{"total":127,"rows":[{"id":"2506.02153","title":"Small Language Models are the Future of Agentic AI","created":"2025-06-02","cited_by_count":270,"area":"agents"},{"id":"2505.00212","title":"Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems","created":"2025-04-30","cited_by_count":185,"area":"agents"},{"id":"2411.18279","title":"Large Language Model-Brained GUI Agents: A Survey","created":"2024-11-27","cited_by_count":162,"area":"agents"},{"id":"2412.04862","title":"EXAONE 3.5: Series of Large Language Models for Real-world Use Cases","created":"2024-12-06","cited_by_count":53,"area":null},{"id":"2504.12680","title":"Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning","created":"2025-04-17","cited_by_count":37,"area":"lr"},{"id":"2504.19838","title":"LLM-Powered GUI Agents in Phone Automation: Surveying Progress and Prospects","created":"2025-04-28","cited_by_count":32,"area":"agents"},{"id":"2502.11569","title":"Towards Reasoning Ability of Small Language Models","created":"2025-02-17","cited_by_count":29,"area":"lr"},{"id":"2501.06713","title":"MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation","created":"2025-01-12","cited_by_count":28,"area":"rag"},{"id":"2504.14772","title":"Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions","created":"2025-04-20","cited_by_count":26,"area":"distill"},{"id":"2504.17119","title":"The Rise of Small Language Models in Healthcare: A Comprehensive Survey","created":"2025-04-23","cited_by_count":18,"area":null},{"id":"2509.08682","title":"Automatic Failure Attribution and Critical Step Prediction Method for Multi-Agent Systems Based on Causal Inference","created":"2025-09-10","cited_by_count":18,"area":null},{"id":"2508.00890","title":"AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks","created":"2025-07-26","cited_by_count":16,"area":"lr"},{"id":"2603.21389","title":"Task-Specific Efficiency Analysis: When Small Language Models Outperform Large Language Models","created":"2026-03-22","cited_by_count":15,"area":null},{"id":"2507.07375","title":"Bradley-Terry and Multi-Objective Reward Modeling Are Complementary","created":"2025-07-10","cited_by_count":11,"area":"alignment"},{"id":"2509.06477","title":"MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents","created":"2025-09-08","cited_by_count":11,"area":"agents"},{"id":"2511.01016","title":"Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning","created":"2025-11-02","cited_by_count":10,"area":"lr"},{"id":"2411.08028","title":"Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data","created":"2024-11-12","cited_by_count":8,"area":"distill"},{"id":"2502.08664","title":"Motion Forecasting for Autonomous Vehicles: A Survey","created":"2025-02-10","cited_by_count":8,"area":null},{"id":"2504.00623","title":"Efficient Construction of Model Family through Progressive Training Using Model Expansion","created":"2025-04-01","cited_by_count":8,"area":null},{"id":"2506.02280","title":"The State of Large Language Models for African Languages: Progress and Challenges","created":"2025-06-02","cited_by_count":8,"area":null},{"id":"2504.19277","title":"Small Models, Big Tasks: An Exploratory Empirical Study on Small Language Models for Function Calling","created":"2025-04-27","cited_by_count":7,"area":"agents"},{"id":"2510.13890","title":"A Survey on Collaborating Small and Large Language Models for Performance, Cost-effectiveness, Cloud-edge Privacy, and Trustworthiness","created":"2025-10-14","cited_by_count":7,"area":null},{"id":"2504.04569","title":"KnowsLM: A framework for evaluation of small language models for knowledge augmentation and humanised conversations","created":"2025-04-06","cited_by_count":6,"area":null},{"id":"2507.21108","title":"A Survey of Classification Tasks and Approaches for Legal Contracts","created":"2025-07-09","cited_by_count":6,"area":null},{"id":"2510.05077","title":"Slm-mux: Orchestrating small language models for reasoning","created":"2025-10-06","cited_by_count":6,"area":"lr"},{"id":"2506.06579","title":"Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques","created":"2025-06-06","cited_by_count":5,"area":null},{"id":"2510.16805","title":"Mixed-Precision Quantization for Language Models: Techniques and