arXiv Artificial IntelligenceMolecular D\'ej\`a Vu: Digit-Level Retrieval of Published Values in Frontier Language Models
arXiv:2609.05381v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly evaluated on…
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arXiv Artificial IntelligencearXiv Artificial IntelligenceCUA-Universe: A Scalable and Dynamic Environment for Hybrid GUI+CLI Agents
arXiv:2609.05374v1 Announce Type: new Abstract: Computer-use agents have advanced on benchmarks like OSWorld…
arXiv Artificial IntelligenceWho Should Grade My Work? Student Perspectives on Transparent AI-Assisted Writing Assessment in Higher Education
arXiv:2609.05346v1 Announce Type: new Abstract: The integration of GenAI tools into higher education…
arXiv Artificial IntelligenceDoes Your Agent's Memory Survive a Model Upgrade? A Controlled Study of Memory Portability
arXiv:2609.05339v1 Announce Type: new Abstract: Model upgrades are routine; memory migrations are not. An…
arXiv Artificial IntelligenceTechnical Manual for a Toolkit for Measuring Contextual Individuation in Transformer Language Models
arXiv:2609.05333v1 Announce Type: new Abstract: A transformer language model assigns a single…
arXiv Artificial IntelligenceLLM-Driven Algorithm Design for Quantum Circuit Synthesis based on Binary Decision Diagrams
arXiv:2609.05327v1 Announce Type: new Abstract: Quantum circuits are central to implementing quantum…
arXiv Artificial IntelligenceLarge Language Models for HVAC Operations in Building Energy Systems: A Critical Review of Methods, Applications, and Deployment Readiness
arXiv:2609.05314v1 Announce Type: new Abstract: Building automation systems generate rich sensor data yet…
arXiv Artificial IntelligenceRISE: Recursive Improvement via Self-Extrapolating Policy Distillation
arXiv:2609.05295v1 Announce Type: new Abstract: On-policy distillation (OPD) provides dense, per-token…
arXiv Artificial IntelligenceBeyond Aggregate Scores: Behavioral Correctness Assumptions for Assessing Reference-Based Automatic Evaluation Methods
arXiv:2609.05289v1 Announce Type: new Abstract: Automated reference-based evaluation methods play a critical…
arXiv Artificial IntelligenceGUT: Quantifying and Optimizing the Reasoning Uncertainty of LLMs via Graph Complexity
arXiv:2609.05284v1 Announce Type: new Abstract: Recent years have witnessed great advances in the reasoning…
arXiv Artificial IntelligenceTesting Interchangeability in LLM Agent Teams
arXiv:2609.05279v1 Announce Type: new Abstract: Production multi-agent systems replace agents constantly, on…
arXiv Artificial IntelligenceDon't Drop Dropout: Optimizing Layer Sparsity for Efficient LLM Training and Inference
arXiv:2609.05275v1 Announce Type: new Abstract: Layer dropout (a.k.a. stochastic depth) has been shown to…
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