Multi-Turn Conversation and Prompts for Peer Review Organization: Handle Multilingual Materials and Terminology

Peer Review: review conversation for multilingual work. Compare the source records, required inputs and downstream results before handing the task over.

What this category's data looks like

This page addresses industry issues for peer review organizations in multilingual materials and terminology handling. The materials come from three types of records: review invitations, expert review comments, and author revision notes, and the update cadence advances with manuscript circulation and version replacement. The fields cover names, quantities, dates, and signatures. When entering the multi-turn dialogue and prompt feature, review invitations take on the role of the first appearance of a term and the agreed translation, expert review comments take on the role of the recurrence of the same term in a commentary context, and author revision notes take on the role of anaphoric reference of the term to the original text and version synchronization. Together, the three types of materials support the generation of a unified terminology glossary and a comparison draft, and hand it over for external release.

Configuration and implementation checks

This part is executed by the memory turn count and prompt configuration in the app settings, and the output references the historical message range and answer constraints. The "unified terminology glossary and comparison draft" is then completed by the model. The memory turn count controls how many previous dialogue turns can be referenced at most when answering. If the value is too small, the preceding text cannot be used; if the value is too large, irrelevant content is brought in and consumption increases.

ObjectCheckVerification action
Review invitationThe name, quantity, date, and signature of the same term must be consistent across the three types of materials, and the translation must be able to refer back to the original textIn the app settings, check the current memory turn count value, run a trial with two consecutive question turns, and check whether the second turn can carry forward the reference from the first turn
Expert review commentsThe name, quantity, and date of the same record must not fail to match the other two materials, and the version must be synchronizedCompare the usage records of two runs, confirm that run consumption changes accordingly after the turn count is adjusted, and check that the tokens of the quoted text and the number of array entries are recorded separately
Author revision notesThe term is written consistently throughout, the translation can refer back to the original text, and no signature or receipt is missingSample three terms to check whether their spelling is consistent throughout, and check whether the references to chatId, messages, and variables in the historical message range match the current turn

Three common errors

  • Symptom: the same term is written differently in the review invitation and the author revision notes. Cause: the two materials are not version-synchronized, and the terminology glossary is not updated with the revision notes.
  • Symptom: the quantity and date of the same record do not match between the expert review comments and the revision notes. Cause: the fields were not entered with reference back to the original text, and the verification dimensions are missing a signature or receipt.
  • Symptom: when the second question uses anaphora, the answer does not address the question, and the answer becomes slower with increased consumption. Cause: the memory turn count value is too large and brings in irrelevant content, or the opening message is treated as preceding text.

How to verify the setup

Acceptance for this feature: ask two consecutive follow-up questions, see whether the second question carries forward the reference from the first question, and check whether the references to chatId, messages, and variables in the historical message range match the current turn.

Business test: sample three terms to check whether their spelling is consistent throughout.

  • In the app settings, check the current memory turn count value and match it to the preceding text range required by the question.
  • Compare the usage records of two runs, and confirm that run consumption changes accordingly after the turn count is adjusted.