Question Answering over Proprietary Enterprise Knowledge
arXiv cs.AI Research & Papers
Measurement Without Validity: The Compounding Reliability Problem in Agentic AI Evaluation
arXiv cs.AI Research & Papers
Multi-Dimensional Assessment for AI Cognition (MAAC): A Theoretical Framework for Process…
arXiv cs.AI Research & Papers
LongCat Sparse Attention: Taming the Lightning via Streaming-aware Hierarchical Cross-Lay…
arXiv cs.AI Research & Papers
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions
arXiv cs.AI Research & Papers
Linguistic Context Recodes Visual Representations in Vision-Language Models
arXiv cs.AI Security & Safety
Securing Agentic AI: From Per-Action Checks to Trajectory Assurance
arXiv cs.AI Research & Papers
ProWorld: Progress-Aware Hyperbolic World Models for Long-Horizon Visual Goal Reaching
arXiv cs.AI Research & Papers
Beyond the Mean: Multi-Moment Policy Optimization for LLM Reasoning
arXiv cs.AI Research & Papers
Faster-WAM: Do World Action Models Need Deep Action Modules?
arXiv cs.AI Research & Papers
Motif-Mamba: network motif improved mamba for long-range sequence modeling
arXiv cs.AI Research & Papers
Toward Fine-Grained Forgetting:Attribute Unlearning for Multimodal Large Language Models
arXiv cs.AI Research & Papers
Does the Competitive Component of Adversarial Self-Play Improve Legal Reasoning? A Contro…
arXiv cs.AI Research & Papers
Memory Reward Inflation in Self-Improving LLM Agents
arXiv cs.AI Research & Papers
Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving V…
arXiv cs.AI Research & Papers
Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints
arXiv cs.AI Research & Papers
When Memory Updates but Behavior Does Not: Repairing Implicit Stale Dependencies in Perso…
arXiv cs.AI Research & Papers
Nova: An End-to-End MLIR Compiler for Deep Learning
arXiv cs.AI Research & Papers
Right Answer, Wrong Method: Shortcut Hacking Misleads the Evaluation of LLM Reasoning on …
arXiv cs.AI Research & Papers
Amplitude-Only FFN Intervention for Tool-Structured LLM Inference Method: Gated Evaluatio…
arXiv cs.AI Research & Papers
Emergence Invariance: From Symbolized Thought to Interface Refinement
arXiv cs.AI Research & Papers
Geometric Self-Supervised Pre-training for Neural Combinatorial Optimization
arXiv cs.AI Research & Papers
MA-HEAD-Net: Adaptive Rule-Guided Multi-Agent DRL for AoI Minimization in UAV-Assisted Em…
arXiv cs.AI Research & Papers
More Debate, Same Evidence: Structural Limits of Homogeneous Multi-Agent Groundedness
arXiv cs.AI Research & Papers
Chess on Ice: Curling Tactical Decision-Making via Backward Induction and Deep Reinforcem…
arXiv cs.AI Research & Papers
Optimization and Constraint Modeling using LLMs with a Retrieval Augmented Generation Pro…
arXiv cs.AI Research & Papers
CrystalMem: Elastic Memory for Self-Evolving LLM Agents via Knowledge Crystallization
arXiv cs.AI Research & Papers
RF-HOI: Recognize Human-Object Interaction with Radio Frequency Signals
arXiv cs.AI Research & Papers
Energy Efficiency of Locally Deployed LLMs: A Preliminary Quantitative GPU Power Benchmar…