Information Retrieval

Failing Forward: Understanding Query Failure in Retrieval, Judgment, and Generation
Understanding query failure across retrieval, judgment, and generation stages.
Led to Mislead: Adversarial Content Injection for Attacks on Neural Ranking Models
Adversarial content injection attacks that mislead neural ranking models.
Refairmulate: A Benchmark Dataset for Gender-Fair Query Reformulations
A benchmark dataset for gender-fair query reformulations in information retrieval.
Self-Paced Fair Ranking with Loss as a Proxy for Bias
Self-paced fair ranking using loss as a proxy for bias.
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.
Datasets for Supervised Adversarial Attacks on Neural Rankers
Datasets for supervised adversarial attacks on neural rankers.
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.