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.

Search paper metadata (including unsummarized papers)

19,681 to 19,740 of 20,192

Looped World Models
Hongyuan Adam Lu, Z. L. Victor Wei, Qun Zhang +28
cs.LGcs.AIcs.CLarXiv:2606.18208v12026
SAE Interventions are Unreliable: Post-Intervention Recovery of Suppressed Behavior
Mingyue Cui, Linghui Shen, Xingyi Yang
cs.LGcs.AIarXiv:2606.18322v12026
EfficientRollout: System-Aware Self-Speculative Decoding for RL Rollouts
Minseo Kim, Minjae Lee, Seunghyuk Oh +7
cs.LGarXiv:2606.18967v12026
BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation
Max Van Puyvelde, Ibrahim Gulluk, Wim Van Criekinge +1
cs.AIcs.CVcs.LGarXiv:2606.19651v22026
GateMem: Benchmarking Memory Governance in Multi-Principal Shared-Memory Agents
Zhe Ren, Yibo Yang, Yimeng Chen +7
cs.LGcs.CLarXiv:2606.18829v12026
Demystifying Hidden-State Recurrence: Switchable Latent Reasoning with On-Policy Reinforcement Learning
Jiayu Yang, Chao Chen, Shengen Wu +6
cs.LGcs.CLarXiv:2606.13106v12026
Q-RAG: Long Context Multi-step Retrieval via Value-based Embedder Training
Artyom Sorokin, Nazar Buzun, Alexander Anokhin +7
cs.LGcs.IRarXiv:2511.07328v22025
FedADB: Class Anchor-Driven Dual-Branch Federated Learning for Mitigating Forgetting
Zhenyan Liu, Hua Zhang, Haoran Gao +6
cs.CRcs.LGarXiv:2608.15310v12026
MyPCBench: A Benchmark for Personally Intelligent Computer-Use Agents
Lawrence Keunho Jang, Andrew Keunwoo Jang, Jing Yu Koh +1
cs.LGcs.CLarXiv:2606.16748v12026
Why Fine-Tuning Encourages Hallucinations and How to Fix It
Guy Kaplan, Zorik Gekhman, Zhen Zhu +5
cs.CLcs.AIcs.LGarXiv:2604.15574v12026
Diffusion Templates: A Unified Plugin Framework for Controllable Diffusion
Zhongjie Duan, Hong Zhang, Yingda Chen
cs.LGcs.AIcs.CVarXiv:2604.24351v12026
Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning
Chengshuai Shi, Wenzhe Li, Xinran Liang +10
cs.LGcs.AIcs.CLarXiv:2605.00347v12026
PianoCoRe: Combined and Refined Piano MIDI Dataset
Ilya Borovik
cs.SDcs.LGarXiv:2605.06627v12026
CreativityBench: Evaluating Agent Creative Reasoning via Affordance-Based Tool Repurposing
Cheng Qian, Hyeonjeong Ha, Jiayu Liu +10
cs.AIcs.CLcs.LGarXiv:2605.02910v22026
MARBLE: Multi-Aspect Reward Balance for Diffusion RL
Canyu Zhao, Hao Chen, Yunze Tong +3
cs.CVcs.LGarXiv:2605.06507v12026
Continuous Quantum Feedback Control via Kraus-Parameterized Belief Reinforcement Learning
Priyanshi Singh, Krishna Bhatia
quant-phcs.LGarXiv:2608.15715v12026
SCALE: State-Calibrated Latent Embeddings for JEPA Planning in the Right Geometry
Jiaming Hu, Yan Zheng, Tian Wang
cs.LGarXiv:2608.16287v12026
How Many Samples Are Needed to Determine Causal Direction? Sharp Minimax Bounds for Bivariate LiNGAM
Jikai Jin
math.STcs.LGecon.EMarXiv:2608.15840v12026
FeatCal: Feature Calibration for Post-Merging Models
Yanggan Gu, Shuo Cai, Zihao Wang +7
cs.LGcs.AIarXiv:2605.13030v12026
Conformal Agent Error Attribution
Naihe Feng, Yi Sui, Shiyi Hou +2
cs.LGcs.MAarXiv:2605.06788v12026
SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training
