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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16,501 to 16,560 of 28,135

CoRE: Weakly Supervised Coarse-to-Fine Risk Evidence Learning in Driving Videos
Kaiser Hamid, Can Cui, Nade Liang
cs.CVcs.AIarXiv:2608.25344v12026
SCROLLS: Standardized CompaRison Over Long Language Sequences
Uri Shaham, Elad Segal, Maor Ivgi +8
cs.CLcs.AIcs.LGarXiv:2201.03533v22022
DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding
Tao Shen, Tianyi Zhou, Guodong Long +3
cs.CLcs.AIarXiv:1709.04696v32017
From Chunks to Functional Evidence: Function-Aware Retrieval for EDA Documentation QA
Xiaotian Qiu, Kairui Liu, Shi Chenyi +3
cs.IRcs.AIarXiv:2610.09361v12026
SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval under Acoustic Noise
Yuejie Li, Ke Yang, Yueying Hua +4
cs.IRcs.AIarXiv:2602.12783v32026
WorldAgen: Unified State-Action Prediction with Test-Time World Model Training
Chi Wan, Kangrui Wang, Yuan Si +2
cs.AIarXiv:2609.08162v12026
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
Keyu Tian, Yi Jiang, Zehuan Yuan +2
cs.CVcs.AIarXiv:2404.02905v22024
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
Bohao Peng, Zhuotao Tian, Xiaoyang Wu +4
cs.CVcs.AIarXiv:2303.14652v12023
A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale
Michael G. Kapteyn, Jacob V. R. Pretorius, Karen E. Willcox
cs.CEcs.AIcs.LGarXiv:2012.05841v32020
Attention Sinks in Diffusion Language Models
Maximo Eduardo Rulli, Simone Petruzzi, Edoardo Michielon +3
cs.CLcs.AIarXiv:2510.15731v22025
Test-time regression: a unifying framework for designing sequence models with associative memory
Ke Alexander Wang, Jiaxin Shi, Emily B. Fox
cs.LGcs.AIcs.NEarXiv:2501.12352v32025
SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
Xiangyi Li, Wenbo Chen, Yimin Liu +37
cs.AIarXiv:2602.12670v12026
Domino: Discovering Systematic Errors with Cross-Modal Embeddings
Sabri Eyuboglu, Maya Varma, Khaled Saab +5
cs.LGcs.AIarXiv:2203.14960v32022
SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs
Mohammad Mozaffari, Amir Yazdanbakhsh, Zhao Zhang +1
cs.LGcs.AIarXiv:2405.16325v32024
Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing
Junfei Wu, Jian Guan, Kaituo Feng +5
cs.CVcs.AIarXiv:2506.09965v22025
Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models
Taiqiang Wu, Chaofan Tao, Jiahao Wang +3
cs.CLcs.AIarXiv:2404.02657v42024
The Generative AI Paradox: "What It Can Create, It May Not Understand"
Peter West, Ximing Lu, Nouha Dziri +11
cs.AIcs.CLcs.CVarXiv:2311.00059v12023
LoMar: A Local Defense Against Poisoning Attack on Federated Learning
Xingyu Li, Zhe Qu, Shangqing Zhao +3
cs.LGcs.AIcs.CRarXiv:2201.02873v12022
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation
Jiaqi Gu, Hyoukjun Kwon, Dilin Wang +6
cs.CVcs.AIcs.LGarXiv:2111.01236v22021
SMTrap: Cost-Effective DoS Attacks Against Large Reasoning Models via SMT Conflict Guidance
Jian Yang, Zhenqi Feng, Zhaoyang Yu +7
cs.CLcs.AIarXiv:2608.18921v12026
Quantifying System-Level Harms from AI Adoption in Complex Sociotechnical Systems
Paul Vautravers, Oliver Chalkley, Gabriel Downer +2
cs.AIarXiv:2608.23906v12026
