{"total":88,"rows":[{"id":"2311.05232","title":"A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions","created":"2023-11-09","cited_by_count":1601,"area":null},{"id":"2410.10813","title":"LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory","created":"2024-10-14","cited_by_count":707,"area":null},{"id":"2502.11089","title":"Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention","created":"2025-02-16","cited_by_count":407,"area":null},{"id":"2407.02490","title":"MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention","created":"2024-07-02","cited_by_count":383,"area":null},{"id":"2310.16427","title":"PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization","created":"2023-10-25","cited_by_count":233,"area":null},{"id":"2407.18921","title":"Mobile Edge Intelligence for Large Language Models: A Contemporary Survey","created":"2024-07-09","cited_by_count":128,"area":null},{"id":"2404.14851","title":"From Matching to Generation: A Survey on Generative Information Retrieval","created":"2024-04-23","cited_by_count":89,"area":null},{"id":"2410.14052","title":"From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs","created":"2024-10-17","cited_by_count":79,"area":null},{"id":"2310.14735","title":"Unleashing the potential of prompt engineering for large language models","created":"2023-10-23","cited_by_count":72,"area":null},{"id":"2404.12096","title":"LongEmbed: Extending Embedding Models for Long Context Retrieval","created":"2024-04-18","cited_by_count":48,"area":null},{"id":"2404.01077","title":"Efficient Prompting Methods for Large Language Models: A Survey","created":"2024-04-01","cited_by_count":47,"area":null},{"id":"2510.00446","title":"LongCodeZip: Compress Long Context for Code Language Models","created":"2025-10-01","cited_by_count":39,"area":null},{"id":"2404.15500","title":"GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots","created":"2024-04-23","cited_by_count":30,"area":null},{"id":"2505.14827","title":"Text Generation Beyond Discrete Token Sampling","created":"2025-05-20","cited_by_count":21,"area":null},{"id":"2406.14848","title":"Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models","created":"2024-06-21","cited_by_count":20,"area":null},{"id":"2508.04664","title":"Sculptor: Empowering LLMs with Cognitive Agency via Active Context Management","created":"2025-08-06","cited_by_count":18,"area":null},{"id":"2403.09192","title":"PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation","created":"2024-03-14","cited_by_count":17,"area":null},{"id":"2509.25651","title":"AutoLabs: Cognitive Multi-Agent Systems with Self-Correction for Autonomous Chemical Experimentation","created":"2025-09-30","cited_by_count":15,"area":null},{"id":"2409.05152","title":"OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs","created":"2024-09-08","cited_by_count":14,"area":null},{"id":"2407.14192","title":"LeKUBE: A Legal Knowledge Update BEnchmark","created":"2024-07-19","cited_by_count":12,"area":null},{"id":"2406.13399","title":"VELO: A Vector Database-Assisted Cloud-Edge Collaborative LLM QoS Optimization Framework","created":"2024-06-19","cited_by_count":10,"area":null},{"id":"2410.10074","title":"Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning","created":"2024-10-14","cited_by_count":9,"area":null},{"id":"2405.18272","title":"Metaheuristics and Large Language Models Join Forces: Toward an Integrated Optimization Approach","created":"2024-05-28","cited_by_count":7,"area":null},{"id":"2410.07002","title":"CursorCore: Assist Programming through Aligning Anything","created":"2024-10-09","cited_by_count":7,"area":null},{"id":"2503.01425","title":"MeshPad: Interactive Sketch-Conditioned Artist-Reminiscent Mesh Generation and Editing","created":"2025-03-03","cited_by_count":7,"area":null},{"id":"2606.25449","title":"Reclaim Evaluation: A Lossy Memory Is Worse Than an Empty One","created":"2026-06-24","cited_by_count":7,"area":null},{"id":"2410.13073","title":"PromptExp: Multi-granularity Prompt Explanation of Large Language Models","created":"2024-10-16","cited_by_count":6,"area":null},{"id":"2501.02552","title":"Multi-LLM Collaborative Caption Generation in Scientific Documents","created":"2025-01-05","cited_by_count":6,"area":null},{"id":"2605.26525","title":"ReCA: Multi-Shot Long Video Extrapolation via Recursive Context Allocation","created":"2026-05-26","cited_by_count":6,"area":null},{"id":"2506.11638","title":"LoRA-Gen: Specializing Large Language Model via Online LoRA Generation","created":"2025-06-13","cited_by_count":5,"area":null},{"id":"2602.24287","title":"Do LLMs Benefit From Their Own Words?","created":"2026-02-27","cited_by_count":5,"area":null},{"id":"2405.16635","title":"Compressing Lengthy Context With UltraGist","created":"2024-05-26","cited_by_count":4,"area":null},{"id":"2412.18100","title":"EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent","created":"2024-12-24","cited_by_count":4,"area":null},{"id":"2506.14580","title":"GenerationPrograms: Fine-grained Attribution with Executable Programs","created":"2025-06-17","cited_by_count":4,"area":null},{"id":"2608.11079","title":"SkillZip: Evaluation-Free Skill Compression for Self-Evolving Agents by Discovering Reusable Structure","created":"2026-08-11","cited_by_count":4,"area":null},{"id":"2403.00039","title":"FhGenie: A Custom, Confidentiality-preserving Chat AI for Corporate and Scientific Use","created":"2024-02-29","cited_by_count":3,"area":null},{"id":"2409.09071","title":"Elastic On-Device LLM Service","created":"2024-09-08","cited_by_count":3,"area":null},{"id":"2501.13100","title":"A Rate-Distortion Framework for Summarization","created":"2025-01-22","cited_by_count":3,"area":null},{"id":"2505.24179","title":"SALE : Low-bit Estimation for Efficient Sparse Attention in Long-context LLM Prefilling","created":"2025-05-30","cited_by_count":3,"area":null},{"id":"2603.18330","title":"MemArchitect: A Policy Driven Memory Governance Layer","created":"2026-03-18","cited_by_count":3,"area":null},{"id":"2605.28557","title":"Token Optimization Strategies for LLM-Based Oracle-to-PostgreSQL Migration","created":"2026-05-27","cited_by_count":3,"area":null},{"id":"2508.09035","title":"P/D-Device: Disaggregated Large Language Model between Cloud and Devices","created":"2025-08-12","cited_by_count":2,"area":null},{"id":"2606.03979","title":"Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories","created":"2026-06-02","cited_by_count":2,"area":null},{"id":"2407.07771","title":"Multi-task Prompt Words Learning for Social Media Content Generation","created":"2024-07-10","cited_by_count":1,"area":null},{"id":"2510.00079","title":"Directed Information $\\gamma$-covering: An Information-Theoretic Framework for Context Engineering","created":"2025-09-30","cited_by_count":1,"area":null},{"id":"2511.00576","title":"FlashEVA: Accelerating LLM inference via Efficient Attention","created":"2025-11-01","cited_by_count":1,"area":null},{"id":"2512.02080","title":"The 4/$\\delta$ Bound: Designing Predictable LLM-Verifier Systems for Formal Method Guarantee","created":"2025-11-30","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":"2601.07354","title":"Semantic Compression of LLM Instructions via Symbolic Metalanguages","created":"2026-01-12","cited_by_count":1,"area":null},{"id":"2602.00397","title":"Fast Forward: Accelerating LLM Prefill with Predictive FFN Sparsity","created":"2026-01-30","cited_by_count":1,"area":null},{"id":"2603.28972","title":"Privacy Guard & Token Parsimony by Prompt and Context Handling and LLM Routing","created":"2026-03-30","cited_by_count":1,"area":null},{"id":"2412.00546","title":"Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks","created":"2024-11-30","cited_by_count":0,"area":null},{"id":"2412.11494","title":"FTP: A Fine-grained Token-wise Pruner for Large Language Models via Token Routing","created":"2024-12-16","cited_by_count":0,"area":null},{"id":"2510.18691","title":"Investigating LLM Capabilities on Long Context Comprehension for Medical Question Answering","created":"2025-10-21","cited_by_count":0,"area":null},{"id":"2511.10029","title":"ScaleFormer: Span Representation Cumulation for Long-Context Transformer","created":"2025-11-13","cited_by_count":0,"area":null},{"id":"2602.04607","title":"Focus-LIME: Surgical Interpretation of Long-Context Large Language Models via Proxy-Based Neighborhood Selection","created":"2026-02-04","cited_by_count":0,"area":null},{"id":"2604.14156","title":"Compressed-Sensing-Guided, Inference-Aware Structured Reduction for Large Language Models","created":"2026-03-22","cited_by_count":0,"area":null},{"id":"2604.17512","title":"ONTO: A Token-Efficient Columnar Notation for LLM Input Optimization","created":"2026-04-19","cited_by_count":0,"area":null},{"id":"2604.21952","title":"Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models","created":"2026-04-23","cited_by_count":0,"area":null},{"id":"2605.08626","title":"Large Language Models over Networks: Collaborative Intelligence under Resource Constraints","created":"2026-05-09","cited_by_count":0,"area":null},{"id":"2605.11442","title":"Can a Single Message Paralyze the AI Infrastructure? The Rise of AbO-DDoS Attacks through Targeted Mobius Injection","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2605.14362","title":"Correctness-Aware Repository Filtering Under Maximum Effective Context Window Constraints","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2605.24541","title":"SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors","created":"2026-05-23","cited_by_count":0,"area":null},{"id":"2606.06203","title":"Dense Contexts Are Hard Contexts: Lexical Density Limits Effective Context in LLMs","created":"2026-06-04","cited_by_count":0,"area":null},{"id":"2606.06337","title":"TokenMizer: Graph-Structured Session Memory for Long-Horizon LLM Context Management","created":"2026-06-04","cited_by_count":0,"area":null},{"id":"2606.12411","title":"Context-Driven Incremental Compression for Multi-Turn Dialogue Generation","created":"2026-06-10","cited_by_count":0,"area":null},{"id":"2606.20295","title":"Token-Operations-Oriented Inference Optimization Techniques for Large Models","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2607.12216","title":"RCWT: Measuring Task-Budget Displacement from Coordination Content in LLM Calls","created":"2026-07-13","cited_by_count":0,"area":null},{"id":"2607.13735","title":"Constraint-Driven Model Optimization: An Industry Framework for Selecting Compression and Acceleration Techniques in Modern Machine Learning Systems","created":"2026-07-15","cited_by_count":0,"area":null},{"id":"2608.10290","title":"Comprendia: AI-Augmented Code Comprehension","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2608.12610","title":"@skills: Attention is all you have","created":"2026-08-12","cited_by_count":0,"area":null},{"id":"2608.30785","title":"SkillZip Pro: Execution-Aware Dynamic Compression of Progressively Loaded Skills for Self-Evolving Agents","created":"2026-08-31","cited_by_count":0,"area":null},{"id":"2609.00865","title":"MemoryWalker: Stop Training Agents on Contexts They Never Saw","created":"2026-09-01","cited_by_count":0,"area":null},{"id":"2609.04288","title":"Scalable Context Orchestration for Serving LLMs Over Voice","created":"2026-09-03","cited_by_count":0,"area":null},{"id":"2609.15338","title":"Dynamic Semantic Compression for Efficient Latent-Space Inference in Large Language Models","created":"2026-09-14","cited_by_count":0,"area":null},{"id":"2609.27233","title":"Distilling Sequential Computation in Transformer Language Models","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2609.30017","title":"Canopy: Exploiting Piecewise Smooth Tree Priors for Multi-Fidelity Bandits","created":"2026-09-24","cited_by_count":0,"area":null},{"id":"2609.30882","title":"Effects of Transcript Compression on LLM-based Medical Misinformation Detection in Japanese YouTube Videos","created":"2026-09-25","cited_by_count":0,"area":null},{"id":"2609.31381","title":"Evaluating Budgeted Context Projection with Unexecuted Companion Runs","created":"2026-09-25","cited_by_count":0,"area":null},{"id":"2609.33268","title":"LSTMem: Hierarchical Long Short-Term Online Memory for Large Language Models","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.34603","title":"After the Fix: Transfer of Corrected Agent Experience","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.37587","title":"ReLMem: Learning Recurrent Memory for Longitudinal EHR Modeling","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.38374","title":"Doc2LoRA Provides Decodable Representations of Scientific Ideas","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.38878","title":"Audio Token Attention Is Predictable Before the Language Model Runs","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.00964","title":"RPTune: Learned Context Curation for LLM Catalog Search","created":"2026-10-01","cited_by_count":0,"area":null},{"id":"2610.05597","title":"More Than Words: Compositional Tokenization for Efficient Language Models","created":"2026-10-04","cited_by_count":0,"area":null},{"id":"2610.05690","title":"Errors of LLM-Assisted Literature Retrieval in Environmental Science: A Comparison Study of Abstract versus Full-text Based Prompts","created":"2026-10-05","cited_by_count":0,"area":null},{"id":"2610.19568","title":"INTACT: Inducing Latent Reasoning on a Frozen Backbone","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}