43 papers
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…
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…
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…
Question Difficulty Estimation for Large Language Models via Answer Plausibility Scoring
Jamshid Mozafari, Bhawna Piryani, Adam Jatowt
Estimating question difficulty is a critical component in evaluating and improving large language models (LLMs) for question answering (QA). Existing approaches often rely on reada…
Pretraining Exposure Explains Popularity Judgments in Large Language Models
Jamshid Mozafari, Bhawna Piryani, Adam Jatowt
Large language models (LLMs) exhibit systematic preferences for well-known entities, a phenomenon often attributed to popularity bias. However, the extent to which these preference…