Retrievers

Follow this field Ask about this field

Recent momentum

emerging

0 papers in the last 28 days · 0.0% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Weekly history

Recent digests

What was published in this field, kept on the site without email delivery.

Period ending 2026-09-21

7 new papers

A weekly snapshot of new work published in Retrievers.

Period ending 2026-09-14

6 new papers

A weekly snapshot of new work published in Retrievers.

Period ending 2026-09-07

8 new papers

A weekly snapshot of new work published in Retrievers.

Inside this field

Focused directions

Focused topic

Retrievers

Within Retrievers

80 papersExplore

Focused topic

Information Retrieval Metrics

Within Retrievers

66 papersExplore

Focused topic

Retrieval Task

Within Retrievers

66 papersExplore

Focused topic

Retrieval Layer

Within Retrievers

60 papersExplore

Focused topic

Retrieval Strategies

Within Retrievers

19 papersExplore

280 papers

Latest in Retrievers

Browse all topics →

GraphReview: Scientific Paper Evaluation via LLM-Based Graph Message Passing
May 26, 2026Pujun Zheng, Wanying Ren, Jiacheng Yao +2Peer Review Information Retrieval Metrics
Plans for Evaluating Structured Generative Search Summaries
May 26, 2026Tetsuya Sakai, Jina Lee, Hanpei Fang +1Summarization Information Retrieval Metrics
In-Context Optimization for Retrieval-Augmented Generation: A Gradient-Descent Perspective
May 25, 2026Mingchen Li, Jiatan Huang, Chuxu Zhang +2Retrieval-Augmented Generation Systems In-Context Learning
Universal Activation Verbalizer: A Unified Framework for Cross-Model Activation Explanation
May 25, 2026Haiyan Zhao, Zirui He, Guanchu Wang +3Verbalization Model Activations
Checking Fact with Better Retrieval: Dynamic Contrastive Learning for Evidence Retrieval
May 24, 2026Zhongtian Hua, Yi Luo, Meijia Yu +1Multilingual Fact-Checking Multimodal Retrieval
Resolving Ambiguity in Composed Image Retrieval via Calibrated Interaction
May 23, 2026Amsisan Tran, Baogh Le, Tuan Kiet Pham +1Composed Image Retrieval Retrievers
The Multilingual Curse at the Retrieval Layer: Evidence from Amharic
May 23, 2026Yosef Worku Alemneh, Kidist Amde Mekonnen, Maarten de RijkeMultilingual Language Models Multilingual
MGRetrieval: Memory-Guided Reflective Retrieval for Long-Term Dialogue Agents
May 22, 2026Tan Wang, Yunwei DongLong-Term Conversational Memory Retrieval Task
Is Dimensionality a Barrier for Retrieval Models?
May 22, 2026Kiril Bangachev, Guy Bresler, Jonathan Kogan +1Retrieval Layer Embedding Dimension
MuKV: Multi-Grained KV Cache Compression for Long Streaming Video Question-Answering
May 21, 2026Junbin Xiao, Jiajun Chen, Tianxiang Sun +2Video Question Answering Key-Value Cache Compression
Direct content-based retrieval from music scores images
May 21, 2026Noelia Luna-Barahona, Antonio Ríos-Vila, Félix Fuentes-Hurtado +2Composed Image Retrieval Retrieval Task
LLM-Metrics: Measuring Research Impact Through Large Language Model Memory
May 21, 2026Si Shen, Wenhua Zhao, Danhao ZhuReal Datacite Dois Citations
When Cases Get Rare: A Retrieval Benchmark for Off-Guideline Clinical Question Answering
May 20, 2026Doeun Lee, Muge Zhang, Yi Yu +11Clinical Reasoning Multi-Hop Question Answering Benchmarks
Beyond Semantic Similarity: A Two-Phase Non-Parametric Retrieval Workflow for Corporate Credit Underwriting
May 20, 2026Linus Ng Junjia, Ezekiel Tee Kongquan, Kelvin Heng +2Retrievers Relevance
SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models
May 19, 2026Yiyang Gu, Junwei Yang, Junyu Luo +15Scientific Discovery Information Retrieval Metrics
CMAG: Concept-Scaffolded Retrieval for Marketplace Avatar Generation
May 18, 2026Rajeev Goel, Jason Ding, Phani Harish Wajjala +3Avatars 3D Assets
Surface-Form Neural Sparse Retrieval: Robust Fuzzy Matching for Industrial Music Search
May 18, 2026Paul Greyson, Zhichao Geng, Wei Zhang +1Retrieval Layer Conversational Music Recommendation
Temporal Decay of Co-Citation Predictability: A 20-Year Statute Retrieval Benchmark from 396M Ukrainian Court Citations
May 17, 2026Volodymyr OvcharovPredictive Law Citations
When Retrieval Hurts Code Completion: A Diagnostic Study of Stale Repository Context
May 14, 2026Haojun Weng, Qianqian Yang, Hao Fu +2Repository Code Completion
The 99% Success Paradox: When Near-Perfect Retrieval Equals Random Selection
May 14, 2026Vyzantinos Repantis, Harshvardhan Singh, Tony Joseph +5Information Retrieval Metrics Selectivity
Scaling Retrieval-Augmented Reasoning with Parallel Search and Explicit Merging
May 13, 2026Jiabei Liu, Wenyu Mao, Junfei Tan +4Retrievers Search Agents
KadiAssistant: A conversational AI Agent for information retrieval in Kadi4Mat
May 13, 2026Adrian Cierpka, Mohammad Shafiqul Islam, Johannes Steinhülb +3Retrieval Task Knowledge Graphs
Strikingness-Aware Evaluation for Temporal Knowledge Graph Reasoning
May 13, 2026Rikui Huang, Shengzhe Zhang, Wei WeiTemporal Knowledge Graphs Information Retrieval Metrics
LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving
May 13, 2026Guoxiong Gao, Zeming Sun, Jiedong Jiang +5Theorem Retrieval Strategies
F-GRPO: Factorized Group-Relative Policy Optimization for Unified Candidate Generation and Ranking
May 13, 2026Rohan Surana, Gagan Mundada, Junda Wu +9Reranking Group Relative Policy Optimization
ORBIT: Preserving Foundational Language Capabilities in GenRetrieval via Origin-Regulated Merging
May 12, 2026Neha Verma, Nikhil Mehta, Shao-Chuan Wang +7Large Language Model Fine-Tuning Catastrophic Forgetting
Caraman at SemEval-2026 Task 8: Three-Stage Multi-Turn Retrieval with Query Rewriting, Hybrid Search, and Cross-Encoder Reranking
