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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25,861 to 25,920 of 27,172

Beyond NDCG: behavioral testing of recommender systems with RecList
Patrick John Chia, Jacopo Tagliabue, Federico Bianchi +2
cs.IRcs.AIcs.LGarXiv:2111.09963v22021
Hammer: Robust Function-Calling for On-Device Language Models via Function Masking
Qiqiang Lin, Muning Wen, Qiuying Peng +9
cs.LGcs.AIcs.SEarXiv:2410.04587v22024
Does AI See like Art Historians? Interpreting How Vision Language Models Recognize Artistic Style
Marvin Limpijankit, Milad Alshomary, Yassin Oulad Daoud +9
cs.CVcs.AIarXiv:2603.11024v32026
Insights Informed Generative AI for Design: Incorporating Real-world Data for Text-to-Image Output
Richa Gupta, Alexander Htet Kyaw
cs.HCcs.AIarXiv:2506.15008v12025
Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training
Saptadeep Pal, Eiman Ebrahimi, Arslan Zulfiqar +5
cs.LGcs.AIcs.DCarXiv:1907.13257v12019
COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition
Baiyu Chen, Wilson Wongso, Zechen Li +3
cs.CVcs.AIcs.LGarXiv:2503.07259v22025
UQ: Assessing Language Models on Unsolved Questions
Fan Nie, Ken Ziyu Liu, Zihao Wang +11
cs.CLcs.AIcs.LGarXiv:2508.17580v12025
Self-Challenging Language Model Agents
Yifei Zhou, Sergey Levine, Jason Weston +2
cs.AIcs.CLarXiv:2506.01716v12025
First SFT, Second RL, Third UPT: Continual Improving Multi-Modal LLM Reasoning via Unsupervised Post-Training
Lai Wei, Yuting Li, Chen Wang +4
cs.CLcs.AIcs.CVarXiv:2505.22453v22025
A Survey on Self-Evolution of Large Language Models
Zhengwei Tao, Ting-En Lin, Xiancai Chen +7
cs.CLcs.AIarXiv:2404.14387v22024
Summaries:한국어
When Creators Meet the Metaverse: A Survey on Computational Arts
Lik-Hang Lee, Zijun Lin, Rui Hu +5
cs.CYcs.AIcs.LGarXiv:2111.13486v12021
MedGR$^2$: Breaking the Data Barrier for Medical Reasoning via Generative Reward Learning
Weihai Zhi, Jiayan Guo, Shangyang Li
cs.LGcs.AIarXiv:2508.20549v22025
WithAnyone: Towards Controllable and ID Consistent Image Generation
Hengyuan Xu, Wei Cheng, Peng Xing +8
cs.CVcs.AIarXiv:2510.14975v12025
Chiron-o1: Igniting Multimodal Large Language Models towards Generalizable Medical Reasoning via Mentor-Intern Collaborative Search
Haoran Sun, Yankai Jiang, Wenjie Lou +6
cs.CVcs.AIcs.CLarXiv:2506.16962v22025
EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents
Abhay Zala, Jaemin Cho, Han Lin +2
cs.CLcs.AIcs.LGarXiv:2403.12014v22024
Moto: Latent Motion Token as the Bridging Language for Learning Robot Manipulation from Videos
Yi Chen, Yuying Ge, Weiliang Tang +5
cs.ROcs.AIcs.CLarXiv:2412.04445v42024
JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language Models
Zifan Peng, Yule Liu, Zhen Sun +9
cs.CRcs.AIcs.SDarXiv:2505.17568v32025
Open-SWE-Traces: Advancing Dual-Mode Multilingual Distillation for Software Engineering Agents
Wasi Uddin Ahmad, Nikolai Ludwig, Somshubra Majumdar +1
cs.SEcs.AIarXiv:2606.16038v12026
