{"total":152,"rows":[{"id":"2410.10813","title":"LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory","created":"2024-10-14","cited_by_count":707,"area":null},{"id":"2307.13269","title":"LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition","created":"2023-07-25","cited_by_count":364,"area":null},{"id":"2310.05736","title":"LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models","created":"2023-10-09","cited_by_count":287,"area":null},{"id":"2404.07143","title":"Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention","created":"2024-04-10","cited_by_count":200,"area":null},{"id":"2310.06201","title":"Compressing Context to Enhance Inference Efficiency of Large Language Models","created":"2023-10-09","cited_by_count":189,"area":null},{"id":"2410.02660","title":"How to Train Long-Context Language Models (Effectively)","created":"2024-10-03","cited_by_count":146,"area":null},{"id":"2310.05029","title":"Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading","created":"2023-10-08","cited_by_count":133,"area":null},{"id":"2409.03420","title":"mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding","created":"2024-09-05","cited_by_count":114,"area":null},{"id":"2402.16617","title":"Long-Context Language Modeling with Parallel Context Encoding","created":"2024-02-26","cited_by_count":84,"area":null},{"id":"2402.13598","title":"User-LLM: Efficient LLM Contextualization with User Embeddings","created":"2024-02-21","cited_by_count":76,"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":"2311.12351","title":"Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey","created":"2023-11-21","cited_by_count":72,"area":null},{"id":"2402.18700","title":"Learning to Compress Prompt in Natural Language Formats","created":"2024-02-28","cited_by_count":55,"area":null},{"id":"2406.16747","title":"Sparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformers","created":"2024-06-24","cited_by_count":52,"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":"2312.09571","title":"Extending Context Window of Large Language Models via Semantic Compression","created":"2023-12-15","cited_by_count":45,"area":null},{"id":"2312.03414","title":"Compressed Context Memory For Online Language Model Interaction","created":"2023-12-06","cited_by_count":43,"area":null},{"id":"2402.10790","title":"In Search of Needles in a 11M Haystack: Recurrent Memory Finds What LLMs Miss","created":"2024-02-16","cited_by_count":36,"area":null},{"id":"2309.05173","title":"DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning","created":"2023-09-11","cited_by_count":35,"area":null},{"id":"2403.04317","title":"Online Adaptation of Language Models with a Memory of Amortized Contexts","created":"2024-03-07","cited_by_count":35,"area":null},{"id":"2401.07872","title":"The What, Why, and How of Context Length Extension Techniques in Large Language Models -- A Detailed Survey","created":"2024-01-15","cited_by_count":33,"area":null},{"id":"2403.12766","title":"NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens","created":"2024-03-18","cited_by_count":32,"area":null},{"id":"2504.02441","title":"Cognitive Memory in Large Language Models","created":"2025-04-03","cited_by_count":29,"area":null},{"id":"2506.05904","title":"Proactive Assistant Dialogue Generation from Streaming Egocentric Videos","created":"2025-06-06","cited_by_count":28,"area":null},{"id":"2411.05877","title":"Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass","created":"2024-11-08","cited_by_count":26,"area":null},{"id":"2412.16545","title":"Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models","created":"2024-12-21","cited_by_count":26,"area":null},{"id":"2402.13449","title":"CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory","created":"2024-02-21","cited_by_count":24,"area":null},{"id":"2310.02409","title":"Dodo: Dynamic Contextual Compression for Decoder-only LMs","created":"2023-10-03","cited_by_count":23,"area":null},{"id":"2404.09173","title":"TransformerFAM: Feedback attention is working memory","created":"2024-04-14","cited_by_count":22,"area":null},{"id":"2502.11493","title":"DAST: Context-Aware Compression in LLMs via Dynamic Allocation of Soft Tokens","created":"2025-02-17","cited_by_count":22,"area":null},{"id":"2405.06067","title":"HMT: Hierarchical Memory Transformer for Efficient Long Context Language Processing","created":"2024-05-09","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":"2404.13556","title":"ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval","created":"2024-04-21","cited_by_count":19,"area":null},{"id":"2406.02547","title":"Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning","created":"2024-06-04","cited_by_count":17,"area":null},{"id":"2504.01707","title":"InfiniteICL: Breaking the Limit of Context Window Size via Long Short-term Memory Transformation","created":"2025-04-02","cited_by_count":17,"area":null},{"id":"2508.09874","title":"Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models","created":"2025-08-13","cited_by_count":16,"area":null},{"id":"2502.11401","title":"Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment","created":"2025-02-17","cited_by_count":14,"area":null},{"id":"2404.04163","title":"Dwell in the Beginning: How Language Models Embed Long Documents for Dense Retrieval","created":"2024-04-05","cited_by_count":13,"area":null},{"id":"2602.21221","title":"Latent Context Compilation: Distilling Long Context into Compact Portable Memory","created":"2026-01-31","cited_by_count":13,"area":null},{"id":"2406.13618","title":"In-Context Former: Lightning-fast Compressing Context for Large Language Model","created":"2024-06-19","cited_by_count":12,"area":null},{"id":"2502.15957","title":"R$^3$Mem: Bridging Memory Retention and Retrieval via Reversible Compression","created":"2025-02-21","cited_by_count":12,"area":null},{"id":"2311.01876","title":"Sentiment Analysis through LLM Negotiations","created":"2023-11-03","cited_by_count":11,"area":null},{"id":"2402.13551","title":"Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions","created":"2024-02-21","cited_by_count":11,"area":null},{"id":"2405.14660","title":"Implicit In-context Learning","created":"2024-05-23","cited_by_count":11,"area":null},{"id":"2409.12172","title":"You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQL","created":"2024-09-18","cited_by_count":11,"area":null},{"id":"2410.03156","title":"MELODI: Exploring Memory Compression for Long Contexts","created":"2024-10-04","cited_by_count":11,"area":null},{"id":"2503.13299","title":"A Survey on Transformer Context Extension: Approaches and Evaluation","created":"2025-03-17","cited_by_count":11,"area":null},{"id":"2411.07130","title":"On Many-Shot In-Context Learning for Long-Context Evaluation","created":"2024-11-11","cited_by_count":10,"area":null},{"id":"2510.27688","title":"Continuous Autoregressive Language Models","created":"2025-10-31","cited_by_count":10,"area":null},{"id":"2602.01840","title":"Read As Human: Compressing Context via Parallelizable Close Reading and Skimming","created":"2026-02-02","cited_by_count":10,"area":null},{"id":"2307.11922","title":"Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors","created":"2023-07-21","cited_by_count":9,"area":null},{"id":"2403.20262","title":"ELITR-Bench: A Meeting Assistant Benchmark for Long-Context Language Models","created":"2024-03-29","cited_by_count":9,"area":null},{"id":"2603.13875","title":"GradMem: Learning to Write Context into Memory with Test-Time Gradient Descent","created":"2026-03-14","cited_by_count":9,"area":null},{"id":"2402.16058","title":"Say More with Less: Understanding Prompt Learning Behaviors through Gist Compression","created":"2024-02-25","cited_by_count":8,"area":null},{"id":"2405.17052","title":"SelfCP: Compressing Over-Limit Prompt via the Frozen Large Language Model Itself","created":"2024-05-27","cited_by_count":8,"area":null},{"id":"2411.15927","title":"Generative Prompt Internalization","created":"2024-11-24","cited_by_count":8,"area":null},{"id":"2506.04344","title":"GEM: Empowering LLM for both Embedding Generation and Language Understanding","created":"2025-06-04","cited_by_count":8,"area":null},{"id":"2406.06567","title":"DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion","created":"2024-06-03","cited_by_count":7,"area":null},{"id":"2410.15116","title":"Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models","created":"2024-10-19","cited_by_count":7,"area":null},{"id":"2502.00840","title":"Activation Approximations Can Incur Safety Vulnerabilities Even in Aligned LLMs: Comprehensive Analysis and Defense","created":"2025-02-02","cited_by_count":7,"area":null},{"id":"2512.20111","title":"ABBEL: Learning Natural-Language Belief States for Memory-Efficient Interaction","created":"2025-12-23","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":"2406.13167","title":"QRMeM: Unleash the Length Limitation through Question then Reflection Memory Mechanism","created":"2024-06-19","cited_by_count":6,"area":null},{"id":"2408.15518","title":"Squid: Long Context as a New Modality for Energy-Efficient On-Device Language Models","created":"2024-08-28","cited_by_count":6,"area":null},{"id":"2410.08481","title":"Generation with Dynamic Vocabulary","created":"2024-10-11","cited_by_count":6,"area":null},{"id":"2502.18023","title":"Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference","created":"2025-02-25","cited_by_count":6,"area":null},{"id":"2601.12906","title":"Gated Differentiable Working Memory for Long-Context Language Modeling","created":"2026-01-19","cited_by_count":6,"area":null},{"id":"2409.01495","title":"The Compressor-Retriever Architecture for Language Model OS","created":"2024-09-02","cited_by_count":5,"area":null},{"id":"2506.01084","title":"zip2zip: Inference-Time Adaptive Tokenization via Online Compression","created":"2025-06-01","cited_by_count":5,"area":null},{"id":"2506.11111","title":"Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions","created":"2025-06-08","cited_by_count":5,"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":"2510.00444","title":"TokMem: One-Token Procedural Memory for Large Language Models","created":"2025-10-01","cited_by_count":5,"area":null},{"id":"2510.05862","title":"Revisiting Long-context Modeling from Context Denoising Perspective","created":"2025-10-07","cited_by_count":5,"area":null},{"id":"2602.01766","title":"CoMeT: Collaborative Memory Transformer for Efficient Long Context Modeling","created":"2026-02-02","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":"2504.16786","title":"MOOSComp: Improving Lightweight Long-Context Compressor via Mitigating Over-Smoothing and Incorporating Outlier Scores","created":"2025-04-23","cited_by_count":4,"area":null},{"id":"2505.19647","title":"Select, Read, and Write: A Multi-Agent Framework of Full-Text-based Related Work Generation","created":"2025-05-26","cited_by_count":4,"area":null},{"id":"2603.25340","title":"Large Language Model as Token Compressor and Decompressor","created":"2026-03-26","cited_by_count":4,"area":null},{"id":"2605.15156","title":"MeMo: Memory as a Model","created":"2026-05-14","cited_by_count":4,"area":null},{"id":"2608.05475","title":"KV-Skill: Forging Expertise in the Model's Native Language","created":"2026-08-05","cited_by_count":4,"area":null},{"id":"2402.03009","title":"UniMem: Towards a Unified View of Long-Context Large Language Models","created":"2024-02-05","cited_by_count":3,"area":null},{"id":"2403.15362","title":"CoLLEGe: Concept Embedding Generation for Large Language Models","created":"2024-03-22","cited_by_count":3,"area":null},{"id":"2406.11884","title":"Hierarchical Compression of Text-Rich Graphs via Large Language Models","created":"2024-06-13","cited_by_count":3,"area":null},{"id":"2408.16803","title":"Efficient Hierarchical Transformers for Representing Log Data","created":"2024-08-29","cited_by_count":3,"area":null},{"id":"2504.07635","title":"Generative Artificial Intelligence for Internet of Things Computing: A Systematic Survey","created":"2025-04-10","cited_by_count":3,"area":null},{"id":"2511.05313","title":"Controllably Efficient Language Models","created":"2025-11-07","cited_by_count":3,"area":null},{"id":"2511.17129","title":"Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation","created":"2025-11-21","cited_by_count":3,"area":null},{"id":"2601.21927","title":"SONIC: Segmented Optimized Nexus for Information Compression in Key-Value Caching","created":"2026-01-29","cited_by_count":3,"area":null},{"id":"2604.17121","title":"The Topological Trouble With Transformers","created":"2026-04-18","cited_by_count":3,"area":null},{"id":"2605.09778","title":"Nectar: Neural Estimation of Cached-Token Attention via Regression","created":"2026-05-10","cited_by_count":3,"area":null},{"id":"2605.21463","title":"Mem-$\\pi$: Adaptive Memory through Learning When and What to Generate","created":"2026-05-20","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":"2406.10985","title":"Taking a Deep Breath: Enhancing Language Modeling of Large Language Models with Sentinel Tokens","created":"2024-06-16","cited_by_count":2,"area":null},{"id":"2410.21012","title":"FACT: Examining the Effectiveness of Iterative Context Rewriting for Multi-fact Retrieval","created":"2024-10-28","cited_by_count":2,"area":null},{"id":"2412.09907","title":"IQViC: In-context, Question Adaptive Vision Compressor for Long-term Video Understanding LMMs","created":"2024-12-13","cited_by_count":2,"area":null},{"id":"2502.06139","title":"LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs","created":"2025-02-10","cited_by_count":2,"area":null},{"id":"2604.20915","title":"Absorber LLM: Harnessing Causal Synchronization for Test-Time Training","created":"2026-04-22","cited_by_count":2,"area":null},{"id":"2605.07076","title":"Self-Consolidating Language Models: Continual Knowledge Incorporation from Context","created":"2026-05-08","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":"2608.12435","title":"MARCH: Scaling Recurrent Memory with Content-Routed State Anchors","created":"2026-08-12","cited_by_count":2,"area":null}],"next_cursor":"100"}