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