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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4,801 to 4,860 of 15,246

STAR-1: Safer Alignment of Reasoning LLMs with 1K Data
Zijun Wang, Haoqin Tu, Yuhan Wang +6
cs.CLcs.AIarXiv:2504.01903v22025
RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies
Tianxing Chen, Yue Chen, Zixuan Li +41
cs.ROcs.AIcs.CVarXiv:2607.04434v32026
Learning Humanoid Standing-up Control across Diverse Postures
Tao Huang, Junli Ren, Huayi Wang +6
cs.ROcs.AIcs.LGarXiv:2502.08378v22025
Context-Grounding Gains Are Mediated by Pre-existing Machinery: Auditing GRPO, SFT, and DPO
Prakhar Gupta, Vaibhav Gupta
cs.CLcs.AIcs.LGarXiv:2609.00925v12026
Unsupervised Anomaly Detection for Image Dataset Quality Assurance in Multi-Center Breast MRI
Chiara Tappermann, Steffen Renisch, Lars Ole Schwen +3
cs.CVcs.AIarXiv:2608.16725v12026
Effectiveness of IoT and Deep Learning for Detection and Severity Assessment of Postelectrotermes militaris in Tea Plantations
D. K. C. Senevirathna, A. A. E. Nanayakkara, H. M. C. K. Kulathunga +7
cs.AIcs.LGcs.SDarXiv:2608.27480v12026
Generative to Agentic AI: Survey, Conceptualization, and Challenges
Johannes Schneider
cs.AIarXiv:2504.18875v12025
Exploring the Role of LLMs in HPC Programming: A Survey
Strahinja Ljaljevic, Josep Jorba, Sergio Iserte
cs.DCcs.AIarXiv:2608.26110v12026
Tiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly Detection
Xiaona Zhou, Muntasir Wahed, Tianjiao Yu +2
cs.AIarXiv:2605.30344v12026
Layered LLM Defenses as an Ensemble: Access Tiers, Inference Cost, and the Measured Failure Correlation Between Defense Layers
Abrar Alotaibi, Muhammad Shahid Jabbar, Sadam Al-Azani +1
cs.CRcs.AIcs.CLarXiv:2608.28327v12026
wd1: Weighted Policy Optimization for Reasoning in Diffusion Language Models
Xiaohang Tang, Rares Dolga, Sangwoong Yoon +1
cs.LGcs.AIstat.MLarXiv:2507.08838v22025
NeuroCogMap Reveals Cognitive Organization of Large Language Models
Zhongxiang Sun, Haolang Lu, Qiang Ma +11
q-bio.NCcs.AIcs.CLarXiv:2607.00397v12026
Summaries:한국어
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
Siyuan Mu, Sen Lin
cs.LGcs.AIarXiv:2503.07137v42025
Machine learning meets network science: dimensionality reduction for fast and efficient embedding of networks in the hyperbolic space
Josephine Maria Thomas, Alessandro Muscoloni, Sara Ciucci +2
cond-mat.dis-nncs.AIcs.LGarXiv:1602.06522v12016
Intelligent AI Delegation
Nenad Tomašev, Matija Franklin, Simon Osindero
cs.AIarXiv:2602.11865v12026
Provably Safe Sim-to-Real Transfer
Tingting Ni, Maryam Kamgarpour
cs.LGcs.AIarXiv:2609.01418v12026
Bandits in Prod: Hyperparameter Optimization at Inference Time
Louis Abraham, Tuan-Anh Nguyen, Nicolas Devatine
cs.LGcs.AIarXiv:2609.01335v22026
Superposed Latent Autoencoder
Quanling Zhao, Jiaying Yang, Tianqi Zhang +4
cs.LGcs.AIarXiv:2609.01158v12026
Reinforcement Learning Outperforms Supervised Fine-Tuning: A Case Study on Audio Question Answering
Gang Li, Jizhong Liu, Heinrich Dinkel +3
cs.SDcs.AIcs.CLarXiv:2503.11197v42025
Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning
Yixuan Even Xu, Yash Savani, Fei Fang +1
cs.LGcs.AIcs.CLarXiv:2504.13818v52025
Beyond the Image Plane: World-Grounded Queries for Multi-Object Tracking
Orcun Cetintas, Guillem Brasó, Tim Meinhardt +1
cs.CVcs.AIarXiv:2609.00924v12026
Restrict, Don't Retrain: Inference-Time VLM Guidance for Zero-Shot Aerial Segmentation
Teresa DiMeola, Charles Walter, Hong Xiao
cs.CVcs.AIarXiv:2609.00628v12026
VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents
Ryota Tanaka, Taichi Iki, Taku Hasegawa +3
cs.CLcs.AIcs.CVarXiv:2504.09795v12025
H2Table: Hierarchical Hypergraph-Enhanced Large Language Models for Complex Table Reasoning
Jia Ling, Yangfan Wang, Chen Tang +4
cs.AIarXiv:2609.01216v12026
More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models
Chengzhi Liu, Zhongxing Xu, Qingyue Wei +5
cs.CLcs.AIcs.CVarXiv:2505.21523v32025
Data-Driven Persona-Conditioned Agents for A/B Test Simulation
Ziyad Benomar, Weronika Łajewska, Leonardo Perelli +1
cs.AIarXiv:2609.01038v12026
Neural Rough Differential Equations for Long Time Series
James Morrill, Cristopher Salvi, Patrick Kidger +2
cs.LGcs.AImath.DSarXiv:2009.08295v42020
FLaG: Frequency-Domain Latent-attention Gated Pooling for Token Aggregation
Kewei Li, Rongying Zhang, Xueli Wang +6
cs.AIq-bio.BMarXiv:2609.00831v12026
WritingBench: A Comprehensive Benchmark for Generative Writing
Yuning Wu, Jiahao Mei, Ming Yan +8
