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6 papers in the last four weeks, up 50% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 41

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LEARN-TS: LLM-Enhanced Alignment and Reconstruction with Normality Guidance for Multivariate Time-Series Anomaly Detection
Sep 30, 2026Jahyeob Koo, Kio Yun, Byoungmo Koo +1Time-Series Anomaly Detection Time Series
Department of Industrial and Management Engineering, Korea University Seoul, Republic of Korea
Prior-Driven Enhancements in 3D Gaussian Splatting: Normals and Depths Regularization
Sep 29, 2026Gyeonggwan Lee, Seunghwan Hong, Junghun SuhGeometric Priors Structure-From-Motion
AI R&D Team, KakaoMobility, Korea
Benign Overfitting for General Norms and Distributions
Sep 27, 2026Daniel Barzilai, Ohad ShamirOverfitting Spectral Norm
Weizmann Institute of Science · University of Toronto & Vector Institute
NeuralSRNF: Neural Square Root Normal Fields for the Statistical Shape Analysis and Generation of Nonrigid 3D and 4D Objects
Sep 23, 2026Awais Nizamani, Hamid Laga, Guanjin Wang +3Statistical Shape Model Surface Representation
Murdoch University, Perth, Australia · The University of Western Australia, Perth, Australia · The Johns Hopkins University, Maryland, US
Norm2Tex: Augmenting Visuo-Tactile Simulations with Texture
Sep 21, 2026Seongjin Bien, Débora Oliveira Makowski, Roberto Calandra +2Tactile Contact-Rich Dexterous Manipulation
University of Technology Nuremberg, Germany. · Technical University of Dresden, Germany. · Deggendorf Institute of Technology, Germany.
Guaranteed Low-Rank Tensor Recovery from Modewise Measurements via Normalized Block-Weighted Riemannian Gradient Descent
Sep 21, 2026Yushi Zhou, Feng ZhangLow-Rank Structure Convergence
School of Mathematics and Statistics, Southwest University, Chongqing, China.
Operational Regimes in Non-Convex Optimization: A Multiplier-Based Taxonomy
Aug 31, 2026Seyed Mohsen Kazemi, Ali Movaghar, Shaahin hessabiConvex Optimization Norm
Department of Computer Engineering, Sharif University of Technology, Azadi, Tehran, 11365-9517, Tehran, Iran.
Normalized Low-Rank Adaptation
Aug 31, 2026Jiale Kang, Ziyin Yue, Zheng Zhan +2Parameter-Efficient Adaptation Low-Rank Structure
1Yuanshi Intelligence · 3The Chinese University of Hong Kong · 2Microsoft Research +1
Follow the Norm: Accounting for Fine-Tuning and Prompt Effects on Model Rationales
Aug 13, 2026Long Hoang Nguyen, Brice Valentin Kok-Shun, Guangyu Du +1Artificial Intelligence Alignment Free-Form Textual Rationales
1Technical University of Munich · University of Auckland
Rethinking Normalization Placement for LLMs: Post-Norm under Curriculum Depth Growing
Aug 13, 2026Sheng Ren, Yadong Wang, Naiqiang Tan +7Batch Normalization Normalization
Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China · Didichuxing Co. Ltd, Beijing, China
Everyone Conforms, No One Believes: Pluralistic Ignorance in LLM Agent Populations
Aug 3, 2026Yashwanth YSConformity Social Dynamics
Language Technologies Institute, Carnegie Mellon University, Pittsburgh, USA
Not the Dimension, the Norm: What Matters in Gradient-Free Weight Perturbation of Language Models
Aug 3, 2026Taeyeong Kim, Ahhyun Kim, TaeHyeon Kim +1Model Weights Norm
Chosun University · Korea University Sejong Campus
Norm or Direction? Decoding Vision Mambas for High-Resolution Vision
Jul 21, 2026Jin Yu, Juyoun ParkMamba-Based Models Vision State Space Models
Center for Humanoid Research Korea Institute of Science and Technology
Muse: Representation Geometry of Muon Beyond Normalized Momentum
Jul 16, 2026Da Chang, Qiankun Shi, Lvgang Zhang +4Muon Representation Space
1Pengcheng Laboratory · 2Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences · University of Chinese Academy of Sciences +3
TreeSRNF: Square-Root Normal Fields for Generative Modelling of the Geometric and Structural Variability in Tree-like 3D Objects
Jul 15, 2026Tahmina Khanam, Hamid Laga, Mohammed Bennamoun +4Trees 3D Geometry
Murdoch University, WA, Australia. · University of Western Australia, WA, Australia. · Johns Hopkins University, USA.
AutoNorm: Understanding Adaptive Normalization in Transformers through Differentiable Gating
Jul 12, 2026Piyush Kaushik Bhattacharyya, Divyanshu Rai, Swastik Singh +3Batch Normalization Transformer Architectures
Validating LLMs in social science: Epistemic threats and emerging norms
Jul 8, 2026Meera Desai, Dallas Card, Abigail Z. JacobsComputational Social Science Large Language Model Reliability
School of Information, University of Michigan, Ann Arbor, USA · Center for the Study of Complex Systems, University of Michigan, Ann Arbor, USA.
Complexity of Normalized Persistence Problems for Topological Data Analysis and Local Hamiltonians
Jul 3, 2026Dominic Lowe, M. S. Kim, Roberto Bondesan +1Persistent Homology Np-Hard
Blackett Laboratory, Imperial College London, SW7 2AZ, United Kingdom · Department of Computing, Imperial College London, SW7 2AZ, United Kingdom · Yukawa Institute for Theoretical Physics & The Hakubi Center, Kyoto University, Japan
Optimization Dynamics Imprint Semantic Specificity in Contrastive Embedding Norms
Jun 29, 2026Ziwei Su, Junyu Ren, Victor VeitchContrastive Learning Cosine Similarity
University of Chicago
NormAct: A Benchmark for Hidden Social Norm Compliance in Embodied Planning
Jun 26, 2026Shiyun Zhao, Xinwei Song, Tianyu Guo +7Social Norms Norm
1State Key Laboratory of General Artificial Intelligence, Beijing Institute for General Artificial Intelligence (BIGAI) · 3ShanghaiTech University · 2China Academy of Information and Communications Technology
NormGuard: Reward-Preserving Norm Constraints in Flow-Matching Reinforcement Learning
Jun 26, 2026Tianlin Pan, Lianyu Pang, Cheng Da +4Reinforcement Fine-Tuning Norm
