LLM Reranking

LLM: Large Language Model

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13 papers in the last four weeks, up 18% on the four weeks before. 0.1% of all new papers.

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Latest papers 89

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SCI-Defense: Defending Manipulation Attacks from Generative Engine Optimization
May 21, 2026Xucheng Yu, Haibo Jin, Huimin Zeng +1LLM Reranking Adversarial Example Detection
Siebel School of Computing and Data Science, University of Illinois Urbana-Champaign · School of Information Sciences, University of Illinois Urbana-Champaign · Amazon
Beyond Semantic Similarity: A Two-Phase Non-Parametric Retrieval Workflow for Corporate Credit Underwriting
May 20, 2026Linus Ng Junjia, Ezekiel Tee Kongquan, Kelvin Heng +2Financial Services Retrieval-Augmented Generation
OCBC, Singapore · 2Georgia Institute of Technology.
Semantic Reranking at Inference Time for Hard Examples in Rhetorical Role Labeling
May 18, 2026Anas Belfathi, Nicolas Hernandez, Laura Monceaux +2LLM Reranking
Nantes Université, École Centrale Nantes, CNRS, LS2N, UMR 6004, F-44000 Nantes, France · University of Lorraine, France
BLAgent: Agentic RAG for File-Level Bug Localization
May 18, 2026Md Afif Al Mamun, Gias UddinSoftware Engineering Agents LLM Reranking
University of Calgary, Canada · York University, Canada
LERA: LLM-Enhanced RAG for Ad Auction in Generative Chatbots
May 15, 2026Haoran Sun, Xinrui Song, Xinyu Zhang +7Retrieval-Augmented Generation Mechanism Design
Peking University · Shandong University · Alibaba Group
Active Learners as Efficient PRP Rerankers
May 14, 2026Jeremías Figueiredo Paschmann, Juan Kaplan, Francisco Nattero +3Pairwise Preference Learning Pairwise Comparison
ELIAS Lab, Departamento de Ingeniería, Universidad de San Andrés
F-GRPO: Factorized Group-Relative Policy Optimization for Unified Candidate Generation and Ranking
May 13, 2026Rohan Surana, Gagan Mundada, Junda Wu +9Group Relative Policy Optimization LLM Reranking
UC San Diego · University of Illinois at Urbana-Champaign · Adobe Research
Qwen Goes Brrr: Off-the-Shelf RAG for Ukrainian Multi-Domain Document Understanding
May 11, 2026Anton Bazdyrev, Ivan Bashtovyi, Ivan Havlytskyi +2Retrieval-Augmented Generation LLM Reranking
National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
ConFit v3: Improving Resume-Job Matching with LLM-based Re-Ranking
May 10, 2026Xiao Yu, Ruize Xu, Chengyuan Xue +6Reinforcement Learning Learning to Rank
Columbia University · New York, NY, USA · John Hopkins University +6
MemReranker: Reasoning-Aware Reranking for Agent Memory Retrieval
May 7, 2026Chunyu Li, Mengyuan Zhang, Jingyi Kang +6LLM Agent Memory LLM Reranking
1MemTensor (Shanghai) Technology · 2China Telecom Research Institute · 3Shanghai Jiao Tong University
CAR: Query-Guided Confidence-Aware Reranking for Retrieval-Augmented Generation
May 6, 2026Zhipeng Song, Yizhi Zhou, Xiangyu Kong +6Retrieval-Augmented Generation Learning to Rank
School of Computer Science and Technology, Dalian University of Technology, No.2 Linggong Road, Ganjingzi District, Dalian, 116024, China · School of Information Engineering, Dalian Ocean University, No. 2-52, Heishijiao Street, Shahekou District, Dalian, 116023, China · School of Information Engineering, Liaodong University, No.116 Linjiang Back Street, Zhenan District, Dandong, 118001, China +3
Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and Reasoning
May 2, 2026Sangkwon Park, Donghun Kang, Jisoo Mok +1Retrieval-Augmented Generation LLM Reranking
Department of Electrical and Computer Engineering, Seoul National University · DGIST · Interdisciplinary Program in Artificial Intelligence, Seoul National University +1
One Pass, Any Order: Position-Invariant Listwise Reranking for LLM-Based Recommendation
Apr 30, 2026Ethan Bito, Yongli Ren, Estrid HeLearning to Rank LLM Reranking
RMIT University, Melbourne, Australia
A Survey of Reasoning-Intensive Retrieval: Progress and Challenges
Apr 30, 2026Yiyang Wei, Tingyu Song, Siyue Zhang +1LLM Reranking IR Evaluation
Zhejiang University · University of the Chinese Academy of Sciences · Nanyang Technological University +1
From Unstructured to Structured: LLM-Guided Attribute Graphs for Entity Search and Ranking
Apr 30, 2026Yilun Zhu, Nikhita Vedula, Shervin MalmasiKG Construction E-Commerce Search
Amazon.com, Inc. Seattle, USA
Select to Think: Unlocking SLM Potential with Local Sufficiency
Apr 29, 2026Wenxuan Ye, Yangyang Zhang, Xueli An +2Small Language Models Efficient Language Model Reasoning
1Technical University of Munich · 3Ludwig Maximilian University of Munich · 2Huawei Technologies +2
Entropy Centroids as Intrinsic Rewards for Test-Time Scaling
Apr 28, 2026Wenshuo Zhao, Qi Zhu, Xingshan Zeng +4LLM Inference Test-Time Scaling
May · HKUST · ZJU +1
Learning to Route Queries to Heads for Attention-based Re-ranking with Large Language Models
Apr 27, 2026Yuxing Tian, Fengran Mo, Zhiqi Huang +2Attention Head Analysis Learning to Rank
Université de Montréal · Capital One · McGill University & MILA
ResRank: Unifying Retrieval and Listwise Reranking via End-to-End Joint Training with Residual Passage Compression
Apr 24, 2026Xiaojie Ke, Shuai Zhang, Liansheng Sun +6Learning to Rank LLM Reranking
Qwen Applications Business Group of Alibaba
All Languages Matter: Understanding and Mitigating Language Bias in Multilingual RAG
Apr 22, 2026Dan Wang, Guozhao Mo, Yafei Shi +9Retrieval-Augmented Generation LLM Reranking
Chinese Information Processing Laboratory, Institute of Software, Chinese Academy of Sciences · University of Chinese Academy of Sciences · MYbank, AntGroup
SCURank: Ranking Multiple Candidate Summaries with Summary Content Units for Enhanced Summarization
Apr 21, 2026Bo-Jyun Wang, Ying-Jia Lin, Hung-Yu KaoLearning to Rank Text Summarization
Department of Computer Science and Information Engineering, National Cheng Kung University · Department of Artificial Intelligence, Chang Gung University · Artificial Intelligence Research Center, Chang Gung University +1
CoSearch: Joint Training of Reasoning and Document Ranking via Reinforcement Learning for Agentic Search
Apr 19, 2026Hansi Zeng, Liam Collins, Bhuvesh Kumar +2Reinforcement Learning Learning to Rank
Center for Intelligent Information Retrieval, University of Massachusetts Amherst · Snap Inc.
HeadRank: Decoding-Free Passage Reranking via Preference-Aligned Attention Heads
Apr 19, 2026Juyuan Wang, Chenxing Wang, Yuchen Fang +8Attention Head Analysis Self-Attention
Weixin Group, Tencent, China · 2South China University of Technology, Guangzhou, China
Rethinking the Necessity of Adaptive Retrieval-Augmented Generation through the Lens of Adaptive Listwise Ranking
Apr 17, 2026Jun Feng, Jiahui Tang, Zhicheng He +5Retrieval-Augmented Generation Learning to Rank
Hefei University of Technology · University of Science and Technology of China
SCATR: Simple Calibrated Test-Time Ranking
Apr 16, 2026Divya Shyamal, Marta Knežević, Lan Tran +3Test-Time Scaling Best-of-N Sampling
EPFL · MIT
BioELX: Context-Aware Cross-lingual Biomedical Entity Linking without Task-Specific Supervision
Apr 9, 2026Yi Wang, Corina Dima, Liangyu Zhong +1LLM Reranking Multilingual IR
Institute for AI, University of Stuttgart · Technical University of Berlin · University of Southampton
Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning
Apr 2, 2026Yuhang Wu, Xiangqing Shen, Fanfan Wang +4Retrieval-Augmented Generation Reinforcement Learning
School of Computer Science and Engineering, Nanjing University of Science and Technology, China · School of Intelligence Science and Technology, Nanjing University, China · School of Artificial Intelligence, Nanjing University, China
Diagnosing LLM Reranker Behavior Under Fixed Evidence Pools
Feb 20, 2026Baris Arat, Emre SeferLLM Evaluation LLM Reranking
Ozyegin University Istanbul, Turkey
GR2: Generative Reasoning Re-ranker
Feb 8, 2026Mingfu Liang, Yufei Li, Jay Xu +20RL for Language Models LLM Reranking
Meta AI
Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization
Oct 8, 2025Tiancheng Xing, Jerry Li, Yixuan Du +1Adversarial Attacks on LLMs LLM Reranking
National University of Singapore · University of Southern California · Georgetown University +1
PiCSAR: Probabilistic Confidence Selection And Ranking for Reasoning Chains
Aug 29, 2025Joshua Ong Jun Leang, Zheng Zhao, Aryo Pradipta Gema +7Confidence Estimation in Language Models Best-of-N Sampling
Imperial College London · University of Edinburgh · UCL

