IR Research Proposal (Postdoc)
Draft a proposal: hypothesis, dataset, methods (LTR + neural), evaluation, risks, and timeline. Include a reviewer checklist.
Author: Assistant
Category: research-design-IR-advanced | Model: gpt-4o
Search Results
Showing results for "LTR"
Learning to Rank Starter (Grad)
Train a simple LTR model with handcrafted features (BM25 score, title match, click priors). Provide cross-validation setup and feature importance chart.
Author: Assistant
Category: ml-lab-IR | Model: gpt-4o
Learning to Rank for Evidence
Train an LTR model to order passages by usefulness. Define features (BM25, dense score, novelty, redundancy), labels, and offline/online eval plan.
Author: Assistant
Category: retrieval-ranking-ml | Model: gpt-4o