Prospects","created":"2025-10-19","cited_by_count":5,"area":null},{"id":"2511.20104","title":"The Devil in the Details: Emergent Misalignment, Format and Coherence in Open-Weights LLMs","created":"2025-11-25","cited_by_count":5,"area":null},{"id":"2601.00588","title":"CSSBench: Evaluating the Safety of Lightweight LLMs against Chinese-Specific Adversarial Patterns","created":"2026-01-02","cited_by_count":5,"area":"safety"},{"id":"2602.22124","title":"SWE-Prot\\'eg\\'e: Learning to Selectively Collaborate With an Expert Unlocks Small Language Models as Software Engineering Agents","created":"2026-02-25","cited_by_count":4,"area":"agents"},{"id":"2605.21127","title":"Reasoning-Trace Collapse: Evaluating the Loss of Explicit Reasoning During Fine-Tuning","created":"2026-05-20","cited_by_count":4,"area":"lr"},{"id":"2503.06519","title":"Can Small Language Models Reliably Resist Jailbreak Attacks? A Comprehensive Evaluation","created":"2025-03-09","cited_by_count":3,"area":"safety"},{"id":"2504.18225","title":"Even Small Reasoners Should Quote Their Sources: Introducing the Pleias-RAG Model Family","created":"2025-04-25","cited_by_count":3,"area":"lr"},{"id":"2505.13425","title":"Learnware of Language Models: Specialized Small Language Models Can Do Big","created":"2025-05-19","cited_by_count":3,"area":null},{"id":"2506.12340","title":"Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models","created":"2025-06-14","cited_by_count":3,"area":"mllm"},{"id":"2509.07324","title":"Mitigating Attention Localization in Small Scale: Self-Attention Refinement via One-step Belief Propagation","created":"2025-09-09","cited_by_count":3,"area":null},{"id":"2509.16413","title":"Pico: A Modular Framework for Hypothesis-Driven Small Language Model Research","created":"2025-09-19","cited_by_count":3,"area":null},{"id":"2510.09351","title":"ReTraceQA: Evaluating Reasoning Traces of Small Language Models in Commonsense Question Answering","created":"2025-10-10","cited_by_count":3,"area":"lr"},{"id":"2512.02716","title":"Menta: A Small Language Model for On-Device Mental Health Prediction","created":"2025-12-02","cited_by_count":3,"area":null},{"id":"2602.16653","title":"Agent Skill Framework: Perspectives on the Potential of Small to Medium Language Models in Industrial Environments","created":"2026-02-18","cited_by_count":3,"area":"agents"},{"id":"2603.17945","title":"ShapleyLaw: A Game-Theoretic Approach to Multilingual Scaling Laws","created":"2026-03-18","cited_by_count":3,"area":null},{"id":"2603.19133","title":"A Pipelined Collaborative Speculative Decoding Framework for Efficient Edge-Cloud LLM Inference","created":"2026-03-19","cited_by_count":3,"area":"inference"},{"id":"2604.26940","title":"Select to Think: Unlocking SLM Potential with Local Sufficiency","created":"2026-04-29","cited_by_count":3,"area":"lr"},{"id":"2412.14215","title":"Generative AI Toolkit -- a framework for increasing the quality of LLM-based applications over their whole life cycle","created":"2024-12-18","cited_by_count":2,"area":null},{"id":"2505.19511","title":"Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models","created":"2025-05-26","cited_by_count":2,"area":"lr"},{"id":"2506.01698","title":"When LLMs Team Up: The Emergence of Collaborative Affective Computing","created":"2025-06-02","cited_by_count":2,"area":null},{"id":"2506.06180","title":"Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models","created":"2025-06-06","cited_by_count":2,"area":null},{"id":"2508.11386","title":"Retrieval-augmented reasoning with lean language models","created":"2025-08-15","cited_by_count":2,"area":"lr"},{"id":"2509.04518","title":"Advancing SLM Tool-Use Capability using Reinforcement Learning","created":"2025-09-03","cited_by_count":2,"area":"lr"},{"id":"2510.05858","title":"DACP: Domain-Adaptive Continual Pre-Training of Large Language Models for Phone Conversation Summarization","created":"2025-10-07","cited_by_count":2,"area":null},{"id":"2510.08601","title":"Mnemosyne: An Unsupervised, Human-Inspired Long-Term Memory Architecture for Edge-Based LLMs","created":"2025-10-07","cited_by_count":2,"area":null},{"id":"2601.13735","title":"Reasoning or Fluency? Dissecting Probabilistic Confidence in Best-of-N