Gemstones: A Model Suite for Multi-Faceted Scaling Laws
Sean McLeish, John Kirchenbauer, David Yu Miller +5
cs.LGcs.AIarXiv:2502.06857v32025
Debate Helps Weak-to-Strong Generalization
Hao Lang, Fei Huang, Yongbin Li
cs.CLcs.AIarXiv:2501.13124v12025
Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewards
Jaeho Kim, Yunseok Lee, Seulki Lee
cs.AIcs.CYarXiv:2505.04966v12025
Are Large Language Models Moral Hypocrites? A Study Based on Moral Foundations
José Luiz Nunes, Guilherme F. C. F. Almeida, Marcelo de Araujo +1
cs.AIcs.CLarXiv:2405.11100v22024
From Research Question to Scientific Workflow: Leveraging Agentic AI for Science Automation
Bartosz Balis, Michal Orzechowski, Piotr Kica +2
cs.AIarXiv:2604.21910v12026
SEOVER: Sentence-level Emotion Orientation Vector based Conversation Emotion Recognition Model
Zaijing Li, Fengxiao Tang, Tieyu Sun +2
cs.CLcs.AIarXiv:2106.08785v22021
A Benchmark for Compositional Visual Reasoning
Aimen Zerroug, Mohit Vaishnav, Julien Colin +2
cs.CVcs.AIarXiv:2206.05379v12022
Do More Agents Help? Controlled and Protocol-Aligned Evaluation of LLM Agent Workflows
Yuhang Fu, Ruishan Fang, Jiaqi Shao +4
cs.AIarXiv:2606.05670v12026
Stable Self-Modulating Quantum Fast-Weight Programmers with Bounded Memory Gates
Kuo-Chung Peng, Jiun-Cheng Jiang, Chun-Hua Lin +8
quant-phcs.AIcs.ETarXiv:2607.02363v12026
Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks
Brenden M. Lake, Marco Baroni
cs.CLcs.AIcs.LGarXiv:1711.00350v32017
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study
Chinnadhurai Sankar, Sandeep Subramanian, Christopher Pal +2
cs.CLcs.AIcs.LGarXiv:1906.01603v22019
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context
Zihao Li, Yuan Cao, Cheng Gao +5
cs.LGcs.AImath.OCarXiv:2411.10830v12024
SCORPION: Addressing Scanner-Induced Variability in Histopathology
Jeongun Ryu, Heon Song, Seungeun Lee +4
cs.CVcs.AIarXiv:2507.20907v22025
Generating Images Part by Part with Composite Generative Adversarial Networks
Hanock Kwak, Byoung-Tak Zhang
cs.AIcs.CVcs.LGarXiv:1607.05387v22016
Interscript: A dataset for interactive learning of scripts through error feedback
Niket Tandon, Aman Madaan, Peter Clark +2
cs.AIarXiv:2112.07867v22021
Learning by Distilling Context
Charlie Snell, Dan Klein, Ruiqi Zhong
cs.CLcs.AIarXiv:2209.15189v12022
Gibbs Sampling with People
Peter M. C. Harrison, Raja Marjieh, Federico Adolfi +5
q-bio.NCcs.AIcs.CVarXiv:2008.02595v22020
Large Language Models for Robotics: A Survey
Fanlong Zeng, Wensheng Gan, Zezheng Huai +5
cs.ROcs.AIarXiv:2311.07226v22023
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding
Jasmine Collins, Shubham Goel, Kenan Deng +9
cs.CVcs.AIcs.GRarXiv:2110.06199v22021
Part-based Graph Convolutional Network for Action Recognition
Kalpit Thakkar, P J Narayanan
cs.CVcs.AIarXiv:1809.04983v12018
AI Slop and Hallucinations in Vulnerability Assessment: A Survey on Reasoning Failures and Trustworthy Mitigation
Junchen Ding, Jialiang Dong, Yichen Zhu +5
cs.CRcs.AIarXiv:2608.25667v12026
GENIUS: Generative Fluid Intelligence Evaluation Suite
Ruichuan An, Sihan Yang, Ziyu Guo +8
cs.LGcs.AIcs.CVarXiv:2602.11144v12026
MemGovern: Enhancing Code Agents through Learning from Governed Human Experiences
Qihao Wang, Ziming Cheng, Shuo Zhang +12
cs.SEcs.AIarXiv:2601.06789v22026
Repo0: Design-Driven Zero-to-All Code Generation
Silin Chen, Haoyi Teng, Xiaodong Gu +5
cs.SEcs.AIarXiv:2608.19854v12026
Position: AI Leaderboards Are Underserving the Global South: A Case Study from India
Sourav Banerjee, Saikat Saha
cs.AIecon.GNarXiv:2608.18117v12026
SAGE: Self-Evolving Storyboard Skills via Attribution-Guided Rule Evolution
Maolin Ran, Xiaoyang Lu, Jiaqi Liu +5
cs.AIarXiv:2608.17468v12026
J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning
Chenxi Whitehouse, Tianlu Wang, Ping Yu +4
cs.CLcs.AIcs.LGarXiv:2505.10320v32025
Absolute Zero: Reinforced Self-play Reasoning with Zero Data
Andrew Zhao, Yiran Wu, Yang Yue +8
cs.LGcs.AIcs.CLarXiv:2505.03335v32025
DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
Zhiwei He, Tian Liang, Jiahao Xu +12
cs.CLcs.AIarXiv:2504.11456v22025
SEAL: Steerable Reasoning Calibration of Large Language Models for Free
Runjin Chen, Zhenyu Zhang, Junyuan Hong +2
cs.CLcs.AIarXiv:2504.07986v32025
Calibrated Trust, Not Sharper Prediction: An Empirical Test of Uncertainty Fusion
Surya Saka
cs.LGcs.AIcs.CLarXiv:2608.14617v12026
Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback
Yucheng Zhou, Lingran Song, Jianbing Shen
cs.CLcs.AIcs.CVarXiv:2501.01377v22025
GUI vs. CLI: Execution Bottlenecks in Screen-Only and Skill-Mediated Computer-Use Agents
Xiao Zhou, Siyue Zhang, Yilun Zhao +4
cs.AIarXiv:2606.24551v12026
Emoti-Attack: Zero-Perturbation Adversarial Attacks on NLP Systems via Emoji Sequences
Yangshijie Zhang
cs.AIcs.CLcs.CRarXiv:2502.17392v12025
Fair Transfer of Multiple Style Attributes in Text
Karan Dabas, Nishtha Madan, Vijay Arya +3
cs.CLcs.AIcs.LGarXiv:2001.06693v12020
TinyV: Reducing False Negatives in Verification Improves RL for LLM Reasoning
Zhangchen Xu, Yuetai Li, Fengqing Jiang +4
cs.LGcs.AIcs.CLarXiv:2505.14625v22025
Learn Before Represent: Bridging Generative and Contrastive Learning for Domain-Specific LLM Embeddings
Xiaoyu Liang, Yuchen Peng, Jiale Luo +3
cs.IRcs.AIarXiv:2601.11124v12026
Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects
Yixin Liu, Guibin Zhang, Kun Wang +2
cs.AIarXiv:2507.21407v22025
DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome
Zhihan Zhou, Yanrong Ji, Weijian Li +3
q-bio.GNcs.AIcs.CEarXiv:2306.15006v22023
Wav2Letter: an End-to-End ConvNet-based Speech Recognition System
Ronan Collobert, Christian Puhrsch, Gabriel Synnaeve
cs.LGcs.AIcs.CLarXiv:1609.03193v22016
Beyond neural scaling laws: beating power law scaling via data pruning
Ben Sorscher, Robert Geirhos, Shashank Shekhar +2
cs.LGcs.AIcs.CVarXiv:2206.14486v62022
PLDR-LLMs Reason At Self-Organized Criticality
Burc Gokden
cs.AIcs.CLcs.LGarXiv:2603.23539v12026

Artificial Intelligence

Beyond NDCG: behavioral testing of recommender systems with RecList

Hammer: Robust Function-Calling for On-Device Language Models via Function Masking

Does AI See like Art Historians? Interpreting How Vision Language Models Recognize Artistic Style

Insights Informed Generative AI for Design: Incorporating Real-world Data for Text-to-Image Output

Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training

COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition

UQ: Assessing Language Models on Unsolved Questions

Self-Challenging Language Model Agents

First SFT, Second RL, Third UPT: Continual Improving Multi-Modal LLM Reasoning via Unsupervised Post-Training

A Survey on Self-Evolution of Large Language Models

When Creators Meet the Metaverse: A Survey on Computational Arts

MedGR$^2$: Breaking the Data Barrier for Medical Reasoning via Generative Reward Learning

WithAnyone: Towards Controllable and ID Consistent Image Generation

Chiron-o1: Igniting Multimodal Large Language Models towards Generalizable Medical Reasoning via Mentor-Intern Collaborative Search

EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents

Moto: Latent Motion Token as the Bridging Language for Learning Robot Manipulation from Videos

JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language Models

Open-SWE-Traces: Advancing Dual-Mode Multilingual Distillation for Software Engineering Agents

Gemstones: A Model Suite for Multi-Faceted Scaling Laws

Debate Helps Weak-to-Strong Generalization

Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewards

Are Large Language Models Moral Hypocrites? A Study Based on Moral Foundations

From Research Question to Scientific Workflow: Leveraging Agentic AI for Science Automation

SEOVER: Sentence-level Emotion Orientation Vector based Conversation Emotion Recognition Model

A Benchmark for Compositional Visual Reasoning

Do More Agents Help? Controlled and Protocol-Aligned Evaluation of LLM Agent Workflows

Stable Self-Modulating Quantum Fast-Weight Programmers with Bounded Memory Gates

Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks

Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study

One-Layer Transformer Provably Learns One-Nearest Neighbor In Context

SCORPION: Addressing Scanner-Induced Variability in Histopathology

Generating Images Part by Part with Composite Generative Adversarial Networks

Interscript: A dataset for interactive learning of scripts through error feedback

Learning by Distilling Context

Gibbs Sampling with People

Large Language Models for Robotics: A Survey

ABO: Dataset and Benchmarks for Real-World 3D Object Understanding

Part-based Graph Convolutional Network for Action Recognition

AI Slop and Hallucinations in Vulnerability Assessment: A Survey on Reasoning Failures and Trustworthy Mitigation

GENIUS: Generative Fluid Intelligence Evaluation Suite

MemGovern: Enhancing Code Agents through Learning from Governed Human Experiences

Repo0: Design-Driven Zero-to-All Code Generation

Position: AI Leaderboards Are Underserving the Global South: A Case Study from India

SAGE: Self-Evolving Storyboard Skills via Attribution-Guided Rule Evolution

J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning

Absolute Zero: Reinforced Self-play Reasoning with Zero Data

DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning

SEAL: Steerable Reasoning Calibration of Large Language Models for Free

Calibrated Trust, Not Sharper Prediction: An Empirical Test of Uncertainty Fusion

Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback

GUI vs. CLI: Execution Bottlenecks in Screen-Only and Skill-Mediated Computer-Use Agents

Emoti-Attack: Zero-Perturbation Adversarial Attacks on NLP Systems via Emoji Sequences

Fair Transfer of Multiple Style Attributes in Text

TinyV: Reducing False Negatives in Verification Improves RL for LLM Reasoning

Learn Before Represent: Bridging Generative and Contrastive Learning for Domain-Specific LLM Embeddings

Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects

DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome

Wav2Letter: an End-to-End ConvNet-based Speech Recognition System

Beyond neural scaling laws: beating power law scaling via data pruning

PLDR-LLMs Reason At Self-Organized Criticality