collaborators

27 papers

cs.IR2026

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…

cs.IR2026

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…

cs.AI2026

MoCA-Agent: A Market-of-Claims Code Agent for Financial and Numerical Reasoning

Abdelrahman Abdallah, AbdelRahim A. Elmadany, Sameh Al Natour +3

Financial and tabular question answering requires more than fluent reasoning: answers must be grounded in the exact facts, formulas, units, signs, and scales that support them. A s…

cs.IR2026

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…

cs.CL2026

It's High Time: A Survey of Temporal Question Answering

Bhawna Piryani, Abdelrahman Abdallah, Jamshid Mozafari +2

Time plays a critical role in how information is generated, retrieved, and interpreted. In this survey, we provide a comprehensive overview of Temporal Question Answering (TQA), a…

cs.MA2026

REGREACT: Self-Correcting Multi-Agent Pipelines for Structured Regulatory Information Extraction

Mohammed Ali, Abdelrahman Abdallah, Adam Jatowt

Extracting structured, machine-readable compliance criteria from regulatory documents remains an open challenge. Single-pass language models hallucinate structural elements, lose h…