Selection","created":"2026-01-20","cited_by_count":2,"area":null},{"id":"2606.25191","title":"To Isolate or to Score? Model-Adaptive Assessment for Cost-Efficient Multi-Agent RAG","created":"2026-06-23","cited_by_count":2,"area":"rag"},{"id":"2607.09053","title":"An Emergent Mirage: Is Emergent Misalignment and Realignment Indeed a Robust Phenomenon?","created":"2026-07-10","cited_by_count":2,"area":null},{"id":"2608.01708","title":"PGMem: Tightly Coupled Persona-Memory Graph for Lifelong Personalized Agents","created":"2026-08-03","cited_by_count":2,"area":"agents"},{"id":"2504.07965","title":"Cat, Rat, Meow: On the Alignment of Language Model and Human Term-Similarity Judgments","created":"2025-04-10","cited_by_count":1,"area":"alignment"},{"id":"2504.07989","title":"Regional Tiny Stories: Using Small Models to Compare Language Learning and Tokenizer Performance","created":"2025-04-07","cited_by_count":1,"area":null},{"id":"2505.05619","title":"LiteLMGuard: Seamless and Lightweight On-Device Prompt Filtering for Safeguarding Small Language Models against Quantization-induced Risks and Vulnerabilities","created":"2025-05-08","cited_by_count":1,"area":"safety"},{"id":"2505.08620","title":"Resource-Efficient Language Models: Quantization for Fast and Accessible Inference","created":"2025-05-13","cited_by_count":1,"area":null},{"id":"2506.20018","title":"Achieving Trustworthy Real-Time Decision Support Systems with Low-Latency Interpretable AI Models","created":"2025-06-24","cited_by_count":1,"area":null},{"id":"2510.08152","title":"DACIP-RC: Domain Adaptive Continual Instruction Pre-Training via Reading Comprehension on Business Conversations","created":"2025-10-09","cited_by_count":1,"area":null},{"id":"2510.18817","title":"Fine-Tuned Thoughts: Leveraging Chain-of-Thought Reasoning for Industrial Asset Health Monitoring","created":"2025-10-21","cited_by_count":1,"area":"lr"},{"id":"2510.20278","title":"KCM: KAN-Based Collaboration Models Enhance Pretrained Large Models","created":"2025-10-23","cited_by_count":1,"area":null},{"id":"2510.21443","title":"Does Model Size Matter? A Comparison of Small and Large Language Models for Requirements Classification","created":"2025-10-24","cited_by_count":1,"area":null},{"id":"2511.02647","title":"Federated Attention: A Distributed Paradigm for Collaborative LLM Inference over Edge Networks","created":"2025-11-04","cited_by_count":1,"area":null},{"id":"2512.02625","title":"CryptoQA: A Large-scale Question-answering Dataset for AI-assisted Cryptography","created":"2025-12-02","cited_by_count":1,"area":null},{"id":"2512.24863","title":"Big AI is accelerating the metacrisis: What can we do?","created":"2025-12-31","cited_by_count":1,"area":null},{"id":"2602.21059","title":"An Expert Schema for Evaluating Large Language Model Errors in Scholarly Question-Answering Systems","created":"2026-02-24","cited_by_count":1,"area":null},{"id":"2603.06647","title":"Performance Comparison of IBN orchestration using LLM and SLMs","created":"2026-02-27","cited_by_count":1,"area":null},{"id":"2603.14828","title":"Toward Robust GraphRAG: Mitigating Retrieval Drift and Hallucination from Imperfect Knowledge Graphs","created":"2026-03-16","cited_by_count":1,"area":"lr"},{"id":"2604.27143","title":"Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents","created":"2026-04-29","cited_by_count":1,"area":"agents"},{"id":"2606.04694","title":"DuDi: Dual-Signal Distillation with Cross-Lingual Verbalizer","created":"2026-06-03","cited_by_count":1,"area":"distill"},{"id":"2606.15974","title":"A Large-Scale Multi-Dimensional Empirical Study of LLMs for Conversation Summarization","created":"2026-06-14","cited_by_count":1,"area":null},{"id":"2606.16995","title":"When in Doubt, Plan It Out: Committed Small Language Model Deliberation for Reactive Reinforcement Learning","created":"2026-06-15","cited_by_count":1,"area":null},{"id":"2606.21428","title":"Does Mixture-of-Experts Actually Help Inference on Consumer and Edge Hardware? An Empirical Study","created":"2026-06-19","cited_by_count":1,"area":"moe"},{"id":"2607.03801","title":"Punching Above Their Weight: Classification-Head Fine-Tuning of Tiny Language Models (TLMs) for Verifiable Multiple-Choice