arXiv Artificial IntelligenceKnowing When Not to Answer: Abstention and Refusal Reasoning in Vision--Language Models
arXiv:2609.05540v1 Announce Type: cross Abstract: Many medical conditions require diagnosis through detailed…
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arXiv Artificial IntelligencearXiv Artificial IntelligenceDual-Latent Memory Routing for Vision-Language Reasoning
arXiv:2609.05539v1 Announce Type: cross Abstract: Multimodal large language models (MLLMs) have recently made…
arXiv Artificial IntelligenceBeyond the Verdict: Evidence-Aligned Evaluation of Visual Prompt-Injection Guardrails
arXiv:2609.05535v1 Announce Type: cross Abstract: Verdict-only evaluation does not reveal whether a…
arXiv Artificial IntelligenceWhen Agent Governance Helps
arXiv:2609.05531v1 Announce Type: cross Abstract: No specification says how a governed autotelic AI agent…
arXiv Artificial IntelligenceDART: A DAG-Based Reputation and Incentive Framework via Blockchain-Enabled Governance for Trustworthy LLM Multi-Agent Collaboration
arXiv:2609.05529v1 Announce Type: cross Abstract: Large language model (LLM)-based multi-agent systems (MAS)…
arXiv Artificial IntelligenceDiffusion models for eye-gaze trajectory generation using position and velocity representations
arXiv:2609.05522v1 Announce Type: cross Abstract: Eye-tracking data are expensive to collect, requiring…
arXiv Artificial IntelligenceSituation Awareness for Intelligent Data Distribution in Connected Vehicles
arXiv:2609.05521v1 Announce Type: cross Abstract: The limitations of on-board sensors and blind spots caused…
arXiv Artificial IntelligenceRobots Influencing Humans to Reveal their Goals during Collaboration and Competition
arXiv:2609.05519v1 Announce Type: cross Abstract: We propose a unified strategy for fast goal inference in…
arXiv Artificial IntelligenceCrossModalQA: A Cross-modal and Multi-hop Benchmark for Multimodal Retrieval-augmented Generation
arXiv:2609.05518v1 Announce Type: cross Abstract: Despite the strong capabilities of multimodal large…
arXiv Artificial IntelligenceEmergent Goal-Directed Attention in Large Vision-Language Models
arXiv:2609.05517v1 Announce Type: cross Abstract: Human observers prioritize visual information according to…
arXiv Artificial IntelligenceWhen Do Options Help? Policy Necrosis and Redundant Coverage in Option-Critic
arXiv:2609.05508v1 Announce Type: cross Abstract: Option-critic learns options: sub-policies together with a…
arXiv Artificial IntelligenceProToMEx: Rapid, Interpretable Explanations via Structured Representations
arXiv:2609.04265v1 Announce Type: cross Abstract: Existing post-hoc explainers for machine learning…
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