Reproducing and Stress-Testing Look-Ahead Prior in Generative Retrieval
A research study replicates and evaluates the Planning Ahead in Generative Retrieval (PAG) approach, which employs a look-ahead strategy to reduce premature pruning in generative retrieval. By utilizing the checkpoint and materials made available by the authors, the primary effectiveness outcomes on MS MARCO Dev and TREC-DL 2019/2020 are successfully replicated, confirming the beam-size-latency trade-off. Additionally, novel diagnostics for plan drift are presented to measure the impact of query variations on the planner's selection of top-n candidates.
Key facts
- Generative retrieval ranks documents by autoregressively generating identifiers.
- PAG uses simultaneous decoding to compute a document-level look-ahead prior.
- Reproduction uses authors' released checkpoint and identifier/trie artifacts.
- Results reproduced on MS MARCO Dev and TREC-DL 2019/2020.
- Beam-size-latency trade-off corroborated in the hardware setting.
- Plan drift diagnostics introduced to quantify query variation effects.
- Study published on arXiv with ID 2604.23396.
- Focus is on inference-time behavior and stress-testing.
Entities
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