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Papers
Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from LLMs
ACL 2025
Modeling Contextual Passage Utility for Multihop Question Answering
IJCNLP 2025
RELATE: Subjective evaluation dataset for automatic evaluation of relevance between text and audio
Interspeech 2025
Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing
EMNLP 2024
It’s All Relative! – A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction
NAACL 2024
Textgraphs-15 Shared Task System Description : Multi-Hop Inference Explanation Regeneration by Matching Expert Ratings
NAACL 2021
Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank
AAAI 2019
Modelling Stopping Criteria for Search Results using Poisson Processes
EMNLP 2019
Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks
NeurIPS 2007