Towards Budget-Aware Dense Retrieval for Tables: Trade-offs, Alternatives and Future Directions

Sankofa: Online Query-Adaptive Dynamic Graph Summaries

Knowledge Graphs (KGs) model semantic relationships between entities and are widely used in tasks such as question answering, recommendation, and large language model training. As KGs grow to billions of triples, storing and querying them on local devices becomes infeasible and also raises privacy concerns. KG summariz...

2022-07 How important are user-generated data for search result quality? Experimental evidence

Creating a collective memory

In large organisations, supplier selection can be slow and resource-heavy. Arindam Majumdar shares the inside track on how a data scientist helped design a supplier recommendation engine that was eventually deployed across his company

SemBERT: Semantic BERT Embeddings and HDBSCAN Clustering for Unsupervised Log Parsing and Template Mining in Large-Scale Distributed Systems

# A preliminary version of this work

ITER: Interaction-Aware Retrieval for Agentic Search

Deep-research agents answer complex user questions through an iterative sequence of search steps, where the agent autonomously formulates sub-queries to retrieve the evidence needed at each stage. However, existing retriever training typically relies only on the sub-query and its corresponding search results at the cur...

AgenticTagger: Generating Structured Item Representation for Recommendation with LLM Agents