LLM Context Management

LLM: Large Language Model

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23 papers in the last four weeks, up 92% on the four weeks before. 0.2% of all new papers.

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A Heterogeneous Temporal Memory Governance Framework for Long-Term LLM Persona Consistency
May 14, 2026Zhao Yang, Wang Huan, Li Yingshuo +2Memory-Augmented Language Models Persona Consistency
Changchun Kelaile Technology Co., Ltd, Qinglong Road, Luyuan District, Changchun, 130000, Jilin, China. · School of Electronic Information, Zhongshan Institute, University of Electronic Science and Technology of China, No. 1 Xueyuan Road,2026 Zhongshan, 528402, Guangdong, China.
EndPrompt: Efficient Long-Context Extension via Terminal Anchoring
May 14, 2026Han Tian, Luxuan Chen, Xinran Chen +10Long-Context Language Modeling LLM Fine-Tuning
1Nankai University · 2Baidu Inc. · 3Shanghai Jiao Tong University +1
Correctness-Aware Repository Filtering Under Maximum Effective Context Window Constraints
May 14, 2026Shweta MishraLLM Context Management Code Language Models
Independent Researcher
Grounded Continuation: A Linear-Time Runtime Verifier for LLM Conversations
May 13, 2026Qisong He, Jinwei Hu, Xinmiao Huang +3Belief Revision LLM Grounding
School of Computer Science & Informatics, University of Liverpool
Personal Visual Context Learning in Large Multimodal Models
May 11, 2026Zihui Xue, Ami Baid, Sangho Kim +2Vision-Language Models Multimodal Large Language Models
The University of Texas at Austin
On Problems of Implicit Context Compression for Software Engineering Agents
May 11, 2026Kirill Gelvan, Igor Slinko, Felix Steinbauer +3Software Engineering Agents Long-Horizon LLM Agents
JetBrains Research · Technical University of Munich, Germany
SkillRAE: Agent Skill-Based Context Compilation for Retrieval-Augmented Execution
May 11, 2026Xiangcheng Meng, Shu Wang, Yixiang FangAgentic Retrieval LLM Agent Skill Retrieval
The Chinese University of Hong Kong, Shenzhen
Beyond Continuity: Challenges of Context Switching in Multi-Turn Dialogue with LLMs
May 10, 2026Aditya Sinha, Harald Steck, Vito Ostuni +1LLM Evaluation Multi-Turn Dialogue Evaluation
Netflix Inc. · Los Gatos, CA, USA
Why Retrying Fails: Context Contamination in LLM Agent Pipelines
May 8, 2026Zhanfu YangLLM Context Management LLM Agent Reliability
Department of Computer Science, Rutgers University, Piscataway, NJ 08854, USA
Learning CLI Agents with Structured Action Credit under Selective Observation
May 8, 2026Haoyang Su, Ying WenComputer-Use Agents Credit Assignment in RL
Fudan University · Shanghai Innovation Institute · Shanghai Jiao Tong University
The Context Gathering Decision Process: A POMDP Framework for Agentic Search
May 7, 2026Chinmaya Kausik, Adith Swaminathan, Nathan KallusAgentic Search LLM Agents
University of Michigan · Netflix
Can LLMs Take Retrieved Information with a Grain of Salt?
May 7, 2026Behzad Shayegh, Mohamed Osama Ahmed, Fred Tung +1Retrieval-Augmented Generation LLM Evaluation
RBC Borealis
From History to State: Constant-Context Skill Learning for LLM Agents
May 6, 2026Haoyang Xie, Xinyuan Wang, Yancheng Wang +2LLM Agent Skill Learning LLM Agent Training
School of Computing and Augmented Intelligence, Arizona State University
LongSeeker: Elastic Context Orchestration for Long-Horizon Search Agents
May 6, 2026Yijun Lu, Rui Ye, Yuwen Du +3Web Search Agents Tool-Using Agents
Shanghai Jiao Tong University
When Context Hurts: The Crossover Effect of Knowledge Transfer on Multi-Agent Design Exploration
May 5, 2026Saranyan VigrahamSoftware Engineering Agents LLM Agent Orchestration
Meta
Perturbation Dose Responses in Recursive LLM Loops: Raw Switching, Stochastic Floors, and Persistent Escape under Append, Replace, and Dialog Updates
May 4, 2026Pawel KaplanskiLanguage Model Robustness LLM Context Management
Kaplanski AI Lab · Kaplanski Ai Lab
A Language for Describing Agentic LLM Contexts
May 3, 2026Noga Peleg Pelc, Gal A. Kaminka, Yoav GoldbergLLM Prompting LLM Agents
Dept. of Computer Science and AI Bar-Ilan University
Beyond Compaction: Structured Context Eviction for Long-Horizon Agents
May 1, 2026Andrew Semenov, Svyatoslav DorofeevLong-Horizon LLM Agents LLM Context Management
Kiz8
Context Recycling for Long-Horizon LLM Inference
May 1, 2026Derek ThomasLLM Inference Efficiency Long-Context Language Model Inference
Independent Researcher · contextforge
Budget-Aware Routing for Long Clinical Text
May 1, 2026Khizar Qureshi, Geoffrey Martin, Yifan PengSubmodular Optimization Long-Context Language Model Inference
MIT, Cambridge, MA · Cornell University, Ithaca, NY · Weill Cornell Medicine, New York, NY
CL-bench Life: Can Language Models Learn from Real-Life Context?
Apr 29, 2026Shihan Dou, Yujiong Shen, Chenhao Huang +35LLM Evaluation LLM Grounding
Hunyuan Team, Tencent · Fudan University
Dont Stop Early: Scalable Enterprise Deep Research with Controlled Information Flow and Evidence-Aware Termination
Apr 27, 2026Prafulla Kumar Choubey, Kung-Hsiang Huang, Pranav Narayanan Venkit +5Deep Research Agents LLM Agent Orchestration
Salesforce AI Research
ContextWeaver: Selective and Dependency-Structured Memory Construction for LLM Agents
Apr 24, 2026Yating Wu, Yuhao Zhang, Sayan Ghosh +4LLM Agent Memory Graph-Based Agent Memory
UT Austin · AWS AI Labs
Tool Attention Is All You Need: Dynamic Tool Gating and Lazy Schema Loading for Eliminating the MCP/Tools Tax in Scalable Agentic Workflows
Apr 23, 2026Anuj Sadani, Deepak KumarGated Attention LLM Tool Use
CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions
Apr 21, 2026Vanessa Figueiredo, Wilter FranceschiAI Agent Reliability Language Model-Based Control
Orbital Sea Regina, SK, Canada
Context: Proactive Goal-Directed Intelligence via Composable Sandboxed Programs, Declarative Wiring, and Structured Interaction
Apr 21, 2026Gregory MagarshakLLM Agent Orchestration Proactive Assistance
Qbix, Inc. & Intercoin, Inc. · New York, USA · Also with IE University NYC.
LANTERN: Layered Archival and Temporal Episodic Retrieval Network for Long-Context LLM Conversations
Apr 18, 2026Rahul SubramaniMemory-Augmented Language Models Persistent Memory for Language Models
Cisco Systems, Inc.
GenericAgent: A Token-Efficient Self-Evolving LLM Agent via Contextual Information Density Maximization (V1.0)
Apr 18, 2026Jiaqing Liang, Jinyi Han, Weijia Li +15Tool-Augmented Language Model Agents LLM Agent Memory
Advantage AI Agent Lab (A3 Lab)
Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS)
Apr 16, 2026Sharookh Daruwalla, Nitin Mayande, Shreeya Verma Kathuria +2Sentiment Analysis Language Model Robustness
1Tellagence Inc.∗ · 2Villanova School of Business, Villanova University† · 3Maseeh College of Engineering and Computer Science, Portland State University‡
Reasoning Shift: How Context Silently Shortens LLM Reasoning
Apr 1, 2026Gleb Rodionov, Roman Garipov, George YakushevLanguage Model Robustness LLM Context Management
Yandex · HSE University

May 14, 2026, cs.AIJ/K move · Enter open · S save

A Heterogeneous Temporal Memory Governance Framework for Long-Term LLM Persona Consistency

Zhao Yang, Wang Huan, Li Yingshuo, Tu Haomiao+1

Changchun Kelaile Technology Co., Ltd, Qinglong Road, Luyuan District, Changchun, 130000, Jilin, China. · School of Electronic Information, Zhongshan Institute, University of Electronic Science and Technology of China, No. 1 Xueyuan Road,2026 Zhongshan, 528402, Guangdong, China.

Memory-Augmented Language Models Persona Consistency Persistent Memory for Language Models Long-Term Conversational Memory LLM Context Management

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Large language models often suffer from fact loss, timeline confusion, persona drift, and reduced stability during long-range interaction, especially under high-noise knowledge bases, context clearing, and cross-model transfer. To address these issues, we introduce ARPM, an external temporal memory governance framework for long-term dialogue. ARPM separates static knowledge memory from dynamic dialogue experience memory and combines vector retrieval, BM25, RRF fusion, dual-temporal reranking, chronological evidence reading, and a controlled analysis protocol for evidence verification and answer binding. Unlike approaches that encode persona consistency into model weights or rely only on long context, ARPM treats continuity as a traceable, auditable, and transferable governance problem. Using engineering logs, we conduct three experiments. First, in a 50-round question-answering setting, we compare signal-to-noise ratios of 1:5 and 1:200+, and distinguish CSV auto-judgment from manual review. Under 1:5, CSV recall accuracy is 54.0%, while manual review raises it to 100.0%. Under 1:200+, the values are 44.0% and 80.0%. These results show that automatic rules can underestimate recall after supporting evidence enters the prompt. Second, ablation results show that dialogue history retrieval is necessary for recent continuity: disabling it reduces strict accuracy from 100% to 66.7%, and disabling BM25 reduces it to 80.0%, indicating that pure semantic retrieval is insufficient for correction and tracing. Third, under a 5.1-million-character noise substrate, periodic context clearing, and multi-model handoff, ARPM maintains semantic continuity, boundary continuity, and persona consistency, while exposing limits caused by weak protocol compliance. These findings show that long-term persona consistency can be decomposed into governable components and evaluated in a white-box manner.

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