Retrievers

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Do LLM Attribution Metrics Transfer? Auditing Retrieval-Augmented Generation Evaluation Across Datasets and Constructs
Jun 22, 2026Tianyu Ding, Aditya Nannapaneni, Juan Pablo De la Cruz WeinsteinLarge Language Model Evaluation Information Retrieval Metrics
HAKARI-Bench: A Lightweight Benchmark for Comparing Retrieval Architectures and Efficiency Settings under Unified Conditions
Jun 22, 2026Yuichi TatenoInformation Retrieval Metrics Programbench
When Does Overlap Help? OSU-Mem and a Cell-Conditional Analysis of Trajectory Memory for LLM Agents
Jun 19, 2026Mellow Baixuan Chen, Xiangguo SunLarge Language Model Agents Retrieval Layer
Aligning Sentence Embeddings to Human Concepts via Sparse Autoencoders
Jun 19, 2026Wonseok Shin, Songkuk KimRetrieval Layer Improving Sparse Autoencoders
ScholarQuest: A Taxonomy-Guided Benchmark for Agentic Academic Paper Search in Open Literature Environments
Jun 18, 2026Tingyue Pan, Mingyue Cheng, Daoyu Wang +4Information Retrieval Metrics Academic Papers
Policy-aware Vector Search: A Vision for Fine Grained Access Control in Vector Databases
Jun 18, 2026Lakshmi Sahithi Yalamarthi, Primal PappachanVector Database Retrieval Layer
Rescaling MLM-Head for Neural Sparse Retrieval
Jun 17, 2026Youngjoon Jang, Seongtae Hong, Jonah Turner +1Retrieval Layer Large Language Model Backbones
Lost in a Single Vector: Improving Long-Document Retrieval with Chunk Evidence Aggregation
Jun 17, 2026Shanshan Lyu, Yiwei Wang, Yujun Cai +2Retrieval Layer Vector Database
Non-negative Elastic Net Decoding for Information Retrieval
Jun 16, 2026Koki Okajima, Yasutoshi Ida, Tsukasa Yoshida +1Retrieval Layer Modality-Specific Encoders
Temporal Preference Optimization for Unsupervised Retrieval
Jun 16, 2026HyunJin Kim, Jaejun Shim, Young Jin Kim +1Retrieval Layer Retrievers
Offline Preference-Based Trajectory Evaluation
Jun 16, 2026Fernando DiazInformation Retrieval Metrics Agentic Systems
Scaling Enterprise Agent Routing: Degradation, Diagnosis, and Recovery
Jun 16, 2026Kellen Gillespie, Robyn PerryLarge Language Model Routing Retrieval Strategies
Benchmarking LLM Agents on Meta-Analysis Articles from Nature Portfolio
Jun 15, 2026Anzhe Xie, Weihang Su, Yujia Zhou +2Systematic Review Information Retrieval Metrics
Conversational Query Engine for Mixed-Modality Heterogeneous Enterprise Data Sources
Jun 15, 2026Darshita Rathore, Vineet Kumar, Vaibhav Singal +2Natural Language Queries Text-To-Sql
Beyond Monolingual Deep Research: Evaluating Agents and Retrievers with Cross-Lingual BrowseComp-Plus
Jun 13, 2026Yuheng Lu, Qingcheng Zeng, Heli Qi +6Agentic Search Retrievers
ScoreGate: Adaptive Chunk Selection for Retrieval-Augmented Generation via Dual-Score Statistical Fusion
Jun 12, 2026Karamvir Singh, Arvind JainRetrievers Reranking
When Does Mixing Help? Analyzing Query Embedding Interpolation in Multilingual Dense Retrieval
Jun 11, 2026Tongyao Zhu, Chao-Ming Huang, Min-Yen KanRetrievers Interpolation
Rethinking RAG in Long Videos: What to Retrieve and How to Use It?
Jun 11, 2026Yuho Lee, Jisu Shin, Nicole Hee-Yeon Kim +5Videos Retrievers
Findings of the MAGMaR 2026 Shared Task
Jun 10, 2026Alexander Martin, Dengjia Zhang, Joel Brogan +7Multimodal Retrieval Multimodal Generation
The Voronoi Bottleneck: Capacity-Aware Dense Retrieval for Product Search
Jun 9, 2026Charith Chandra Sai Balne, Rithwik Maramraju, Siddharth Pratap Singh +4Retrieval Layer Relevance
When More Documents Hurt RAG: Mitigating Vector Search Dilution with Domain-Scoped, Model-Agnostic Retrieval
Jun 9, 2026Nabaraj Subedi, Ahmed Abdelaty, Shivanand Venkanna SheshappanavarVector Database Retrieval Layer
STORM: Stepwise Token Optimization with Reward-Guided Beam Search
Jun 9, 2026Arthur Satouf, Giulio D'Erasmo, Yuxuan Zong +3Retrieval Layer Beam Search
When Metrics Disagree: A Meta-Analysis of Knowledge-Graph-Completion Model Benchmarking
Jun 9, 2026Haji Gul, Ajaz Ahmad BhatKnowledge Graph Completion Information Retrieval Metrics
Difference-Aware Retrieval Policies for Imitation Learning
Jun 8, 2026Quinn Pfeifer, Ethan Pronovost, Paarth Shah +3Imitation Learning Behavior Cloning
PROBE-Web: An Interactive System for Probing Evaluation Landscapes of Knowledge Graph Completion Models
Jun 8, 2026Sooho Moon, Yunyong KoKnowledge Graph Completion Information Retrieval Metrics
Generalized Rank-based Evaluation for Knowledge Graph Completion: Perspectives, Framework, and Analyses
Jun 8, 2026Sooho Moon, Jian Kang, Yunyong KoKnowledge Graph Completion Information Retrieval Metrics
Meaning in Order, Order in Meaning: Semantic R-precision for Keyphrase Evaluation
Jun 5, 2026Shamira Venturini, Steffen KinkelInformation Retrieval Metrics Evaluation Metrics
Sifei at SemEval-2026 Task 8: Hybrid Retrieval and Query Rewriting for Multi-Turn RAG
Jun 5, 2026Sifei Meng, Dmitry IlvovskyRetrieval-Augmented Generation Systems Retrievers
Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs
Jun 4, 2026Grama ChethanGraph-Based Retrieval Augmented Generation Knowledge Graphs
Agent-Orchestrated Adaptive RAG: A Comparative Study on Structured and Multi-Hop Retrieval
Jun 4, 2026Anuj Maharjan, Devinder Kaur, Richard MolyetRetrievers
