Frequentist Guarantees of Distributed (Non)-Bayesian Inference

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End-to-End and Phase-Level Performance Optimization for Hyperledger Fabric

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AutoSP: Unlocking Long-Context LLM Training Via Compiler-Based Sequence Parallelism

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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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Asymptotic Inference for Multi-Stage Stationary Treatment Policy with Variable Selection

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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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