{"total":125,"rows":[{"id":"2506.05176","title":"Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models","created":"2025-06-05","cited_by_count":1261,"area":null},{"id":"2601.04720","title":"Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking","created":"2026-01-08","cited_by_count":230,"area":null},{"id":"2509.20354","title":"EmbeddingGemma: Powerful and Lightweight Text Representations","created":"2025-09-24","cited_by_count":139,"area":null},{"id":"2508.21038","title":"On the Theoretical Limitations of Embedding-Based Retrieval","created":"2025-08-28","cited_by_count":104,"area":null},{"id":"2503.07891","title":"Gemini Embedding: Generalizable Embeddings from Gemini","created":"2025-03-10","cited_by_count":94,"area":null},{"id":"2504.20595","title":"ReasonIR: Training Retrievers for Reasoning Tasks","created":"2025-04-29","cited_by_count":77,"area":"lr"},{"id":"2506.18902","title":"jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval","created":"2025-06-23","cited_by_count":76,"area":null},{"id":"2502.18418","title":"Rank1: Test-Time Compute for Reranking in Information Retrieval","created":"2025-02-25","cited_by_count":70,"area":"lr"},{"id":"2509.06888","title":"mmBERT: A Modern Multilingual Encoder with Annealed Language Learning","created":"2025-09-08","cited_by_count":45,"area":null},{"id":"2507.16076","title":"The Prompt Makes the Person(a): A Systematic Evaluation of Sociodemographic Persona Prompting for Large Language Models","created":"2025-07-21","cited_by_count":42,"area":null},{"id":"2507.11412","title":"Seq vs Seq: An Open Suite of Paired Encoders and Decoders","created":"2025-07-15","cited_by_count":38,"area":null},{"id":"2506.20923","title":"KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding Model","created":"2025-06-26","cited_by_count":36,"area":null},{"id":"2505.14432","title":"Rank-K: Test-Time Reasoning for Listwise Reranking","created":"2025-05-20","cited_by_count":29,"area":"lr"},{"id":"2602.15547","title":"jina-embeddings-v5-text: Task-Targeted Embedding Distillation","created":"2026-02-17","cited_by_count":22,"area":null},{"id":"2510.01149","title":"ModernVBERT: Towards Smaller Visual Document Retrievers","created":"2025-10-01","cited_by_count":21,"area":"rag"},{"id":"2504.14891","title":"Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey","created":"2025-04-21","cited_by_count":20,"area":"rag"},{"id":"2606.30410","title":"Beyond IID: How General Are Tabular Foundation Models, Really?","created":"2026-06-29","cited_by_count":20,"area":null},{"id":"2502.18460","title":"DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers","created":"2025-02-25","cited_by_count":19,"area":null},{"id":"2507.00994","title":"Should We Still Pretrain Encoders with Masked Language Modeling?","created":"2025-07-01","cited_by_count":16,"area":null},{"id":"2510.08252","title":"ReasonEmbed: Enhanced Text Embeddings for Reasoning-Intensive Document Retrieval","created":"2025-10-09","cited_by_count":16,"area":null},{"id":"2508.21290","title":"Efficient Code Embeddings from Code Generation Models","created":"2025-08-29","cited_by_count":13,"area":null},{"id":"2603.19223","title":"F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World","created":"2026-03-19","cited_by_count":12,"area":null},{"id":"2512.01948","title":"How Far Are We from Genuinely Useful Deep Research Agents?","created":"2025-12-01","cited_by_count":11,"area":"agents"},{"id":"2506.08354","title":"Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning","created":"2025-06-10","cited_by_count":10,"area":null},{"id":"2509.24291","title":"Let LLMs Speak Embedding Languages: Generative Text Embeddings via Iterative Contrastive Refinement","created":"2025-09-29","cited_by_count":10,"area":null},{"id":"2605.27295","title":"Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini","created":"2026-05-26","cited_by_count":10,"area":null},{"id":"2510.00671","title":"Milco: Learned Sparse Retrieval Across Languages via a Multilingual