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Period ending 2026-09-21

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118 papers

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Different Layers, Different Manifolds: Module-Wise Weight-Space Geometry in Transformer Optimization
Jun 11, 2026Kirato YoshiharaManifolds Neural Network Optimization
Exploring How Agent Voice Accents Shape Human-AI Collaboration in K-12 Group Learning
Jun 11, 2026Prerna Ravi, Carúmey Stevens, Ben Hurt +3Collaboration Voice Agents
Designing AI-Supported Focus Groups: A Role x Modality Playbook
Jun 10, 2026Zhiqing Wang, Steven DowHuman-Ai Interaction Group
Orchestra-o1: Omnimodal Agent Orchestration
Jun 10, 2026Fan Zhang, Vireo Zhang, Shengju Qian +8Multimodal Agents Multi-Agent Orchestration Frameworks
Correcting Variable Importance Scored by Random Forests
Jun 9, 2026Guancheng Zhou, Haiping Xu, Jason Liu +1Random Forest Feature Importance
Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting
Jun 9, 2026Xingyu Zhang, Jingyao Wang, Xin Yu +4Smoothing Group
Beyond Individual Personas: Aligning Synthetic Dialogue to Population-Level Behavior Distributions
Jun 5, 2026Xinyi Liu, Rinat Khaziev, Hooshang Nayyeri +3Conversational Datasets Persona
The price of multi-group transductive learning
Jun 3, 2026Noah Bergam, Samuel Deng, Daniel HsuTransductive Active Labeling Multiclass Classification
GroupToM-Bench: Benchmarking Group Theory of Mind and Nonlinear Social Emergence in MLLMs
Jun 2, 2026Weidong Tang, Jierui Li, Yueling Hou +7Theory-Of-Mind Reasoning Group
Neural Networks Provably Learn Spectral Representations for Group Composition
Jun 2, 2026Jianliang He, Leda Wang, Fengzhuo Zhang +2Implicit Neural Representations Two-Layer Neural Networks
Inverse Critical Experiment Design via Gradient Optimization and a Multigroup Attention-Based Neural Network Architecture
Jun 1, 2026Will Savage, Logan Burnett, Dean PriceNuclear Fusion Generative Inverse Design
Mitigating Spurious Correlations with Memorization-Guided Dataset De-Biasing
Jun 1, 2026Arda Fazla, Abolfazl HashemiSpurious Correlations Invariance
Rank-Constrained Deep Matrix Completion for Group Recommendation
Jun 1, 2026Mubaraka Sani Ibrahim, Lehel Csató, Isah Charles SaiduTensor Completion Recommendation
SeeGroup: Multi-Layer Depth Estimation of Transparent Surfaces via Self-Determined Grouping
May 27, 2026Hongyu Wen, Jia DengDepth Estimation Dense Prediction
Multimodal Group Emotion Recognition In-the-Wild Towards a Privacy-Safe Non-Individual Approach
May 27, 2026Anderson AugusmaEmotion Recognition Group
SuiChat-CN: Benchmarking Contextual Suicide Risk Assessment in Chinese Group Chats
May 27, 2026Xiangyu Wang, Zhiwei Yu, Chengze Du +3Suicide Risk Social Media
TED: Related Party Transaction guided Tax Evasion Detection on Heterogeneous Graph
May 26, 2026Yiming Xu, Bin Shi, Bo Dong +3Text-Attributed Graph Anti-Money Laundering
GroupTravelBench: Benchmarking LLM Agents on Multi-Person Travel Planning
May 24, 2026Xiang Cheng, Yulan Hu, Lulu Zheng +4Tour Large Language Model Planning
Exploring Profiles of Cognitive Distortions Associated with Mental Health Disorders
May 24, 2026Alina Anikejeva, Kairit SirtsMental Health Effect Sizes
B-GRTO: Bootstrapped Group Relative Tool Optimization for Referring Segmentation
May 22, 2026Mario Markov, Stefan Maria Ailuro, Mohammad Mahdi +2Agentic Optimization Group
Advantage Collapse in Group Relative Policy Optimization: Diagnosis and Mitigation
May 20, 2026Xixiang He, Qiyao Sun, Ao Cheng +5Group Relative Policy Optimization Reinforcement Learning With Verifiable Reward
GroupAffect-4: A Multimodal Dataset of Four-Person Collaborative Interaction