Shengkun Tang, Zekun Wang, Bo Zheng +7
cs.LGcs.AIcs.CLarXiv:2605.08738v22026
TD3B: Transition-Directed Discrete Diffusion for Allosteric Binder Generation
Hanqun Cao, Aastha Pal, Sophia Tang +4
q-bio.BMcs.LGarXiv:2605.09810v12026
Learning Visual Feature-Based World Models via Residual Latent Action
Xinyu Zhang, Zhengtong Xu, Yutian Tao +3
cs.CVcs.AIcs.LGarXiv:2605.07079v12026
Normalizing Trajectory Models
Jiatao Gu, Tianrong Chen, Ying Shen +3
cs.CVcs.LGarXiv:2605.08078v22026
F-GRPO: Factorized Group-Relative Policy Optimization for Unified Candidate Generation and Ranking
Rohan Surana, Gagan Mundada, Junda Wu +9
cs.LGarXiv:2605.12995v12026
Video2GUI: Synthesizing Large-Scale Interaction Trajectories for Generalized GUI Agent Pretraining
Weimin Xiong, Shuhao Gu, Bowen Ye +5
cs.CLcs.AIcs.CVarXiv:2605.14747v12026
Inferential Evaluation of Surrogate-Derived Models under Covariate Shift
Longtian Shi, Molei Liu, Doudou Zhou
stat.MLcs.LGstat.AParXiv:2608.15783v12026
A Banach-Space Theory of Markovian Halpern Iteration for Non-Expansive Maps
Ege C. Kaya, Arda Fazla, M. Berk Sahin +1
cs.LGmath.OCarXiv:2608.15966v12026
Decorrelation Is Not Complementarity: Skill, Not Lineage, Governs Trusted-Monitor Ensembles
Anik Jha
cs.CRcs.LGarXiv:2608.16190v12026
SkillComposer: Learning Reusable Skills for Natural-Language Robot Programming
John Woods, Hasti Seifi
cs.ROcs.CLcs.LGarXiv:2608.14944v12026
Invariant Pretraining for Robust Code Representations
Yifeng He, Yundi Xu, Christopher Castro Gaw Gonzalo +2
cs.LGcs.AIcs.SEarXiv:2608.15412v12026
Data-Driven Reconstruction of Spatially Resolved Electron and Ion Energy Distributions from Macroscopic Plasma Quantities with Deep Neural Networks
Libin Varghese, Kaushik Prajapati, Bhaskar Chaudhury
physics.plasm-phcs.LGphysics.comp-pharXiv:2608.16519v12026
Self-Routed Tensor Adapters for Parameter-Efficient Universal Visual Adaptation
Suraj Yadav
cs.CVcs.LGarXiv:2608.16384v12026
Whose Gold? Annotator-Pool Disagreement Is Large at the Item Level, and Hidden by Small Leaderboards
Anik Jha
cs.CLcs.LGarXiv:2608.15980v12026
Data-Efficient and Interpretable Classification of Circulating Tumor Cell Phenotypes in Microfluidic Devices via Deep Learning
Serena Su, Yifan Wang, Senwei Liang
cs.LGarXiv:2608.16870v12026
AutoSR: Automatic Symbolic Regression by Searching Research States
Kejia Zhang, Youran Sun, Xinyu Ren +2
cs.SCcs.AIcs.LGarXiv:2608.16876v12026
MiNO: Cotangent-bundle propagator learning for PDEs
Gnankan Landry Regis N'guessan, Bum Jun Kim
cs.LGcs.CEmath.NAarXiv:2608.15187v12026
Self-Supervised Auxiliary Task Discovery for Stable Reinforcement Learning in Stock Trading
Arishi Orra, Himanshu Choudhary, Manoj Thakur
cs.LGq-fin.CPstat.MLarXiv:2608.15841v12026
Learning Stock Trading Policies via Barycenter-Based Adversarial Inverse Reinforcement Learning
Arishi Orra, Himanshu Choudhary, Manoj Thakur
cs.LGstat.MLarXiv:2608.15770v12026
SchurQuant: Groupwise Discrete Optimization for Layer-Wise LLM Quantization
Gunjun Lee, Sehwan Son, Younjoo Lee +2
cs.LGarXiv:2608.15567v12026
Ask to Be Sure: Informative Interactions for Confident Multi-Turn LLM Recommendation
Cedar Site Bai, Duanshun Li, Zhenyu Liao +6
cs.IRcs.AIcs.CLarXiv:2608.15949v12026
FirstDiff: One-Step Diffusion-Based Anomaly Detection for Multivariate Time Series via Initial Noise Prediction
Ali Boudaghi, Alireza Nemati, Hadi Zare
cs.LGcs.AIstat.MLarXiv:2608.15727v12026
When Is Shallow Enough? Adaptive Split Federated Learning with Client-Specific Sufficiency Estimation
Wenhao Yuan, Chenchen Lin, Wenhao Hu +4
cs.DCcs.AIcs.LGarXiv:2608.15639v12026
TRACE: A Unified Rollout Budget Allocation Framework for Efficient Agentic Reinforcement Learning
Heming Zou, Qi Wang, Yun Qu +9
cs.LGcs.AIcs.CLarXiv:2606.11119v12026
Skip a Layer or Loop It? Learning Program-of-Layers in LLMs
Ziyue Li, Yang Li, Tianyi Zhou
cs.LGarXiv:2606.06574v22026
$S^3$: A Smooth Simulation Surrogate for Optimizing Discrete Abstractions of Dynamical Systems
Jordan Peper, James Mathias Gast, Vignesh Nanduri +3
eess.SYcs.LGarXiv:2608.15920v12026
The Null Token Knows: Reducing Message-Free Hallucination in ASR and NMT
Kirill Borodin, Vasiliy Kudryavtsev, Ivan Viakhirev +1
cs.CLcs.LGcs.SDarXiv:2608.15940v22026
Beat the Counter First: A Baseline for Temporal-Graph Anomaly Detectors
Omair Shafi Ahmed, Zohair Shafi
cs.LGarXiv:2608.15965v12026
TinyCast: Probabilistic Zero-Shot Forecasting with Computed Periodicity
Armin Steinhauser
cs.LGcs.AIarXiv:2608.15767v12026
When Should Models Change Their Minds? Contextual Belief Management in Large Language Models
Haoming Xu, Weihong Xu, Zongrui Li +6
cs.AIcs.CLcs.LGarXiv:2605.30219v12026
Machine Learning Approaches to Decoding Topological Quantum Codes
Changwon Lee, Tak Hur, Jeongwoo Jae +1
quant-phcs.LGarXiv:2608.15760v12026
PERO: Efficient Robust Post-Training Foundation Models for Encrypted Traffic Classification
Wumei Du, Jiarong Wen, Kaiyu Zhang +5
cs.LGstat.MLarXiv:2608.15504v12026
Feasible and Novel Synthetic Population Generation with Tabular and Sequential Travel Attributes
Farbod Abbasi, Zachary Patterson, Bilal Farooq
cs.LGcs.AIarXiv:2608.15867v12026
DeltaLog: Deferred Materialization of Recurrent States for Linear Attention Decoding
Junqing Lin, Jingwei Sun, Guangzhong Sun
cs.DCcs.LGarXiv:2608.15533v12026
UniFed-VLM: Federated Instruction Tuning for Vision-Language Models with Multiple Heterogeneity
Pengyu Wang, Baochen Xiong, Xiaoshan Yang +4
cs.LGarXiv:2608.15516v12026
Domain-Agnostic Neural Topic Modeling with Contextual Token-Level Semantic Graph Representation
Seung-Won Seo, Won Ik Cho, Yongmin Yoo
cs.CLcs.LGarXiv:2608.16269v12026
ComboStoc: Combinatorial Stochasticity for Diffusion Generative Models
Rui Xu, Jiepeng Wang, Hao Pan +6
cs.LGcs.AIcs.CVarXiv:2405.13729v32024
Co-Evolving Policy Distillation
Naibin Gu, Chenxu Yang, Qingyi Si +7
cs.LGarXiv:2604.27083v12026
Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning
Xuekang Wang, Zhuoyuan Hao, Shuo Hou +3
cs.LGcs.AIcs.CLarXiv:2606.04923v22026
Flash-WAM: Modality-Aware Distillation for World Action Models
Arman Akbari, Ci Zhang, Arash Akbari +6
cs.LGcs.CVcs.ROarXiv:2606.05254v12026

Machine Learning

Looped World Models

SAE Interventions are Unreliable: Post-Intervention Recovery of Suppressed Behavior

EfficientRollout: System-Aware Self-Speculative Decoding for RL Rollouts

BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation

GateMem: Benchmarking Memory Governance in Multi-Principal Shared-Memory Agents

Demystifying Hidden-State Recurrence: Switchable Latent Reasoning with On-Policy Reinforcement Learning

Q-RAG: Long Context Multi-step Retrieval via Value-based Embedder Training

FedADB: Class Anchor-Driven Dual-Branch Federated Learning for Mitigating Forgetting

MyPCBench: A Benchmark for Personally Intelligent Computer-Use Agents

Why Fine-Tuning Encourages Hallucinations and How to Fix It

Diffusion Templates: A Unified Plugin Framework for Controllable Diffusion

Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning

PianoCoRe: Combined and Refined Piano MIDI Dataset

CreativityBench: Evaluating Agent Creative Reasoning via Affordance-Based Tool Repurposing

MARBLE: Multi-Aspect Reward Balance for Diffusion RL

Continuous Quantum Feedback Control via Kraus-Parameterized Belief Reinforcement Learning

SCALE: State-Calibrated Latent Embeddings for JEPA Planning in the Right Geometry

How Many Samples Are Needed to Determine Causal Direction? Sharp Minimax Bounds for Bivariate LiNGAM

FeatCal: Feature Calibration for Post-Merging Models

Conformal Agent Error Attribution

SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training

TD3B: Transition-Directed Discrete Diffusion for Allosteric Binder Generation

Learning Visual Feature-Based World Models via Residual Latent Action

Normalizing Trajectory Models

F-GRPO: Factorized Group-Relative Policy Optimization for Unified Candidate Generation and Ranking

Video2GUI: Synthesizing Large-Scale Interaction Trajectories for Generalized GUI Agent Pretraining

Inferential Evaluation of Surrogate-Derived Models under Covariate Shift

A Banach-Space Theory of Markovian Halpern Iteration for Non-Expansive Maps

Decorrelation Is Not Complementarity: Skill, Not Lineage, Governs Trusted-Monitor Ensembles

SkillComposer: Learning Reusable Skills for Natural-Language Robot Programming

Invariant Pretraining for Robust Code Representations

Data-Driven Reconstruction of Spatially Resolved Electron and Ion Energy Distributions from Macroscopic Plasma Quantities with Deep Neural Networks

Self-Routed Tensor Adapters for Parameter-Efficient Universal Visual Adaptation

Whose Gold? Annotator-Pool Disagreement Is Large at the Item Level, and Hidden by Small Leaderboards

Data-Efficient and Interpretable Classification of Circulating Tumor Cell Phenotypes in Microfluidic Devices via Deep Learning

AutoSR: Automatic Symbolic Regression by Searching Research States

MiNO: Cotangent-bundle propagator learning for PDEs

Self-Supervised Auxiliary Task Discovery for Stable Reinforcement Learning in Stock Trading

Learning Stock Trading Policies via Barycenter-Based Adversarial Inverse Reinforcement Learning

SchurQuant: Groupwise Discrete Optimization for Layer-Wise LLM Quantization

Ask to Be Sure: Informative Interactions for Confident Multi-Turn LLM Recommendation

FirstDiff: One-Step Diffusion-Based Anomaly Detection for Multivariate Time Series via Initial Noise Prediction

When Is Shallow Enough? Adaptive Split Federated Learning with Client-Specific Sufficiency Estimation

TRACE: A Unified Rollout Budget Allocation Framework for Efficient Agentic Reinforcement Learning

Skip a Layer or Loop It? Learning Program-of-Layers in LLMs

$S^3$: A Smooth Simulation Surrogate for Optimizing Discrete Abstractions of Dynamical Systems

The Null Token Knows: Reducing Message-Free Hallucination in ASR and NMT

Beat the Counter First: A Baseline for Temporal-Graph Anomaly Detectors

TinyCast: Probabilistic Zero-Shot Forecasting with Computed Periodicity

When Should Models Change Their Minds? Contextual Belief Management in Large Language Models

Machine Learning Approaches to Decoding Topological Quantum Codes

PERO: Efficient Robust Post-Training Foundation Models for Encrypted Traffic Classification

Feasible and Novel Synthetic Population Generation with Tabular and Sequential Travel Attributes

DeltaLog: Deferred Materialization of Recurrent States for Linear Attention Decoding

UniFed-VLM: Federated Instruction Tuning for Vision-Language Models with Multiple Heterogeneity

Domain-Agnostic Neural Topic Modeling with Contextual Token-Level Semantic Graph Representation

ComboStoc: Combinatorial Stochasticity for Diffusion Generative Models

Co-Evolving Policy Distillation

Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning

Flash-WAM: Modality-Aware Distillation for World Action Models