Geometric Attention: A Regime-Explicit Operator Semantics for Transformer Attention
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Chimera: Neuro-Symbolic Attention Primitives for Trustworthy Dataplane Intelligence
Guardrails as Scapegoats: Auditing Unfaithful Safety Refusals in Tool-Augmented LLM Agents
AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Correc…
Pre-Deployment Complexity Estimation for Federated Perception Systems
DocShield: Towards AI Document Safety via Evidence-Grounded Agentic Reasoning
Unlearning as Distribution Restoration: A Controlled Counterfactual Study, a Validated Se…
Self-Preference Bias in Rubric-Based Evaluation of Large Language Models
BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators
An Auditable Policy-Simulation Framework for Student Dropout in Intervention-Free Data
Building Trust in Autonomous Commerce: A Verifiable Global Event Timeline and AI-Ready Fr…
ChainWatch: A Kill Chain-Aligned Sequential Detection Framework for Multi-Step Attacks in…
SynSur: An end-to-end generative pipeline for synthetic industrial surface defect generat…
Rewriting the Response Path: Silent Tampering and Provider-Signed Defense in BYOK LLM Age…
PGTT: Phase-Guided Terrain Traversal for Perceptive Legged Locomotion
Distributed Optimization via Energy Conservation Laws in Dilated Coordinates
CEO-Bench: Can Agents Play the Long Game?
SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD
ENTRAP-VL: A Taxonomic Probe for Dual Contextual Entrainment in Vision-Language Models
OpenEvoShield: Dual Non-Stationary Continual Defense for Open-World Multi-Agent System At…
EvoThink: Evolving Thinking in Large Reasoning Models via Self-Pruning and Aha-Moment Pre…
Closing the Lab-to-Store Gap: A Data-Efficient Post-Training and Experience-Driven Learni…
GraphContainer: A Unified Platform for Comparing and Debugging Graph RAG Methods
Profile-Graph Memory for LLM Agents: Implicit Cross-Entity Traversal through Narrative Pr…
Stochastic Primal-Dual Decoding for Multiobjective Generative Recommender Systems
On the Systematic Challenges of Culturally Loaded Machine Translation: Dream of the Red C…
DQAOA-GPT: AI-Accelerated Distributed Quantum Optimization for Combinatorial Problems
The Quadrilateral Loss: Additivity as a Measurable Behavior of Dense Neural Networks
G-MAD: A Game-Based Data Generation Framework for Multi-View RGB-T Aerial Object Detection
Sound Probabilistic Safety Bounds for Large Language Models