Shared Control

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7 papers in the last four weeks, against 1 the four weeks before. 0.1% of all new papers.

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Latest papers 33

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Shared Phase and Retention Control for Efficient Adaptive Spectral Recurrence
Sep 30, 2026Wentao Wang, Hengyu Zhong, Yunhan Jiang +2Frequency-Aware Regularization Sequence Modeling
Peking University · GigaAI
Learning from Shared-Control Overrides: Context-Driven Acceleration Profile Prediction for Personalized Overtaking
Sep 29, 2026Ruizheng Xu, Lounis Adouane, Javier Ibañez-Guzmán +1Adaptive Control Acceleration
Heudiasyc · Ampere Software Technology, Renault Group, Guyancourt, France.
BlenDAgger: Blended Shared Control for Interactive Imitation Learning
Sep 29, 2026Cailyn Smith, Geoffrey Sun, Henny Admoni +1Robotic Manipulation Policies Robot Policies
The Robotics Institute, School of Computer Science Carnegie Mellon University Pittsburgh, USA · School of Computer Science Carnegie Mellon University Pittsburgh, USA
Draft-KV: Learning Useful Latent Communication Between Language Models
Sep 28, 2026Linquan Wu, Shichang Meng, Tianxiang Jiang +7Shared Control Keys And Value
City University of Hong Kong · University of Science and Technology of China · University of Electronic Science and Technology of China +3
KVCMAS: Efficient KV cache Correction for Shared Context in Multi-Agent Systems
Sep 28, 2026Hyesung Jeon, Hyeongju Ha, Seoyoung Lee +2Kv-Cache Management Key-Value Cache
Department of Electrical and Computer Engineering Seoul National University
Capability-Aware Arbitration for Semantic Intent-Based Shared Control
Sep 21, 2026Zhaoda Du, Michael Bowman, Xiaoli ZhangVision-Language-Action Framework Arbitration
Colorado School of Mines, Golden, CO 80401, USA. · University of Pennsylvania, Philadelphia, PA 19104, USA.
Composite-Gradient Learning for Shared Control Authority Between Deep Reinforcement Learning and Model Predictive Control
Sep 15, 2026Giray Önür, Azita Dabiri, Bart De SchutterModel Predictive Control Multi-Agent Reinforcement Learning
Delft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands
What an odour descriptor corpus can and cannot measure: valence, attenuation, and the ceiling of the public record
Sep 14, 2026Stylianos Kampakis, Fabio RovaiSmells Inter-Annotator Agreement
Tesseract Academy, London, UK
KVShareArena: KV-Cache Reuse Across Contexts and Model Checkpoints
Sep 9, 2026Xi Shi, Mengxin Zheng, Qian LouKv-Cache Management Large Language Model Serving
University of Central Florida
Adaptive Shared Control with Online Bounded-Rational Human Behavior Estimation
Sep 9, 2026Henry Ascencio Trejo, Roel Pieters, Gokhan AlcanAdaptive Control Rationality
Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland
When Does Information Sharing Improve Decentralized Discovery? Aggregation, Independent Rescue, and Equilibrium Selection
Sep 1, 2026Yohei NakajimaEquilibrium Shared Control
Untapped Capital
Public-Sharing Labels and Verbatim Field Egress in an MCP-to-A2A Agent Configuration: A Controlled Multi-Model Study
Sep 1, 2026Arpan Kumar MahapatraModel Context Protocol Agentic Deployments
Private Etymology: Designing Relational Reuse of Shared Symbols in Long-Term Human-AI Interaction
Aug 9, 2026Miki UenoSymbol-Shared Control
The Kyoto College of Graduate Studies for Informatics
ROCS: Request-Oriented Compute Sharing for Efficient Large-Scale Recommendation
Jul 30, 2026Yuxin Chen, Liang Luo, Buyun Zhang +44Sequential Recommendation Load Balancing
SHARE: Towards Head-Mounted AR with User-Centric SLAM in Shared Human-Robot Workspaces
Jul 27, 2026Tianyuan Du, Tianyi Hu, Hanting Ye +1Human-Robot Collaboration Augmented Reality
Duke University, Department of Electrical and Computer Engineering, Durham, North Carolina, United States
Stress-Sharing: A Bio-Inspired Approach to Decentralized Fault Repair in Modular Spacecraft
Jul 15, 2026Sidhdharth D. Sikka, Yue Shen, Shaoshuai MouSelf-Repair Spacecraft
Purdue University, West Lafayette, IN, USA · Manifold Research Group
ShareLock: A Stealthy Multi-Tool Threshold Poisoning Attack Against MCP
Jun 25, 2026Liwei Liu, Tianzhu Han, Zijian Liu +2Poisoning Model Context Protocol
Shanghai Jiao Tong University · Shanghai, China
Understanding Latent Flow Models for Tabular Data Synthesis: Targets, Paths, and Sampling
Jun 18, 2026Bahrul Ilmi NasutionSynthetic Tabular Data Latent Flow
Department of Social Statistics, The University of Manchester, UK
Repeated Shared Access Enables Grokking, but Edit Propagation Depends on an Addressable Memory
Jun 17, 2026Yanan NiuPeak Memory Shared Control
Kuaishou Technology
Reasoning as Pattern Matching: Shared Mechanisms in Human and LLM Everyday Reasoning
Jun 11, 2026Zach Studdiford, Gary LupyanLLM Reasoning Strategies Reasoning Errors
University of Wisconsin–Madison Department of Psychology Department of Computer Science
Decentralized Multi-Agent Systems with Shared Context
Jun 9, 2026Yuzhen Mao, Jerry Gu, Aadi Chauhan +3Multi-Agent Communication Test-Time Scaling
Stanford University
Shared Semantics, Divergent Mechanisms: Unsupervised Feature Discovery by Aligning Semantics and Mechanisms
Jun 6, 2026Hyunjin Cho, Youngji Roh, Jaehyung KimMechanistic Interpretability Interpretability
Yonsei University
SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language Models
Jun 3, 2026Peihua Mai, Xuanrong Gao, Youlong Ding +3LLM Inference Optimization Shared Control
1National University of Singapore (Chongqing) Research Institute · 2Chongqing Key Laboratory of Trusted Perception and Interaction Technology for Intelligent and Connected Vehicles, Chongqing, China · 3National University of Singapore +3
Shared Doubt: Zero-Shot Cross-Lingual Confidence Estimation for Language Models
May 29, 2026Athina Kyriakou, Dennis Ulmer, Ivan TitovConfidence Estimation Zero-Shot
° ILCC, University of Edinburgh · M ILLC, University of Amsterdam
Latent Cache Flow: Model-to-Model Communication Without Text
May 19, 2026Maximillian Rossi, Prajwal Raghunath, Eugene WuLarge Language Model Agents Latent Flow
Columbia University
Proximal State Nudging: Reducing Skill Atrophy from AI Assistance
May 19, 2026Megha Srivastava, Jonathan Ouyang, Eric Zhou +6Unsupervised Skill Discovery Proximal Policy Optimization
Stanford University, Stanford, CA, USA. · University of California Los Angeles, Los Angeles, CA, USA. · Toyota Research Institute, Los Altos, CA, USA.
G-SHARE: A Guideline-Based Structured Reasoning Framework for Human-Factor Event Diagnosis
May 7, 2026Xingyu Xiao, Mao Du, Jiejuan Tong +2Diagnostic Framework Nuclear Fusion
Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing, 100084, China · Fujian Fuqing Nuclear Power Co., Ltd., Fujian, 350318, China · National Key Laboratory of Human Factors Engineering, Beijing, 100094, China
ipc_shared_ptr: A Publish/Subscribe-Aware Smart Pointer for Cross-Process Object Lifetime Management
May 5, 2026Takahiro Ishikawa-Aso, Atsushi Yano, Koichi Imai +2Robot Operating System Shared Control
The University of Tokyo, Japan · Saitama University, Japan · TIER IV Incorporated, Japan
Passive Variable Impedance For Shared Control
Apr 22, 2026Maximilian Mühlbauer, Nepomuk Werner, Ribin Balachandran +4Impedance Control Robotic Manipulator
School of Computation, Information and Technology, Sensor Based Robotic Systems and Intelligent Assistance Systems, Technical University Munich, Friedrich-Ludwig-Bauer-Str. 3, Garching, Germany. · German Aerospace Center (DLR), Robotics and Mechatronics Center (RMC), Münchener Str. 20, 82234 Weßling, Germany.
LLMs Know They're Wrong and Agree Anyway: The Shared Sycophancy-Lying Circuit
Apr 21, 2026Manav PandeySycophancy Confabulation
Georgia Institute of Technology
Brain Score Tracks Shared Properties of Languages: Evidence from Many Natural Languages and Structured Sequences
Apr 16, 2026Jingnong Qu, Ashvin Ranjan, Shane Steinert-ThrelkeldNatural Language Processing Model Activations
University of Washington
Neutral Substrates: A Design Constraint for Shared Records Under Persistent Interpretive Disagreement
Jan 8, 2026Denise M. CaseAccountability Shared Control
Department of Computer Science and Information Systems Northwest Missouri State University, Maryville, MO, USA
LoRAShield: Data-Free Editing Alignment for Secure Personalized LoRA Sharing
Jul 5, 2025Jiahao Chen, Junhao Li, Yiming Wang +6Adversarial Prompts Text-To-Image Diffusion Models
Zhejiang University College of Computer Science and Technology Hangzhou, China · Guizhou Medical University School of Biology and Engineering Guiyang, China · Zhejiang University School of Software Technology Ningbo, China +1