Connector","created":"2025-10-01","cited_by_count":9,"area":null},{"id":"2602.11151","title":"Diffusion-Pretrained Dense and Contextual Embeddings","created":"2026-02-11","cited_by_count":9,"area":null},{"id":"2510.02294","title":"F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data","created":"2025-10-02","cited_by_count":8,"area":null},{"id":"2602.19961","title":"Unlocking Multimodal Document Intelligence: From Current Triumphs to Future Frontiers of Visual Document Retrieval","created":"2026-02-23","cited_by_count":8,"area":null},{"id":"2505.16216","title":"Memorization or Reasoning? Exploring the Idiom Understanding of LLMs","created":"2025-05-22","cited_by_count":7,"area":"lr"},{"id":"2603.12572","title":"LMEB: Long-horizon Memory Embedding Benchmark","created":"2026-03-13","cited_by_count":7,"area":null},{"id":"2505.15585","title":"MIRB: Mathematical Information Retrieval Benchmark","created":"2025-05-21","cited_by_count":6,"area":null},{"id":"2603.05637","title":"Real Faults in Model Context Protocol (MCP) Software: a Comprehensive Taxonomy","created":"2026-03-05","cited_by_count":6,"area":"agents"},{"id":"2509.12340","title":"MTEB-NL and E5-NL: Embedding Benchmark and Models for Dutch","created":"2025-09-15","cited_by_count":5,"area":null},{"id":"2601.12186","title":"Aletheia: What Makes RLVR For Code Verifiers Tick?","created":"2026-01-17","cited_by_count":5,"area":null},{"id":"2509.12539","title":"LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations","created":"2025-09-16","cited_by_count":4,"area":"distill"},{"id":"2510.07414","title":"Haystack Engineering: Context Engineering for Heterogeneous and Agentic Long-Context Evaluation","created":"2025-10-08","cited_by_count":4,"area":"agents"},{"id":"2605.12292","title":"STRABLE: Benchmarking Tabular Machine Learning with Strings","created":"2026-05-12","cited_by_count":4,"area":null},{"id":"2506.07438","title":"LGAI-EMBEDDING-Preview Technical Report","created":"2025-06-09","cited_by_count":3,"area":null},{"id":"2507.20783","title":"On The Role of Pretrained Language Models in General-Purpose Text Embeddings: A Survey","created":"2025-07-28","cited_by_count":3,"area":null},{"id":"2508.02271","title":"Dynaword: From One-shot to Continuously Developed Datasets","created":"2025-08-04","cited_by_count":3,"area":null},{"id":"2510.06730","title":"PTEB: Towards Robust Text Embedding Evaluation via Stochastic Paraphrasing at Evaluation Time with LLMs","created":"2025-10-08","cited_by_count":3,"area":null},{"id":"2510.23896","title":"AfriMTEB and AfriE5: Benchmarking and Adapting Text Embedding Models for African Languages","created":"2025-10-27","cited_by_count":3,"area":"rag"},{"id":"2512.21332","title":"C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling","created":"2025-12-24","cited_by_count":3,"area":null},{"id":"2602.01572","title":"LLM-based Embeddings: Attention Values Encode Sentence Semantics Better Than Hidden States","created":"2026-02-02","cited_by_count":3,"area":null},{"id":"2604.05821","title":"CLEAR: Cross-Lingual Enhancement in Alignment via Reverse-training","created":"2026-04-07","cited_by_count":3,"area":null},{"id":"2605.22544","title":"One prompt is not enough: Instruction Sensitivity Undermines Embedding Model Evaluation","created":"2026-05-21","cited_by_count":3,"area":null},{"id":"2605.23033","title":"Uncovering the Latent Potential of Deep Intermediate Representations","created":"2026-05-21","cited_by_count":3,"area":null},{"id":"2606.29914","title":"MemDelta: Controlled Baselines and Hidden Confounds in Agent Memory Evaluation","created":"2026-06-29","cited_by_count":3,"area":"agents"},{"id":"2504.00163","title":"Does \"Reasoning\" with Large Language Models Improve Recognizing, Generating, and Reframing Unhelpful Thoughts?","created":"2025-03-31","cited_by_count":2,"area":"lr"},{"id":"2505.14101","title":"MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations","created":"2025-05-20","cited_by_count":2,"area":null},{"id":"2509.05691","title":"Revealing