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)

18,061 to 18,120 of 20,454

(1D) Ordered Tokens Enable Efficient Test-Time Search
Zhitong Gao, Parham Rezaei, Ali Cy +7
cs.CVcs.AIcs.LGarXiv:2604.15453v12026
AccelOpt: A Self-Improving LLM Agentic System for AI Accelerator Kernel Optimization
Genghan Zhang, Shaowei Zhu, Anjiang Wei +6
cs.LGcs.CLarXiv:2511.15915v22025
Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges
Xiaohua Wang, Muzhao Tian, Yuqi Zeng +20
cs.LGarXiv:2604.13602v12026
Where does output diversity collapse in post-training?
Constantinos Karouzos, Xingwei Tan, Nikolaos Aletras
cs.CLcs.AIcs.LGarXiv:2604.16027v12026
GFT: From Imitation to Reward Fine-Tuning with Unbiased Group Advantages and Dynamic Coefficient Rectification
Wangjie Gan, Miao Pan, Linbo Xi +4
cs.AIcs.LGarXiv:2604.14258v32026
An Optimal Transport-driven Approach for Cultivating Latent Space in Online Incremental Learning
Quyen Tran, Hai Nguyen, Hoang Phan +6
cs.LGcs.CVarXiv:2211.16780v42022
LongAct: Harnessing Intrinsic Activation Patterns for Long-Context Reinforcement Learning
Bowen Ping, Zijun Chen, Tingfeng Hui +4
cs.LGcs.CLarXiv:2604.14922v12026
PRL-Bench: A Comprehensive Benchmark Evaluating LLMs' Capabilities in Frontier Physics Research
Tingjia Miao, Wenkai Jin, Muhua Zhang +19
cs.LGcs.AIphysics.data-anarXiv:2604.15411v12026
Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips
Ido Galil, Moshe Kimhi, Ran El-Yaniv
cs.LGcs.AIcs.CVarXiv:2502.07408v22025
PerturbRx: Learning Treatment-Conditioned Latent Transitions for Patient Drug Response Prediction
Yoshitaka Inoue, Minoh Jeong, Alfred Hero +2
q-bio.QMcs.LGarXiv:2608.21349v12026
TwinTrack: Post-hoc Multi-Rater Calibration for Medical Image Segmentation
Tristan Kirscher, Alexandra Ertl, Klaus Maier-Hein +3
cs.LGarXiv:2604.15950v22026
Stargazer: A Scalable Model-Fitting Benchmark Environment for AI Agents under Astrophysical Constraints
Xinge Liu, Terry Jingchen Zhang, Bernhard Schölkopf +2
cs.LGcs.AIarXiv:2604.15664v22026
Structured Scaling of AI Discovery Across Diverse Scientific Domains
Haotian Ye, Haowei Lin, Jingyi Tang +30
cs.LGcs.AIarXiv:2604.19341v22026
Advanced Linear Algebra with Applications - Part I (Numerical linear algebra for PDEs, machine learning, and data assimilation)
Victorita Dolean, Jemima Tabeart
math.NAcs.LGarXiv:2608.21234v12026
The Exceedance Design Effect: Effective Sample Size for Thresholds under Clustering
Adam Noonan
stat.MLcs.LGarXiv:2608.21262v12026
EasyVideoR1: Easier RL for Video Understanding
Chuanyu Qin, Chenxu Yang, Qingyi Si +6
cs.CVcs.LGarXiv:2604.16893v12026
Truthful Calibration Measures for Sequential Prediction
Anagha Gokul, Jason Hartline, Lunjia Hu +2
cs.DScs.GTcs.LGarXiv:2608.21348v12026
Test-Time Adaptation for EEG Foundation Models: A Systematic Study under Real-World Distribution Shifts
Gabriel Jason Lee, Jathurshan Pradeepkumar, Jimeng Sun
cs.LGcs.AIeess.SParXiv:2604.16926v22026
Agents Explore but Agents Ignore: LLMs Lack Environmental Curiosity
Leon Engländer, Sophia Althammer, Ahmet Üstün +2
cs.CLcs.LGarXiv:2604.17609v12026
Just Repair: A Minimal Denoising Network for Time Series Anomaly Detection
Kadir-Kaan Özer, René Ebeling, Markus Enzweiler
