{"total":632,"rows":[{"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":"2509.02534","title":"Jointly Reinforcing Diversity and Quality in Language Model Generations","created":"2025-09-02","cited_by_count":80,"area":null},{"id":"2510.17281","title":"MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems","created":"2025-10-20","cited_by_count":61,"area":null},{"id":"2603.04448","title":"SkillNet: Create, Evaluate, and Connect AI Skills","created":"2026-02-26","cited_by_count":53,"area":null},{"id":"2511.07025","title":"Llama-Embed-Nemotron-8B: A Universal Text Embedding Model for Multilingual and Cross-Lingual Tasks","created":"2025-11-10","cited_by_count":51,"area":null},{"id":"2511.21689","title":"ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration","created":"2025-11-26","cited_by_count":47,"area":null},{"id":"2509.18095","title":"MetaEmbed: Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction","created":"2025-09-22","cited_by_count":39,"area":null},{"id":"2603.04370","title":"$\\tau$-Knowledge: Evaluating Conversational Agents over Unstructured Knowledge","created":"2026-03-04","cited_by_count":39,"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":"2508.12631","title":"Beyond GPT-5: Making LLMs Cheaper and Better via Performance-Efficiency Optimized Routing","created":"2025-08-18","cited_by_count":34,"area":null},{"id":"2510.09719","title":"ICL-Router: In-Context Learned Model Representations for LLM Routing","created":"2025-10-10","cited_by_count":28,"area":null},{"id":"2510.13900","title":"Narrow Finetuning Leaves Clearly Readable Traces in Activation Differences","created":"2025-10-14","cited_by_count":28,"area":null},{"id":"2507.05513","title":"Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model","created":"2025-07-07","cited_by_count":27,"area":null},{"id":"2511.17803","title":"Pillar-0: A New Frontier for Radiology Foundation Models","created":"2025-11-21","cited_by_count":25,"area":null},{"id":"2604.17308","title":"SkillFlow:Benchmarking Lifelong Skill Discovery and Evolution for Autonomous Agents","created":"2026-04-19","cited_by_count":25,"area":null},{"id":"2509.25085","title":"jina-reranker-v3: Last but Not Late Interaction for Listwise Document Reranking","created":"2025-09-29","cited_by_count":24,"area":null},{"id":"2602.13530","title":"REMem: Reasoning with Episodic Memory in Language Agent","created":"2026-02-13","cited_by_count":23,"area":null},{"id":"2602.19672","title":"SkillOrchestra: Learning to Route Agents via Skill Transfer","created":"2026-02-23","cited_by_count":23,"area":null},{"id":"2602.15547","title":"jina-embeddings-v5-text: Task-Targeted Embedding Distillation","created":"2026-02-17","cited_by_count":22,"area":null},{"id":"2603.13285","title":"Brittlebench: Quantifying LLM robustness via prompt sensitivity","created":"2026-02-27","cited_by_count":21,"area":null},{"id":"2606.30410","title":"Beyond IID: How General Are Tabular Foundation Models, Really?","created":"2026-06-29","cited_by_count":20,"area":null},{"id":"2510.16282","title":"Instant Personalized Large Language Model Adaptation via Hypernetwork","created":"2025-10-18","cited_by_count":18,"area":null},{"id":"2601.04025","title":"Simulated Students in Tutoring Dialogues: Substance or Illusion?","created":"2026-01-07","cited_by_count":18,"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":"2607.13988","title":"TRACE: Turn-level Reward Assignment via Credit Estimation for Long-Horizon Agents","created":"2026-07-15","cited_by_count":16,"area":null},{"id":"2508.19843","title":"SoK: Large Language Model Copyright Auditing via Fingerprinting","created":"2025-08-27","cited_by_count":15,"area":null},{"id":"2603.01990","title":"According to Me: Long-Term Personalized Referential Memory QA","created":"2026-03-02","cited_by_count":14,"area":null},{"id":"2604.08256","title":"HyperMem: Hypergraph Memory for Long-Term Conversations","created":"2026-04-09","cited_by_count":14,"area":null},{"id":"2508.21290","title":"Efficient Code Embeddings from Code Generation Models","created":"2025-08-29","cited_by_count":13,"area":null},{"id":"2508.06811","title":"Anatomy of a Machine Learning Ecosystem: 2 Million Models on Hugging Face","created":"2025-08-09","cited_by_count":12,"area":null},{"id":"2510.05038","title":"Guided Query Refinement: Multimodal Hybrid Retrieval with Test-Time Optimization","created":"2025-10-06","cited_by_count":12,"area":null},{"id":"2512.10551","title":"LLM-Auction: Generative Auction towards LLM-Native Advertising","created":"2025-12-11","cited_by_count":12,"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":"2511.10192","title":"Text2SQL-Flow: A Robust SQL-Aware Data Augmentation Framework for Text-to-SQL","created":"2025-11-13","cited_by_count":11,"area":null},{"id":"2511.17592","title":"GigaEvo: An Open Source Optimization Framework Powered By LLMs And Evolution Algorithms","created":"2025-11-17","cited_by_count":11,"area":null},{"id":"2603.12152","title":"LifeSim: Long-Horizon User Life Simulator for Personalized Assistant Evaluation","created":"2026-03-12","cited_by_count":11,"area":null},{"id":"2603.14473","title":"AI Can Learn Scientific Taste","created":"2026-03-15","cited_by_count":11,"area":null},{"id":"2603.20882","title":"RubricRAG: Towards Interpretable and Reliable LLM Evaluation via Domain Knowledge Retrieval for Rubric Generation","created":"2026-03-21","cited_by_count":11,"area":null},{"id":"2508.15281","title":"MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation","created":"2025-08-21","cited_by_count":10,"area":null},{"id":"2510.12709","title":"SAIL-Embedding Technical Report: Omni-modal Embedding Foundation Model","created":"2025-10-14","cited_by_count":10,"area":null},{"id":"2601.04151","title":"Apollo: Unified Multi-Task Audio-Video Joint Generation","created":"2026-01-07","cited_by_count":10,"area":null},{"id":"2602.03478","title":"When Routing Collapses: On the Degenerate Convergence of LLM Routers","created":"2026-02-03","cited_by_count":10,"area":null},{"id":"2602.16110","title":"OmniCT: Towards a Unified Slice-Volume LVLM for Comprehensive CT Analysis","created":"2026-02-18","cited_by_count":10,"area":null},{"id":"2605.13137","title":"LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving","created":"2026-05-13","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":"2604.02605","title":"Do Audio-Visual Large Language Models Really See and Hear?","created":"2026-04-03","cited_by_count":9,"area":null},{"id":"2606.02461","title":"AgentCL: Toward Rigorous Evaluation of Continual Learning in Language Agents","created":"2026-06-01","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":"2510.23948","title":"ChessQA: Evaluating Large Language Models for Chess Understanding","created":"2025-10-28","cited_by_count":8,"area":null},{"id":"2512.14503","title":"RecGPT-V2 Technical Report","created":"2025-12-16","cited_by_count":8,"area":null},{"id":"2602.05216","title":"Semantic Search over 9 Million Mathematical Theorems","created":"2026-02-05","cited_by_count":8,"area":null},{"id":"2602.15313","title":"Mnemis: Dual-Route Retrieval on Hierarchical Graphs for Long-Term LLM Memory","created":"2026-02-17","cited_by_count":8,"area":null},{"id":"2605.06235","title":"OBLIQ-Bench: Exposing Overlooked Bottlenecks in Modern Retrievers with Latent and Implicit Queries","created":"2026-05-07","cited_by_count":8,"area":null},{"id":"2508.05242","title":"CodeBoost: Boosting Code LLMs by Squeezing Knowledge from Code Snippets with RL","created":"2025-08-07","cited_by_count":7,"area":null},{"id":"2509.22367","title":"What Is The Political Content in LLMs' Pre- and Post-Training Data?","created":"2025-09-26","cited_by_count":7,"area":null},{"id":"2509.25257","title":"RANGER -- Repository-Level Agent for Graph-Enhanced Retrieval","created":"2025-09-27","cited_by_count":7,"area":null},{"id":"2509.26378","title":"MR$^2$-Bench: Going Beyond Matching to Reasoning in Multimodal Retrieval","created":"2025-09-30","cited_by_count":7,"area":null},{"id":"2510.10062","title":"HUME: Measuring the Human-Model Performance Gap in Text Embedding Tasks","created":"2025-10-11","cited_by_count":7,"area":null},{"id":"2601.06633","title":"KASER: Knowledge-Aligned Student Error Simulator for Open-Ended Coding Tasks","created":"2026-01-10","cited_by_count":7,"area":null},{"id":"2602.21456","title":"Revisiting Text Ranking in Deep Research","created":"2026-02-25","cited_by_count":7,"area":null},{"id":"2603.12572","title":"LMEB: Long-horizon Memory Embedding Benchmark","created":"2026-03-13","cited_by_count":7,"area":null},{"id":"2607.21557","title":"OpenForgeRL: Train Harness-native Agents in Any Environment","created":"2026-07-23","cited_by_count":7,"area":null},{"id":"2507.20051","title":"$K^4$: Online Log Anomaly Detection Via Unsupervised Typicality Learning","created":"2025-07-26","cited_by_count":6,"area":null},{"id":"2510.12681","title":"CoRA: Covariate-Aware Adaptation of Time Series Foundation Models","created":"2025-10-14","cited_by_count":6,"area":null},{"id":"2510.13328","title":"Thompson Sampling via Fine-Tuning of LLMs","created":"2025-10-15","cited_by_count":6,"area":null},{"id":"2601.05192","title":"LELA: an LLM-based Entity Linking Approach with Zero-Shot Domain Adaptation","created":"2026-01-08","cited_by_count":6,"area":null},{"id":"2601.13024","title":"Tears