Latest

• Decentralized in Name Only: The Centralization of DAO Labor
• Graph Poisoning for Node Rank Manipulation
• Self-Paced Fair Ranking with Loss as a Proxy for Bias
• A contrastive neural disentanglement approach for query performance prediction
• Benchmarking prompt sensitivity in large language models
• Bias-Aware Curriculum Sampling For Fair Ranking
• Datasets for Supervised Adversarial Attacks on Neural Rankers
• Gender disentangled representation learning in neural rankers
• LLM-as-a-Judge in Entity Retrieval: Assessing Explicit and Implicit Relevance
• Say the Task, Build the Team: Prompt-Based Team Formation
• Enhanced retrieval effectiveness through selective query generation
• It Takes a Team to Triumph: Collaborative Expert Finding in Community QA Networks
• De-biasing relevance judgements for fair ranking
• Don't Raise Your Voice, Improve Your Argument: Learning to Retrieve Convincing Arguments
• Embedding-based team formation for community question answering
• Learning query-space document representations for high-recall retrieval
• Neural disentanglement of query difficulty and semantics
• TEAM DISCOVERY FOR COMMUNITY-BASED QUESTION ANSWERING SYSTEMS
• A Light-Weight Strategy for Restraining Gender Biases in Neural Rankers
• A Light-Weight Strategy for Restraining Gender Biases in Neural Rankers
• A Neural Approach to Forming Coherent Teams in Collaboration Networks
• A Neural Approach to Forming Coherent Teams in Collaboration Networks
• Addressing gender-related performance disparities in neural rankers
• Bias-aware Fair Neural Ranking for Addressing Stereotypical Gender Biases
• Feature-based question routing in community question answering platforms
• Gender fairness in information retrieval systems
• Collaborative experts discovery in social coding platforms
• Collaborative experts discovery in social coding platforms
• Exploring Gender Biases in Information Retrieval Relevance Judgement Datasets
• Matches made in heaven: Toolkit and large-scale datasets for supervised query reformulation
• On the orthogonality of bias and utility in ad hoc retrieval
• OpenAttHetRL: An Open Source Toolkit for Attributed Heterogeneous Network Representation Learning
• Query Performance Prediction Through Retrieval Coherency