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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3,061 to 3,120 of 15,502

RubRIX: Rubric-Driven Risk Mitigation in Caregiver-AI Interactions
Drishti Goel, Jeongah Lee, Qiuyue Joy Zhong +5
cs.HCcs.AIcs.CLarXiv:2601.13235v12026
Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential Tomorrow
Yangyang Zhong, Yanmei Gu, Zhengqing Zang +14
cs.CLcs.AIcs.LGarXiv:2601.15593v22026
MMR-Bench: A Comprehensive Benchmark for Multimodal LLM Routing
Haoxuan Ma, Guannan Lai, Han-Jia Ye
cs.AIarXiv:2601.17814v12026
MMErroR: A Benchmark for Erroneous Reasoning in Vision-Language Models
Yang Shi, Yifeng Xie, Minzhe Guo +6
cs.CVcs.AIcs.LGarXiv:2601.03331v22026
CircuChain: Disentangling Competence and Compliance in LLM Circuit Analysis
Mayank Ravishankara
cs.SEcs.AIarXiv:2602.15037v12026
Probability-Entropy Calibration: An Elastic Indicator for Adaptive Fine-tuning
Wenhao Yu, Shaohang Wei, Jiahong Liu +5
cs.LGcs.AIarXiv:2602.01745v22026
Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering
Shuliang Liu, Songbo Yang, Dong Fang +7
cs.CVcs.AIarXiv:2601.05159v12026
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN
Shengxian Wan, Yanyan Lan, Jun Xu +3
cs.CLcs.AIcs.LGarXiv:1604.04378v12016
Beyond Precision: Training-Inference Mismatch is an Optimization Problem and Simple LR Scheduling Fixes It
Yaxiang Zhang, Yingru Li, Jiacai Liu +4
cs.LGcs.AIarXiv:2602.01826v12026
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network
Lianghao Xia, Chao Huang, Yong Xu +3
cs.IRcs.AIarXiv:2110.04002v12021
NextMem: Towards Latent Factual Memory for LLM-based Agents
Zeyu Zhang, Rui Li, Xiaoyan Zhao +4
cs.AIcs.IRcs.LGarXiv:2603.15634v12026
Small Language Models: Survey, Measurements, and Insights
Zhenyan Lu, Xiang Li, Dongqi Cai +5
cs.CLcs.AIcs.LGarXiv:2409.15790v32024
Do Latent-CoT Models Think Step-by-Step? A Mechanistic Study on Sequential Reasoning Tasks
Jia Liang, Liangming Pan
cs.AIcs.LGarXiv:2602.00449v12026
Flow as the Cross-Domain Manipulation Interface
Mengda Xu, Zhenjia Xu, Yinghao Xu +4
cs.ROcs.AIarXiv:2407.15208v22024
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning
Yang Zhao, Hao Zhang, Xiuyuan Hu
cs.LGcs.AIarXiv:2202.03599v32022
AdaMARP: An Adaptive Multi-Agent Interaction Framework for General Immersive Role-Playing
Zhenhua Xu, Dongsheng Chen, Shuo Wang +4
cs.AIcs.CLarXiv:2601.11007v22026
Reducing False Positives in Static Bug Detection with LLMs: An Empirical Study in Industry
Xueying Du, Jiayi Feng, Yi Zou +6
cs.SEcs.AIarXiv:2601.18844v12026
GR2: Generative Reasoning Re-ranker
Mingfu Liang, Yufei Li, Jay Xu +20
cs.IRcs.AIarXiv:2602.07774v62026
Dynamics Within Latent Chain-of-Thought: An Empirical Study of Causal Structure
Zirui Li, Xuefeng Bai, Kehai Chen +4
cs.AIcs.CLarXiv:2602.08783v32026
Image Generators with Conditionally-Independent Pixel Synthesis
Ivan Anokhin, Kirill Demochkin, Taras Khakhulin +3
cs.CVcs.AIcs.LGarXiv:2011.13775v12020
SWE Context Bench: A Benchmark for Context Learning in Coding
Jiayuan Zhu, Junde Wu, Minhao Hu +9
cs.SEcs.AIarXiv:2602.08316v32026
Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM
Xiong Wang, Yangze Li, Chaoyou Fu +5
cs.SDcs.AIcs.CLarXiv:2411.00774v52024
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples
Mahmoud Assran, Mathilde Caron, Ishan Misra +4
cs.CVcs.AIcs.LGarXiv:2104.13963v32021
Just-In-Time Reinforcement Learning: Continual Learning in LLM Agents Without Gradient Updates
Yibo Li, Zijie Lin, Ailin Deng +5
cs.LGcs.AIarXiv:2601.18510v32026
HiPER: Hierarchical Reinforcement Learning with Explicit Credit Assignment for Large Language Model Agents
Jiangweizhi Peng, Yuanxin Liu, Ruida Zhou +4
cs.LGcs.AIarXiv:2602.16165v22026
Low-Dimensional and Transversely Curved Optimization Dynamics in Grokking
Yongzhong Xu
cs.LGcs.AIarXiv:2602.16746v32026
ES-MemEval: Benchmarking Conversational Agents on Personalized Long-Term Emotional Support
Tiantian Chen, Jiaqi Lu, Ying Shen +1
cs.CLcs.AIarXiv:2602.01885v12026
The Generative AI Paradox: GenAI and the Erosion of Trust, the Corrosion of Information Verification, and the Demise of Truth
Emilio Ferrara
cs.CYcs.AIcs.HCarXiv:2601.00306v12026
AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing
Jiaxi Jiang, Paul Streli, Huajian Qiu +4
cs.CVcs.AIcs.GRarXiv:2207.13784v12022
AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware Transformers
Xumin Yu, Yongming Rao, Ziyi Wang +2
cs.CVcs.AIarXiv:2301.04545v12023
Industrialized Deception: The Collateral Effects of LLM-Generated Misinformation on Digital Ecosystems
Alexander Loth, Martin Kappes, Marc-Oliver Pahl
cs.CYcs.AIcs.CLarXiv:2601.21963v22026
QUASAR: A Universal Autonomous System for Atomistic Simulation and a Benchmark of Its Capabilities
Fengxu Yang, Jack D. Evans
cond-mat.mtrl-scics.AIarXiv:2602.00185v22026
Deep Whole-body Parkour
Ziwen Zhuang, Shaoting Zhu, Mengjie Zhao +1
cs.ROcs.AIarXiv:2601.07701v12026
Beyond Dialogue Time: Temporal Semantic Memory for Personalized LLM Agents
Miao Su, Yucan Guo, Zhongni Hou +8
cs.AIarXiv:2601.07468v22026
Tackling Data Heterogeneity in Federated Learning with Class Prototypes
Yutong Dai, Zeyuan Chen, Junnan Li +3
cs.LGcs.AIarXiv:2212.02758v22022
MogaNet: Multi-order Gated Aggregation Network
Siyuan Li, Zedong Wang, Zicheng Liu +6
cs.CVcs.AIarXiv:2211.03295v42022
Understanding Neural Networks via Feature Visualization: A survey
Anh Nguyen, Jason Yosinski, Jeff Clune
cs.LGcs.AIcs.CVarXiv:1904.08939v12019
Ethics of AI: A Systematic Literature Review of Principles and Challenges
Arif Ali Khan, Sher Badshah, Peng Liang +4
cs.CYcs.AIarXiv:2109.07906v12021
BiasScope: Towards Automated Detection of Bias in LLM-as-a-Judge Evaluation
Peng Lai, Zhihao Ou, Yong Wang +4
cs.CLcs.AIcs.SEarXiv:2602.09383v12026
Ask don't tell: Reducing sycophancy in large language models
Magda Dubois, Cozmin Ududec, Christopher Summerfield +1
cs.HCcs.AIarXiv:2602.23971v42026
HFedMoE: Resource-aware Heterogeneous Federated Learning with Mixture-of-Experts
Zihan Fang, Zheng Lin, Senkang Hu +5
cs.LGcs.AIcs.NIarXiv:2601.00583v12026
Improving Neural Question Generation using Answer Separation
Yanghoon Kim, Hwanhee Lee, Joongbo Shin +1
cs.CLcs.AIcs.NEarXiv:1809.02393v22018
ASTRA-bench: Evaluating Tool-Use Agent Reasoning and Action Planning with Personal User Context
Zidi Xiu, David Q. Sun, Kevin Cheng +9
cs.AIarXiv:2603.01357v12026
On the origin of neural scaling laws: from random graphs to natural language
Maissam Barkeshli, Alberto Alfarano, Andrey Gromov
cs.LGcond-mat.dis-nncs.AIarXiv:2601.10684v12026
ArchAgent: Agentic AI-driven Computer Architecture Discovery
Raghav Gupta, Akanksha Jain, Abraham Gonzalez +10
cs.AIcs.ARarXiv:2602.22425v12026
Context Matters: Repository-Aware Security Analysis of the Agent Skill Ecosystem
Florian Holzbauer, David Schmidt, Gabriel Gegenhuber +2
cs.CRcs.AIarXiv:2603.16572v22026
SleepLM: Natural-Language Intelligence for Human Sleep
Zongzhe Xu, Zitao Shuai, Eideen Mozaffari +3
cs.AIarXiv:2602.23605v22026
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories
Adnan Siraj Rakin, Md Hafizul Islam Chowdhuryy, Fan Yao +1
cs.CRcs.AIcs.CVarXiv:2111.04625v12021
Auditing Multi-Agent LLM Reasoning Trees Outperforms Majority Vote and LLM-as-Judge
Wei Yang, Shixuan Li, Heng Ping +3
cs.AIarXiv:2602.09341v22026
WebCoderBench: Benchmarking Web Application Generation with Comprehensive and Interpretable Evaluation Metrics
Chenxu Liu, Yingjie Fu, Wei Yang +2
cs.SEcs.AIarXiv:2601.02430v32026
AQAScore: Evaluating Semantic Alignment in Text-to-Audio Generation via Audio Question Answering
Chun-Yi Kuan, Kai-Wei Chang, Hung-yi Lee
eess.AScs.AIcs.CLarXiv:2601.14728v12026
Designing Interpretable ML System to Enhance Trust in Healthcare: A Systematic Review to Proposed Responsible Clinician-AI-Collaboration Framework
Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya +1
cs.AIcs.HCcs.LGarXiv:2311.11055v22023
Hypothesize-Then-Verify: Speculative Root Cause Analysis for Microservices with Pathwise Parallelism
Lingzhe Zhang, Tong Jia, Yunpeng Zhai +5
cs.SEcs.AIarXiv:2601.02736v12026
LLaTTE: Scaling Laws for Multi-Stage Sequence Modeling in Large-Scale Ads Recommendation
Lee Xiong, Zhirong Chen, Rahul Mayuranath +17
cs.IRcs.AIcs.LGarXiv:2601.20083v12026
ENEAS: Embedding-guided Neural Ensemble for Adaptive Segmentation
Javier del Pino, Salvador Rodríguez, Alejandro Garabito +2
cs.CVcs.AIarXiv:2609.03756v12026
IT-OSE: Exploring Optimal Sample Size for Industrial Data Augmentation
Mingchun Sun, Rongqiang Zhao, Zhennan Huang +2
cs.LGcs.AIarXiv:2602.15878v12026
Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks
Alon Jacovi, Avi Caciularu, Omer Goldman +1
cs.CLcs.AIarXiv:2305.10160v22023
Knowledge distillation from multi-modal to mono-modal segmentation networks
Minhao Hu, Matthis Maillard, Ya Zhang +4
cs.CVcs.AIstat.MLarXiv:2106.09564v12021
How AI Coding Agents Modify Code: A Large-Scale Study of GitHub Pull Requests
Daniel Ogenrwot, John Businge
cs.SEcs.AIarXiv:2601.17581v32026
An improvement of the convergence proof of the ADAM-Optimizer
Sebastian Bock, Josef Goppold, Martin Weiß
cs.LGcs.AIstat.MLarXiv:1804.10587v12018