the Numeracy Gap: An Empirical Investigation of Text Embedding Models","created":"2025-09-06","cited_by_count":2,"area":null},{"id":"2510.13406","title":"When Embedding Models Meet: Procrustes Bounds and Applications","created":"2025-10-15","cited_by_count":2,"area":null},{"id":"2601.08363","title":"PosIR: Position-Aware Heterogeneous Information Retrieval Benchmark","created":"2026-01-13","cited_by_count":2,"area":null},{"id":"2602.09373","title":"AfriNLLB: Efficient Translation Models for African Languages","created":"2026-02-10","cited_by_count":2,"area":null},{"id":"2604.01733","title":"From BM25 to Corrective RAG: Benchmarking Retrieval Strategies for Text-and-Table Documents","created":"2026-04-02","cited_by_count":2,"area":"rag"},{"id":"2604.03420","title":"Zero-Shot Quantization via Weight-Space Arithmetic","created":"2026-04-03","cited_by_count":2,"area":null},{"id":"2604.27398","title":"Why Mean Pooling Works: Quantifying Second-Order Collapse in Text Embeddings","created":"2026-04-30","cited_by_count":2,"area":null},{"id":"2605.31142","title":"On the Robustness of Multilingual Text Embedding Rankings Across Learning Tasks, Languages, and Benchmark Datasets","created":"2026-05-29","cited_by_count":2,"area":null},{"id":"2503.09011","title":"Word2winners at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval","created":"2025-03-12","cited_by_count":1,"area":null},{"id":"2505.22118","title":"Multilingual vs Crosslingual Retrieval of Fact-Checked Claims: A Tale of Two Approaches","created":"2025-05-28","cited_by_count":1,"area":null},{"id":"2507.22729","title":"Resource-Efficient Adaptation of Large Language Models for Text Embeddings via Prompt Engineering and Contrastive Fine-tuning","created":"2025-07-30","cited_by_count":1,"area":null},{"id":"2511.11041","title":"Correcting Mean Bias in Text Embeddings: A Refined Renormalization with Training-Free Improvements on MMTEB","created":"2025-11-14","cited_by_count":1,"area":null},{"id":"2511.19324","title":"What Drives Cross-lingual Ranking? Retrieval Approaches with Multilingual Language Models","created":"2025-11-24","cited_by_count":1,"area":null},{"id":"2512.18321","title":"CTTA-T: Continual Test-Time Adaptation for Text Understanding via Teacher-Student with a Domain-aware and Generalized Teacher","created":"2025-12-20","cited_by_count":1,"area":"distill"},{"id":"2601.21525","title":"LMK > CLS: Landmark Pooling for Dense Embeddings","created":"2026-01-29","cited_by_count":1,"area":null},{"id":"2602.01689","title":"What LLMs Think When You Don't Tell Them What to Think About?","created":"2026-02-02","cited_by_count":1,"area":"lr"},{"id":"2603.11991","title":"BTZSC: A Benchmark for Zero-Shot Text Classification Across Cross-Encoders, Embedding Models, Rerankers and LLMs","created":"2026-03-12","cited_by_count":1,"area":null},{"id":"2603.29123","title":"Learning Concepts, Not Tokens: Self-Supervised Semantic Alignment for Language Models","created":"2026-03-31","cited_by_count":1,"area":"alignment"},{"id":"2604.11290","title":"Polyglot Teachers: Evaluating Language Models for Multilingual Synthetic Data Generation","created":"2026-04-13","cited_by_count":1,"area":"synth"},{"id":"2605.28190","title":"The Harder Text Embedding Benchmark (HTEB): Beyond One-dimensional Static Robustness","created":"2026-05-27","cited_by_count":1,"area":null},{"id":"2607.04071","title":"Beyond Multilingual Averages: MTEB-PT, a Benchmark for Portuguese Sentence Encoders","created":"2026-07-05","cited_by_count":1,"area":null},{"id":"2506.01254","title":"Memory-Efficient FastText: A Comprehensive Approach Using Double-Array Trie Structures and Mark-Compact Memory Management","created":"2025-06-02","cited_by_count":0,"area":null},{"id":"2509.23340","title":"CrediBench: Building Web-Scale Network Datasets for Information Integrity","created":"2025-09-27","cited_by_count":0,"area":null},{"id":"2510.01178","title":"COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier","created":"2025-10-01","cited_by_count":0,"area":null},{"id":"2510.08774","title":"Struc-EMB: The Potential of Structure-Aware Encoding in Language Embeddings","created":"2025-10-09","cited_by_count":0,"area":null},{"id":"2510.14274","title":"Retrofitting Small Multilingual Models for Retrieval: Matching 7B Performance with 300M Parameters","created":"2025-10-16","cited_by_count":0,"area":null},{"id":"2510.14466","title":"Toward Robust Multilingual Adaptation of LLMs for Low-Resource Languages","created":"2025-10-16","cited_by_count":0,"area":null},{"id":"2510.27004","title":"Mixture-of-Transformers Learn Faster: A Theoretical Study on Classification Problems","created":"2025-10-30","cited_by_count":0,"area":"moe"},{"id":"2512.08826","title":"CARLoS: Retrieval via Concise Assessment Representation of LoRAs at Scale","created":"2025-12-09","cited_by_count":0,"area":null},{"id":"2512.20298","title":"Patterns vs. Patients: Evaluating LLMs against Mental Health Professionals on Personality Disorder Diagnosis through First-Person Narratives","created":"2025-12-23","cited_by_count":0,"area":null},{"id":"2601.21192","title":"Do Reasoning Models Enhance Embedding Models?","created":"2026-01-29","cited_by_count":0,"area":"lr"},{"id":"2601.21465","title":"Topeax -- An Improved Clustering Topic Model with Density Peak Detection and Lexical-Semantic Term Importance","created":"2026-01-29","cited_by_count":0,"area":null},{"id":"2602.02287","title":"Cross-Lingual Stability of LLM Judges Under Controlled Generation: Evidence from Finno-Ugric Languages","created":"2026-02-02","cited_by_count":0,"area":null},{"id":"2602.17784","title":"QueryPlot: Generating Geological Evidence Layers using Natural Language Queries for Mineral Exploration","created":"2026-02-19","cited_by_count":0,"area":null},{"id":"2604.00706","title":"AfrIFact: Cultural Information Retrieval, Evidence Extraction and Fact Checking for African Languages","created":"2026-04-01","cited_by_count":0,"area":null},{"id":"2604.07095","title":"Multilingual Embedding Probes Fail to Generalize Across Learner Corpora","created":"2026-04-08","cited_by_count":0,"area":null},{"id":"2604.09812","title":"Claim2Vec: Embedding Fact-Check Claims for Multilingual Similarity and Clustering","created":"2026-04-10","cited_by_count":0,"area":null},{"id":"2604.15882","title":"JFinTEB: Japanese Financial Text Embedding Benchmark","created":"2026-04-17","cited_by_count":0,"area":null},{"id":"2604.20720","title":"COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling","created":"2026-04-22","cited_by_count":0,"area":null},{"id":"2604.20948","title":"Can Virtual Agents Care? Designing an Empathetic and Personalized LLM-Driven Conversational Agent","created":"2026-04-22","cited_by_count":0,"area":"agents"},{"id":"2604.25605","title":"Health System Scale Semantic Search Across Unstructured Clinical Notes","created":"2026-04-28","cited_by_count":0,"area":null},{"id":"2605.10339","title":"An Annotation Scheme and Classifier for Personal Facts in Dialogue","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2605.14188","title":"QOuLiPo: What a quantum computer sees when it reads a book","created":"2026-05-13","cited_by_count":0,"area":null},{"id":"2605.15081","title":"ML-Embed: Inclusive and Efficient Embeddings for a Multilingual World","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2605.23420","title":"Naturalistic measure of social norms alignment","created":"2026-05-22","cited_by_count":0,"area":null},{"id":"2605.25030","title":"MimirRAG: A Multi-Agent RAG Framework for Financial Data Retrieval with Metadata Integration","created":"2026-05-24","cited_by_count":0,"area":"rag"},{"id":"2605.27168","title":"Grounding Text Embeddings in Stakeholder Associations","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2605.27444","title":"A Systematic Evaluation of Retrieval-Augmented Generation and Language Models for Space Operations","created":"2026-05-23","cited_by_count":0,"area":"rag"}],"next_cursor":"100"}