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AutoSP: Unlocking Long-Context LLM Training Via Compiler-Based Sequence Parallelism
Published in ArXiv cs.DC Recent Papers (2026)Subjects: “…Computer Science & IT…”
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Efficient Training on Multiple Consumer GPUs with RoundPipe
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Adaptive Self-Organization in Anonymous Dynamic Networks
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FaaSMoE: A Serverless Framework for Multi-Tenant Mixture-of-Experts Serving
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A Test Taxonomy and Continuous Integration Ecosystem for Dynamic Resource Management in HPC
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Exploring the Efficiency of 3D-Stacked AI Chip Architecture for LLM Inference with Voxel
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A Semantic Quantum Circuit Cache for Scalable and Distributed Quantum-Classical Workflows
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Index-Assisted Stratified Sampling for Online Aggregation
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Tailwind: A Practical Framework for Query Accelerators
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FineState-Bench: Benchmarking State-Conditioned Grounding for Fine-grained GUI State Setting
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SynSQL: Synthesizing Relational Databases for Robust Evaluation of Text-to-SQL Systems
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Unified Data Discovery across Query Modalities and User Intents
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Graphify: Automated Synthesis of Type-Safe Graph Backends via $O(S)$ GraphQL-to-Gremlin Transpilation
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A Toolkit for Detecting Spurious Correlations in Speech Datasets
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PiLLar: Matching for Pivot Table Schema via LLM-guided Monte-Carlo Tree Search
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Evergreen: Efficient Claim Verification for Semantic Aggregates
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CacheRAG: A Semantic Caching System for Retrieval-Augmented Generation in Knowledge Graph Question Answering
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Health System Scale Semantic Search Across Unstructured Clinical Notes
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An Efficient Streaming Algorithm for Approximating Graphlet Distributions
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Mining Negative Sequential Patterns to Improve Viral Genomic Feature Representation and Classification
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