The Hong Kong University of Science and Technology · Kuaishou Technology · University of Chinese Academy of Sciences
Low-Rank Tensor Completion Based on Fractional Regularization with Ky Fan p-k Norm
Jun 17, 2026Shan Fan, Feng Zhang, Jianjun Wang +2Tensor Completion Low-Rank Structure
School of Mathematics and Statistics, Southwest University, Chongqing 400715, China · School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu 611731, China · Faculty of Computer Science and Control Engineering, Shenzhen University of Advanced Technology, Shenzhen 518055, China
LoSoNA: A Benchmark for Local Social Norm Adaptation in Group Conversations
Jun 12, 2026Mateusz Winiarek, Maksymilian Bilski, Mateusz JacniackiSocial Norms Chatbots
Humalike Research
CCBENCH: Assessing LLM Cultural Competence via Implicitly Signaled Norms using Health Queries
Jun 8, 2026Vasudha Varadarajan, Akhila Yerukola, Mona T. Diab +1Artificial Intelligence Models Norm
Carnegie Mellon University Pittsburgh, PA 15213, USA
Whose Norms? Disentangling Cultural and Personal Alignment in Large Language Models
Jun 5, 2026Angana Borah, Isabelle Augenstein, Rada MihalceaLarge Language Model Alignment Large Language Model Bias
University of Michigan - Ann Arbor · University of Copenhagen
Identifying Explicit Parsimonious Piece-wise Polynomial Relationships in Industrial time-series: Application to manipulator robots
May 27, 2026Mazen Alamir, Sacha ClavelSystem Identification Robotic Manipulator
Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, 38000 Grenoble, France · Staubli company. Auvergne-Rhône-Alpes, 74210, Faverges, France.
Reasoning and Planning with Dynamically Changing Norms
May 26, 2026Taylor Olson, Roberto Salas-Damian, Kenneth D. ForbusSocial Norms Artificial Intelligence Agents
University of Iowa · Northwestern University
From Norms to Indicators (N2I-RAG): An Agentic Retrieval-Augmented Generation Framework for Legal Indicator Computation
May 26, 2026Youssef Al Mouatamid, Marie Bonnin, Jihad ZahirHievi-Rag Agentic
LISI Laboratory, Cadi Ayyad University, Marrakesh, 40000, Morocco. · LEMAR, Univ Brest, Plouzane, F-29280, France. · IRD, Univ Brest, CNRS, Ifremer, LEMAR, Plouzane, F-29280, France. +1
Dual Prototype-Conditioned Diffusion Model for Scalable Multi-Class Unsupervised Anomaly Detection in Large Category Spaces
May 23, 2026Yaoxuan Feng, Yuxin Li, Weijiang Lv +5Multimodal Anomaly Detection Graph Anomaly Detection
National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, 710071, China.
Beyond Normal References: Discriminative Few-Shot Anomaly Detection
May 22, 2026Huan Wang, Jun Shen, Jun Yan +1Multimodal Anomaly Detection Norm
Singapore Management University, Singapore · University of Wollongong, Australia
Scale-Invariant Neural Network Optimization: Norm Geometry and Heavy-Tailed Noise
May 18, 2026Jiayu Zhang, Tianyi LinNeural Network Optimization Spectral Norm
Department of Industrial Engineering and Operations Research Columbia University
The fitness landscape of social norms in social dilemmas
May 13, 2026Maximilian Puelma TouzelGame Theory Social Norms
Mila - Quebec AI Institute Montréal, Canada
Is Video Anomaly Detection Misframed? Evidence from LLM-Based and Multi-Scene Models
May 12, 2026Furkan Mumcu, Michael J. Jones, Anoop Cherian +1Training-Free Video Anomaly Detection Fine-Grained Video Understanding
University of South Florida · Mitsubishi Electric Research Laboratories (MERL)
When Normality Shifts: Risk-Aware Test-Time Adaptation for Unsupervised Tabular Anomaly Detection
May 11, 2026Wei Huang, Hezhe Qiao, Kailai Zhang +3Graph Anomaly Detection Test-Time Adaptation
Learning Unified Representations of Normalcy for Time Series Anomaly Detection
May 10, 2026Prithul Sarker, Sushmita Sarker, Nicholas G. Murray +1Time-Series Anomaly Detection Graph Anomaly Detection
University of Nevada, Reno
SCENE: Recognizing Social Norms and Sanctioning in Group Chats
May 8, 2026Mateusz Jacniacki, Maksymilian BilskiSocial Norms Complex Societies
Humalike
Geometry Reinforced Efficient Attention Tuning Equipped with Normals for Robust Stereo Matching
Apr 10, 2026Jiahao Li, Xinhong Chen, Zhengmin Jiang +3Stereo Matching Synthetic-To-Real Domain Gap
Department of Computer Science, City University of Hong Kong, Hong Kong, China · Department of Computer Science, Southern Methodist University, Dallas, TX, 75205, USA · Hon Hai Research Institute
Fine-Tuning Integrity for Modern Neural Networks: Structured Drift Proofs via Norm, Rank, and Sparsity Certificates
Apr 6, 2026Zhenhang Shang, Yingzhe Yu, Kani ChenModel Fine-Tuning Zero-Knowledge Proofs
The Hong Kong University of Science and Technology, Hong Kong, China
On the $O(\frac{\sqrt{d}}{K^{1/4}})$ Convergence Rate of AdamW Measured by $\ell_1$ Norm
May 17, 2025Huan Li, Yiming Dong, Zhouchen LinAdam Convergence
Institute of Robotics and Automatic Information Systems, College of Artificial Intelligence, Nankai University, Tianjin, China. · National Key Lab of General AI, School of Intelligence Science and Technology, Peking University, Beijing, China.
Methods to integrate multinormals and compute classification measures
Dec 23, 2020Abhranil Das, Wilson S GeislerDiscriminative Norm
Department of Physics, The University of Texas at Austin · Center for Perceptual Systems, The University of Texas at Austin · Center for Theoretical and Computational Neuroscience, The University of Texas at Austin +1
Norms at a Price: Why RL-Based Alignment Can Promise Conditional Compliance at Best
Date pendingKevin Baum, Rūta Binkytė, Felix JahnCompliance Artificial Intelligence Alignment
German Research Center for Artificial Intelligence (DFKI), Saarbrücken · Institute for Ethics in Technology, Hamburg University of Technology (TUHH) · Oxford Internet Institute, University of Oxford

