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TransferQA

1 paper tagged archive 2025-07-28

Introduced by Zhaojiang Lin et al. in Zero-Shot Dialogue State Tracking via Cross-Task Transfer

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

TransferQA is a transferable generative QA model, built upon T5 that combines extractive QA and multi-choice QA via a text-to-text transformer framework, and tracks both categorical slots and non-categorical slots in DST. In addition, it introduces two effective ways to construct unanswerable questions, namely, negative question sampling and context truncation, which enable the model to handle “none” value slots in the zero-shot DST setting.

PaperSource

Papers archive 2025-07-28

1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

3 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Dialogue State Tracking1
Question Answering1
Transfer Learning1

Usage over time archive 2025-07-28

Papers per year tagged with TransferQA: 2021 to 2021, peak 1 1 0 2021: 1 paper 2021
Papers per year the archive tags with this method, by the paper's archive date (1 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Question Answering Models

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