7 citations · 39 across the 53 of their papers we have counts for
18 papers · 1 filter
OBLIQ-IR: Training a Dense Retriever for Oblique Queries
Mahmoud Abdalla, Abdelrahman Abdallah, Shaimaa Sedek +1
Oblique retrieval, as exemplified by OBLIQ-Bench, asks a retriever to find documents whose relevance is determined by a latent attribute (an implicit stance, an analogous reasoning…
The Magnitude Mirage: Rethinking Confidence for Reasoning-Intensive Retrieval
Jamie Holdcroft, Abdelrahman Abdallah, Adam Jatowt
Many production RAG systems implement retrieval abstention by thresholding raw similarity scores, implicitly treating score magnitude as a confidence signal. We demonstrate that th…
SmallReason-ColBERT: An Ultra-Small Late-Interaction Retriever for Reasoning Intensive Retrieval
Abdelrahman Abdallah, Mohammed Ali, Adam Jatowt
Reasoning-intensive retrieval remains difficult for small models. Compact public ColBERTs are usually trained on general-purpose corpora and underperform reasoning-tuned 150M+ base…
Difficulty-Gated Fusion of Reasoning Views for Temporal Retrieval
Jamie Holdcroft, Abdelrahman Abdallah, Adam Jatowt
Reasoning-intensive temporal retrieval requires matching a query to documents whose relevance depends on shared temporal reasoning rather than lexical overlap. Expanding a query in…
EXCISE: Query-Side Exclusion for Late-Interaction Retrieval
Mohammed Ali, Abdelrahman Abdallah, Adam Jatowt
Late-interaction retrievers handle exclusion queries poorly. When a user asks for X but not Z, the additive MaxSim score promotes documents covering Z, a problem we call exclusion…
Argus-Retriever: Vision-LLM Late-Interaction Retrieval with Region-Aware Query-Conditioned MoE for Visual Document Retrieval
Abdelrahman Abdallah, Mahmoud Abdalla, Mohammed Ali +1
Late-interaction vision-language retrievers represent each document page as many visual token embeddings and score queries with MaxSim. In systems such as ColPali, ColQwen, ColNomi…