cs.AIcs.CLarXiv:2503.05244v42025
Feedback-Assisted Trust Propagation over Document Relation Graphs for Retrieval-Augmented Generation
Zhuoheng Li, Ying Chen
cs.AIarXiv:2609.00543v12026
Agentic Software Engineering: Foundational Pillars and a Research Roadmap
Ahmed E. Hassan, Hao Li, Dayi Lin +4
cs.SEcs.AIarXiv:2509.06216v32025
On the Adversarial Robustness of Vision Transformers
Rulin Shao, Zhouxing Shi, Jinfeng Yi +2
cs.CVcs.AIcs.LGarXiv:2103.15670v32021
Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
Mateusz Pach, Shyamgopal Karthik, Quentin Bouniot +2
cs.CVcs.AIcs.LGarXiv:2504.02821v32025
Assessing Alignment and Stability of Feature Importance Explanations via Weight of Evidence
Eddie Conti, Claudio Daka, Álvaro Parafita +3
cs.LGcs.AIarXiv:2609.00090v12026
On the Reliable Detection of Concept Drift from Streaming Unlabeled Data
Tegjyot Singh Sethi, Mehmed Kantardzic
stat.MLcs.AIcs.LGarXiv:1704.00023v12017
Investigating Affective Use and Emotional Well-being on ChatGPT
Jason Phang, Michael Lampe, Lama Ahmad +8
cs.HCcs.AIarXiv:2504.03888v12025
Unsupervised Control Through Non-Parametric Discriminative Rewards
David Warde-Farley, Tom Van de Wiele, Tejas Kulkarni +3
cs.LGcs.AIstat.MLarXiv:1811.11359v12018
Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement
Xueyao Zhang, Xiaohui Zhang, Kainan Peng +10
cs.SDcs.AIeess.ASarXiv:2502.07243v12025
Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems
Richard Tomsett, Dave Braines, Dan Harborne +2
cs.AIarXiv:1806.07552v12018
Lingua Franca or Probing Artifact? Rethinking Latent Language in Multilingual LLMs
Deniz Bayazit, Badr AlKhamissi, Antoine Bosselut
cs.CLcs.AIcs.LGarXiv:2609.00155v12026
How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach
Ayeong Lee, Ethan Che, Tianyi Peng
cs.CLcs.AIarXiv:2503.01141v22025
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings
Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt +4
cs.LGcs.AIstat.MLarXiv:2007.14175v22020
Are Sparse Autoencoders Useful? A Case Study in Sparse Probing
Subhash Kantamneni, Joshua Engels, Senthooran Rajamanoharan +2
cs.LGcs.AIarXiv:2502.16681v12025
Winning Gold at IMO 2025 with a Model-Agnostic Verification-and-Refinement Pipeline
Yichen Huang, Lin F. Yang
cs.AIarXiv:2507.15855v42025
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting
Wei Fan, Pengyang Wang, Dongkun Wang +3
cs.LGcs.AIarXiv:2302.14829v32023
KItCAT: Knowledge Injection via Input Corruption for Auto-regressive Training
Meghanadh Pulivarthi, Kushagra Bhushan, Vineet Kumar +5
cs.CLcs.AIarXiv:2609.00082v12026
Aristotle: IMO-level Automated Theorem Proving
Tudor Achim, Alex Best, Alberto Bietti +20
cs.AIcs.CLarXiv:2510.01346v22025
Kosmos: An AI Scientist for Autonomous Discovery
Ludovico Mitchener, Angela Yiu, Benjamin Chang +34
cs.AIarXiv:2511.02824v22025
Vision Is Not Overhead: One-Pass Block Drafting for Lossless Speculative Decoding in Vision-Language Models
Jungseob Lee, Seongtae Hong, Dongyub Jude Lee +4
cs.AIcs.CLcs.CVarXiv:2609.00355v12026
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes
Jon Donnelly, Alina Jade Barnett, Chaofan Chen
cs.CVcs.AIcs.LGarXiv:2111.15000v32021
DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation
Dongya Jia, Zhuo Chen, Jiawei Chen +8
eess.AScs.AIcs.CLarXiv:2502.03930v42025
AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning
Chenwei Lou, Zewei Sun, Xinnian Liang +6
cs.LGcs.AIarXiv:2505.11896v22025
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
Weizhen Li, Jianbo Lin, Zhuosong Jiang +27
cs.AIcs.CLarXiv:2508.13167v12025
SafeArena: Evaluating the Safety of Autonomous Web Agents
Ada Defne Tur, Nicholas Meade, Xing Han Lù +6
cs.LGcs.AIcs.CLarXiv:2503.04957v12025
Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning
DiJia Su, Hanlin Zhu, Yingchen Xu +3
cs.CLcs.AIcs.LGarXiv:2502.03275v22025
AdaEvolve: Adaptive LLM Driven Zeroth-Order Optimization
Mert Cemri, Shubham Agrawal, Akshat Gupta +9
cs.NEcs.AIcs.CLarXiv:2602.20133v12026
MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning
Fuxiao Liu, Xiaoyang Wang, Wenlin Yao +5
cs.CLcs.AIarXiv:2311.10774v22023
SEED-GRPO: Semantic Entropy Enhanced GRPO for Uncertainty-Aware Policy Optimization
Minghan Chen, Guikun Chen, Wenguan Wang +1
cs.AIarXiv:2505.12346v12025
S*: Test Time Scaling for Code Generation
Dacheng Li, Shiyi Cao, Chengkun Cao +6
cs.LGcs.AIarXiv:2502.14382v12025
BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholds
Huayi Wang, Zirui Wang, Junli Ren +4
cs.ROcs.AIcs.LGarXiv:2502.10363v32025

