{"total":57,"rows":[{"id":"2507.13334","title":"A Survey of Context Engineering for Large Language Models","created":"2025-07-17","cited_by_count":126,"area":null},{"id":"2510.07777","title":"Drift No More? Context Equilibria in Multi-Turn LLM Interactions","created":"2025-10-09","cited_by_count":22,"area":null},{"id":"2601.06007","title":"Don't Break the Cache: An Evaluation of Prompt Caching for Long-Horizon Agentic Tasks","created":"2026-01-09","cited_by_count":19,"area":"agents"},{"id":"2510.08907","title":"Autoencoding-Free Context Compression for LLMs via Contextual Semantic Anchors","created":"2025-10-10","cited_by_count":14,"area":"inference"},{"id":"2511.10523","title":"Convomem Benchmark: Why Your First 150 Conversations Don't Need RAG","created":"2025-11-13","cited_by_count":10,"area":"rag"},{"id":"2601.18091","title":"From LLMs to LRMs: Rethinking Pruning for Reasoning-Centric Models","created":"2026-01-26","cited_by_count":10,"area":"lr"},{"id":"2602.11583","title":"The Five Ws of Multi-Agent Communication: Who Talks to Whom, When, What, and Why -- A Survey from MARL to Emergent Language and LLMs","created":"2026-02-12","cited_by_count":10,"area":"agents"},{"id":"2507.14447","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","created":"2025-07-19","cited_by_count":9,"area":"agents"},{"id":"2510.10278","title":"Simulating Viva Voce Examinations to Evaluate Clinical Reasoning in Large Language Models","created":"2025-10-11","cited_by_count":9,"area":"lr"},{"id":"2605.27690","title":"TRACES: Proactive Safety Auditing for Multi-Turn LLM Agents via Trajectory-State Modeling","created":"2026-05-26","cited_by_count":8,"area":"agents"},{"id":"2510.13291","title":"Higher Satisfaction, Lower Cost: A Technical Report on How LLMs Revolutionize Meituan's Intelligent Interaction Systems","created":"2025-10-15","cited_by_count":7,"area":null},{"id":"2601.11653","title":"AI Agents Need Memory Control Over More Context","created":"2026-01-15","cited_by_count":7,"area":null},{"id":"2512.07287","title":"Experience-Evolving Multi-Turn Tool-Use Agent with Hybrid Episodic-Procedural Memory","created":"2025-12-08","cited_by_count":6,"area":null},{"id":"2606.09461","title":"H2HMem: A Multimodal Memory Benchmark for Agents in Human-Human Interactions","created":"2026-06-08","cited_by_count":6,"area":"agents"},{"id":"2509.06341","title":"Evaluating Multi-Turn Bargain Skills in LLM-Based Seller Agent","created":"2025-09-08","cited_by_count":4,"area":"agents"},{"id":"2601.07582","title":"ES-Mem: Event Segmentation-Based Memory for Long-Term Dialogue Agents","created":"2026-01-12","cited_by_count":4,"area":null},{"id":"2606.10315","title":"Catching One in Five: LLM-as-Judge Blind Spots in Production Multi-Turn Transaction Agents","created":"2026-06-09","cited_by_count":4,"area":"agents"},{"id":"2507.00535","title":"Rethinking Group Recommender Systems in the Era of Generative AI: From One-Shot Recommendations to Agentic Group Decision Support","created":"2025-07-01","cited_by_count":3,"area":"agents"},{"id":"2508.19163","title":"MATRIX: Multi-Agent simulaTion fRamework for safe Interactions and conteXtual clinical conversational evaluation","created":"2025-08-26","cited_by_count":3,"area":"agents"},{"id":"2509.06770","title":"Another Turn, Better Output? A Turn-Wise Analysis of Iterative LLM Prompting","created":"2025-09-08","cited_by_count":3,"area":null},{"id":"2509.09715","title":"Investigating Symbolic Triggers of Hallucination in Gemma Models Across HaluEval and TruthfulQA","created":"2025-09-09","cited_by_count":3,"area":null},{"id":"2603.08938","title":"AgentOS: From Application Silos to a Natural Language-Driven Data Ecosystem","created":"2026-03-09","cited_by_count":3,"area":null},{"id":"2607.26212","title":"Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges","created":"2026-07-28","cited_by_count":3,"area":"agents"},{"id":"2506.02739","title":"Why do AI agents communicate in human language?","created":"2025-06-03","cited_by_count":2,"area":"agents"},{"id":"2509.20616","title":"Training Task Reasoning LLM Agents for Multi-turn Task Planning via Single-turn Reinforcement Learning","created":"2025-09-24","cited_by_count":2,"area":"lr"},{"id":"2510.12740","title":"Hey, wait a minute: on at-issue sensitivity in Language Models","created":"2025-10-14","cited_by_count":2,"area":null},{"id":"2601.07978","title":"Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models","created":"2026-01-12","cited_by_count":2,"area":"agents"},{"id":"2602.14970","title":"Counterfactual Fairness Evaluation of LLM-Based Contact Center Agent Quality Assurance System","created":"2026-02-16","cited_by_count":2,"area":"agents"},{"id":"2604.02280","title":"Novel Memory Forgetting Techniques