Silo-Bench: A Scalable Environment for Evaluating Distributed Coordination in Multi-Agent LLM Systems
Yuzhe Zhang, Feiran Liu, Yi Shan +8
cs.MAcs.AIarXiv:2603.01045v22026
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Cheng-Yu Hsieh, Chun-Liang Li, Chih-Kuan Yeh +6
cs.CLcs.AIcs.LGarXiv:2305.02301v22023
Can I Have Your Order? Monte-Carlo Tree Search for Slot Filling Ordering in Diffusion Language Models
Joshua Ong Jun Leang, Yu Zhao, Mihaela Cătălina Stoian +3
cs.AIarXiv:2602.12586v22026
Automatic Prompt Optimization with "Gradient Descent" and Beam Search
Reid Pryzant, Dan Iter, Jerry Li +3
cs.CLcs.AIcs.LGarXiv:2305.03495v22023
Explainable Uncertainty Estimation for Reliable Medical AI
Li Rong Wang, Jamie Duell, Xinran Xu +6
cs.LGcs.AIarXiv:2608.28052v12026
NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation
Shengming Yin, Chenfei Wu, Huan Yang +13
cs.CVcs.AIarXiv:2303.12346v12023
EMERGE: Resolution-Agnostic Point Cloud Generation with Equivariant Graph-Based Diffusion
Ilias Mitsouras, Nikolaos Chaidos, Giorgos Stamou +1
cs.CVcs.AIcs.LGarXiv:2609.26039v12026
ASP-Core-2 Input Language Format
Francesco Calimeri, Wolfgang Faber, Martin Gebser +7
cs.AIcs.LOarXiv:1911.04326v12019
Stratified Transformer for 3D Point Cloud Segmentation
Xin Lai, Jianhui Liu, Li Jiang +5
cs.CVcs.AIarXiv:2203.14508v12022
ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment
Tarek Naous, Michael J. Ryan, Anton Lavrouk +2
cs.CLcs.AIcs.LGarXiv:2305.14463v42023
AIConfigurator: Lightning-Fast Configuration Optimization for Multi-Framework LLM Serving
Tianhao Xu, Yiming Liu, Xianglong Lu +18
cs.LGcs.AIcs.DCarXiv:2601.06288v12026
Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward
Renjun Xu, Yang Yan
cs.MAcs.AIarXiv:2602.12430v42026
Preemptive Detection and Correction of Misaligned Actions in LLM Agents
Haishuo Fang, Xiaodan Zhu, Iryna Gurevych
cs.CLcs.AIarXiv:2407.11843v42024
Parallelizing Linear Recurrent Neural Nets Over Sequence Length
Eric Martin, Chris Cundy
cs.NEcs.AIcs.LGarXiv:1709.04057v22017
Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning
Praveen Palanisamy
cs.LGcs.AIcs.MAarXiv:1911.04175v12019
The Shape of Addition: Geometric Structures of Arithmetic in Large Language Models
Liuyuan Wen, Xun Zhu, Lihao Huang +2
cs.LGcs.AIarXiv:2606.03645v12026
Continuous Deep Q-Learning with Model-based Acceleration
Shixiang Gu, Timothy Lillicrap, Ilya Sutskever +1
cs.LGcs.AIcs.ROarXiv:1603.00748v12016
Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning
Haozhen Zhang, Tao Feng, Jiaxuan You
cs.CLcs.AIcs.LGarXiv:2506.09033v32025
Ethical Machine Learning in Health Care
Irene Y. Chen, Emma Pierson, Sherri Rose +3
cs.CYcs.AIcs.LGarXiv:2009.10576v32020
Towards the Generalization of Contrastive Self-Supervised Learning
Weiran Huang, Mingyang Yi, Xuyang Zhao +1
cs.LGcs.AIcs.CVarXiv:2111.00743v42021
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs
Rohan Chitnis, Tom Silver, Beomjoon Kim +2
cs.LGcs.AIcs.ROarXiv:2007.13202v32020
Deep Survival Analysis
Rajesh Ranganath, Adler Perotte, Noémie Elhadad +1
stat.MLcs.AIstat.MEarXiv:1608.02158v22016
Scaling Verification Can Be More Effective than Scaling Policy Learning for Vision-Language-Action Alignment
