Papers with hierarchical pipeline

2 papers
Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback (2024.emnlp-main)

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Challenge: Existing datasets do not cover full range of chart types, such as 3D, volumetric, and gridded charts.
Approach: They propose a hierarchical pipeline and a new dataset for chart generation that leverages the relationships within rich datasets.
Outcome: The proposed method outperforms open-source models and is comparable to state-of-the-art proprietary models in data visualization tasks.
PipeSpec: Breaking Stage Dependencies in Hierarchical LLM Decoding (2025.findings-acl)

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Challenge: Speculative decoding is limited by sequential stage dependencies that prevent full hardware utilization.
Approach: They propose a framework that generalizes speculative decoding to use multiple models arranged in a hierarchical pipeline and enables asynchronous execution with lightweight coordination for prediction verification and rollback.
Outcome: The proposed framework achieves 2.25 tokens/unit through pipelined parallelism with multiple models arranged in a hierarchical pipeline.

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