Sep 30, 2026, cs.LGJ/K move · Enter open · S save

Shared Phase and Retention Control for Efficient Adaptive Spectral Recurrence

Wentao Wang, Hengyu Zhong, Yunhan Jiang, Jialiang An+1

Peking University · GigaAI

Frequency-Aware Regularization Sequence Modeling Retention Shared Control

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As new evidence arrives, a sequence model must update what it remembers and how memory influences predictions. While Transformers incur computation and cache costs scaling with context length, fixed-state recurrent models offer constant-memory inference. However, linear and spectral recurrences traditionally rely on static transitions, failing to dynamically revise how stored representations decay or rotate. While recent selective architectures introduce input-dependent transitions, they assign independent controls to every memory mode, coupling control cost to state capacity. We show that high-dimensional spectral memory does not require high-dimensional control, and introduce Shared Phase and Retention Control for Efficient Adaptive Spectral Recurrence (SPARC). SPARC employs just two input-dependent scalar signals to coordinate memory retention and phase rotation across heterogeneous complex modes, while preserving mode-specific baseline timescales and frequencies. Its diagonal affine recurrence supports parallel associative scans for sequence-level BPTT as well as exact structured Real-Time Recurrent Learning (RTRL) for online credit assignment. Across partially observable continuous control, POPGym, and sequence classification, SPARC achieves a 9.09% relative return improvement on Walker-P and a 1.36% relative accuracy gain on FordA over second-best methods. On an NVIDIA Blackwell GPU, our implementation reduces recurrent-mixer training latency by 18.2%-34.2% in fixed-token workloads and accelerates scans by 3.1x-4.7x over an optimized RG-LRU baseline. These results show that two shared control signals can efficiently govern adaptive spectral memory across online and full-sequence settings. Code is available at https://github.com/Botwwt/sparc.

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