:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Panthi, Sugam, Abdelfattah, Rabab
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval
Online Access:	https://arxiv.org/abs/2605.24060
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Same Image, Different Meanings: Toward Retrieval of Context-Dependent Meanings
by: Tsutsumi, Ayuto, et al.
Published: (2026)

Rethinking Multi-objective Ranking Ensemble in Recommender System: From Score Fusion to Rank Consistency
by: Xia, Boyang, et al.
Published: (2026)

RankSteer: Activation Steering for Pointwise LLM Ranking
by: Wang, Yumeng, et al.
Published: (2026)

From Isolated Scoring to Collaborative Ranking: A Comparison-Native Framework for LLM-Based Paper Evaluation
by: Zheng, Pujun, et al.
Published: (2026)

ColBERT-serve: Efficient Multi-Stage Memory-Mapped Scoring
by: Huang, Kaili, et al.
Published: (2025)

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems
by: Ai, Qingyao, et al.
Published: (2025)

RankLLM: A Python Package for Reranking with LLMs
by: Sharifymoghaddam, Sahel, et al.
Published: (2025)

Structured Belief State and the First Precision-Aware Benchmark for LLM Memory Retrieval
by: Flynt, Jeffrey
Published: (2026)

Same Question, Different Source, Different Answer: Auditing Source-Dependence in Medical Multi-Source RAG
by: Li, Yubo, et al.
Published: (2026)

Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-Ranking
by: Schlatt, Ferdinand, et al.
Published: (2024)

RRCM: Ranking-Driven Retrieval over Collaborative and Meta Memories for LLM Recommendation
by: Li, Shijun, et al.
Published: (2026)

RankMamba: Benchmarking Mamba's Document Ranking Performance in the Era of Transformers
by: Xu, Zhichao
Published: (2024)

Batched Self-Consistency Improves LLM Relevance Assessment and Ranking
by: Korikov, Anton, et al.
Published: (2025)

Can LLM Annotations Replace User Clicks for Learning to Rank?
by: Yu, Lulu, et al.
Published: (2025)

When LLM Judges Inflate Scores: Exploring Overrating in Relevance Assessment
by: Yu, Chuting, et al.
Published: (2026)

GRank: Towards Target-Aware and Streamlined Industrial Retrieval with a Generate-Rank Framework
by: Sun, Yijia, et al.
Published: (2025)

OrdRankBen: A Novel Ranking Benchmark for Ordinal Relevance in NLP
by: Wang, Yan, et al.
Published: (2025)

REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking
by: Wang, Pinhuan, et al.
Published: (2025)

Lighting the Way for BRIGHT: Reproducible Baselines with Anserini, Pyserini, and RankLLM
by: Sharifymoghaddam, Sahel, et al.
Published: (2025)

TFRank: Think-Free Reasoning Enables Practical Pointwise LLM Ranking
by: Fan, Yongqi, et al.
Published: (2025)

The Ranking Blind Spot: Decision Hijacking in LLM-based Text Ranking
by: Qian, Yaoyao, et al.
Published: (2025)

Same Outcomes, Different Journeys: A Trace-Level Framework for Comparing Human and GUI-Agent Behavior in Production Search Systems
by: Movin, Maria, et al.
Published: (2026)

SARM: LLM-Augmented Semantic Anchor for End-to-End Live-Streaming Ranking
by: Yang, Ruochen, et al.
Published: (2026)

Think When Needed: Model-Aware Reasoning Routing for LLM-based Ranking
by: Guo, Huizhong, et al.
Published: (2026)

Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning
by: Zhu, Yaochen, et al.
Published: (2025)

LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking
by: Zeng, Yifan, et al.
Published: (2024)

Beyond Single-Score Ranking: Facet-Aware Reranking for Controllable Diversity in Paper Recommendation
by: Tao, Duan Ming
Published: (2026)

Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation
by: Wang, Chengbing, et al.
Published: (2024)

Dynamic Ranked List Truncation for Reranking Pipelines via LLM-generated Reference-Documents
by: Sinhababu, Nilanjan, et al.
Published: (2026)

LLM4PR: Improving Post-Ranking in Search Engine with Large Language Models
by: Yan, Yang, et al.
Published: (2024)

Unveiling Inference Scaling for Difference-Aware User Modeling in LLM Personalization
by: Chen, Suyu, et al.
Published: (2025)

Joint Optimization of Relevance and Engagement in Multi-Task Ranking for E-Commerce with Efficient LLM Supervision
by: Chen, Luming, et al.
Published: (2026)

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

Multimodal Item Scoring for Natural Language Recommendation via Gaussian Process Regression with LLM Relevance Judgments
by: Liu, Yifan, et al.
Published: (2025)

Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels
by: Zhuang, Honglei, et al.
Published: (2023)

ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems
by: Zhang, Yi, et al.
Published: (2026)

Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval
by: Zhang, Yingyi, et al.
Published: (2026)

Campaign-2-PT-RAG: LLM-Guided Semantic Product Type Attribution for Scalable Campaign Ranking
by: Che, Yiming, et al.
Published: (2026)

Objective Shaping with Hard Negatives: Windowed Partial AUC Optimization for RL-based LLM Recommenders
by: Shi, Wentao, et al.
Published: (2026)

Rank, Don't Generate: Statement-level Ranking for Explainable Recommendation
by: Kabongo, Ben, et al.
Published: (2026)