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Found 4 papers, 3 papers with code
Mercury: An Efficiency Benchmark for LLM Code Synthesis
Despite advancements in evaluating Large Language Models (LLMs) for code synthesis, benchmarks have predominantly focused on functional correctness, overlooking the importance of code efficiency.
From Static to Dynamic: A Continual Learning Framework for Large Language Models
The vast number of parameters in large language models (LLMs) endows them with remarkable capabilities, allowing them to excel in a variety of natural language processing tasks.
Image Semantic Relation Generation
Scene graphs provide structured semantic understanding beyond images.
Montage: A General System for Buffered Durably Linearizable Data Structures
The recent emergence of fast, dense, nonvolatile main memory suggests that certain long-lived data might remain in its natural pointer-rich format across program runs and hardware reboots.
Distributed, Parallel, and Cluster Computing Data Structures and Algorithms Performance 68W10, 68Q85, 68M15 D.1.3; B.2.3