Artificial Intelligence

STAR-1: Safer Alignment of Reasoning LLMs with 1K Data

RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies

Learning Humanoid Standing-up Control across Diverse Postures

Context-Grounding Gains Are Mediated by Pre-existing Machinery: Auditing GRPO, SFT, and DPO

Unsupervised Anomaly Detection for Image Dataset Quality Assurance in Multi-Center Breast MRI

Effectiveness of IoT and Deep Learning for Detection and Severity Assessment of Postelectrotermes militaris in Tea Plantations

Generative to Agentic AI: Survey, Conceptualization, and Challenges

Exploring the Role of LLMs in HPC Programming: A Survey

Tiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly Detection

Layered LLM Defenses as an Ensemble: Access Tiers, Inference Cost, and the Measured Failure Correlation Between Defense Layers

wd1: Weighted Policy Optimization for Reasoning in Diffusion Language Models

NeuroCogMap Reveals Cognitive Organization of Large Language Models

A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications

Machine learning meets network science: dimensionality reduction for fast and efficient embedding of networks in the hyperbolic space

Intelligent AI Delegation

Provably Safe Sim-to-Real Transfer

Bandits in Prod: Hyperparameter Optimization at Inference Time

Superposed Latent Autoencoder

Reinforcement Learning Outperforms Supervised Fine-Tuning: A Case Study on Audio Question Answering

Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning

Beyond the Image Plane: World-Grounded Queries for Multi-Object Tracking

Restrict, Don't Retrain: Inference-Time VLM Guidance for Zero-Shot Aerial Segmentation

VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents

H2Table: Hierarchical Hypergraph-Enhanced Large Language Models for Complex Table Reasoning

More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models

Data-Driven Persona-Conditioned Agents for A/B Test Simulation

Neural Rough Differential Equations for Long Time Series

FLaG: Frequency-Domain Latent-attention Gated Pooling for Token Aggregation

WritingBench: A Comprehensive Benchmark for Generative Writing

Feedback-Assisted Trust Propagation over Document Relation Graphs for Retrieval-Augmented Generation

Agentic Software Engineering: Foundational Pillars and a Research Roadmap

On the Adversarial Robustness of Vision Transformers

Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models

Assessing Alignment and Stability of Feature Importance Explanations via Weight of Evidence

On the Reliable Detection of Concept Drift from Streaming Unlabeled Data

Investigating Affective Use and Emotional Well-being on ChatGPT

Unsupervised Control Through Non-Parametric Discriminative Rewards

Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement

Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems

Lingua Franca or Probing Artifact? Rethinking Latent Language in Multilingual LLMs

How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach

PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings

Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Winning Gold at IMO 2025 with a Model-Agnostic Verification-and-Refinement Pipeline

Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting

KItCAT: Knowledge Injection via Input Corruption for Auto-regressive Training

Aristotle: IMO-level Automated Theorem Proving

Kosmos: An AI Scientist for Autonomous Discovery

Vision Is Not Overhead: One-Pass Block Drafting for Lossless Speculative Decoding in Vision-Language Models

Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes

DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation

AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning

Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL

SafeArena: Evaluating the Safety of Autonomous Web Agents

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

AdaEvolve: Adaptive LLM Driven Zeroth-Order Optimization

MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning

SEED-GRPO: Semantic Entropy Enhanced GRPO for Uncertainty-Aware Policy Optimization

S*: Test Time Scaling for Code Generation

BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholds