NEXUS: Structured Runtime Safety for Tool-Using LLM Agents
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Measuring LLM Trust Allocation Across Conflicting Software Artifacts
FedLSG: LLM-Enhanced Semantic Calibration for Federated Graph Backdoor Defense
Overview of FinMMEval 2026 Task 1: Multilingual Financial Multiple-Choice Question Answer…
Train the Model, Not the Reader: Decodability Supervision for Verifiable Activation Expla…
Hybrid LLM-Guided Search for Quantum Reservoir Architecture Design
Integrity of peer-to-peer distributed LLM inference under malicious nodes
Reading and Steering Representations of Materials-Science Mechanisms in an Open-Weight La…
Internal Knowledge Without External Expression: Probing the Generalization Boundary of a …
AgentCgroup: Understanding and Controlling OS Resources of AI Agents
The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models
Dominant vs. Dominated: Concept-Level Generative Collapse in Diffusion Models
Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning
Did Alice Do Wrong? Cross-Cultural Differences in Student Perceptions of Generative AI Us…
SCPP: A Unified Python Library for Soft Clustering
SynPre-FL: Synthetic data-driven pretraining integrated Federated Learning training frame…
Information Aggregation with AI Agents
LoRA-Tuned Large Language Models for Dementia Detection via Multi-View Speech-Derived Fea…
From Trajectories to Prefixes: Reusing Teacher Trajectories via Replayed Prefixes and Onl…
Decodable but Not Detectable: A Leakage Fingerprint for Near-OOD Benchmarks
LAARA: Layer-Aware Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning
FineServe: A Fine-Grained Dataset and Characterization of Global LLM Serving Workloads
Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review
D3VL: Understanding Driving Scenes from 3D Time Series Data and Video with Language Models
Trustworthy Privacy-Preserving Multimodal Federated Learning for Personalised Breast Canc…
Prompt Programming for Cultural Bias and Alignment of Large Language Models
In-Run Data Shapley for Adam Optimizer
Fine-grained Computation-Communication Overlap via Tile-level Signaling and Scheduling fo…
Challenges of Explainability in Continual Learning for Time Series Forecasting
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framew…