or Cheers? Benchmarking LLMs via Culturally Elicited Distinct Affective Responses","created":"2026-01-19","cited_by_count":6,"area":null},{"id":"2602.05735","title":"CSRv2: Unlocking Ultra-Sparse Embeddings","created":"2026-02-05","cited_by_count":6,"area":null},{"id":"2603.03308","title":"Old Habits Die Hard: How Conversational History Geometrically Traps LLMs","created":"2026-02-08","cited_by_count":6,"area":null},{"id":"2605.07847","title":"Measuring and Mitigating the Distributional Gap Between Real and Simulated User Behaviors","created":"2026-05-08","cited_by_count":6,"area":null},{"id":"2607.27178","title":"DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search","created":"2026-07-29","cited_by_count":6,"area":null},{"id":"2508.13768","title":"MGT-Prism: Enhancing Domain Generalization for Machine-Generated Text Detection via Spectral Alignment","created":"2025-08-19","cited_by_count":5,"area":null},{"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":"2512.22991","title":"Fusion or Confusion? Multimodal Complexity Is Not All You Need","created":"2025-12-28","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":"2601.23188","title":"Deep Search with Hierarchical Meta-Cognitive Monitoring Inspired by Cognitive Neuroscience","created":"2026-01-30","cited_by_count":5,"area":null},{"id":"2602.07064","title":"OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization","created":"2026-02-05","cited_by_count":5,"area":null},{"id":"2602.12187","title":"SAGEO Arena: A Realistic Environment for Evaluating Search-Augmented Generative Engine Optimization","created":"2026-02-12","cited_by_count":5,"area":null},{"id":"2603.07392","title":"Can Large Language Models Keep Up? Benchmarking Online Adaptation to Continual Knowledge Streams","created":"2026-03-08","cited_by_count":5,"area":null},{"id":"2603.09827","title":"MA-EgoQA: Question Answering over Egocentric Videos from Multiple Embodied Agents","created":"2026-03-10","cited_by_count":5,"area":null},{"id":"2606.00408","title":"Masking Stale Observations Helps Search Agents -- Until It Doesn't: A Regime Map and Its Mechanism","created":"2026-05-29","cited_by_count":5,"area":null},{"id":"2606.25363","title":"TheoremGraph: Bridging Formal and Informal Mathematics","created":"2026-06-24","cited_by_count":5,"area":null},{"id":"2509.25179","title":"NAIPv2: Debiased Pairwise Learning for Efficient Paper Quality Estimation","created":"2025-09-29","cited_by_count":4,"area":null},{"id":"2509.25339","title":"VisualOverload: Probing Visual Understanding of VLMs in Really Dense Scenes","created":"2025-09-29","cited_by_count":4,"area":null},{"id":"2511.04234","title":"Reusing Pre-Training Data at Test Time is a Compute Multiplier","created":"2025-11-06","cited_by_count":4,"area":null},{"id":"2511.21726","title":"Goal-Directed Search Outperforms Goal-Agnostic Memory Compression in Long-Context Memory Tasks","created":"2025-11-20","cited_by_count":4,"area":null},{"id":"2512.04267","title":"UniLight: A Unified Representation for Lighting","created":"2025-12-03","cited_by_count":4,"area":null},{"id":"2601.02752","title":"EComStage: Stage-wise and Orientation-specific Benchmarking for Large Language Models in E-commerce","created":"2026-01-06","cited_by_count":4,"area":null},{"id":"2601.09692","title":"Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection","created":"2026-01-14","cited_by_count":4,"area":null},{"id":"2601.13713","title":"SWE-Tester: Training Open-Source LLMs for Issue Reproduction in Real-World Repositories","created":"2026-01-20","cited_by_count":4,"area":null},{"id":"2602.00682","title":"RecGOAT: Graph Optimal Adaptive Transport for LLM-Enhanced Multimodal Recommendation with Dual Semantic Alignment","created":"2026-01-31","cited_by_count":4,"area":null},{"id":"2602.01173","title":"EEmo-Logic: A Unified Dataset and Multi-Stage Framework for Comprehensive Image-Evoked Emotion Assessment","created":"2026-02-01","cited_by_count":4,"area":null},{"id":"2602.11700","title":"TabSieve: Explicit In-Table Evidence Selection for Tabular Prediction","created":"2026-02-12","cited_by_count":4,"area":null},{"id":"2602.15156","title":"Panini: Continual Learning in Token Space via Structured Memory","created":"2026-02-16","cited_by_count":4,"area":null},{"id":"2603.07223","title":"Unlocking Data Value in Finance: A Study on Distillation and Difficulty-Aware Training","created":"2026-03-07","cited_by_count":4,"area":null},{"id":"2605.10267","title":"IndustryBench: Probing the Industrial Knowledge Boundaries of LLMs","created":"2026-05-11","cited_by_count":4,"area":null}],"next_cursor":"100"}