Tasks","created":"2026-07-04","cited_by_count":1,"area":null},{"id":"2608.17183","title":"Benchmarking the Benchmarks: Evaluating Automated Safety Benchmarks for Small Language Models","created":"2026-08-17","cited_by_count":1,"area":null},{"id":"2412.15441","title":"Insights into resource utilization of code small language models serving with runtime engines and execution providers","created":"2024-12-19","cited_by_count":0,"area":null},{"id":"2501.01284","title":"Tracing Partisan Bias to Its Emotional Fingerprints: A Computational Approach to Mitigation","created":"2025-01-02","cited_by_count":0,"area":null},{"id":"2505.00831","title":"SmallPlan: Leverage Small Language Models for Sequential Path Planning with Simulation-Powered, LLM-Guided Distillation","created":"2025-05-01","cited_by_count":0,"area":null},{"id":"2506.07695","title":"Towards a Small Language Model Lifecycle Framework","created":"2025-06-09","cited_by_count":0,"area":null},{"id":"2506.12403","title":"Bridging the Digital Divide: Small Language Models as a Pathway for Physics and Photonics Education in Underdeveloped Regions","created":"2025-06-14","cited_by_count":0,"area":null},{"id":"2507.00054","title":"Enhancing Reasoning Capabilities in SLMs with Reward Guided Dataset Distillation","created":"2025-06-25","cited_by_count":0,"area":"lr"},{"id":"2507.23674","title":"TweakLLM: A Routing Architecture for Dynamic Tailoring of Cached Responses","created":"2025-07-31","cited_by_count":0,"area":null},{"id":"2508.16680","title":"CALR: Corrective Adaptive Low-Rank Decomposition for Efficient Large Language Model Layer Compression","created":"2025-08-21","cited_by_count":0,"area":null},{"id":"2509.21192","title":"GEP: A GCG-Based method for extracting personally identifiable information from chatbots built on small language models","created":"2025-09-25","cited_by_count":0,"area":null},{"id":"2510.01674","title":"FOR-Prompting: From Objection to Revision via an Asymmetric Prompting Protocol","created":"2025-10-02","cited_by_count":0,"area":"lr"},{"id":"2510.04032","title":"Small Language Models for Emergency Departments Decision Support: A Benchmark Study","created":"2025-10-05","cited_by_count":0,"area":null},{"id":"2511.03466","title":"Kastor: Fine-tuned Small Language Models for Shape-based Active Relation Extraction","created":"2025-11-05","cited_by_count":0,"area":null},{"id":"2511.03542","title":"SOLVE-Med: Specialized Orchestration for Leading Vertical Experts across Medical Specialties","created":"2025-11-05","cited_by_count":0,"area":null},{"id":"2601.01037","title":"Multi-Dimensional Prompt Chaining to Improve Open-Domain Dialogue Generation","created":"2026-01-03","cited_by_count":0,"area":null},{"id":"2601.02071","title":"FormuLLA: A Large Language Model Approach to Generating Novel 3D Printable Formulations","created":"2026-01-05","cited_by_count":0,"area":null},{"id":"2601.04212","title":"TrueBrief: Faithful Summarization through Small Language Models","created":"2025-12-12","cited_by_count":0,"area":null},{"id":"2601.20041","title":"CiMRAG: CiM-Aware Domain-Adaptive and Noise-Resilient Retrieval-Augmented Generation for Edge-Based LLMs","created":"2026-01-27","cited_by_count":0,"area":"rag"},{"id":"2602.02632","title":"Performance of Small Language Model Pretraining on FABRIC: An Empirical Study","created":"2026-02-02","cited_by_count":0,"area":null},{"id":"2602.10869","title":"Agentic Knowledge Distillation: Autonomous Training of Small Language Models for SMS Threat Detection","created":"2026-02-11","cited_by_count":0,"area":"agents"},{"id":"2602.21374","title":"Small Language Models for Privacy-Preserving Clinical Information Extraction in Low-Resource Languages","created":"2026-02-24","cited_by_count":0,"area":null},{"id":"2603.02653","title":"AlphaFree: Recommendation Free from Users, IDs, and GNNs","created":"2026-03-03","cited_by_count":0,"area":null},{"id":"2603.28622","title":"Trust-Aware Routing for Distributed Generative AI Inference at the Edge","created":"2026-03-30","cited_by_count":0,"area":null},{"id":"2604.00586","title":"More Human, More Efficient: Aligning Annotations with Quantized SLMs","created":"2026-04-01","cited_by_count":0,"area":null}],"next_cursor":"100"}