arXiv Computer Science @arxiv_cs@qoto.org

Trustworthy AI-Driven Dynamic Hybrid RIS: Joint Optimization and Reward Poisoning-Resilient Control in Cognitive MISO Networks https://arxiv.org/abs/2604.01238 #cs.NI #cs.AI

ML-Enabled Open RAN: A Comprehensive Survey of Architectures, Challenges, and Opportunities https://arxiv.org/abs/2604.01239 #cs.NI #cs.AI

Computational Foundations for Strategic Coopetition: Formalizing Sequential Interaction and Reciprocity https://arxiv.org/abs/2604.01240 #cs.MA #cs.AI #cs.CY #cs.GT #cs.SE

A Learning-Based Cooperative Coevolution Framework for Heterogeneous Large-Scale Global Optimization https://arxiv.org/abs/2604.01241 #cs.NE #cs.AI #cs.LG

Diffusion models with physics-guided inference for solving partial differential equations https://arxiv.org/abs/2604.01242 #physics.comp-ph #math.NA #cs.NA

Two-Stage Optimizer-Aware Online Data Selection for Large Language Models https://arxiv.org/abs/2604.00001 #cs.LG #cs.AI #cs.CL

Benchmark for Assessing Olfactory Perception of Large Language Models https://arxiv.org/abs/2604.00002 #cs.CL #cs.AI

A Reliability Evaluation of Hybrid Deterministic-LLM Based Approaches for Academic Course Registration PDF Information Extraction https://arxiv.org/abs/2604.00003 #cs.CL #cs.AI #cs.IR

LinearARD: Linear-Memory Attention Distillation for RoPE Restoration https://arxiv.org/abs/2604.00004 #cs.CL #cs.AI

How Emotion Shapes the Behavior of LLMs and Agents: A Mechanistic Study https://arxiv.org/abs/2604.00005 #cs.AI #cs.CL

Scalable Identification and Prioritization of Requisition-Specific Personal Competencies Using Large Language Models https://arxiv.org/abs/2604.00006 #cs.CL #cs.CY #cs.IR #cs.LG

Dynin-Omni: Omnimodal Unified Large Diffusion Language Model https://arxiv.org/abs/2604.00007 #cs.CL #cs.AI

How Trustworthy Are LLM-as-Judge Ratings for Interpretive Responses? Implications for Qualitative Research Workflows https://arxiv.org/abs/2604.00008 #cs.CL #cs.AI

Eyla: Toward an Identity-Anchored LLM Architecture with Integrated Biological Priors -- Vision, Implementation Attempt, and Lessons from AI-Assisted Development https://arxiv.org/abs/2604.00009 #cs.CL #cs.AI

Can LLMs Perceive Time? An Empirical Investigation https://arxiv.org/abs/2604.00010 #cs.CL #cs.AI

CRAFT: Cost-aware Expert Replica Allocation with Fine-Grained Layerwise Estimations https://arxiv.org/abs/2603.28768 #cs.DC #cs.LG

Spark-LLM-Eval: A Distributed Framework for Statistically Rigorous Large Language Model Evaluation https://arxiv.org/abs/2603.28769 #cs.DC #cs.CL #cs.LG

ZEUS: An Efficient GPU Optimization Method Integrating PSO, BFGS, and Automatic Differentiation https://arxiv.org/abs/2603.28770 #cs.DC

Ray Tracing Cores for General-Purpose Computing: A Literature Review https://arxiv.org/abs/2603.28771 #cs.DC

Federated Inference for Heterogeneous LLM Communication and Collaboration https://arxiv.org/abs/2603.28772 #cs.DC