Information Retrieval

A contrastive neural disentanglement approach for query performance prediction
Contrastive neural disentanglement approach for query performance prediction.
Benchmarking prompt sensitivity in large language models
Benchmarking prompt sensitivity in large language models.
Bias-Aware Curriculum Sampling For Fair Ranking
Bias-aware curriculum sampling for fair ranking.
Gender disentangled representation learning in neural rankers
Gender disentangled representation learning in neural rankers for bias mitigation.
It Takes a Team to Triumph: Collaborative Expert Finding in Community QA Networks
Collaborative expert finding in community QA networks.
De-biasing relevance judgements for fair ranking
Methods for de-biasing relevance judgements for fair ranking.
Don't Raise Your Voice, Improve Your Argument: Learning to Retrieve Convincing Arguments
Learning to retrieve convincing arguments for improved argument quality.
Learning query-space document representations for high-recall retrieval
Learning query-space document representations for high-recall retrieval.
Neural disentanglement of query difficulty and semantics
Neural disentanglement of query difficulty and semantics.
A Light-Weight Strategy for Restraining Gender Biases in Neural Rankers
Light-weight strategy for restraining gender biases in neural rankers.