ColBERTSaR: Sparsified ColBERT Index via Product Quantization
Jun 4, 2026Eugene Yang, Andrew Yates, Dawn Lawrie +3Retrieval Layer Sparsity
LLM-Guided ANN Index Optimization for Human-Object Interaction Retrieval
Jun 3, 2026Shahrzad Esmat, Chaunte W. Lacewell, Sameh Gobriel +2Retrievers Hyperparameter Optimization
Distributional Approximate Nearest Neighbour Search for Uncertainty-Aware Retrieval
Jun 3, 2026Olivier JeunenRetrieval Layer Approximate Nearest-Neighbor Search
RowNet: A Memory Transformer for Tabular Regression
Jun 3, 2026Askat Rakhymbekov, Gulshat MuhametjanovaTabular Learning Retrieval Layer
Training-Free Lexical-Dense Fusion for Conversational-Memory Retrieval
Jun 2, 2026Christian LysenstøenLong-Term Conversational Memory Retrieval Task
TriEval: A Resource-Efficient Pipeline for LLM Bias, Toxicity, and Truthfulness Assessment
Jun 2, 2026Akshatha Srikantha, Manpreet Singh, Yash Jajoo +1Large Language Model Evaluation Large Language Model Bias
Do Neural Retrievers Prefer Certain Documents? Evidence of Learned Relevance Priors
Jun 1, 2026Francisco Valentini, Edgar Altszyler, Martin FajcikRetrieval Layer Retrievers
Attention Calibration for Position-Fair Dense Retrieval
Jun 1, 2026Andrianos Michail, Elias Schuhmacher, Juri Opitz +2Retrieval Layer Implicit Bias
RCEM: Robust Conversational Search EMbedder in Distributional Shift
Jun 1, 2026Kilho Son, Paul Hsu, Cha Zhang +1Retrievers Relevance
Test-Time Training for Zero-Resource Dense Retrieval Reranking
May 31, 2026Shiyan Liu, Yichen LiRetrieval Layer Reranking
RWGBench: Evaluating Scholarly Positioning in Related Work Generation
May 30, 2026Anzhe Xie, Weihang Su, Jiaxin Mao +4Citations Information Retrieval Metrics
Critic-R: Improving Agentic Search using Instruction-tuned Retrievers with Natural Language Introspective Feedback
May 30, 2026Md Zarif Ul Alam, Alireza Salemi, Hamed ZamaniAgentic Search Retrievers
SPECTRA: Synthetic IR Test Collections with Relevance Oracles and Controlled Distractor Diagnostics
May 29, 2026Eric LiangInformation Retrieval Metrics Text Corpora
On the Robustness of Multilingual Text Embedding Rankings Across Learning Tasks, Languages, and Benchmark Datasets
May 29, 2026Ana Gjorgjevikj, Barbara Koroušić Seljak, Tome EftimovDomain-Invariant Text Embeddings Multilingual
UniRTL: Unifying Code and Graph for Robust RTL Representation Learning
May 29, 2026Yi Liu, Hongji Zhang, Lei Chen +2Flexible Register Transfer Level Design Automation Register Transfer Level
On the impact of retrieved content representations in RAG Pipelines
May 29, 2026Jonathan J Ross, Bevan Koopman, Anton van der Vegt +1Retrieval Task Large Language Model Responses
Efficient Test-Time Finetuning of LLMs via Convex Reconstruction and Gradient Caching
May 28, 2026Alaa Khamis, Alaa MaaloufFinetuning Test Time
No More K-means: Single-Stage Sparse Coding for Efficient Multi-Vector Retrieval
May 28, 2026Lixuan Guo, Yifei Wang, Tiansheng Wen +3Retrieval Layer K-Means
From Blind Guess to Informed Judgment: Teaching LLMs to Evaluate Materials by Building Knowledge-Augmented Preference Signals
May 28, 2026Yeyong Yu, Wenya Hu, Xing Wu +1Data-Driven Materials Discovery Large Language Model Evaluation
Xetrieval: Mechanistically Explaining Dense Retrieval
May 28, 2026Zhixin Cai, Jun Bai, Yang Liu +7Retrieval Layer Global Embeddings
Learning User-Aware Recall: Personalized Retrieval in Long-Term Conversational Memory
May 28, 2026ZhiShu Jiang, Haibo Liu, Xin Shen +6Long-Term Conversational Memory Retrieval Strategies
When Does Persona Prompting Actually Help? A Retrieval and Metric Analysis of Expert Role Injection in LLMs
May 28, 2026Shuai Xiao, Su Liu, Weikai Zhou +4Persona Large Language Model Responses
Latent Terms: Dense Retrievers Contain Trivially Extractable BM25-ready Zipfian Vocabularies
May 28, 2026Benjamin Clavié, Sean Lee, Aamir Shakir +1Retrieval Layer Retrievers
OmniRetrieval: Unified Retrieval across Heterogeneous Knowledge Sources
May 28, 2026Jinheon Baek, Soyeong Jeong, Sangwoo Park +5Retrieval Strategies Retrieval Task
Rethinking Literature Search Evaluation: Deep Research Helps, and Human Citation Lists Are Not a Ground Truth
May 28, 2026Gaurav Sahu, Laurent Charlin, Christopher PalCitations Information Retrieval Metrics
Plan Before Search: Search Agents Need Plan
May 27, 2026Zhipeng Qian, Zihan Liang, Yufei Ma +7Large Language Model Planning Search Agents
Relevant Is Not Warranted: Evidence-Force Calibration for Cited RAG
May 27, 2026Pin Qian, Su Wang, Xiaoyuan Wang +7Citations Information Retrieval Metrics
DiagramRAG: A Lightweight Framework to Retrieve Scientific Diagram for Figure Generation
May 27, 2026Xinjiang Yu, Junyi Han, Zhuofan Chen +7Diagrams Sketches
A Fixed-Budget, Cluster-Aware Standard for LLM-as-a-Judge Evaluation: A Multi-Hop RAG Stress Test
May 27, 2026Camilo Chacón Sartori, José H. GarcíaLlm-As-A-Judge Information Retrieval Metrics
Simorgh at SemEval-2026 task 7: Region-Aware Hybrid Retrieval for Low-Resource Cultural Reasoning in Multilingual Question Answering
May 26, 2026Hadi Bayrami Asl Tekanlou, Mahdi Bakhtiyarzadeh, Jafar RazmaraMultilingual Financial Question Answering Cross-Lingual Consistency

