arXiv Artificial IntelligenceWeakly supervised concept Bottleneck Learning for Robust Two stage Object centric visual reasoning
arXiv:2608.22584v1 Announce Type: new Abstract: Two-stage neuro-symbolic architectures provide an elegant…
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arXiv Artificial IntelligencearXiv Artificial IntelligenceScaling Curriculum Learning For Autonomous Driving
arXiv:2608.22549v1 Announce Type: new Abstract: Batched simulators for autonomous driving have recently…
arXiv Artificial IntelligenceSTAGE: Stateful Translation to Agentic Graph Execution with Policy-Scoped Context and Deterministic Control
arXiv:2608.22538v1 Announce Type: new Abstract: Policy-governed agents must interpret case evidence while…
arXiv Artificial IntelligenceCONTRAMEM: Learning Self-Evolving Procedural Memory from Contrasting Multi-Model Trajectories
arXiv:2608.22533v1 Announce Type: new Abstract: Autonomous computer-use agents are increasingly applied to…
arXiv Artificial IntelligenceHANSARD: A Reference Architecture for Forensic Readiness, Runtime Witnessing, and Graded Attribution in Autonomous Multi-Agent AI Systems
arXiv:2608.22512v1 Announce Type: new Abstract: Autonomous multi-agent systems nowadays act in finance…
arXiv Artificial IntelligenceClawProBench: Trace-Aware Evaluation of AI Agents with Runtime Coverage and Frozen Workplace-Style Holdouts
arXiv:2608.22510v1 Announce Type: new Abstract: Agent benchmarks often evaluate only final answers even when…
arXiv Artificial IntelligenceWhen Does AI for PDEs Yield Scientific Evidence?
arXiv:2608.22504v1 Announce Type: new Abstract: Existing AI-for-PDE benchmarks primarily assess models in…
arXiv Artificial IntelligenceSmall Reasoning Models are Instruction Followers in Function Calling
arXiv:2608.22472v1 Announce Type: new Abstract: Function calling represents the core capability of agentic…
arXiv Artificial IntelligenceWhen Persona Simulations Are Informative: Graph-Structured Signals for Pluralistic Opinion Sensing
arXiv:2608.22438v1 Announce Type: new Abstract: Persona-conditioned large language models (LLMs) are…
arXiv Artificial IntelligenceThink with Structured Grounding: Perceptual Reinforcement Learning for Chart and Visual-Tabular Understanding
arXiv:2608.22429v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) capable of thinking…
arXiv Artificial IntelligenceWhere World Models Break: Natural-Input Failure Discovery
arXiv:2608.22421v1 Announce Type: new Abstract: World models predict action-conditioned futures and serve as…
arXiv Artificial IntelligenceLLMs for Survey Text Analysis - A Performance Comparison Between Humans and GPT-5 on Inductive Content Analysis
arXiv:2608.22417v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used to support…
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