:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Abdallah, Abdelrahman, Ali, Mohammed, Piryani, Bhawna, Jatowt, Adam
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval
Online Access:	https://arxiv.org/abs/2604.08834
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation
by: Abdallah, Abdelrahman, et al.
Published: (2025)

DeAR: Dual-Stage Document Reranking with Reasoning Agents via LLM Distillation
by: Abdallah, Abdelrahman, et al.
Published: (2025)

RankArena: A Unified Platform for Evaluating Retrieval, Reranking and RAG with Human and LLM Feedback
by: Abdallah, Abdelrahman, et al.
Published: (2025)

How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models
by: Abdallah, Abdelrahman, et al.
Published: (2025)

Wrong Answers Can Also Be Useful: PlausibleQA -- A Large-Scale QA Dataset with Answer Plausibility Scores
by: Mozafari, Jamshid, et al.
Published: (2025)

HintEval: A Comprehensive Framework for Hint Generation and Evaluation for Questions
by: Mozafari, Jamshid, et al.
Published: (2025)

Exploring Hint Generation Approaches in Open-Domain Question Answering
by: Mozafari, Jamshid, et al.
Published: (2024)

Question Difficulty Estimation for Large Language Models via Answer Plausibility Scoring
by: Mozafari, Jamshid, et al.
Published: (2026)

TempRetriever: Fusion-based Temporal Dense Passage Retrieval for Time-Sensitive Questions
by: Abdallah, Abdelrahman, et al.
Published: (2025)

It's High Time: A Survey of Temporal Question Answering
by: Piryani, Bhawna, et al.
Published: (2025)

Context Convergence Improves Answering Inferential Questions
by: Mozafari, Jamshid, et al.
Published: (2026)

Evaluating Answer Reranking Strategies in Time-sensitive Question Answering
by: Kardan, Mehmet, et al.
Published: (2025)

SustainableQA: A Comprehensive Question Answering Dataset for Corporate Sustainability and EU Taxonomy Reporting
by: Ali, Mohammed, et al.
Published: (2025)

Are LLM-Based Retrievers Worth Their Cost? An Empirical Study of Efficiency, Robustness, and Reasoning Overhead
by: Abdallah, Abdelrahman, et al.
Published: (2026)

TEMPO: A Realistic Multi-Domain Benchmark for Temporal Reasoning-Intensive Retrieval
by: Abdallah, Abdelrahman, et al.
Published: (2026)

ASRank: Zero-Shot Re-Ranking with Answer Scent for Document Retrieval
by: Abdallah, Abdelrahman, et al.
Published: (2025)

RECOR: Reasoning-focused Multi-turn Conversational Retrieval Benchmark
by: Ali, Mohammed, et al.
Published: (2026)

Negative Sampling Techniques in Information Retrieval: A Survey
by: Wischounig, Laurin, et al.
Published: (2026)

DynRank: Improving Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification
by: Abdallah, Abdelrahman, et al.
Published: (2024)

From Retrieval to Generation: Comparing Different Approaches
by: Abdallah, Abdelrahman, et al.
Published: (2025)

WikiHint: A Human-Annotated Dataset for Hint Ranking and Generation
by: Mozafari, Jamshid, et al.
Published: (2024)

MM-BRIGHT: A Multi-Task Multimodal Benchmark for Reasoning-Intensive Retrieval
by: Abdallah, Abdelrahman, et al.
Published: (2026)

A Study into Investigating Temporal Robustness of LLMs
by: Wallat, Jonas, et al.
Published: (2025)

Detecting Temporal Ambiguity in Questions
by: Piryani, Bhawna, et al.
Published: (2024)

Analyzing the Role of Context in Forecasting with Large Language Models
by: Mutschlechner, Gerrit, et al.
Published: (2025)

LLMTemporalComparator: A Tool for Analysing Differences in Temporal Adaptations of Large Language Models
by: Fritsch, Reinhard Friedrich, et al.
Published: (2024)

Navigating Tomorrow: Reliably Assessing Large Language Models Performance on Future Event Prediction
by: Nako, Petraq, et al.
Published: (2025)

ArabicaQA: A Comprehensive Dataset for Arabic Question Answering
by: Abdallah, Abdelrahman, et al.
Published: (2024)

Leveraging Reference Documents for Zero-Shot Ranking via Large Language Models
by: Li, Jieran, et al.
Published: (2025)

Pretraining Exposure Explains Popularity Judgments in Large Language Models
by: Mozafari, Jamshid, et al.
Published: (2026)

TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy
by: Chen, Yiqun, et al.
Published: (2024)

Reasoning to Rank: An End-to-End Solution for Exploiting Large Language Models for Recommendation
by: Zheng, Kehan, et al.
Published: (2026)

Evaluating Robustness of LLMs in Question Answering on Multilingual Noisy OCR Data
by: Piryani, Bhawna, et al.
Published: (2025)

Finetuning Large Language Model for Personalized Ranking
by: Bai, Zhuoxi, et al.
Published: (2024)

GoalRank: Group-Relative Optimization for a Large Ranking Model
by: Zhang, Kaike, et al.
Published: (2025)

DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task
by: Liu, Wenhan, et al.
Published: (2024)

PARSE: An Open-Domain Reasoning Question Answering Benchmark for Persian
by: Mozafari, Jamshid, et al.
Published: (2026)

ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper Pages
by: Piryani, Bhawna, et al.
Published: (2024)

K-order Ranking Preference Optimization for Large Language Models
by: Cai, Shihao, et al.
Published: (2025)

A Study of Implicit Ranking Unfairness in Large Language Models
by: Xu, Chen, et al.
Published: (2023)