May 19, 2026Meisam Jamshidi Seikavandi, Alice Modica, Anna Obara +10Affective Computing Multimodal Dataset
GUT-IS: A Data-Driven Approach to Integrating Constructs and Their Relations in Information Systems
May 18, 2026Maximilian Reinhardt, Jonas Scharfenberger, Burkhardt FunkStructural Equation Models Data-Driven
Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation
May 18, 2026Baoteng Li, Xianghao Zang, Xinran Wang +8Group Relative Policy Optimization Adaptive Sampling
SocialMemBench: Are AI Memory Systems Ready for Social Group Settings?
May 18, 2026Olukunle OwolabiConversational Benchmarks Agent Memory
Leveraging Error Diversity in Group Rollouts for Reinforcement Learning
May 17, 2026Wenpu Liu, Yuqi Xu, Weichu Xie +8Reinforcement Learning With Verifiable Reward Long Rollouts
Noise scheduling and linear dynamics in diffusion models on Lie groups
May 17, 2026Javad KomijaniLie Group Effective Field Theory
Interaction-Aware Influence Functions for Group Attribution
May 15, 2026Jaeseung Heo, Kyeongheung Yun, Youngbin Choi +3Efficient Influence Function Influence
GESD: Beyond Outcome-Oriented Fairness
May 14, 2026Gideon Popoola, John SheppardDisparities Explainability
GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party Conversations
May 14, 2026Jingbo Yang, Kwei-Herng Lai, Xiaowen Wang +3Agent Memory Conversational Benchmarks
Grid Games: The Power of Multiple Grids for Quantizing Large Language Models
May 12, 2026Vage Egiazarian, Erik Schultheis, Andrei Panferov +3Large Language Model Quantization Quantization
Fair Conformal Classification via Learning Representation-Based Groups
May 12, 2026Senrong Xu, Yanke Zhou, Yuhao Tan +5Fairness-Aware Learning Conformal Inference
Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization
May 12, 2026Xu Chu, Guanyu Wang, Zhijie Tan +4Order Matters Large Language Model Bias
PoHAR: Understanding Hyperlocal Human Activities with Pollution Sensor Networks
May 10, 2026Prasenjit Karmakar, Karthik Reddy, Sandip ChakrabortyHuman Activity Recognition Air Pollution
CoDistill-GRPO: A Co-Distillation Recipe for Efficient Group Relative Policy Optimization
May 9, 2026Soo Min Kwon, Ziteng Sun, Ananda Theertha Suresh +2Group Relative Policy Optimization Flow-Grpo
SCENE: Recognizing Social Norms and Sanctioning in Group Chats
May 8, 2026Mateusz Jacniacki, Maksymilian BilskiSocial Norms Social Dynamics
Gradient Starvation in Binary-Reward GRPO: Why Group-Mean Centering Fails and Why the Simplest Fix Works
May 8, 2026Wenhua Nie, Jianan Wu, Junlin Liu +6Group Relative Policy Optimization Group
Group of Skills: Group-Structured Skill Retrieval for Agent Skill Libraries
May 7, 2026Kun Zeng, Yu Huo, Siyu Zhang +6Agent Skill Ecosystems Agentic Retrieval
AGPO: Asymmetric Group Policy Optimization for Verifiable Reasoning and Search Ads Relevance at JD
May 7, 2026Yang Xu, Kun Yao, Yiming Deng +3Reinforcement Learning With Verifiable Reward Group Relative Policy Optimization
Truth or Tribe: How In-group Favoritism Prioritize Facts in Persona Agents
May 2, 2026Shijun Lei, Hongyu Wang, Yunji Liang +3Social Reasoning Persona
Towards Customized Multimodal Role-Play
May 1, 2026Chao Tang, Jianzong Wu, Qingyu Shi +5Multimodal Learning Group
Group Cognition Learning: Making Everything Better Through Governed Two-Stage Agents Collaboration
May 1, 2026Chunlei Meng, Pengbin Feng, Rong Fu +7Robust Multimodal Learning Cross-Modal Learning
TAFA-GSGC: Group-wise Scalable Point Cloud Geometry Compression with Progressive Residual Refinement
Apr 30, 2026Xiumei Li, Alexander Kopte, André KaupReconstruction Quality Diffusion Refinement
Latent-GRPO: Group Relative Policy Optimization for Latent Reasoning
Apr 30, 2026Jingcheng Deng, Zihao Wei, Liang Pang +4Efficient Latent Reasoning Group Relative Policy Optimization
Fake Plastic Voters: When Political Parties Can Use AI-Simulated Focus Groups
Apr 28, 2026Claudio Novelli, Javier Argota Sanchez-Vaquerizo, Jennifer Cyr +4Political Discourse Group
An Investigation of Linguistic Biases in LLM-Based Recommendations
Apr 28, 2026Nitin Venkateswaran, Jason Ang, Deep Adhikari +1Large Language Model Bias Multilingual Large Language Models
ArguAgent: AI-Supported Real-Time Grouping for Productive Argumentation in STEM Classrooms
Apr 25, 2026Jennifer Kleiman, Yizhu Gao, Xin Xia +4Abstract Argumentation Classrooms
SSG: Logit-Balanced Vocabulary Partitioning for LLM Watermarking
Apr 24, 2026Chenxi Gu, Xiaoning Du, John GrundyLarge Language Model Watermarks Watermarks
Multi-Agent Empowerment and Emergence of Complex Behavior in Groups
Apr 22, 2026Tristan Shah, Ilya Nemenman, Daniel Polani +1Intrinsic Motivation Emergence
FB-NLL: A Feature-Based Approach to Tackle Noisy Labels in Personalized Federated Learning
Apr 21, 2026Abdulmoneam Ali, Ahmed ArafaFederated Learning Noisy Labels
Continuous Focus Groups: A Longitudinal Method for Clinical HRI in Autism Care
Apr 20, 2026Ghiglino Davide, Foglino Caterina, Wykowska AgnieszkaAutism Spectrum Disorder Care
LAGS: Low-Altitude Gaussian Splatting with Groupwise Heterogeneous Graph Learning
Apr 18, 2026Yikun Wang, Yujie Wan, Wei Zuo +4Dynamic Scene Reconstruction Light Detection And Ranging
GAViD: A Large-Scale Multimodal Dataset for Context-Aware Group Affect Recognition from Videos
Apr 17, 2026Deepak Kumar, Abhishek Pratap Singh, Puneet Kumar +2Affective Computing Video Dataset
GRRM: Group Relative Reward Modeling for Machine Translation
Feb 15, 2026Sen Yang, Shanbo Cheng, Lu Xu +2Machine Translation Quality Machine Translation
F-GRPO: Don't Let Your Policy Learn the Obvious and Forget the Rare
Feb 6, 2026Daniil Plyusov, Alexey Gorbatovski, Boris Shaposhnikov +4Group Relative Policy Optimization Reinforcement Learning With Verifiable Reward
Room Scene Discovery and Grouping in Unstructured Vacation Rental Image Collections
Jun 30, 2025Vignesh Ram Nithin Kappagantula, Shayan HassantabarSingle Images Group
FairCoder: Probing LLM Bias in High-Stakes Decision Making via Coding Tasks
Jan 9, 2025Yongkang Du, Jen-tse Huang, Jieyu Zhao +1Large Language Model Bias High-Stakes Decision
A Group-Based Resource Allocation Model for the Fractional Knapsack Problem
Date pendingAbhinaba ChakrabortyKnapsack Constraint Token Budgets

Jun 11, 2026 · cs.LGJ/K move · Enter open · S save

Different Layers, Different Manifolds: Module-Wise Weight-Space Geometry in Transformer Optimization

Kirato Yoshihara

Weight-space geometry plays a central role in neural network optimization, yet manifold constraints are often applied uniformly across all weight matrices. In this work, we ask whether different transformer modules prefer different manifold geometries. We study Manifold Muon for GPT-2 pretraining and compare layer-wise assignments of Stiefel and DGram constraints across attention and MLP blocks. Our results show a clear asymmetry: constraining attention layers with Stiefel geometry while assigning DGram geometry to MLP layers gives the best performance among the tested configurations, whereas the inverted assignment and all-DGram configuration become unstable under the shared hyperparameter setting. We trace this failure to singular value growth in DGram-constrained attention weights, which can amplify attention logits and induce softmax saturation. These findings suggest that symmetry-aware and geometry-aware optimization for transformers should be module-specific rather than uniform.

Manifolds Neural Network Optimization Group

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