May 12, 2026David-Maximilian Caraman, Gheorghe Cosmin SilaghiRetrievers Domain-Specific Language
Rethinking Agentic Search with Pi-Serini: Is Lexical Retrieval Sufficient?
May 11, 2026Tz-Huan Hsu, Jheng-Hong Yang, Jimmy LinAgentic Search Retrievers
Interpretable Coreference Resolution Evaluation Using Explicit Semantics
May 11, 2026Bruno Gatti, Giuliano Martinelli, Roberto NavigliCoreference Resolution Human Grounded Evaluation
Hystar: Hypernetwork-driven Style-adaptive Retrieval via Dynamic SVD Modulation
May 11, 2026Yujia Cai, Boxuan Li, Chenghao Xu +1Large Vision Language Models Retrievers
Re $^2$ Math: Benchmarking Theorem Retrieval in Research-Level Mathematics
May 9, 2026Zicheng Lyu, Wenjie Yang, Shengzhong Zhang +1Mathematical Reasoning Mathematics
PYTHALAB-MERA: Validation-Grounded Memory, Retrieval, and Acceptance Control for Frozen-LLM Coding Agents
May 8, 2026Mehmet IscanCode Generation Episodic Experiences
Context-Gated Associative Retrieval: From Theory to Transformers
May 8, 2026Moulik Choraria, Argyrios Gerogiannis, Vidhata Jayaraman +2Dense Associative Memory In-Context Learning
GRACE-RAG: Governed Retrieval Architecture for Canonical Evidence Synthesis, Enabling Lightweight Deployment in Closed-Domain Institutional Settings
May 8, 2026Asit Desai, Aman Kumar, Prashant DevadigaHievi-Rag Retrieval Layer
Do not copy and paste! Rewriting strategies for code retrieval
May 8, 2026Andrea Gurioli, Federico Pennino, Maurizio GabbrielliRewrite Retrieval Task
PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption
May 8, 2026Xue Tan, Yi Zheng, Chang Huo +7Retrieval-Augmented Generation Systems Hievi-Rag
LARAG: Link-Aware Retrieval Strategy for RAG Systems in Hyperlinked Technical Documentation
May 8, 2026Giorgia Bolognesi, Claudio Estatico, Ulderico Fugacci +3Hievi-Rag Retrieval-Augmented Generation Systems
DiffRetriever: Parallel Representative Tokens for Retrieval with Diffusion Language Models
May 8, 2026Shuai Wang, Yu Yin, Shengyao Zhuang +2Diffusion Language Models Retrievers
Echo: KV-Cache-Free Associative Recall with Spectral Koopman Operators
May 7, 2026Anupama Sridhar, Alexander JohansenKv-Cache Blocks Retrievers
MINER: Mining Multimodal Internal Representation for Efficient Retrieval
May 7, 2026Weien Li, Rui Song, Zeyu Li +8Retrieval Layer Multimodal Retrieval
OBLIQ-Bench: Exposing Overlooked Bottlenecks in Modern Retrievers with Latent and Implicit Queries
May 7, 2026Diane Tchuindjo, Devavrat Shah, Omar KhattabRetrievers Search Algorithms
Sheet as Token: A Graph-Enhanced Representation for Multi-Sheet Spreadsheet Understanding
May 7, 2026Yiming Lei, Yiqi Wang, Yujia Zhang +5Spreadsheets Multimodal Documents
Text-to-CAD Retrieval: a Strong Baseline
May 7, 2026Honghu Pan, Zibo Du, Daxiang Liu +2Text-To-Cad Computer-Aided Design
Privacy Without Losing Place: A Paradigm for Private Retrieval in Spatial RAGs
May 6, 2026Kennedy Edemacu, Mohammad Mahdi Shokri, Vinay M. Shashidhar +1AI Privacy Risks and Protection Retrieval Task
TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular Understanding
May 6, 2026Minjie Qiang, Mingming Zhang, Xiaoyi Bao +5Tabular Learning Tabular Data
Storage Is Not Memory: A Retrieval-Centered Architecture for Agent Recall
May 6, 2026Joshua Adler, Guy ZehaviAgent Memory Agentic Retrieval
Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems
May 5, 2026Yilun Zhao, Jinbiao Wei, Tingyu Song +3Agentic Retrieval Retrievers
An Agent-Oriented Pluggable Experience-RAG Skill for Experience-Driven Retrieval Strategy Orchestration
May 5, 2026Dutao Zhang, Tian LiaoAgentic Retrieval Hievi-Rag
PHALAR: Phasors for Learned Musical Audio Representations
May 5, 2026Davide Marincione, Michele Mancusi, Giorgio Strano +4Sheet Music Retrieval Task
Reproducing Complex Set-Compositional Information Retrieval
May 5, 2026Vincent Degenhart, Dewi Timman, Arjen P. de Vries +2Retrievers Shortcuts
Membership Inference Attacks for Retrieval Based In-Context Learning for Document Question Answering
May 5, 2026Tejas Kulkarni, Antti Koskela, Laith ZumotMembership Inference Attacks In-Context Learning
Benchmarking Retrieval Strategies for Biomedical Retrieval-Augmented Generation: A Controlled Empirical Study
May 4, 2026Devi Prasad Bal, Subhashree PuhanInformation Retrieval Metrics Retrieval Strategies
FitText: Evolving Agent Tool Ecologies via Memetic Retrieval
May 4, 2026Kyle Zheng, Han Zhang, Renliang Sun +2Agentic Retrieval Multi-Turn Tool-Use Agent
Retrieval with Multiple Query Vectors through Anomalous Pattern Detection
May 3, 2026Allassan Tchangmena A Nken, Baimam Boukar Jean Jacques, Miriam Rateike +2Vector Database Retrieval Layer
HoReN: Normalized Hopfield Retrieval for Large-Scale Sequential Model Editing
May 2, 2026Yuan Fang, Yi Xie, Xuming RanMultimodal Knowledge Editing Encoding Models
MAP-Law: Coverage-Driven Retrieval Control for Multi-Turn Legal Consultation
May 2, 2026Qinchuan Cheng, Jiaqi Liu, Ruixuan Xie +2Legal Domain Retrieval Strategies
The Pre-Training Study of Expanded-SPLADE Models on Web Document Titles
May 2, 2026Hiun Kim, Tae Kwan Lee, Taeryun WonLarge Language Model Pretraining Model Pretraining
Geometric and dynamical analysis of attractor boundaries and storage limits in kernel Hopfield networks
May 1, 2026Akira TamamoriHopfield Networks Attractors
Efficient Multivector Retrieval with Token-Aware Clustering and Hierarchical Indexing
Apr 30, 2026Silvio Martinico, Franco Maria Nardini, Cosimo Rulli +1Retrieval Layer K-Means
EviMem: Evidence-Gap-Driven Iterative Retrieval for Long-Term Conversational Memory
Apr 30, 2026Yuyang Li, Yime He, Zeyu Zhang +1Long-Term Conversational Memory Retrievers

