Artificial Intelligence

Papers filed under cs.AI 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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6,541 to 6,600 of 15,345

Learning to Invert: Signal Recovery via Deep Convolutional Networks
Ali Mousavi, Richard G. Baraniuk
stat.MLcs.AIcs.ITarXiv:1701.03891v12017
Theory-guided Data Science: A New Paradigm for Scientific Discovery from Data
Anuj Karpatne, Gowtham Atluri, James Faghmous +6
cs.LGcs.AIstat.MLarXiv:1612.08544v22016
Understanding Deep Neural Networks with Rectified Linear Units
Raman Arora, Amitabh Basu, Poorya Mianjy +1
cs.LGcond-mat.dis-nncs.AIarXiv:1611.01491v62016
Deep Visual Foresight for Planning Robot Motion
Chelsea Finn, Sergey Levine
cs.LGcs.AIcs.CVarXiv:1610.00696v22016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin
cs.LGcs.AIstat.MLarXiv:1602.04938v32016
Learning Human Activities and Object Affordances from RGB-D Videos
Hema Swetha Koppula, Rudhir Gupta, Ashutosh Saxena
cs.ROcs.AIcs.CVarXiv:1210.1207v22012
A Linear-Programming Approximation of AC Power Flows
Carleton Coffrin, Pascal Van Hentenryck
cs.AImath.OCarXiv:1206.3614v32012
Experimental Comparison of Representation Methods and Distance Measures for Time Series Data
Xiaoyue Wang, Hui Ding, Goce Trajcevski +2
cs.AIarXiv:1012.2789v12010
R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization
Jingyi Zhang, Jiaxing Huang, Huanjin Yao +4
cs.AIcs.CLcs.CVarXiv:2503.12937v22025
StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing
StarVLA Community
cs.ROcs.AIcs.CVarXiv:2604.05014v12026
RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
Zihan Wang, Kangrui Wang, Qineng Wang +15
cs.LGcs.AIcs.CLarXiv:2504.20073v22025
Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning
LASA Team, Weiwen Xu, Hou Pong Chan +16
cs.CLcs.AIcs.CVarXiv:2506.07044v42025
TradingAgents: Multi-Agents LLM Financial Trading Framework
Yijia Xiao, Edward Sun, Di Luo +1
q-fin.TRcs.AIcs.CEarXiv:2412.20138v72024
TAVA: Template-free Animatable Volumetric Actors
Ruilong Li, Julian Tanke, Minh Vo +4
cs.CVcs.AIarXiv:2206.08929v22022
Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence
Diankun Wu, Fangfu Liu, Yi-Hsin Hung +1
cs.CVcs.AIcs.LGarXiv:2505.23747v22025
Summaries:한국어
KernelBench: Can LLMs Write Efficient GPU Kernels?
Anne Ouyang, Simon Guo, Simran Arora +4
cs.LGcs.AIcs.PFarXiv:2502.10517v12025
SWE-smith: Scaling Data for Software Engineering Agents
John Yang, Kilian Lieret, Carlos E. Jimenez +7
cs.SEcs.AIcs.CLarXiv:2504.21798v22025
Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs
Xumeng Wen, Zihan Liu, Shun Zheng +9
cs.AIcs.CLarXiv:2506.14245v22025
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly
Kirthevasan Kandasamy, Karun Raju Vysyaraju, Willie Neiswanger +5
stat.MLcs.AIcs.LGarXiv:1903.06694v22019
SimpleMem: Efficient Lifelong Memory for LLM Agents
Jiaqi Liu, Yaofeng Su, Peng Xia +5
cs.AIarXiv:2601.02553v32026
TokenSkip: Controllable Chain-of-Thought Compression in LLMs
Heming Xia, Chak Tou Leong, Wenjie Wang +2
cs.CLcs.AIarXiv:2502.12067v32025
Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions
Yuanzhe Hu, Yu Wang, Julian McAuley
cs.CLcs.AIarXiv:2507.05257v42025
MAGI-1: Autoregressive Video Generation at Scale
Sand. ai, Hansi Teng, Hongyu Jia +36
cs.CVcs.AIarXiv:2505.13211v12025
Chronos-2: From Univariate to Universal Forecasting
Abdul Fatir Ansari, Oleksandr Shchur, Jaris Küken +20
cs.LGcs.AIstat.MLarXiv:2510.15821v12025
Layer by Layer: Uncovering Hidden Representations in Language Models
Oscar Skean, Md Rifat Arefin, Dan Zhao +4
cs.LGcs.AIcs.CLarXiv:2502.02013v22025
The Offset Tree for Learning with Partial Labels
Alina Beygelzimer, John Langford
cs.LGcs.AIarXiv:0812.4044v32008
Does Reasoning Mitigate Backdoor Attacks? A Neuro-Symbolic Perspective
Marco Antonio Corallo, Andrea Agiollo, Mauro Conti +1
cs.CRcs.AIarXiv:2609.00464v12026
Improving Video Generation with Human Feedback
Jie Liu, Gongye Liu, Jiajun Liang +14
cs.CVcs.AIcs.GRarXiv:2501.13918v22025
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models
Qiguang Chen, Libo Qin, Jinhao Liu +7
cs.AIcs.CLarXiv:2503.09567v52025
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Shih-Yang Liu, Xin Dong, Ximing Lu +10
cs.CLcs.AIcs.LGarXiv:2601.05242v12026
CHARM: Character Hallucination for Multicultural Role Play Benchmark
Sunkyung Han, Nahyeon Park, Gaeun Seo +2
cs.CLcs.AIarXiv:2609.01352v12026
Neuro-Symbolic Geometric Abstraction (NeuSOGA): From Observations to Symbolic Mathematical Representations
Qingde Li, Qingqi Hong, Zihan Li +1
cs.AIcs.CVcs.GRarXiv:2609.01408v22026
FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving
Zihao Ye, Lequn Chen, Ruihang Lai +8
cs.DCcs.AIcs.LGarXiv:2501.01005v22025
WorldBench: Culturally Grounded Benchmark for Multilingual Agents
Leonardo Ranaldi, Sherrie Shen, Jushi Kai +1
cs.AIcs.CLarXiv:2609.01056v12026
LLaDA2.0: Scaling Up Diffusion Language Models to 100B
Tiwei Bie, Maosong Cao, Kun Chen +28
cs.LGcs.AIcs.CLarXiv:2512.15745v22025
Attribution Patching Outperforms Automated Circuit Discovery
Aaquib Syed, Can Rager, Arthur Conmy
cs.LGcs.AIcs.CLarXiv:2310.10348v22023
Meta-Learning without Memorization
Mingzhang Yin, George Tucker, Mingyuan Zhou +2
cs.LGcs.AIstat.MLarXiv:1912.03820v32019
Native and Compact Structured Latents for 3D Generation
Jianfeng Xiang, Xiaoxue Chen, Sicheng Xu +8
cs.CVcs.AIarXiv:2512.14692v12025
PaperBench: Evaluating AI's Ability to Replicate AI Research
Giulio Starace, Oliver Jaffe, Dane Sherburn +10
cs.AIcs.CLarXiv:2504.01848v32025
SmolVLM: Redefining small and efficient multimodal models
Andrés Marafioti, Orr Zohar, Miquel Farré +14
cs.AIcs.CVarXiv:2504.05299v12025
Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents
Yifan Song, Da Yin, Xiang Yue +3
cs.CLcs.AIcs.LGarXiv:2403.02502v22024
ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory
Siru Ouyang, Jun Yan, I-Hung Hsu +14
cs.AIcs.CLarXiv:2509.25140v22025
Cleaner Speech, Weaker Generalization: Revisiting Pitt-Derived Benchmarks for Alzheimer's Disease Detection
Luqi Sun, Shreeram Suresh Chandra, Lin Zhang +5
cs.SDcs.AIarXiv:2609.00276v12026
Kimi-Audio Technical Report
KimiTeam, Ding Ding, Zeqian Ju +37
eess.AScs.AIcs.CLarXiv:2504.18425v12025
DiffusionNFT: Online Diffusion Reinforcement with Forward Process
Kaiwen Zheng, Huayu Chen, Haotian Ye +7
cs.LGcs.AIcs.CVarXiv:2509.16117v22025
Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG
Aditi Singh, Abul Ehtesham, Saket Kumar +2
cs.AIcs.CLcs.IRarXiv:2501.09136v42025
AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning
Wei Fu, Jiaxuan Gao, Xujie Shen +10
cs.LGcs.AIarXiv:2505.24298v52025
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
Jingang Qu, David Holzmüller, Gaël Varoquaux +1
cs.LGcs.AIarXiv:2502.05564v22025
When Guardrails Look Effective: Construct Validity Failures in LLM Agent Commerce Evaluation
Peiying Zhu, Sidi Chang
cs.AIarXiv:2609.01519v12026
Automated Directed Fairness Testing
Sakshi Udeshi, Pryanshu Arora, Sudipta Chattopadhyay
cs.LGcs.AIcs.SEarXiv:1807.00468v22018
OmniGen2: Towards Instruction-Aligned Multimodal Generation
Chenyuan Wu, Pengfei Zheng, Ruiran Yan +19
cs.CVcs.AIcs.CLarXiv:2506.18871v42025
Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation
Bowen Baker, Joost Huizinga, Leo Gao +6
cs.AIarXiv:2503.11926v12025
Dynamic Network Embedding Survey
Guotong Xue, Ming Zhong, Jianxin Li +3
cs.SIcs.AIarXiv:2103.15447v12021
Cascaded V-Net using ROI masks for brain tumor segmentation
Adrià Casamitjana, Marcel Catà, Irina Sánchez +2
cs.CVcs.AIcs.CYarXiv:1812.11588v12018
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation
Xiaowei Huang, Wenjie Ruan, Wei Huang +14
cs.AIcs.LGarXiv:2305.11391v22023
Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models
Arushi Goel, Sreyan Ghosh, Jaehyeon Kim +8
cs.SDcs.AIcs.CLarXiv:2507.08128v22025
Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass
Jianing Yang, Alexander Sax, Kevin J. Liang +6
cs.CVcs.AIcs.GRarXiv:2501.13928v22025
Zep: A Temporal Knowledge Graph Architecture for Agent Memory
Preston Rasmussen, Pavlo Paliychuk, Travis Beauvais +2
cs.CLcs.AIcs.IRarXiv:2501.13956v12025
Survey of state-of-the-art mixed data clustering algorithms
Amir Ahmad, Shehroz S. Khan
cs.LGcs.AIstat.MLarXiv:1811.04364v62018
Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems
Jaynta Mandi, Emir Demirović, Peter. J Stuckey +1
cs.LGcs.AImath.OCarXiv:1911.10092v12019

