{"total":71,"rows":[{"id":"2501.09136","title":"Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG","created":"2025-01-15","cited_by_count":249,"area":"rag"},{"id":"2412.13501","title":"GUI Agents: A Survey","created":"2024-12-18","cited_by_count":103,"area":"agents"},{"id":"2409.05746","title":"LLMs Will Always Hallucinate, and We Need to Live With This","created":"2024-09-09","cited_by_count":78,"area":null},{"id":"2407.15186","title":"A Survey on Employing Large Language Models for Text-to-SQL Tasks","created":"2024-07-21","cited_by_count":67,"area":null},{"id":"2411.05990","title":"Game-theoretic LLM: Agent Workflow for Negotiation Games","created":"2024-11-08","cited_by_count":56,"area":"agents"},{"id":"2412.14135","title":"Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective","created":"2024-12-18","cited_by_count":50,"area":"lr"},{"id":"2512.04123","title":"Measuring Agents in Production","created":"2025-12-02","cited_by_count":37,"area":"agents"},{"id":"2502.12904","title":"Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements","created":"2025-02-18","cited_by_count":32,"area":null},{"id":"2504.11168","title":"Bypassing LLM Guardrails: An Empirical Analysis of Evasion Attacks against Prompt Injection and Jailbreak Detection Systems","created":"2025-04-15","cited_by_count":26,"area":"safety"},{"id":"2410.04078","title":"TeachTune: Reviewing Pedagogical Agents Against Diverse Student Profiles with Simulated Students","created":"2024-10-05","cited_by_count":25,"area":"agents"},{"id":"2412.13840","title":"Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey","created":"2024-12-18","cited_by_count":23,"area":null},{"id":"2505.16120","title":"LLM-Powered AI Agent Systems and Their Applications in Industry","created":"2025-05-22","cited_by_count":22,"area":"agents"},{"id":"2502.00409","title":"Doing More with Less: A Survey on Routing Strategies for Resource Optimisation in Large Language Model-Based Systems","created":"2025-02-01","cited_by_count":20,"area":null},{"id":"2502.14301","title":"SEA-HELM: Southeast Asian Holistic Evaluation of Language Models","created":"2025-02-20","cited_by_count":19,"area":null},{"id":"2505.08253","title":"Evaluating LLM Metrics Through Real-World Capabilities","created":"2025-05-13","cited_by_count":18,"area":null},{"id":"2409.15934","title":"Automated test generation to evaluate tool-augmented LLMs as conversational AI agents","created":"2024-09-24","cited_by_count":17,"area":"agents"},{"id":"2603.20449","title":"Solver-Aided Verification of Policy Compliance in Tool-Augmented LLM Agents","created":"2026-03-20","cited_by_count":16,"area":"agents"},{"id":"2501.13080","title":"Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignment","created":"2025-01-22","cited_by_count":14,"area":"lr"},{"id":"2505.17767","title":"Position: The Real Barrier to LLM Agent Usability is Agentic ROI","created":"2025-05-23","cited_by_count":12,"area":"agents"},{"id":"2602.23368","title":"Keyword search is all you need: Achieving RAG-Level Performance without vector databases using agentic tool use","created":"2025-12-19","cited_by_count":10,"area":"rag"},{"id":"2505.14536","title":"Breaking Bad Tokens: Detoxification of LLMs Using Sparse Autoencoders","created":"2025-05-20","cited_by_count":9,"area":"mechinterp"},{"id":"2510.09536","title":"Evaluating Robustness of Large Language Models Against Multilingual Typographical Errors","created":"2025-10-10","cited_by_count":9,"area":null},{"id":"2502.09637","title":"Meta-Cultural Competence: Climbing the Right Hill of Cultural Awareness","created":"2025-02-09","cited_by_count":8,"area":null},{"id":"2505.07850","title":"A Tale of Two Identities: An Ethical Audit of Human and AI-Crafted Personas","created":"2025-05-07","cited_by_count":8,"area":null},{"id":"2509.20324","title":"RAG Security and Privacy: Formalizing the Threat Model and Attack Surface","created":"2025-09-24","cited_by_count":8,"area":"rag"},{"id":"2412.11672","title":"LLM-DaaS: LLM-driven Drone-as-a-Service Operations from Text User Requests","created":"2024-12-16","cited_by_count":7,"area":null},{"id":"2501.08102","title":"Consistency of Responses and Continuations Generated by Large Language Models on Social Media","created":"2025-01-14","cited_by_count":7,"area":null},{"id":"2504.03871","title":"HeterMoE: Efficient Training of Mixture-of-Experts Models on Heterogeneous GPUs","created":"2025-04-04","cited_by_count":7,"area":"moe"},{"id":"2504.20464","title":"A Survey on GUI Agents with Foundation Models Enhanced by Reinforcement Learning","created":"2025-04-29","cited_by_count":7,"area":"lr"},{"id":"2510.05497","title":"Patterns behind Chaos: Forecasting Data Movement for Efficient Large-Scale MoE LLM Inference","created":"2025-10-07","cited_by_count":6,"area":"moe"},{"id":"2502.12187","title":"Hallucinations are inevitable but can be made statistically negligible","created":"2025-02-15","cited_by_count":5,"area":null},{"id":"2505.21362","title":"Evaluating LLM Adaptation to Sociodemographic Factors: User Profile vs. Dialogue History","created":"2025-05-27","cited_by_count":5,"area":null},{"id":"2511.17808","title":"PoETa v2: Toward More Robust Evaluation of Large Language Models in Portuguese","created":"2025-11-21","cited_by_count":5,"area":null},{"id":"2503.05856","title":"This Is Your Doge, If It Please You: Exploring Deception and Robustness in Mixture of LLMs","created":"2025-03-07","cited_by_count":4,"area":null},{"id":"2504.02112","title":"PolyG: Adaptive Graph Traversal for Diverse GraphRAG Questions","created":"2025-04-02","cited_by_count":4,"area":null},{"id":"2506.07211","title":"Sword and Shield: Uses and Strategies of LLMs in Navigating Disinformation","created":"2025-06-08","cited_by_count":4,"area":null},{"id":"2507.03153","title":"HGCA: Hybrid GPU-CPU Attention for Long Context LLM Inference","created":"2025-07-03","cited_by_count":4,"area":null},{"id":"2511.06174","title":"LUT-LLM: Efficient Large Language Model Inference with Memory-based Computations on FPGAs","created":"2025-11-09","cited_by_count":4,"area":"inference"},{"id":"2601.11589","title":"LAPS: A Length-Aware-Prefill LLM Serving System","created":"2026-01-04","cited_by_count":4,"area":"inference"},{"id":"2505.12287","title":"The Tower of Babel Revisited: Multilingual Jailbreak Prompts on Closed-Source Large Language Models","created":"2025-05-18","cited_by_count":3,"area":"safety"},{"id":"2510.06188","title":"BanglaTalk: Towards Real-Time Speech Assistance for Bengali Regional Dialects","created":"2025-10-07","cited_by_count":3,"area":null},{"id":"2502.14305","title":"Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems","created":"2025-02-20","cited_by_count":2,"area":null},{"id":"2503.11586","title":"Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space","created":"2025-03-14","cited_by_count":2,"area":null},{"id":"2504.09775","title":"MIST: A Co-Design Framework for Heterogeneous, Multi-Stage LLM Inference","created":"2025-04-14","cited_by_count":2,"area":"inference"},{"id":"2512.06991","title":"Prompting-in-a-Series: Psychology-Informed Contents and Embeddings for Personality Recognition With Decoder-Only Models","created":"2025-12-07","cited_by_count":2,"area":null},{"id":"2601.01836","title":"COMPASS: A Framework for Evaluating Organization-Specific Policy Alignment in LLMs","created":"2026-01-05","cited_by_count":2,"area":null},{"id":"2501.14179","title":"AI Chatbots as Professional Service Agents: Developing a Professional Identity","created":"2025-01-24","cited_by_count":1,"area":"agents"},{"id":"2504.15439","title":"Combating Toxic Language: A Review of LLM-Based Strategies for Software Engineering","created":"2025-04-21","cited_by_count":1,"area":null},{"id":"2505.07142","title":"Exploring Anthropomorphism in Conversational Agents for Environmental Sustainability","created":"2025-05-11","cited_by_count":1,"area":"agents"},{"id":"2507.13550","title":"GOFAI meets Generative AI: Development of Expert Systems by means of Large Language Models","created":"2025-07-17","cited_by_count":1,"area":null},{"id":"2507.22955","title":"LLMs Between the Nodes: Community Discovery Beyond Vectors","created":"2025-07-29","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":"2410.13326","title":"Comparing the Utility, Preference, and Performance of Course Material Search Functionality and Retrieval-Augmented Generation Large Language Model (RAG-LLM) AI Chatbots in Information-Seeking Tasks","created":"2024-10-17","cited_by_count":0,"area":"rag"},{"id":"2411.02850","title":"WASHtsApp -- A RAG-powered WhatsApp Chatbot for supporting rural African clean water access, sanitation and hygiene","created":"2024-11-05","cited_by_count":0,"area":null},{"id":"2503.05740","title":"ChatWise: A Strategy-Guided Chatbot for Enhancing Cognitive Support in Older Adults","created":"2025-02-19","cited_by_count":0,"area":null},{"id":"2503.16893","title":"Improving the End-to-End Efficiency of Offline Inference for Multi-LLM Applications Based on Sampling and Simulation","created":"2025-03-21","cited_by_count":0,"area":null},{"id":"2506.21620","title":"How Large Language Models play humans in online conversations: a simulated study of the 2016 US politics on Reddit","created":"2025-06-23","cited_by_count":0,"area":null},{"id":"2508.09148","title":"Motif 2.6B Technical Report","created":"2025-08-02","cited_by_count":0,"area":null},{"id":"2509.08862","title":"Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses","created":"2025-09-10","cited_by_count":0,"area":null},{"id":"2509.15556","title":"Exploring Polyglot Harmony: On Multilingual Data Allocation for Large Language Models Pretraining","created":"2025-09-19","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":"2512.04287","title":"Artificial Intelligence Applications in Horizon Scanning for Infectious Diseases","created":"2025-12-03","cited_by_count":0,"area":null},{"id":"2512.15550","title":"CTkvr: KV Cache Retrieval for Long-Context LLMs via Centroid then Token Indexing","created":"2025-12-17","cited_by_count":0,"area":"inference"},{"id":"2601.06424","title":"Can a Unimodal Language Agent Provide Preferences to Tune a Multimodal Vision-Language Model?","created":"2026-01-10","cited_by_count":0,"area":"mllm"},{"id":"2602.17778","title":"Asking Forever: Universal Activations Behind Turn Amplification in Conversational LLMs","created":"2026-02-19","cited_by_count":0,"area":null},{"id":"2603.14672","title":"Seamless Deception: Larger Language Models Are Better Knowledge Concealers","created":"2026-03-15","cited_by_count":0,"area":null},{"id":"2603.24595","title":"M2K: Making the Model-Kernel Interface Explicit for Reliable CUDA Kernel Verification","created":"2026-03-06","cited_by_count":0,"area":null},{"id":"2605.06046","title":"Requests of a Feather Must Flock Together: Batch Size vs. Prefix Homogeneity in LLM Inference","created":"2026-05-07","cited_by_count":0,"area":"inference"},{"id":"2608.14692","title":"Identifying Harm in Personalized, Generative AI Systems Requires User-Centered Auditing at the Interaction Level","created":"2026-08-07","cited_by_count":0,"area":null},{"id":"2609.20838","title":"From Generation to Detection: Exploration of Discourse Driven Scenario based LLM Generated Fake News","created":"2026-07-29","cited_by_count":0,"area":null},{"id":"2609.38090","title":"Mira: Memory-Efficient MoE Inference Using Adaptive Caching and Predictive Expert Staging","created":"2026-09-29","cited_by_count":0,"area":"moe"}],"next_cursor":null}