May 26, 2026 · cs.CLJ/K move · Enter open · S save

GraphReview: Scientific Paper Evaluation via LLM-Based Graph Message Passing

Pujun Zheng, Wanying Ren, Jiacheng Yao, Guoxiu He+1

Scientific paper evaluation often involves not only assessing a manuscript itself, but also relating it to contemporaneous research and prior literature. However, existing LLM-based methods typically model these signals separately and lack a unified mechanism for propagating review evidence across papers. We propose

\textbf{GraphReview}

, a graph-based LLM framework that formulates paper evaluation as review-signal message passing over a semantic paper graph. The graph jointly captures intrinsic quality, synchronic links among contemporaneous papers, and diachronic links to prior work. LLMs are used to estimate node-level quality priors and generate edge-level comparative evidence through pairwise paper comparisons, while Personalized PageRank integrates review signals for quality ranking, decision prediction, and review generation. To produce higher-quality graph evidence, we propose reward-induced maximum likelihood objectives for training the LLM backbones. Experiments show that GraphReview consistently outperforms the strongest baseline, achieving average improvements of 29.7% on decision and ranking metrics, including gains of 23.7% in Accuracy and 57.6% in Spearman's

ρ

. It also produces higher-quality review texts and generalizes effectively across time periods and conference venues. The code is available at https://github.com/ECNU-Text-Computing/GraphReview.

Peer Review Information Retrieval Metrics Large Language Model Evaluation Graph Representations Message Passing Neural Networks

Open paper Ask about it PDF