Artificial Intelligence

Learning to Invert: Signal Recovery via Deep Convolutional Networks

Theory-guided Data Science: A New Paradigm for Scientific Discovery from Data

Understanding Deep Neural Networks with Rectified Linear Units

Deep Visual Foresight for Planning Robot Motion

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

Learning Human Activities and Object Affordances from RGB-D Videos

A Linear-Programming Approximation of AC Power Flows

Experimental Comparison of Representation Methods and Distance Measures for Time Series Data

R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing

RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

TradingAgents: Multi-Agents LLM Financial Trading Framework

TAVA: Template-free Animatable Volumetric Actors

Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence

KernelBench: Can LLMs Write Efficient GPU Kernels?

SWE-smith: Scaling Data for Software Engineering Agents

Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs

Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly

SimpleMem: Efficient Lifelong Memory for LLM Agents

TokenSkip: Controllable Chain-of-Thought Compression in LLMs

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

MAGI-1: Autoregressive Video Generation at Scale

Chronos-2: From Univariate to Universal Forecasting

Layer by Layer: Uncovering Hidden Representations in Language Models

The Offset Tree for Learning with Partial Labels

Does Reasoning Mitigate Backdoor Attacks? A Neuro-Symbolic Perspective

Improving Video Generation with Human Feedback

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization

CHARM: Character Hallucination for Multicultural Role Play Benchmark

Neuro-Symbolic Geometric Abstraction (NeuSOGA): From Observations to Symbolic Mathematical Representations

FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving

WorldBench: Culturally Grounded Benchmark for Multilingual Agents

LLaDA2.0: Scaling Up Diffusion Language Models to 100B

Attribution Patching Outperforms Automated Circuit Discovery

Meta-Learning without Memorization

Native and Compact Structured Latents for 3D Generation

PaperBench: Evaluating AI's Ability to Replicate AI Research

SmolVLM: Redefining small and efficient multimodal models

Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents

ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory

Cleaner Speech, Weaker Generalization: Revisiting Pitt-Derived Benchmarks for Alzheimer's Disease Detection

Kimi-Audio Technical Report

DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG

AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data

When Guardrails Look Effective: Construct Validity Failures in LLM Agent Commerce Evaluation

Automated Directed Fairness Testing

OmniGen2: Towards Instruction-Aligned Multimodal Generation

Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation

Dynamic Network Embedding Survey

Cascaded V-Net using ROI masks for brain tumor segmentation

A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation

Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models

Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass

Zep: A Temporal Knowledge Graph Architecture for Agent Memory

Survey of state-of-the-art mixed data clustering algorithms

Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems