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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5,101 to 5,160 of 15,328

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Kun Wang, Guibin Zhang, Zhenhong Zhou +100
cs.CRcs.AIcs.CLarXiv:2504.15585v42025
AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning
Yang Chen, Zhuolin Yang, Zihan Liu +5
cs.LGcs.AIcs.CLarXiv:2505.16400v32025
Towards a Reliable and Practical Eval Pipeline
Emma Thuong Nguyen, Abhishek Ghose
cs.AIcs.SEarXiv:2609.00805v12026
MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution
Wei Tao, Yucheng Zhou, Yanlin Wang +3
cs.SEcs.AIarXiv:2403.17927v22024
The Privacy-Hallucination Tradeoff in Differentially Private Language Models
Krithika Ramesh, Krishna Pillutla, Danish Pruthi +1
cs.AIcs.CLarXiv:2609.00492v12026
From Prompt Injections to Protocol Exploits: Threats in LLM-Powered AI Agents Workflows
Mohamed Amine Ferrag, Norbert Tihanyi, Djallel Hamouda +3
cs.CRcs.AIarXiv:2506.23260v22025
jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval
Michael Günther, Saba Sturua, Mohammad Kalim Akram +8
cs.AIcs.CLcs.IRarXiv:2506.18902v32025
Kevin: Multi-Turn RL for Generating CUDA Kernels
Carlo Baronio, Pietro Marsella, Ben Pan +2
cs.LGcs.AIcs.PFarXiv:2507.11948v12025
MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining
LLM-Core Xiaomi, :, Bingquan Xia +62
cs.CLcs.AIcs.LGarXiv:2505.07608v22025
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games
Noam Brown, Anton Bakhtin, Adam Lerer +1
cs.GTcs.AIcs.LGarXiv:2007.13544v22020
TransZero: Attribute-guided Transformer for Zero-Shot Learning
Shiming Chen, Ziming Hong, Yang Liu +6
cs.CVcs.AIarXiv:2112.01683v12021
PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides
Hao Zheng, Xinyan Guan, Hao Kong +7
cs.AIcs.CLarXiv:2501.03936v32025
Zero-Shot Respiratory Sound Classification through LLM-Augmented Audio-Text Alignment
Mustafa Talha İlerisoy, Hung Manh Pham, Mathias Funk +2
cs.CLcs.AIcs.SDarXiv:2609.00055v12026
Diffusion Adversarial Post-Training for One-Step Video Generation
Shanchuan Lin, Xin Xia, Yuxi Ren +3
cs.CVcs.AIcs.LGarXiv:2501.08316v32025
GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents
Qianhui Wu, Kanzhi Cheng, Rui Yang +15
cs.CLcs.AIcs.CVarXiv:2506.03143v12025
EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos
Ruihan Yang, Qinxi Yu, Yecheng Wu +12
cs.ROcs.AIcs.CVarXiv:2507.12440v32025
A Survey of AI Agent Protocols
Yingxuan Yang, Huacan Chai, Yuanyi Song +11
cs.AIarXiv:2504.16736v32025
TAMI: Temporally Aligned, Missingness-Aware, and Interpretable Multimodal Fusion for Mental Health Assessment in Older Adults with Mild Cognitive Impairment
Merna Bibars, Bolaji Omofojoye, Allan I. Levey +3
cs.CVcs.AIarXiv:2608.30857v12026
Process Reward Models That Think
Muhammad Khalifa, Rishabh Agarwal, Lajanugen Logeswaran +5
cs.LGcs.AIcs.CLarXiv:2504.16828v52025
MemoryGraft: Persistent Compromise of LLM Agents via Poisoned Experience Retrieval
Saksham Sahai Srivastava, Haoyu He
cs.CRcs.AIcs.LGarXiv:2512.16962v12025
Transformer Language Models without Positional Encodings Still Learn Positional Information
Adi Haviv, Ori Ram, Ofir Press +2
cs.CLcs.AIcs.LGarXiv:2203.16634v22022
Aether: Geometric-Aware Unified World Modeling
Aether Team, Haoyi Zhu, Yifan Wang +8
cs.CVcs.AIcs.LGarXiv:2503.18945v32025
Addressing Complex and Subjective Product-Related Queries with Customer Reviews
Julian McAuley, Alex Yang
cs.IRcs.AIcs.SIarXiv:1512.06863v12015
Reward-Guided Speculative Decoding for Efficient LLM Reasoning
Baohao Liao, Yuhui Xu, Hanze Dong +5
cs.CLcs.AIarXiv:2501.19324v32025
Progent: Securing AI Agents with Privilege Control
Tianneng Shi, Jingxuan He, Zhun Wang +4
cs.CRcs.AIarXiv:2504.11703v32025
DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous Grasping
Yifan Zhong, Xuchuan Huang, Ruochong Li +9
cs.ROcs.AIarXiv:2502.20900v52025
GuardReasoner: Towards Reasoning-based LLM Safeguards
Yue Liu, Hongcheng Gao, Shengfang Zhai +9
cs.CRcs.AIcs.LGarXiv:2501.18492v22025
The Road Less Scheduled
Aaron Defazio, Xingyu Alice Yang, Harsh Mehta +3
cs.LGcs.AImath.OCarXiv:2405.15682v42024
OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting
Xing Hu, Yuan Cheng, Dawei Yang +6
cs.LGcs.AIarXiv:2501.13987v12025
Scaling up Masked Diffusion Models on Text
Shen Nie, Fengqi Zhu, Chao Du +5
cs.AIcs.CLcs.LGarXiv:2410.18514v32024
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
Xiangxiang Chu, Xiaoxing Wang, Bo Zhang +3
cs.LGcs.AIcs.CVarXiv:2009.01027v22020
Small Models Struggle to Learn from Strong Reasoners
Yuetai Li, Xiang Yue, Zhangchen Xu +5
cs.AIarXiv:2502.12143v32025
Scaling Spatial Intelligence with Multimodal Foundation Models
Zhongang Cai, Ruisi Wang, Chenyang Gu +26
cs.CVcs.AIcs.LGarXiv:2511.13719v42025
Understanding Reasoning in Thinking Language Models via Steering Vectors
Constantin Venhoff, Iván Arcuschin, Philip Torr +2
cs.LGcs.AIarXiv:2506.18167v42025
VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use
Dongfu Jiang, Yi Lu, Zhuofeng Li +9
cs.AIcs.CLcs.CVarXiv:2509.01055v32025
Multi-Agent Collaboration via Evolving Orchestration
Yufan Dang, Chen Qian, Xueheng Luo +11
cs.CLcs.AIcs.MAarXiv:2505.19591v22025
What Can We Learn from Collective Human Opinions on Natural Language Inference Data?
Yixin Nie, Xiang Zhou, Mohit Bansal
cs.CLcs.AIcs.LGarXiv:2010.03532v22020
A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning
Shaopeng Zhai, Qi Zhang, Tianyi Zhang +7
cs.ROcs.AIarXiv:2509.15937v12025
VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference
Jiaming Tang, Yufei Sun, Yilong Zhao +7
cs.ROcs.AIcs.LGarXiv:2512.01031v22025
Measuring the environmental impact of delivering AI at Google Scale
Cooper Elsworth, Keguo Huang, David Patterson +9
cs.AIarXiv:2508.15734v12025
Latent Diffusion Model without Variational Autoencoder
Minglei Shi, Haolin Wang, Wenzhao Zheng +6
cs.CVcs.AIarXiv:2510.15301v42025
Global-Locally Self-Attentive Dialogue State Tracker
Victor Zhong, Caiming Xiong, Richard Socher
cs.CLcs.AIarXiv:1805.09655v32018
YuE: Scaling Open Foundation Models for Long-Form Music Generation
Ruibin Yuan, Hanfeng Lin, Shuyue Guo +55
eess.AScs.AIcs.MMarXiv:2503.08638v22025
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
Qinggang Zhang, Shengyuan Chen, Yuanchen Bei +9
cs.CLcs.AIcs.IRarXiv:2501.13958v32025
Approximate evaluation of marginal association probabilities with belief propagation
Jason L. Williams, Roslyn A. Lau
cs.AIcs.CVarXiv:1209.6299v22012
Training Neural Machine Translation To Apply Terminology Constraints
Georgiana Dinu, Prashant Mathur, Marcello Federico +1
cs.CLcs.AIcs.LGarXiv:1906.01105v22019
JudgeLRM: Large Reasoning Models as a Judge
Nuo Chen, Zhiyuan Hu, Qingyun Zou +4
cs.CLcs.AIarXiv:2504.00050v32025
Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer Architectures
Lars Ødegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro +1
cs.LGcs.AIarXiv:2208.13585v22022
Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems
Akshay Ajagekar, Travis Humble, Fengqi You
quant-phcs.AImath.OCarXiv:1910.13045v12019
S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models
Muzhi Dai, Chenxu Yang, Qingyi Si
cs.AIcs.LGarXiv:2505.07686v22025
How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring
Saleh Shahinfar, Paul Meek, Greg Falzon
cs.CVcs.AIcs.LGarXiv:2010.08186v12020
Mechanism Design for Alignment and Control
Dirk Bergemann, Andrew Koh, Stephen Morris
econ.THcs.AIcs.GTarXiv:2609.01595v12026
Gemini Embedding: Generalizable Embeddings from Gemini
Jinhyuk Lee, Feiyang Chen, Sahil Dua +44
cs.CLcs.AIarXiv:2503.07891v12025
Summaries:한국어
CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation
Letian Fu, Justin Yu, Karim El-Refai +13
cs.ROcs.AIarXiv:2603.22435v22026
RPCBench: A Benchmark for Proactive Premise Critique in LLM-based Recommendation
Zhongru Chen, Yuan Wu, Yi Chang
cs.AIcs.CLarXiv:2609.00918v12026
Self-Supervised Hypergraph Transformer for Recommender Systems
Lianghao Xia, Chao Huang, Chuxu Zhang
cs.IRcs.AIarXiv:2207.14338v12022
QILP-0: Constructing Observational Declarative Twins of Quantum Circuits
Marina de la Cruz Echeandía, César Luis Alonso, Tony Ribeiro +1
cs.AIquant-pharXiv:2609.01049v12026
EdiTikZ: Scientific Figure Editing from Revision Trajectories
Christian Greisinger, Zhixue Zhao, Steffen Eger
cs.AIcs.CLcs.CVarXiv:2609.01409v12026
ACON: Optimizing Context Compression for Long-horizon LLM Agents
Minki Kang, Wei-Ning Chen, Dongge Han +5
cs.AIcs.CLarXiv:2510.00615v32025
Some Emotions Run Deeper: Layer-wise Probing and Causal Intervention in Large Language Models
Tian Fang, Gaël Guibon, Davide Buscaldi
cs.CLcs.AIarXiv:2609.01279v12026

Artificial Intelligence

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment

AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning

Towards a Reliable and Practical Eval Pipeline

MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

The Privacy-Hallucination Tradeoff in Differentially Private Language Models

From Prompt Injections to Protocol Exploits: Threats in LLM-Powered AI Agents Workflows

jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval

Kevin: Multi-Turn RL for Generating CUDA Kernels

MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining

Combining Deep Reinforcement Learning and Search for Imperfect-Information Games

TransZero: Attribute-guided Transformer for Zero-Shot Learning

PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides

Zero-Shot Respiratory Sound Classification through LLM-Augmented Audio-Text Alignment

Diffusion Adversarial Post-Training for One-Step Video Generation

GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents

EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos

A Survey of AI Agent Protocols

TAMI: Temporally Aligned, Missingness-Aware, and Interpretable Multimodal Fusion for Mental Health Assessment in Older Adults with Mild Cognitive Impairment

Process Reward Models That Think

MemoryGraft: Persistent Compromise of LLM Agents via Poisoned Experience Retrieval

Transformer Language Models without Positional Encodings Still Learn Positional Information

Aether: Geometric-Aware Unified World Modeling

Addressing Complex and Subjective Product-Related Queries with Customer Reviews

Reward-Guided Speculative Decoding for Efficient LLM Reasoning

Progent: Securing AI Agents with Privilege Control

DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous Grasping

GuardReasoner: Towards Reasoning-based LLM Safeguards

The Road Less Scheduled

OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting

Scaling up Masked Diffusion Models on Text

DARTS-: Robustly Stepping out of Performance Collapse Without Indicators

Small Models Struggle to Learn from Strong Reasoners

Scaling Spatial Intelligence with Multimodal Foundation Models

Understanding Reasoning in Thinking Language Models via Steering Vectors

VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use

Multi-Agent Collaboration via Evolving Orchestration

What Can We Learn from Collective Human Opinions on Natural Language Inference Data?

A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning

VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference

Measuring the environmental impact of delivering AI at Google Scale

Latent Diffusion Model without Variational Autoencoder

Global-Locally Self-Attentive Dialogue State Tracker

YuE: Scaling Open Foundation Models for Long-Form Music Generation

A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models

Approximate evaluation of marginal association probabilities with belief propagation

Training Neural Machine Translation To Apply Terminology Constraints

JudgeLRM: Large Reasoning Models as a Judge

Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer Architectures

Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems

S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models

How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring

Mechanism Design for Alignment and Control

Gemini Embedding: Generalizable Embeddings from Gemini

CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation

RPCBench: A Benchmark for Proactive Premise Critique in LLM-based Recommendation

Self-Supervised Hypergraph Transformer for Recommender Systems

QILP-0: Constructing Observational Declarative Twins of Quantum Circuits

EdiTikZ: Scientific Figure Editing from Revision Trajectories

ACON: Optimizing Context Compression for Long-horizon LLM Agents

Some Emotions Run Deeper: Layer-wise Probing and Causal Intervention in Large Language Models