Information Retrieval

Gender disentangled representation learning in neural rankers
Gender disentangled representation learning in neural rankers for bias mitigation.
LLM-as-a-Judge in Entity Retrieval: Assessing Explicit and Implicit Relevance
Using LLMs as judges for assessing explicit and implicit relevance in entity retrieval.
Understanding and Mitigating Gender Bias in Information Retrieval Systems
A comprehensive survey on understanding and mitigating gender bias in information retrieval systems.
Who Gets to be an Expert? The Hidden Bias in Expert Finding
Investigating hidden biases in expert finding systems.
Enhanced retrieval effectiveness through selective query generation
Enhanced retrieval effectiveness through selective query generation.
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.