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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7,921 to 7,980 of 20,177

LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling
Yuxin Chen, Chumeng Liang, Hangke Sui +4
cs.CLcs.LGarXiv:2604.11748v32026
Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial
Zhongwei Yu, Rasul Tutunov, Alexandre Max Maraval +13
cs.LGarXiv:2604.01328v32026
How Far Can Unsupervised RLVR Scale LLM Training?
Bingxiang He, Yuxin Zuo, Zeyuan Liu +18
cs.LGcs.CLarXiv:2603.08660v12026
Initialisation Determines the Basin: Efficient Codebook Optimisation for Extreme LLM Quantization
Ian W. Kennedy, Nafise Sadat Moosavi
cs.CLcs.LGarXiv:2604.08118v12026
DreamPartGen: Semantically Grounded Part-Level 3D Generation via Collaborative Latent Denoising
Tianjiao Yu, Xinzhuo Li, Muntasir Wahed +4
cs.CVcs.AIcs.LGarXiv:2603.19216v22026
Breaking the Capability Ceiling of LLM Post-Training by Reintroducing Markov States
Yurun Yuan, Tengyang Xie
cs.LGcs.AIcs.CLarXiv:2603.19987v12026
POLCA: Stochastic Generative Optimization with LLM
Xuanfei Ren, Allen Nie, Tengyang Xie +1
cs.LGcs.AIarXiv:2603.14769v12026
AgilePruner: An Empirical Study of Attention and Diversity for Adaptive Visual Token Pruning in Large Vision-Language Models
Changwoo Baek, Jouwon Song, Sohyeon Kim +1
cs.CVcs.LGarXiv:2603.01236v12026
Efficient Reasoning with Balanced Thinking
Yulin Li, Tengyao Tu, Li Ding +5
cs.AIcs.CLcs.LGarXiv:2603.12372v32026
SuperLocalMemory V3: Information-Geometric Foundations for Zero-LLM Enterprise Agent Memory
Varun Pratap Bhardwaj
cs.AIcs.IRcs.LGarXiv:2603.14588v12026
The Curse and Blessing of Mean Bias in FP4-Quantized LLM Training
Hengjie Cao, Zhendong Huang, Mengyi Chen +15
cs.LGcs.AIarXiv:2603.10444v22026
Spectral Condition for $μ$P under Width-Depth Scaling
Chenyu Zheng, Rongzhen Wang, Xinyu Zhang +1
cs.LGstat.MLarXiv:2603.00541v22026
Prescriptive Scaling Reveals the Evolution of Language Model Capabilities
Hanlin Zhang, Jikai Jin, Vasilis Syrgkanis +1
cs.LGcs.AIcs.CLarXiv:2602.15327v22026
Summaries:한국어
Learning from Trials and Errors: Reflective Test-Time Planning for Embodied LLMs
Yining Hong, Huang Huang, Manling Li +4
cs.LGcs.AIcs.CLarXiv:2602.21198v32026
FLAC: Maximum Entropy RL via Kinetic Energy Regularized Bridge Matching
Lei Lv, Yunfei Li, Yu Luo +2
cs.LGcs.AIarXiv:2602.12829v12026
TADA! Tuning Audio Diffusion Models through Activation Steering
Łukasz Staniszewski, Katarzyna Zaleska, Mateusz Modrzejewski +1
cs.SDcs.LGarXiv:2602.11910v22026
Vision Transformer Finetuning Benefits from Non-Smooth Components
Ambroise Odonnat, Laetitia Chapel, Romain Tavenard +1
cs.LGcs.CVstat.MLarXiv:2602.06883v32026
Dr. MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems
Lang Feng, Longtao Zheng, Shuo He +2
cs.LGcs.AIarXiv:2602.08847v12026
Approximation of Log-Partition Function in Policy Mirror Descent Induces Implicit Regularization for LLM Post-Training
Zhenghao Xu, Qin Lu, Changlong Yu +1
cs.LGarXiv:2602.05933v12026
Learning Rate Matters: Vanilla LoRA May Suffice for LLM Fine-tuning
Yu-Ang Lee, Ching-Yun Ko, Pin-Yu Chen +1
cs.LGcs.AIcs.CLarXiv:2602.04998v22026
Demystifying the Slash Pattern in Attention: The Role of RoPE
Yuan Cheng, Fengzhuo Zhang, Yunlong Hou +5
cs.LGcs.AIcs.CLarXiv:2601.08297v22026
Neural Predictor-Corrector: Solving Homotopy Problems with Reinforcement Learning
Jiayao Mai, Bangyan Liao, Zhenjun Zhao +6
cs.LGcs.CVarXiv:2602.03086v12026
On the Relationship Between Representation Geometry and Generalization in Deep Neural Networks
Sumit Yadav
cs.LGarXiv:2602.00130v22026
Grounding and Enhancing Informativeness and Utility in Dataset Distillation
Shaobo Wang, Yantai Yang, Guo Chen +5
cs.LGcs.AIarXiv:2601.21296v12026
UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities
Woongyeong Yeo, Kangsan Kim, Soyeong Jeong +2
cs.CLcs.AIcs.CVarXiv:2504.20734v52025
Summaries:한국어
HalluGuard: Demystifying Data-Driven and Reasoning-Driven Hallucinations in LLMs
Xinyue Zeng, Junhong Lin, Yujun Yan +4
cs.LGcs.AIarXiv:2601.18753v22026
FP8-RL: A Practical and Stable Low-Precision Stack for LLM Reinforcement Learning
Zhaopeng Qiu, Shuang Yu, Jingqi Zhang +4
cs.LGcs.CLarXiv:2601.18150v22026
Diffusion Policy Policy Optimization
Allen Z. Ren, Justin Lidard, Lars L. Ankile +6
cs.ROcs.LGarXiv:2409.00588v32024