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

LEARN-TS: LLM-Enhanced Alignment and Reconstruction with Normality Guidance for Multivariate Time-Series Anomaly Detection

Jahyeob Koo, Kio Yun, Byoungmo Koo, Jun-Geol Baek

Department of Industrial and Management Engineering, Korea University Seoul, Republic of Korea

Time-Series Anomaly Detection Time Series Timestep Embeddings Norm Large Language Model Alignment

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Reconstruction errors in multivariate time-series anomaly detection may not reliably distinguish abnormal behavior from benign deviations. Language-derived semantics offer complementary context, but existing multimodal approaches may rely on time-associated paired textual information that is difficult to obtain consistently and is not provided by standard multivariate time-series anomaly detection benchmarks. This setting poses two challenges: (1) conditioning masked reconstruction on window-specific semantics without exposing exact numerical targets or anomaly-specific cues, and (2) using a window-independent concept of normality as a complementary semantic reference rather than an independent anomaly detector. We propose LLM-Enhanced Alignment and Reconstruction with Normality Guidance for Time Series (LEARN-TS), which uses a frozen language model to construct two role-separated semantic representations without requiring temporally paired external text. Window-specific observation semantics encode temporal and cross-variable context without exact numerical values to guide channel-shared patch-masked reconstruction. A fixed, dataset-agnostic normality prompt provides a window-independent semantic reference for aligning normal representations and estimating normality discrepancy. At inference, masking each temporal patch once yields timestamp-level reconstruction evidence, conditionally modulated by discrepancy from a separate unmasked view. Across four benchmarks, LEARN-TS achieves the highest mean performance in 13 of 16 dataset-metric comparisons. Controlled ablations examine observation conditioning, joint normality alignment and scoring, and reference content, showing dataset-dependent ranking benefits and modest average gains from semantic over random references.

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Latest papers 41