Artificial Intelligence

RubRIX: Rubric-Driven Risk Mitigation in Caregiver-AI Interactions

Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential Tomorrow

MMR-Bench: A Comprehensive Benchmark for Multimodal LLM Routing

MMErroR: A Benchmark for Erroneous Reasoning in Vision-Language Models

CircuChain: Disentangling Competence and Compliance in LLM Circuit Analysis

Probability-Entropy Calibration: An Elastic Indicator for Adaptive Fine-tuning

Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering

Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN

Beyond Precision: Training-Inference Mismatch is an Optimization Problem and Simple LR Scheduling Fixes It

Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network

NextMem: Towards Latent Factual Memory for LLM-based Agents

Small Language Models: Survey, Measurements, and Insights

Do Latent-CoT Models Think Step-by-Step? A Mechanistic Study on Sequential Reasoning Tasks

Flow as the Cross-Domain Manipulation Interface

Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning

AdaMARP: An Adaptive Multi-Agent Interaction Framework for General Immersive Role-Playing

Reducing False Positives in Static Bug Detection with LLMs: An Empirical Study in Industry

GR2: Generative Reasoning Re-ranker

Dynamics Within Latent Chain-of-Thought: An Empirical Study of Causal Structure

Image Generators with Conditionally-Independent Pixel Synthesis

SWE Context Bench: A Benchmark for Context Learning in Coding

Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM

Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples

Just-In-Time Reinforcement Learning: Continual Learning in LLM Agents Without Gradient Updates

HiPER: Hierarchical Reinforcement Learning with Explicit Credit Assignment for Large Language Model Agents

Low-Dimensional and Transversely Curved Optimization Dynamics in Grokking

ES-MemEval: Benchmarking Conversational Agents on Personalized Long-Term Emotional Support

The Generative AI Paradox: GenAI and the Erosion of Trust, the Corrosion of Information Verification, and the Demise of Truth

AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing

AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware Transformers

Industrialized Deception: The Collateral Effects of LLM-Generated Misinformation on Digital Ecosystems

QUASAR: A Universal Autonomous System for Atomistic Simulation and a Benchmark of Its Capabilities

Deep Whole-body Parkour

Beyond Dialogue Time: Temporal Semantic Memory for Personalized LLM Agents

Tackling Data Heterogeneity in Federated Learning with Class Prototypes

MogaNet: Multi-order Gated Aggregation Network

Understanding Neural Networks via Feature Visualization: A survey

Ethics of AI: A Systematic Literature Review of Principles and Challenges

BiasScope: Towards Automated Detection of Bias in LLM-as-a-Judge Evaluation

Ask don't tell: Reducing sycophancy in large language models

HFedMoE: Resource-aware Heterogeneous Federated Learning with Mixture-of-Experts

Improving Neural Question Generation using Answer Separation

ASTRA-bench: Evaluating Tool-Use Agent Reasoning and Action Planning with Personal User Context

On the origin of neural scaling laws: from random graphs to natural language

ArchAgent: Agentic AI-driven Computer Architecture Discovery

Context Matters: Repository-Aware Security Analysis of the Agent Skill Ecosystem

SleepLM: Natural-Language Intelligence for Human Sleep

DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories

Auditing Multi-Agent LLM Reasoning Trees Outperforms Majority Vote and LLM-as-Judge

WebCoderBench: Benchmarking Web Application Generation with Comprehensive and Interpretable Evaluation Metrics

AQAScore: Evaluating Semantic Alignment in Text-to-Audio Generation via Audio Question Answering

Designing Interpretable ML System to Enhance Trust in Healthcare: A Systematic Review to Proposed Responsible Clinician-AI-Collaboration Framework

Hypothesize-Then-Verify: Speculative Root Cause Analysis for Microservices with Pathwise Parallelism

LLaTTE: Scaling Laws for Multi-Stage Sequence Modeling in Large-Scale Ads Recommendation

ENEAS: Embedding-guided Neural Ensemble for Adaptive Segmentation

IT-OSE: Exploring Optimal Sample Size for Industrial Data Augmentation

Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks

Knowledge distillation from multi-modal to mono-modal segmentation networks

How AI Coding Agents Modify Code: A Large-Scale Study of GitHub Pull Requests

An improvement of the convergence proof of the ADAM-Optimizer