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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30,121 to 30,180 of 32,934

Scaling Spatial Intelligence with Multimodal Foundation Models
Zhongang Cai, Ruisi Wang, Chenyang Gu +26
cs.CVcs.AIcs.LGarXiv:2511.13719v42025
Autellix: An Efficient Serving Engine for LLM Agents as General Programs
Michael Luo, Xiaoxiang Shi, Colin Cai +8
cs.LGcs.AIcs.DCarXiv:2502.13965v12025
Boomerang Distillation Enables Zero-Shot Model Size Interpolation
Sara Kangaslahti, Nihal V. Nayak, Jonathan Geuter +3
cs.LGarXiv:2510.05064v22025
Where Do the Joules Go? Diagnosing Inference Energy Consumption
Jae-Won Chung, Ruofan Wu, Jeff J. Ma +1
cs.LGcs.DCarXiv:2601.22076v22026
Regression Language Models for Code
Yash Akhauri, Xingyou Song, Arissa Wongpanich +2
cs.CLcs.AIcs.LGarXiv:2509.26476v32025
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
Lu Han, Xu-Yang Chen, Han-Jia Ye +1
cs.LGarXiv:2404.14197v32024
Jamba: A Hybrid Transformer-Mamba Language Model
Opher Lieber, Barak Lenz, Hofit Bata +19
cs.CLcs.LGarXiv:2403.19887v22024
Towards Automated Kernel Generation in the Era of LLMs
Yang Yu, Peiyu Zang, Chi Hsu Tsai +11
cs.LGcs.CLarXiv:2601.15727v32026
RM -RF: Reward Model for Run-Free Unit Test Evaluation
Elena Bruches, Daniil Grebenkin, Mikhail Klementev +8
cs.SEcs.LGarXiv:2601.13097v12026
A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5
Xingjun Ma, Yixu Wang, Hengyuan Xu +18
cs.AIcs.CLcs.CVarXiv:2601.10527v22026
Mercury: Ultra-Fast Language Models Based on Diffusion
Inception Labs, Samar Khanna, Siddhant Kharbanda +10
cs.CLcs.AIcs.LGarXiv:2506.17298v12025
A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective
Xiangfei Qiu, Hanyin Cheng, Xingjian Wu +5
cs.LGarXiv:2502.10721v32025
What Large Language Models Know and What People Think They Know
Mark Steyvers, Heliodoro Tejeda, Aakriti Kumar +5
cs.LGcs.AIcs.CLarXiv:2401.13835v22024
FocalCodec-Stream: Streaming Low-Bitrate Speech Coding via Causal Distillation
Luca Della Libera, Cem Subakan, Mirco Ravanelli
cs.SDcs.AIcs.LGarXiv:2509.16195v12025
REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers
Xingjian Leng, Jaskirat Singh, Yunzhong Hou +3
cs.CVcs.LGarXiv:2504.10483v32025
AgentOCR: Reimagining Agent History via Optical Self-Compression
Lang Feng, Fuchao Yang, Feng Chen +5
cs.LGcs.AIarXiv:2601.04786v32026
xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations
Kaiyuan Chen, Yixin Ren, Yang Liu +30
cs.LGarXiv:2506.13651v12025
A Survey on Diffusion Language Models
Tianyi Li, Mingda Chen, Bowei Guo +1
cs.CLcs.AIcs.LGarXiv:2508.10875v32025
PCMind-2.1-Kaiyuan-2B Technical Report
Kairong Luo, Zhenbo Sun, Xinyu Shi +9
cs.CLcs.AIcs.LGarXiv:2512.07612v12025
TradingAgents: Multi-Agents LLM Financial Trading Framework
Yijia Xiao, Edward Sun, Di Luo +1
q-fin.TRcs.AIcs.CEarXiv:2412.20138v72024
S*: Test Time Scaling for Code Generation
Dacheng Li, Shiyi Cao, Chengkun Cao +6
cs.LGcs.AIarXiv:2502.14382v12025
ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data
Chengsen Wang, Qi Qi, Jingyu Wang +5
cs.CLcs.LGarXiv:2412.11376v12024
When Bad Data Leads to Good Models
Kenneth Li, Yida Chen, Fernanda Viégas +1
cs.LGcs.AIcs.CLarXiv:2505.04741v12025
Summaries:한국어
Learning coordinated badminton skills for legged manipulators
Yuntao Ma, Andrei Cramariuc, Farbod Farshidian +1
cs.ROcs.LGarXiv:2505.22974v22025
DexterityGen: Foundation Controller for Unprecedented Dexterity
Zhao-Heng Yin, Changhao Wang, Luis Pineda +11
cs.ROcs.AIcs.LGarXiv:2502.04307v12025
Multilingual Routing in Mixture-of-Experts
Lucas Bandarkar, Chenyuan Yang, Mohsen Fayyaz +2
cs.CLcs.AIcs.LGarXiv:2510.04694v22025
LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
Feng Li, Renrui Zhang, Hao Zhang +5
cs.CVcs.CLcs.LGarXiv:2407.07895v22024
Characterization of Large Language Model Development in the Datacenter
Qinghao Hu, Zhisheng Ye, Zerui Wang +9
cs.DCcs.LGarXiv:2403.07648v22024
Values in the Wild: Discovering and Analyzing Values in Real-World Language Model Interactions
Saffron Huang, Esin Durmus, Miles McCain +7
cs.CLcs.AIcs.CYarXiv:2504.15236v12025
R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcement Learning
Jiaxing Zhao, Xihan Wei, Liefeng Bo
cs.LGcs.CVarXiv:2503.05379v22025
L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning
Pranjal Aggarwal, Sean Welleck
cs.CLcs.AIcs.LGarXiv:2503.04697v22025
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
Yixin Liu, Kai Zhang, Yuan Li +9
cs.CVcs.AIcs.LGarXiv:2402.17177v32024
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Marianne Arriola, Aaron Gokaslan, Justin T. Chiu +5
cs.LGcs.AIarXiv:2503.09573v32025
EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty
Yuhui Li, Fangyun Wei, Chao Zhang +1
cs.LGcs.CLarXiv:2401.15077v32024
Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs
Dayu Yang, Tianyang Liu, Daoan Zhang +8
cs.CLcs.AIcs.LGarXiv:2502.19411v12025
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova +5
cs.CLcs.AIcs.LGarXiv:2401.12070v32024
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
Maya Bechler-Speicher, Ben Finkelshtein, Fabrizio Frasca +9
cs.LGcs.AIcs.NEarXiv:2502.14546v12025
mmBERT: A Modern Multilingual Encoder with Annealed Language Learning
Marc Marone, Orion Weller, William Fleshman +3
cs.CLcs.IRcs.LGarXiv:2509.06888v12025
Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination
Mingqi Wu, Zhihao Zhang, Qiaole Dong +11
cs.LGcs.AIcs.CLarXiv:2507.10532v32025
One Token to Fool LLM-as-a-Judge
Yulai Zhao, Haolin Liu, Dian Yu +4
cs.LGcs.CLarXiv:2507.08794v32025
House of Cards: Massive Weights in LLMs
Jaehoon Oh, Seungjun Shin, Dokwan Oh
cs.LGcs.AIcs.CLarXiv:2410.01866v22024
Maximizing Confidence Alone Improves Reasoning
Mihir Prabhudesai, Lili Chen, Alex Ippoliti +3
cs.LGcs.AIarXiv:2505.22660v42025
OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling
Zengzhi Wang, Fan Zhou, Xuefeng Li +1
cs.CLcs.AIcs.LGarXiv:2506.20512v12025
PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding
Wei Chow, Jiageng Mao, Boyi Li +3
cs.CVcs.AIcs.CLarXiv:2501.16411v22025
Reinforcement Learning from Human Feedback
Nathan Lambert
cs.LGarXiv:2504.12501v112025
Can large language models replace humans in the systematic review process? Evaluating GPT-4's efficacy in screening and extracting data from peer-reviewed and grey literature in multiple languages
Qusai Khraisha, Sophie Put, Johanna Kappenberg +2
cs.CLcs.AIcs.LGarXiv:2310.17526v22023
Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A Survey
Pranav Singh Chib, Pravendra Singh
cs.ROcs.AIcs.CVarXiv:2307.04370v22023
Imagine while Reasoning in Space: Multimodal Visualization-of-Thought
Chengzu Li, Wenshan Wu, Huanyu Zhang +5
cs.CLcs.CVcs.LGarXiv:2501.07542v12025
TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining
Jeffrey Li, Mohammadreza Armandpour, Iman Mirzadeh +8
cs.LGcs.CLarXiv:2504.02107v32025
What Can RL Bring to VLA Generalization? An Empirical Study
Jijia Liu, Feng Gao, Bingwen Wei +5
cs.LGarXiv:2505.19789v42025
LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs
Yunhui Xia, Wei Shen, Yan Wang +5
cs.LGcs.CLcs.SEarXiv:2504.14655v12025
From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review
Mohamed Amine Ferrag, Norbert Tihanyi, Merouane Debbah
cs.AIcs.LGarXiv:2504.19678v22025
Improved Baselines with Visual Instruction Tuning
Haotian Liu, Chunyuan Li, Yuheng Li +1
cs.CVcs.AIcs.CLarXiv:2310.03744v22023
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
An Yang, Beichen Zhang, Binyuan Hui +13
cs.CLcs.AIcs.LGarXiv:2409.12122v12024
Federated In-Context LLM Agent Learning
Panlong Wu, Kangshuo Li, Junbao Nan +1
cs.LGcs.AIcs.CLarXiv:2412.08054v12024
Neural Operators for Accelerating Scientific Simulations and Design
Kamyar Azizzadenesheli, Nikola Kovachki, Zongyi Li +3
cs.LGphysics.comp-pharXiv:2309.15325v52023
From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step
Yuntian Deng, Yejin Choi, Stuart Shieber
cs.CLcs.AIcs.LGarXiv:2405.14838v12024
Multi-modal Time Series Analysis: A Tutorial and Survey
Yushan Jiang, Kanghui Ning, Zijie Pan +7
cs.LGarXiv:2503.13709v12025
Understanding the planning of LLM agents: A survey
Xu Huang, Weiwen Liu, Xiaolong Chen +6
cs.AIcs.CLcs.LGarXiv:2402.02716v12024
PointVLA: Injecting the 3D World into Vision-Language-Action Models
Chengmeng Li, Junjie Wen, Yan Peng +3
cs.ROcs.CVcs.LGarXiv:2503.07511v12025

Machine Learning

Scaling Spatial Intelligence with Multimodal Foundation Models

Autellix: An Efficient Serving Engine for LLM Agents as General Programs

Boomerang Distillation Enables Zero-Shot Model Size Interpolation

Where Do the Joules Go? Diagnosing Inference Energy Consumption

Regression Language Models for Code

SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion

Jamba: A Hybrid Transformer-Mamba Language Model

Towards Automated Kernel Generation in the Era of LLMs

RM -RF: Reward Model for Run-Free Unit Test Evaluation

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

Mercury: Ultra-Fast Language Models Based on Diffusion

A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective

What Large Language Models Know and What People Think They Know

FocalCodec-Stream: Streaming Low-Bitrate Speech Coding via Causal Distillation

REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers

AgentOCR: Reimagining Agent History via Optical Self-Compression

xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations

A Survey on Diffusion Language Models

PCMind-2.1-Kaiyuan-2B Technical Report

TradingAgents: Multi-Agents LLM Financial Trading Framework

S*: Test Time Scaling for Code Generation

ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data

When Bad Data Leads to Good Models

Learning coordinated badminton skills for legged manipulators

DexterityGen: Foundation Controller for Unprecedented Dexterity

Multilingual Routing in Mixture-of-Experts

LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Characterization of Large Language Model Development in the Datacenter

Values in the Wild: Discovering and Analyzing Values in Real-World Language Model Interactions

R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcement Learning

L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty

Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs

Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text

Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks

mmBERT: A Modern Multilingual Encoder with Annealed Language Learning

Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination

One Token to Fool LLM-as-a-Judge

House of Cards: Massive Weights in LLMs

Maximizing Confidence Alone Improves Reasoning

OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reinforcement Learning from Human Feedback

Can large language models replace humans in the systematic review process? Evaluating GPT-4's efficacy in screening and extracting data from peer-reviewed and grey literature in multiple languages

Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A Survey

Imagine while Reasoning in Space: Multimodal Visualization-of-Thought

TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining

What Can RL Bring to VLA Generalization? An Empirical Study

LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review

Improved Baselines with Visual Instruction Tuning

Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Federated In-Context LLM Agent Learning

Neural Operators for Accelerating Scientific Simulations and Design

From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step

Multi-modal Time Series Analysis: A Tutorial and Survey

Understanding the planning of LLM agents: A survey

PointVLA: Injecting the 3D World into Vision-Language-Action Models