cs.LGcs.AIarXiv:2604.17388v32026
On the Transferability of Agricultural Weed Detection Under Cross-Field Distribution Shift
Nikhilesh Prabhakar, Pranuthi Tenali, Wilfredo Abudeye Fernandez +5
cs.CVcs.LGarXiv:2608.21254v12026
When Can LLMs Learn to Reason with Weak Supervision?
Salman Rahman, Jingyan Shen, Anna Mordvina +3
cs.LGcs.AIarXiv:2604.18574v12026
MathNet: a Global Multimodal Benchmark for Mathematical Reasoning and Retrieval
Shaden Alshammari, Kevin Wen, Abrar Zainal +5
cs.AIcs.DLcs.IRarXiv:2604.18584v22026
Event-triggered Implicit Perturbation for Zeroth-Order Fine-Tuning of Spiking Transformers
Tengteng Lei, Prabodh Katti, Rashi Dutt +5
cs.ARcs.LGcs.NEarXiv:2608.21223v12026
UDM-GRPO: Stable and Efficient Group Relative Policy Optimization for Uniform Discrete Diffusion Models
Jiaqi Wang, Haoge Deng, Ting Pan +5
cs.CVcs.LGarXiv:2604.18518v42026
Daedalus-150M: A Convolution-Attention Hybrid Designed for CPU Inference
Christos Koutsiaris
cs.IRcs.AIcs.CLarXiv:2608.20210v12026
Accurate and scalable exchange-correlation with deep learning
Giulia Luise, Chin-Wei Huang, Thijs Vogels +25
physics.chem-phcs.AIcs.CEarXiv:2506.14665v62025
From a Static Multi-Level Small Semantic Codebook to a Dynamic Single-Level Large Semantic Codebook for Generative Recommendation
Tianlu Xie, Xin Ku, Mingjie Sun +8
cs.IRcs.LGarXiv:2608.21012v12026
CubicSplat: Differentiable Vector Graphics via Error-Bounded Forward Relaxation
Chenglong Liu, Xin Zhang, Yimeng Zhu +5
cs.GRcs.CVcs.LGarXiv:2608.20803v12026
Chat2Workflow: A Benchmark for Generating Executable Visual Workflows with Natural Language
Yi Zhong, Buqiang Xu, Yijun Wang +4
cs.CLcs.AIcs.CVarXiv:2604.19667v22026
Training DeepFilterNet with Accurate Room Acoustic Simulations Improves Single-Channel Speech Enhancement
Alessia Milo, Georg Götz, Steinar Guðjónsson +3
eess.AScs.LGphysics.comp-pharXiv:2608.20971v12026
Rethinking Demonstration Unlearning in Imitation Learning for Robotics
Jiazhuo Li, Yu Zhang, Yiming Fei +4
cs.ROcs.LGarXiv:2608.20784v12026
Fine-tuning LLMs for Tourist Trajectory Prediction using Field Experiment Data
Tatsuya Amano, Hirozumi Yamaguchi
cs.CYcs.LGarXiv:2608.20830v12026
Learning Prostate Anatomy at Test Time for Cancer Detection in Micro-Ultrasound
Obed Korshie Dzikunu, Mohammad Mahdi Abootorabi, Mohamed Harmanani +7
cs.CVcs.LGarXiv:2608.20557v12026
Keyed Provenance Watermarking with Complementary Lattice-Based Secure Aggregation for Federated Learning
Xinyun Liu, Zhi Lu, Yu Chen +1
cs.CRcs.LGarXiv:2608.20580v12026
Interpretable Information-Decomposed Brain Graph Learning for fMRI-based Disease Diagnosis
Dengyi Zhao, Zhiheng Zhou, Zihan Wang +2
q-bio.NCcs.LGarXiv:2608.20380v12026
Keep Your Friends Close, and the Right Neighbours Closer: Disaster-Conditioned Kernel-Regularized Graph Attention for Building Damage Classification
Fuad Hasan, Chul Min Yeum
cs.CVcs.LGarXiv:2608.20548v12026
Rethinking Expressivity and Efficiency in Test-Time Training
Zeyun Zhong, Joya Chen, Manuel Martin +3
cs.LGarXiv:2608.21308v12026
Asymmetric Capacity Allocation in Self-Refinement Pipelines
Zhuoyi Yang, Ian G. Harris, Salar Hashemitaheri +7
cs.LGarXiv:2608.21345v12026
Time-Aware Tranformer-Based Prediction Model for AECOPD
Weihao Qu, Ling Zheng, Dongyang Wang +2
cs.LGarXiv:2608.21324v12026
Human-JEPA: A Human-Centric Vision Model that Perceives and Anticipates
Hui Wei, Licai Sun, Guoying Zhao
cs.CVcs.LGarXiv:2608.21160v12026
RDP LoRA: Geometry-Driven Identification for Parameter-Efficient Adaptation in Large Language Models
Yusuf Çelebi, Yağız Asker, Özay Ezerceli +4
cs.LGcs.AIcs.CLarXiv:2604.19321v12026
AudioWorldSim: Realistic Binaural Audio Datasets For World Models
Luis Vitor Zerkowski, Luiz Velho
cs.SDcs.LGarXiv:2608.21075v12026
Sharing the Control Authority Between Deep Reinforcement Learning and Model Predictive Control: Application to Multi-Class Transportation Networks
Giray Onur, Azita Dabiri, Bart De Schutter
eess.SYcs.LGarXiv:2608.20858v12026
TEMPO: Scaling Test-time Training for Large Reasoning Models
Qingyang Zhang, Xinke Kong, Haitao Wu +7
cs.LGarXiv:2604.19295v12026
Uncertainty propagation in auto-regressive random neural network models
Janice Adams, Daniele Venturi
stat.MLcs.LGcs.NEarXiv:2608.20483v12026
Predicting Resource Efficient Hamiltonian Decomposition for Continuous-Time Quantum Walk Simulations
Mostafa Atallah, Rebekah Herrman, Zain H. Saleem
quant-phcs.LGarXiv:2608.20660v12026
MMCORE: MultiModal COnnection with Representation Aligned Latent Embeddings
Zijie Li, Yichun Shi, Jingxiang Sun +8
cs.CVcs.AIcs.LGarXiv:2604.19902v12026
aiXamine: Unified Black-Box Evaluation of Cross-Dimensional Trade-offs in LLM Safety, Security, and Privacy
Fatih Deniz, Yazan Boshmaf, Dorde Popovic +1
cs.CRcs.LGarXiv:2608.20554v12026
Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts
Chaitanya Dwivedi, Binxuan Huang, Himanshu Gupta +3
cs.LGcs.AIarXiv:2604.19835v22026
DR-Venus: Towards Frontier Edge-Scale Deep Research Agents with Only 10K Open Data
Venus Team, Sunhao Dai, Yong Deng +10
cs.LGcs.AIcs.CLarXiv:2604.19859v12026
Robust Discovery of Coarse-Grained Continuum Equations from Microscopic Dynamics
Partha Sarathi Mondal, Manav Kumar Jalan, Anish Kumar +1
cond-mat.softcond-mat.stat-mechcs.LGarXiv:2608.20404v12026
SkillLearnBench: Benchmarking Continual Learning Methods for Agent Skill Generation on Real-World Tasks
Shanshan Zhong, Yi Lu, Jingjie Ning +7
cs.CLcs.LGarXiv:2604.20087v12026
COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling
Noah Flynn
cs.LGcs.AIcs.CLarXiv:2604.20720v12026
Harmonic Torsional Diffusion for Protein-Ligand Flexible Docking
Maksim Zhdanov, Pavel Strashnov, Vladislav Kurenkov
q-bio.BMcs.LGarXiv:2608.20366v12026
Across-Design Uncertainty in Short Pricing Panels: Evidence from Simulated Price Trajectories
Pedro Cadahia Delgado
cs.LGecon.EMarXiv:2608.21334v12026
SPARCL: Spectral Partitioned Analytic Continual Learning
James Hartley, Zeropy Surio, Daniel Whitmore +2
cs.LGarXiv:2608.21307v12026
Temporally Extended Mixture-of-Experts Models
Zeyu Shen, Peter Henderson
cs.LGarXiv:2604.20156v12026
Tydra: An Efficient Hybrid Model for Tabular Data
Mieszko Komisarczyk, Saurabh Mathur, Maurice Kraus +2
cs.LGarXiv:2608.21199v12026
Capturing Cardiac Cyclicity through Phase-Equivariant Self-Supervised Learning
Blaise Delaney, Dominic Dootson, Juan Jose Juan Castella +5
cs.LGarXiv:2608.21147v12026

Machine Learning

(1D) Ordered Tokens Enable Efficient Test-Time Search

AccelOpt: A Self-Improving LLM Agentic System for AI Accelerator Kernel Optimization

Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges

Where does output diversity collapse in post-training?

GFT: From Imitation to Reward Fine-Tuning with Unbiased Group Advantages and Dynamic Coefficient Rectification

An Optimal Transport-driven Approach for Cultivating Latent Space in Online Incremental Learning

LongAct: Harnessing Intrinsic Activation Patterns for Long-Context Reinforcement Learning

PRL-Bench: A Comprehensive Benchmark Evaluating LLMs' Capabilities in Frontier Physics Research

Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips

PerturbRx: Learning Treatment-Conditioned Latent Transitions for Patient Drug Response Prediction

TwinTrack: Post-hoc Multi-Rater Calibration for Medical Image Segmentation

Stargazer: A Scalable Model-Fitting Benchmark Environment for AI Agents under Astrophysical Constraints

Structured Scaling of AI Discovery Across Diverse Scientific Domains

Advanced Linear Algebra with Applications - Part I (Numerical linear algebra for PDEs, machine learning, and data assimilation)

The Exceedance Design Effect: Effective Sample Size for Thresholds under Clustering

EasyVideoR1: Easier RL for Video Understanding

Truthful Calibration Measures for Sequential Prediction

Test-Time Adaptation for EEG Foundation Models: A Systematic Study under Real-World Distribution Shifts

Agents Explore but Agents Ignore: LLMs Lack Environmental Curiosity

Just Repair: A Minimal Denoising Network for Time Series Anomaly Detection

On the Transferability of Agricultural Weed Detection Under Cross-Field Distribution Shift

When Can LLMs Learn to Reason with Weak Supervision?

MathNet: a Global Multimodal Benchmark for Mathematical Reasoning and Retrieval

Event-triggered Implicit Perturbation for Zeroth-Order Fine-Tuning of Spiking Transformers

UDM-GRPO: Stable and Efficient Group Relative Policy Optimization for Uniform Discrete Diffusion Models

Daedalus-150M: A Convolution-Attention Hybrid Designed for CPU Inference

Accurate and scalable exchange-correlation with deep learning

From a Static Multi-Level Small Semantic Codebook to a Dynamic Single-Level Large Semantic Codebook for Generative Recommendation

CubicSplat: Differentiable Vector Graphics via Error-Bounded Forward Relaxation

Chat2Workflow: A Benchmark for Generating Executable Visual Workflows with Natural Language

Training DeepFilterNet with Accurate Room Acoustic Simulations Improves Single-Channel Speech Enhancement

Rethinking Demonstration Unlearning in Imitation Learning for Robotics

Fine-tuning LLMs for Tourist Trajectory Prediction using Field Experiment Data

Learning Prostate Anatomy at Test Time for Cancer Detection in Micro-Ultrasound

Keyed Provenance Watermarking with Complementary Lattice-Based Secure Aggregation for Federated Learning

Interpretable Information-Decomposed Brain Graph Learning for fMRI-based Disease Diagnosis

Keep Your Friends Close, and the Right Neighbours Closer: Disaster-Conditioned Kernel-Regularized Graph Attention for Building Damage Classification

Rethinking Expressivity and Efficiency in Test-Time Training

Asymmetric Capacity Allocation in Self-Refinement Pipelines

Time-Aware Tranformer-Based Prediction Model for AECOPD

Human-JEPA: A Human-Centric Vision Model that Perceives and Anticipates

RDP LoRA: Geometry-Driven Identification for Parameter-Efficient Adaptation in Large Language Models

AudioWorldSim: Realistic Binaural Audio Datasets For World Models

Sharing the Control Authority Between Deep Reinforcement Learning and Model Predictive Control: Application to Multi-Class Transportation Networks

TEMPO: Scaling Test-time Training for Large Reasoning Models

Uncertainty propagation in auto-regressive random neural network models

Predicting Resource Efficient Hamiltonian Decomposition for Continuous-Time Quantum Walk Simulations

MMCORE: MultiModal COnnection with Representation Aligned Latent Embeddings

aiXamine: Unified Black-Box Evaluation of Cross-Dimensional Trade-offs in LLM Safety, Security, and Privacy

Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts

DR-Venus: Towards Frontier Edge-Scale Deep Research Agents with Only 10K Open Data

Robust Discovery of Coarse-Grained Continuum Equations from Microscopic Dynamics

SkillLearnBench: Benchmarking Continual Learning Methods for Agent Skill Generation on Real-World Tasks

COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling

Harmonic Torsional Diffusion for Protein-Ligand Flexible Docking

Across-Design Uncertainty in Short Pricing Panels: Evidence from Simulated Price Trajectories

SPARCL: Spectral Partitioned Analytic Continual Learning

Temporally Extended Mixture-of-Experts Models

Tydra: An Efficient Hybrid Model for Tabular Data

Capturing Cardiac Cyclicity through Phase-Equivariant Self-Supervised Learning