arXiv Artificial IntelligenceExpertLens: Visualizing Embedding Spaces for Post-Hoc Explainability in MoE Enhanced Retrievers
arXiv:2609.06155v1 Announce Type: cross Abstract: Neural models, including dense retrievers, have been widely…
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arXiv Artificial IntelligencearXiv Artificial IntelligenceSCRIPTIOC-BENCH: A Benchmark for Recognizing Actionable Threat Intelligence from Script-Based Malware using LLMs
arXiv:2609.06149v1 Announce Type: cross Abstract: Script-based malware remains a prevalent attack technique…
arXiv Artificial IntelligenceWhat the Window Does Not Contain: Auditing Provenance in a Document-Grounded Instability Benchmark
arXiv:2609.06147v1 Announce Type: cross Abstract: Ask a language model the same question about the same…
arXiv Artificial IntelligencePAGR: Proof-Carrying Algebraic-Geometric Retrieval: A Quiver-, Provenance-, and Sheaf-Theoretic Framework for Grounded LLM Retrieval
arXiv:2609.06127v1 Announce Type: cross Abstract: Retrieval-augmented generation is usually formulated as a…
arXiv Artificial IntelligenceVERPO: Verified Evidence Regularized Policy Optimization
arXiv:2609.06100v1 Announce Type: cross Abstract: Verifiable outcome rewards guide language-model…
arXiv Artificial IntelligenceFlawed but Memorable: Student Critical Reception of Interest-Personalized GenAI Analogies in Computing Education
arXiv:2609.06095v1 Announce Type: cross Abstract: Motivation: Undergraduate computing students increasingly…
arXiv Artificial IntelligenceExplainable Deep Learning for Price-Trade Dynamics: From Black-Box Forecasts to Effective Parametric Models
arXiv:2609.06085v1 Announce Type: cross Abstract: Understanding the joint dynamics of prices and trades is…
arXiv Artificial IntelligencePhenoBench: Mapping What a Deeply Phenotyped Human Cohort Can Tell Us
arXiv:2609.06080v1 Announce Type: cross Abstract: Deeply phenotyped cohorts combine clinical, imaging…
arXiv Artificial IntelligenceFedSubMuon: Communication-Efficient Federated LLM Fine-Tuning via Structured Subspace Muon
arXiv:2609.06073v1 Announce Type: cross Abstract: Federated fine-tuning adapts large language models (LLMs)…
arXiv Artificial IntelligenceACE: Adapter Consolidation across Experts for Parameter-Efficient Fine-Tuning of MoE LLMs
arXiv:2609.06072v1 Announce Type: cross Abstract: Parameter-efficient fine-tuning (PEFT) of…
arXiv Artificial IntelligenceThe Role of Gradient Modification in Heavy-Tailed Nonconvex Stochastic Min-Max Optimization
arXiv:2609.06064v1 Announce Type: cross Abstract: Stochastic min-max optimization has attracted increasing…
arXiv Artificial IntelligenceCalendar-SPCA: Interpretable Representation Learning for Multi-Periodic Electricity Consumption Profiles
arXiv:2609.06060v1 Announce Type: cross Abstract: Long-term electricity-consumption profiles exhibit several…
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