Jun 22, 2026 · cs.CLJ/K move · Enter open · S save

Do LLM Attribution Metrics Transfer? Auditing Retrieval-Augmented Generation Evaluation Across Datasets and Constructs

Tianyu Ding, Aditya Nannapaneni, Juan Pablo De la Cruz Weinstein

Amazon Web Services

Practice often treats automatic metrics for attribution in LLM retrieval-augmented generation as interchangeable. We audit eight automatic scorers -- lexical, embedding, and BERTScore baselines alongside entailment/grounding-trained models (clean and FEVER NLI, the checker MiniCheck) -- across three evaluation constructs (provenance/topicality, generated-answer attribution, and fact-check entailment), asking whether any scorer transfers: stays within the 95% confidence interval of the best audited scorer on every dataset of a multi-dataset construct. In the construct with the most multi-dataset human-labeled coverage -- generated-answer attribution (AttributionBench's four source datasets, n = 1,610, with independent HAGRID, n = 2,150) -- none of the audited automatic scorers does: the per-dataset metric rankings invert (Kendall tau = -0.64, p = 0.031 on AttributedQA vs. LFQA), and an off-the-shelf NLI scorer that is best on short-claim AttributedQA (AUROC 0.90) collapses to AUROC 0.53 (chance) on long-form LFQA, where BERTScore wins (0.91); the reversal persists under the tested truncation settings. This instability has a concrete decision cost: a naive "best-on-average" rule for choosing an evaluator fails leave-one-dataset-out (mean held-out regret 0.172 AUROC, worse than fixing one scorer), so metric choice should be validated on the target dataset rather than assumed from performance elsewhere. A prompt-based LLM judge avoids the chance-level collapses the automatic scorers suffer (no LFQA collapse) but is not uniformly best, ~100x costlier, and non-deterministic -- relocating, not removing, the validation burden.

Large Language Model Evaluation Information Retrieval Metrics Visual Attribution Algorithm Auditing

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