Machine Learning

Papers filed under cs.LG on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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1,081 to 1,140 of 20,014

Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management
Miao Lu, Weiwei Sun, Weihua Du +4
cs.CLcs.AIcs.LGarXiv:2510.06727v12025
GRPO-Guard: Mitigating Implicit Over-Optimization in Flow Matching via Regulated Clipping
Jing Wang, Jiajun Liang, Jie Liu +10
cs.CVcs.LGarXiv:2510.22319v22025
Premise Selection for Theorem Proving by Deep Graph Embedding
Mingzhe Wang, Yihe Tang, Jian Wang +1
cs.AIcs.LGcs.LOarXiv:1709.09994v12017
Predicting online extremism, content adopters, and interaction reciprocity
Emilio Ferrara, Wen-Qiang Wang, Onur Varol +2
cs.SIcs.LGphysics.soc-pharXiv:1605.00659v12016
Prosperity before Collapse: How Far Can Off-Policy RL Reach with Stale Data on LLMs?
Haizhong Zheng, Jiawei Zhao, Beidi Chen
cs.LGcs.AIarXiv:2510.01161v22025
No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping
Thanh-Long V. Le, Myeongho Jeon, Kim Vu +2
cs.CLcs.AIcs.LGarXiv:2509.21880v32025
MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer
Gino Brunner, Andres Konrad, Yuyi Wang +1
cs.SDcs.LGeess.ASarXiv:1809.07600v12018
3D Point Splatting for mmWave Radar Novel View Synthesis
Adnan Armouti, Yixuan Gao, Rajalakshmi Nandakumar
cs.CVcs.GRcs.LGarXiv:2609.11894v12026
Explainability Assistant: A Conversational XAI Interface for Interpreting Energy Consumption Models
Rodion Krjutškov, Eduard Barbu, Nikos Sakkas +1
cs.AIcs.LGarXiv:2609.11860v12026
Scale-Invariant Convolutional Neural Networks
Yichong Xu, Tianjun Xiao, Jiaxing Zhang +2
cs.CVcs.LGcs.NEarXiv:1411.6369v12014
Evaluating Time-Series Foundation Models and Multimodal Dietary Context for CGM Forecasting
Bowen Zhang, Hsiu-Wen Cheng, Hongyu Yang +9
stat.MLcs.LGarXiv:2609.11872v12026
Generative Marketing Mix Modeling: A Causal Inference Framework Linking GEO and GEM to Business Impact
Masahiro Kato, Daiki Honma, Taka Kato
stat.MLcs.AIcs.LGarXiv:2609.11915v12026
General Cutting Planes for Bound-Propagation-Based Neural Network Verification
Huan Zhang, Shiqi Wang, Kaidi Xu +5
cs.LGcs.CRcs.CVarXiv:2208.05740v22022
Language Models are Injective and Hence Invertible
Giorgos Nikolaou, Tommaso Mencattini, Donato Crisostomi +3
cs.LGcs.AIarXiv:2510.15511v42025
Near-Optimal Reinforcement Learning with Multi-Step Transition Lookahead
Corentin Pla, Hugo Richard, Marc Abeille +1
stat.MLcs.LGarXiv:2609.11807v12026
Large Language Model Hacking: Quantifying the Hidden Risks of Using LLMs for Text Annotation
Joachim Baumann, Paul Röttger, Aleksandra Urman +4
cs.CLcs.AIcs.LGarXiv:2509.08825v22025
ORCH: Organizational Principles Enable Collective Intelligence in Embodied AI
Zhengran Ji, Jonathan Hyun, Boyuan Chen
cs.MAcs.AIcs.LGarXiv:2609.11737v12026
Building py-kvcache: A Performance Characterization of External KV Caching for vLLM with NVMe SSDs
Joseph Kanichai, Tiziano De Matteis, Animesh Trivedi
cs.DCcs.LGarXiv:2609.11744v12026
Logit Refiner: Improving Visual Autoregressive Models via Intra-Scale Dependency Modeling
Meimingwei Li, Stefan Andreas Baumann, Felix Krause +1
cs.CVcs.AIcs.LGarXiv:2609.11804v12026