Diffusion for World Modeling: Visual Details Matter in Atari
Eloi Alonso, Adam Jelley, Vincent Micheli +4
cs.LGcs.AIcs.CVarXiv:2405.12399v22024
The Faiss library
Matthijs Douze, Alexandr Guzhva, Chengqi Deng +6
cs.LGcs.CVcs.SEarXiv:2401.08281v42024
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Simian Luo, Yiqin Tan, Longbo Huang +2
cs.CVcs.LGarXiv:2310.04378v12023
Nougat: Neural Optical Understanding for Academic Documents
Lukas Blecher, Guillem Cucurull, Thomas Scialom +1
cs.LGcs.CVarXiv:2308.13418v12023
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
Ming Jin, Huan Yee Koh, Qingsong Wen +5
cs.LGcs.AIarXiv:2307.03759v32023
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters
Ching Chang, Wei-Yao Wang, Wen-Chih Peng +1
cs.LGarXiv:2308.08469v62023
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Rafael Rafailov, Archit Sharma, Eric Mitchell +3
cs.LGcs.AIcs.CLarXiv:2305.18290v32023
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
Zhiqing Sun, Yikang Shen, Qinhong Zhou +5
cs.LGcs.AIcs.CLarXiv:2305.03047v22023
Summaries:한국어
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
Andreas Blattmann, Robin Rombach, Huan Ling +4
cs.CVcs.LGarXiv:2304.08818v22023
Analyzing Leakage of Personally Identifiable Information in Language Models
Nils Lukas, Ahmed Salem, Robert Sim +3
cs.LGarXiv:2302.00539v42023
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang, Xingxing Zhang, Hang Su +1
cs.LGcs.AIcs.CVarXiv:2302.00487v32023
PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting
Hao Xue, Flora D. Salim
stat.MEcs.AIcs.CLarXiv:2210.08964v52022
Diffusion Models in Vision: A Survey
Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu +1
cs.CVcs.AIcs.LGarXiv:2209.04747v62022
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
Ishika Singh, Valts Blukis, Arsalan Mousavian +6
cs.ROcs.AIcs.CLarXiv:2209.11302v12022
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications
Deniz Gunduz, Zhijin Qin, Inaki Estella Aguerri +5
cs.ITcs.AIcs.LGarXiv:2207.09353v22022
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields
Ilyes Batatia, Dávid Péter Kovács, Gregor N. C. Simm +2
stat.MLcond-mat.mtrl-scics.LGarXiv:2206.07697v22022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia, William Chan, Saurabh Saxena +11
cs.CVcs.LGarXiv:2205.11487v12022
FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech
Alexis Conneau, Min Ma, Simran Khanuja +6
cs.CLcs.LGcs.SDarXiv:2205.12446v12022
Fast Sampling of Diffusion Models with Exponential Integrator
Qinsheng Zhang, Yongxin Chen
cs.LGarXiv:2204.13902v42022
Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang +17
cs.CLcs.AIcs.LGarXiv:2203.02155v12022
Summaries:한국어
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective
Steven Euijong Whang, Yuji Roh, Hwanjun Song +1
cs.LGarXiv:2112.06409v32021
Temporal Context Mining for Learned Video Compression
Xihua Sheng, Jiahao Li, Bin Li +3
cs.CVcs.LGeess.IVarXiv:2111.13850v22021
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers
Albert Gu, Isys Johnson, Karan Goel +4
cs.LGcs.AIarXiv:2110.13985v12021
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series
Astha Garg, Wenyu Zhang, Jules Samaran +2
cs.LGcs.AIstat.MLarXiv:2109.11428v12021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu, Weizhe Yuan, Jinlan Fu +3
cs.CLcs.AIcs.LGarXiv:2107.13586v12021
Spatio-temporal graph neural networks for multi-site PV power forecasting
Jelena Simeunović, Baptiste Schubnel, Pierre-Jean Alet +1
cs.LGeess.SParXiv:2107.13875v22021
A Survey of Uncertainty in Deep Neural Networks
Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali +11
cs.LGstat.MLarXiv:2107.03342v32021
SoundStream: An End-to-End Neural Audio Codec
Neil Zeghidour, Alejandro Luebs, Ahmed Omran +2
cs.SDcs.LGeess.ASarXiv:2107.03312v12021
Structured Denoising Diffusion Models in Discrete State-Spaces
Jacob Austin, Daniel D. Johnson, Jonathan Ho +2
cs.LGcs.AIcs.CLarXiv:2107.03006v32021
SpeechBrain: A General-Purpose Speech Toolkit
Mirco Ravanelli, Titouan Parcollet, Peter Plantinga +18
eess.AScs.AIcs.LGarXiv:2106.04624v12021
How Attentive are Graph Attention Networks?
Shaked Brody, Uri Alon, Eran Yahav
cs.LGarXiv:2105.14491v32021
Numerical Composition of Differential Privacy
Sivakanth Gopi, Yin Tat Lee, Lukas Wutschitz
cs.DScs.CRcs.LGarXiv:2106.02848v32021

Machine Learning

LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial

How Far Can Unsupervised RLVR Scale LLM Training?

Initialisation Determines the Basin: Efficient Codebook Optimisation for Extreme LLM Quantization

DreamPartGen: Semantically Grounded Part-Level 3D Generation via Collaborative Latent Denoising

Breaking the Capability Ceiling of LLM Post-Training by Reintroducing Markov States

POLCA: Stochastic Generative Optimization with LLM

AgilePruner: An Empirical Study of Attention and Diversity for Adaptive Visual Token Pruning in Large Vision-Language Models

Efficient Reasoning with Balanced Thinking

SuperLocalMemory V3: Information-Geometric Foundations for Zero-LLM Enterprise Agent Memory

The Curse and Blessing of Mean Bias in FP4-Quantized LLM Training

Spectral Condition for $μ$P under Width-Depth Scaling

Prescriptive Scaling Reveals the Evolution of Language Model Capabilities

Learning from Trials and Errors: Reflective Test-Time Planning for Embodied LLMs

FLAC: Maximum Entropy RL via Kinetic Energy Regularized Bridge Matching

TADA! Tuning Audio Diffusion Models through Activation Steering

Vision Transformer Finetuning Benefits from Non-Smooth Components

Dr. MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems

Approximation of Log-Partition Function in Policy Mirror Descent Induces Implicit Regularization for LLM Post-Training

Learning Rate Matters: Vanilla LoRA May Suffice for LLM Fine-tuning

Demystifying the Slash Pattern in Attention: The Role of RoPE

Neural Predictor-Corrector: Solving Homotopy Problems with Reinforcement Learning

On the Relationship Between Representation Geometry and Generalization in Deep Neural Networks

Grounding and Enhancing Informativeness and Utility in Dataset Distillation

UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities

HalluGuard: Demystifying Data-Driven and Reasoning-Driven Hallucinations in LLMs

FP8-RL: A Practical and Stable Low-Precision Stack for LLM Reinforcement Learning

Diffusion Policy Policy Optimization

Diffusion for World Modeling: Visual Details Matter in Atari

The Faiss library

Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Nougat: Neural Optical Understanding for Academic Documents

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision

Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models

Analyzing Leakage of Personally Identifiable Information in Language Models

A Comprehensive Survey of Continual Learning: Theory, Method and Application

PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting

Diffusion Models in Vision: A Survey

ProgPrompt: Generating Situated Robot Task Plans using Large Language Models

Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications

MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Fast Sampling of Diffusion Models with Exponential Integrator

Training language models to follow instructions with human feedback

Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective

Temporal Context Mining for Learned Video Compression

Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

Spatio-temporal graph neural networks for multi-site PV power forecasting

A Survey of Uncertainty in Deep Neural Networks

SoundStream: An End-to-End Neural Audio Codec

Structured Denoising Diffusion Models in Discrete State-Spaces

SpeechBrain: A General-Purpose Speech Toolkit

How Attentive are Graph Attention Networks?

Numerical Composition of Differential Privacy