Tag: information retrieval
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Cycle-Consistent Search: Training Search Agents Without Gold Data
Discover Cycle-Consistent Search, a scalable method to train search agents using question reconstructability without relying on gold supervision.
Permutation-Invariant Table Reasoning for Robust Retrieval
Discover a novel permutation-invariant approach to table reasoning that enhances retrieval stability and overcomes layout biases in large language models.
De-biasing Listwise Rerankers with CapCal Calibration
Discover CapCal, a training-free method to remove positional bias in listwise rerankers, boosting accuracy and efficiency in lightweight retrieval models.
Evaluating Quantum-Inspired 1024-D Document Embeddings
Explore the limits of quantum-inspired 1024-D embeddings with an experimental framework assessing retrieval performance and hybrid strategies.
Utility-Centric Retrieval in the Era of Large Language Models
Explore utility-centric retrieval methods that enhance LLM-based information systems beyond traditional relevance metrics for better user outcomes.