TREC 2025 Proceedings

infolab_UD_run4

Submission Details

Organization
UDInfo
Track
Million LLM
Task
LLM Ranking Task
Date
2025-09-22

Run Description

Is the run manual or automatic?
automatic
Did you use the response metadata?
no
Did you use any additional data or external knowledge?
yes
Did you use the development set?
yes
Did you train on the development set?
yes
Provide a description of this run, including details about your answers above.
Run 4: MLP Classifier Ranking. Consists of three main components: 1. Weak labeling: discovery datasets were labeled with an LLM as a judge on how good the answers were given the query. 2. Queries and answers encoding 3. MLP Classifier training At inference: New query -> encoded -> MLP Classifier -> prediction and probability distribution *Run Type: Automatic and External – no manual intervention was performed after seeing the test queries. And, it is external because an LLM was used for weak labeling.
Priority for pooling
4

Evaluation Files

Paper