for Autonomous AI Agents: Balancing Relevance and Efficiency","created":"2026-04-02","cited_by_count":2,"area":null},{"id":"2604.23099","title":"ProEval: Proactive Failure Discovery and Efficient Performance Estimation for Generative AI Evaluation","created":"2026-04-25","cited_by_count":2,"area":null},{"id":"2606.03698","title":"Multi$^2$: Hierarchical Multi-Agent Decision-Making with LLM-Based Agents in Interactive Environments","created":"2026-06-02","cited_by_count":2,"area":"agents"},{"id":"2508.18646","title":"Beyond Benchmarks: LLM Evaluation with an Anthropomorphic and Lifecycle-oriented Roadmap","created":"2025-08-26","cited_by_count":1,"area":null},{"id":"2510.19186","title":"When Users Are Happy but Agents Are Wrong: Multi-Dimensional Evaluation of Tool-Augmented Dialogue","created":"2025-10-22","cited_by_count":1,"area":null},{"id":"2601.06152","title":"HiMeS: Hippocampus-inspired Memory System for Personalized AI Assistants","created":"2026-01-06","cited_by_count":1,"area":null},{"id":"2601.06426","title":"NC-Bench: An LLM Benchmark for Evaluating Conversational Competence","created":"2026-01-10","cited_by_count":1,"area":null},{"id":"2602.17022","title":"ReIn: Conversational Error Recovery with Reasoning Inception","created":"2026-02-19","cited_by_count":1,"area":"lr"},{"id":"2604.00022","title":"Criterion Validity of LLM-as-Judge for Business Outcomes in Conversational Commerce","created":"2026-03-11","cited_by_count":1,"area":null},{"id":"2605.24832","title":"Optimus: Elastic Decoding for Efficient Diffusion LLM Serving","created":"2026-05-24","cited_by_count":1,"area":"inference"},{"id":"2608.01117","title":"SoK: Intent-Oriented Systematization of Multi-Turn LLM Jailbreaks","created":"2026-08-02","cited_by_count":1,"area":"safety"},{"id":"2608.17605","title":"Multi-turn Conversational AI from Text to Multimodal Interaction: Data, Models, Evaluation, and Open Challenges","created":"2026-08-18","cited_by_count":1,"area":null},{"id":"2608.20631","title":"Weighted Memory Tree: Remembering What Matters for Long-Horizon LLM Agents","created":"2026-08-21","cited_by_count":1,"area":"agents"},{"id":"2510.01239","title":"CIFLEX: Contextual Instruction Flow for Sub-task Execution in Multi-Turn Interactions with a Single On-Device LLM","created":"2025-09-24","cited_by_count":0,"area":null},{"id":"2511.03047","title":"Unsupervised Evaluation of Multi-Turn Objective-Driven Interactions","created":"2025-11-04","cited_by_count":0,"area":null},{"id":"2511.03908","title":"Context informs pragmatic interpretation in vision-language models","created":"2025-11-05","cited_by_count":0,"area":"mllm"},{"id":"2512.06256","title":"Convergence of Outputs When Two Large Language Models Interact in a Multi-Agentic Setup","created":"2025-12-06","cited_by_count":0,"area":"agents"},{"id":"2603.09997","title":"Empathy Is Not What Changed: Clinical Assessment of Psychological Safety Across GPT Model Generations","created":"2026-02-15","cited_by_count":0,"area":null},{"id":"2603.19292","title":"Automatic Analysis of Collaboration Through Human Conversational Data Resources: A Review","created":"2026-03-10","cited_by_count":0,"area":null},{"id":"2605.16650","title":"SKG-Eval: Stateful Evaluation of Multi-Turn Dialogue via Incremental Semantic Knowledge Graphs","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2606.12332","title":"Measuring Semantic Progress in Multi-turn Dialogue via Information Gain","created":"2026-06-10","cited_by_count":0,"area":null},{"id":"2606.13854","title":"SpheriCity: Designing Trustworthy Conversational AI for Sustainability Decision Support","created":"2026-06-11","cited_by_count":0,"area":null},{"id":"2607.20527","title":"Evaluating and Guarding Citation Faithfulness in Agentic Scientific Synthesis","created":"2026-07-10","cited_by_count":0,"area":"agents"},{"id":"2608.10239","title":"Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2608.29571","title":"Which one is banana man? Evaluating vision-language models in multi-turn pragmatic interpretation","created":"2026-08-30","cited_by_count":0,"area":"mllm"},{"id":"2609.02892","title":"Counterexamples as Feedback for Agent Self-Correction","created":"2026-07-01","cited_by_count":0,"area":null},{"id":"2609.14646","title":"CompCQR: Compositional Query Generation for Training-Free Conversational Search","created":"2026-09-13","cited_by_count":0,"area":null},{"id":"2609.33955","title":"Designing Reliable LLM-as-a-Judge Measurement Systems for Multi-Turn Business Agents","created":"2026-09-27","cited_by_count":0,"area":"agents"},{"id":"2609.35812","title":"Automated Evaluation of Multi-Turn Dialogues in In-Car Conversational Assistants","created":"2026-09-20","cited_by_count":0,"area":null}],"next_cursor":null}