Differentially Private EEG Feature Anonymization: A Privacy-Utility Case Study in Clinical Neurophysiology
Noman Sadiq, Mohsen Toorani
cs.CRcs.LGeess.SParXiv:2609.11777v12026
Sparsity Regularized and Robust Mean Variance Portfolio Selection Under Ellipsoidal Uncertainty
Deniz Akkaya, Emre Can Yayla, Buse Şen +1
math.OCcs.LGstat.MLarXiv:2609.11749v12026
Plex: Towards Reliability using Pretrained Large Model Extensions
Dustin Tran, Jeremiah Liu, Michael W. Dusenberry +23
cs.LGstat.MLarXiv:2207.07411v12022
Bayesian Graph Neural Networks with Adaptive Connection Sampling
Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki +4
cs.LGstat.MLarXiv:2006.04064v32020
Geospatial Foundation Models Capture Health-Relevant Dimensions of Place Beyond Conventional Social Risk Indices
Nathaniel Hendrix, Carl Y. Zhang, Chris Heitzig +2
stat.APcs.LGarXiv:2609.11689v12026
Learning structural balance of graphs from quantum spectral features
Stefano Scali, Oleksandr Kyriienko
quant-phcond-mat.dis-nncs.LGarXiv:2609.11736v12026
Generalization Analysis of Distributed Kernel-based Robust Gradient Descent Algorithms
Jun-Yi Meng, Zheng-Chu Guo, Yuan Mao
stat.MLcs.LGmath.OAarXiv:2609.11712v12026
Evaluating Gemini Robotics Policies in a Veo World Simulator
Gemini Robotics Team, Krzysztof Choromanski, Coline Devin +20
cs.ROcs.AIcs.CVarXiv:2512.10675v22025
Reflex-Informed Neuromuscular Reinforcement Learning for Muscle-Driven Locomotion
Jian Zhou, Xingyu Zhang, Rui Ma +3
cs.ROcs.GRcs.LGarXiv:2609.11733v12026
Multimodal Taxonomic Conditioning for Generative Plankton Imagery
Daniela Ivanova, Ozgu Goksu, Nicolas Pugeault
cs.CVcs.LGarXiv:2609.11673v12026
VeRO: A Harness for Agents to Optimize Agents
Varun Ursekar, Apaar Shanker, Veronica Chatrath +2
cs.AIcs.CLcs.LGarXiv:2602.22480v42026
Learning to design drug-like molecules in three-dimensional space using deep generative models
Yibo Li, Jianfeng Pei, Luhua Lai
q-bio.QMcs.LGarXiv:2104.08474v12021
Can LLMs Beat Classical Hyperparameter Optimization Algorithms? A Study on autoresearch
Fabio Ferreira, Lucca Wobbe, Arjun Krishnakumar +2
cs.LGstat.MLarXiv:2603.24647v52026
Vidu S2: Real-Time Interactive, Editable, and Spatial Video Generation
Jintao Zhang, Kai Jiang, Jintao Chen +32
cs.CVcs.LGarXiv:2609.11638v12026
ZipCodec: Ultra-Low-Frame-Rate Streaming Speech Coding
Luca Della Libera, Cem Subakan, Mirco Ravanelli
cs.SDcs.AIcs.LGarXiv:2609.11642v12026
Great Models Think Alike and this Undermines AI Oversight
Shashwat Goel, Joschka Struber, Ilze Amanda Auzina +6
cs.LGcs.AIcs.CLarXiv:2502.04313v22025
WebInject: Prompt Injection Attack to Web Agents
Xilong Wang, John Bloch, Zedian Shao +3
cs.LGcs.AIcs.CLarXiv:2505.11717v42025
Distributed Optimization of Modular Production Systems using Model-based Reinforcement Learning with Inverse Models
Andreas Schwung, Steve Yuwono, Sofiene Lassoued +1
cs.AIcs.LGeess.SYarXiv:2609.11615v12026
Identifiability of Nonnegative Tensor Decompositions via Positive Scattering
Haoming Wang, Ming Yuan
stat.MLcs.LGmath.COarXiv:2609.11606v12026
A distribution-free certification framework for trustworthy crash-severity prediction
Amir Rafe, Subasish Das
stat.MLcs.LGarXiv:2609.11592v12026
Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach
William Lotter, Abdul Rahman Diab, Bryan Haslam +10
eess.IVcs.CVcs.LGarXiv:1912.11027v22019
AdaCliP: Adaptive Clipping for Private SGD
Venkatadheeraj Pichapati, Ananda Theertha Suresh, Felix X. Yu +2
cs.LGcs.CRstat.MLarXiv:1908.07643v22019
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
Yue Yu, Simiao Zuo, Haoming Jiang +3
cs.CLcs.LGarXiv:2010.07835v32020
ExGRPO: Learning to Reason from Experience
Runzhe Zhan, Yafu Li, Zhi Wang +5
cs.LGcs.AIcs.CLarXiv:2510.02245v22025
UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings
Zhibin Lan, Liqiang Niu, Fandong Meng +2
cs.LGcs.AIarXiv:2511.00405v22025
Published Unlearning Numbers Move Per Checkpoint, and Not Because the Removed Data Survives: An Audit of 263 Released Batch-Normalized Checkpoints
Junlong Shen Xingyu Li
cs.AIcs.LGarXiv:2609.11490v12026
Breaking the Central Bias: Spatially Partitioned Experts for Coordinate-Based Neuroevolution
Romain Claret, Arthur Gygax, Michael O'Neill +3
cs.NEcs.CVcs.LGarXiv:2609.11518v12026
Enabling Knowledge Graph Understanding at Scale with the EXplore Your Graphs ENgine (EXYGEN)
Harshdeep Singh, Yurui Zhu, Giovanni Colavizza +1
cs.AIcs.LGarXiv:2609.11569v12026
Risk-Averse Decision Making with Multi-Level Reliability Guarantees
Amirmohammad Farzaneh, Osvaldo Simeone
stat.MLcs.ITcs.LGarXiv:2609.11524v12026
The Path Not Taken: RLVR Provably Learns Off the Principals
Hanqing Zhu, Zhenyu Zhang, Hanxian Huang +11
cs.LGcs.AIarXiv:2511.08567v12025
Hologram Representation via Quadratic Phase Gaussian Splatting
Haolong Wang, Yicheng Zhan, Kaan Akşit +1
cs.GRcs.CVcs.LGarXiv:2609.11434v12026
Deep operator learning for efficient sampling from invariant measures of stochastic differential equations
Ling Guo, Lei Li, Jingtong Zhang
math.NAcs.LGarXiv:2609.11376v12026
Your Model Already Knows Don't Teach It, Learn to Ask It: Soft Prompting for Few-Shot Adaptation of Vision-Language Models
Gautam Rajendrakumar Gare, Siyi Li, Hewei Wang +5
cs.CVcs.AIcs.LGarXiv:2609.11310v12026
General Agentic Memory Via Deep Research
B. Y. Yan, Chaofan Li, Hongjin Qian +2
cs.CLcs.AIcs.IRarXiv:2511.18423v12025
Improving the Sensitivity of Gravitational Wave Detection with Weighted Conformal Prediction
Ann-Kristin Malz, Gregory Ashton, Nicolo Colombo
gr-qccs.LGstat.MLarXiv:2609.11401v12026
GR-RL: Going Dexterous and Precise for Long-Horizon Robotic Manipulation
Yunfei Li, Xiao Ma, Jiafeng Xu +18
cs.ROcs.LGarXiv:2512.01801v32025
A Hilbert-Valued Functional Decomposition Framework for Explaining Time-Dependent Outputs
Sophie Hanna Langbein, Niklas Koenen, Marvin N. Wright +1
stat.MLcs.LGarXiv:2609.11295v12026
A Two-Mirror Faceted Projection System for EUV Lithography
Vasiliy A. Es'kin, Egor V. Ivanov, Olga V. Martynova
physics.opticscs.LGphysics.app-pharXiv:2609.11299v12026
On the Optimal Weighted $\ell_2$ Regularization in Overparameterized Linear Regression
Denny Wu, Ji Xu
stat.MLcs.LGmath.STarXiv:2006.05800v42020
Learning Physics-guided Face Relighting under Directional Light
Thomas Nestmeyer, Jean-François Lalonde, Iain Matthews +1
cs.CVcs.GRcs.LGarXiv:1906.03355v22019
Cache-to-Cache: Direct Semantic Communication Between Large Language Models
Tianyu Fu, Zihan Min, Hanling Zhang +4
cs.CLcs.LGarXiv:2510.03215v22025

Machine Learning

Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management

GRPO-Guard: Mitigating Implicit Over-Optimization in Flow Matching via Regulated Clipping

Premise Selection for Theorem Proving by Deep Graph Embedding

Predicting online extremism, content adopters, and interaction reciprocity

Prosperity before Collapse: How Far Can Off-Policy RL Reach with Stale Data on LLMs?

No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping

MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer

3D Point Splatting for mmWave Radar Novel View Synthesis

Explainability Assistant: A Conversational XAI Interface for Interpreting Energy Consumption Models

Scale-Invariant Convolutional Neural Networks

Evaluating Time-Series Foundation Models and Multimodal Dietary Context for CGM Forecasting

Generative Marketing Mix Modeling: A Causal Inference Framework Linking GEO and GEM to Business Impact

General Cutting Planes for Bound-Propagation-Based Neural Network Verification

Language Models are Injective and Hence Invertible

Near-Optimal Reinforcement Learning with Multi-Step Transition Lookahead

Large Language Model Hacking: Quantifying the Hidden Risks of Using LLMs for Text Annotation

ORCH: Organizational Principles Enable Collective Intelligence in Embodied AI

Building py-kvcache: A Performance Characterization of External KV Caching for vLLM with NVMe SSDs

Logit Refiner: Improving Visual Autoregressive Models via Intra-Scale Dependency Modeling

Differentially Private EEG Feature Anonymization: A Privacy-Utility Case Study in Clinical Neurophysiology

Sparsity Regularized and Robust Mean Variance Portfolio Selection Under Ellipsoidal Uncertainty

Plex: Towards Reliability using Pretrained Large Model Extensions

Bayesian Graph Neural Networks with Adaptive Connection Sampling

Geospatial Foundation Models Capture Health-Relevant Dimensions of Place Beyond Conventional Social Risk Indices

Learning structural balance of graphs from quantum spectral features

Generalization Analysis of Distributed Kernel-based Robust Gradient Descent Algorithms

Evaluating Gemini Robotics Policies in a Veo World Simulator

Reflex-Informed Neuromuscular Reinforcement Learning for Muscle-Driven Locomotion

Multimodal Taxonomic Conditioning for Generative Plankton Imagery

VeRO: A Harness for Agents to Optimize Agents

Learning to design drug-like molecules in three-dimensional space using deep generative models

Can LLMs Beat Classical Hyperparameter Optimization Algorithms? A Study on autoresearch

Vidu S2: Real-Time Interactive, Editable, and Spatial Video Generation

ZipCodec: Ultra-Low-Frame-Rate Streaming Speech Coding

Great Models Think Alike and this Undermines AI Oversight

WebInject: Prompt Injection Attack to Web Agents

Distributed Optimization of Modular Production Systems using Model-based Reinforcement Learning with Inverse Models

Identifiability of Nonnegative Tensor Decompositions via Positive Scattering

A distribution-free certification framework for trustworthy crash-severity prediction

Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach

AdaCliP: Adaptive Clipping for Private SGD

Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach

ExGRPO: Learning to Reason from Experience

UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings

Published Unlearning Numbers Move Per Checkpoint, and Not Because the Removed Data Survives: An Audit of 263 Released Batch-Normalized Checkpoints

Breaking the Central Bias: Spatially Partitioned Experts for Coordinate-Based Neuroevolution

Enabling Knowledge Graph Understanding at Scale with the EXplore Your Graphs ENgine (EXYGEN)

Risk-Averse Decision Making with Multi-Level Reliability Guarantees

The Path Not Taken: RLVR Provably Learns Off the Principals

Hologram Representation via Quadratic Phase Gaussian Splatting

Deep operator learning for efficient sampling from invariant measures of stochastic differential equations

Your Model Already Knows Don't Teach It, Learn to Ask It: Soft Prompting for Few-Shot Adaptation of Vision-Language Models

General Agentic Memory Via Deep Research

Improving the Sensitivity of Gravitational Wave Detection with Weighted Conformal Prediction

GR-RL: Going Dexterous and Precise for Long-Horizon Robotic Manipulation

A Hilbert-Valued Functional Decomposition Framework for Explaining Time-Dependent Outputs

A Two-Mirror Faceted Projection System for EUV Lithography

On the Optimal Weighted $\ell_2$ Regularization in Overparameterized Linear Regression

Learning Physics-guided Face Relighting under Directional Light

Cache-to-Cache: Direct Semantic Communication Between Large Language Models