May 21, 2026, cs.LGJ/K move · Enter open · S save

SCI-Defense: Defending Manipulation Attacks from Generative Engine Optimization

Xucheng Yu, Haibo Jin, Huimin Zeng, Haohan Wang

Siebel School of Computing and Data Science, University of Illinois Urbana-Champaign · School of Information Sciences, University of Illinois Urbana-Champaign · Amazon

LLM Reranking Adversarial Example Detection Adversarial Text Attacks

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LLM-based ranking systems are vulnerable to Generative Engine Optimization (GEO) attacks, where adversaries inject semantic signals into product descriptions to artificially boost rankings. We propose SCI-Defense, a three-component defense framework combining Perplexity detection (PPL), Semantic Integrity Scoring (SIS), and Inter-Candidate Detection (ICD). SIS evaluates four manipulation dimensions: Authority Attribution (AA), Narrative Purposiveness (NP), Comparative Claims (CA), and Temporal Claims (TC). Evaluated on 600 Amazon product descriptions across 6 categories, SCI-Defense achieves Precision=1.000 and FPR=0.000, with Recall of 1.000, 0.952, and 0.830 against String, Reasoning, and Review attacks respectively. On 600 MS MARCO web passages, String attacks are blocked with perfect recall while Review attacks yield near-zero recall, as web passages lack the persuasion-oriented signals that SIS targets in product descriptions. We demonstrate that existing defenses -- PPL-only filters, SafetyClf content classifiers, and paraphrasing -- achieve zero recall against semantic manipulation attacks. We further demonstrate new attacks such as Specification Amplification and Use-Case Saturation can expose semantic relevance manipulation as a structural defense blind spot that suggests directions for future research.

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