Jacky Kwok, Xilun Zhang, Mengdi Xu +4
cs.ROcs.AIeess.SYarXiv:2602.12281v22026
Modeling Human Driving Behavior through Generative Adversarial Imitation Learning
Raunak Bhattacharyya, Blake Wulfe, Derek Phillips +4
cs.AIarXiv:2006.06412v22020
AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone?
Shambhavi Mishra, Gaurav Sahu, Marco Pedersoli +3
cs.AIarXiv:2510.05432v22025
DC-AE 1.5: Accelerating Diffusion Model Convergence with Structured Latent Space
Junyu Chen, Dongyun Zou, Wenkun He +4
cs.CVcs.AIarXiv:2508.00413v12025
Few-shot In-context Learning for Knowledge Base Question Answering
Tianle Li, Xueguang Ma, Alex Zhuang +3
cs.CLcs.AIarXiv:2305.01750v22023
MTR-DuplexBench: Towards a Comprehensive Evaluation of Multi-Round Conversations for Full-Duplex Speech Language Models
He Zhang, Wenqian Cui, Haoning Xu +5
cs.CLcs.AIeess.ASarXiv:2511.10262v32025
Efficient Large-Scale Multi-Drone Delivery Using Transit Networks
Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer +1
cs.ROcs.AIcs.MAarXiv:1909.11840v52019
Kernel-Complexity Edge Sanitization for Training-Free Defense against Structural Graph Attacks
Yaning Jia, Shenyang Deng, Yaoqing Yang +3
cs.LGcs.AIarXiv:2609.09698v12026
Correcting a learned physical invariant improves world-model rollouts
Richard Bao
cs.AIarXiv:2608.23526v12026
Don't Just Listen, Try Planning: Graph-based Retrieval-Generation Agent for Long-form Audio Meeting Understanding
Quanwei Tang, Dong Zhang, Shoushan Li +1
cs.SDcs.AIarXiv:2608.24048v12026
On the Binding Problem in Artificial Neural Networks
Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
cs.NEcs.AIcs.LGarXiv:2012.05208v12020
TamilEOT: A Dataset and Model for Semantic End-of-Turn Detection in Tamil Telephone Speech
Santhoshkumar V
cs.CLcs.AIcs.SDarXiv:2609.05631v12026
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search
Nicola Dainese, Matteo Merler, Minttu Alakuijala +1
cs.AIarXiv:2405.15383v22024
Generalized Proximal Policy Optimization with Sample Reuse
James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras
cs.LGcs.AIstat.MLarXiv:2111.00072v12021
HyperCLOVA X Technical Report
Kang Min Yoo, Jaegeun Han, Sookyo In +393
cs.CLcs.AIarXiv:2404.01954v22024
Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data
Canwen Xu, Daya Guo, Nan Duan +1
cs.CLcs.AIarXiv:2304.01196v42023
Agent Network Protocol Technical White Paper
Gaowei Chang, Eidan Lin, Chengxuan Yuan +4
cs.NIcs.AIarXiv:2508.00007v12025

Artificial Intelligence

CoRE: Weakly Supervised Coarse-to-Fine Risk Evidence Learning in Driving Videos

SCROLLS: Standardized CompaRison Over Long Language Sequences

DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding

From Chunks to Functional Evidence: Function-Aware Retrieval for EDA Documentation QA

SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval under Acoustic Noise

WorldAgen: Unified State-Action Prediction with Test-Time World Model Training

Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation

A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale

Attention Sinks in Diffusion Language Models

Test-time regression: a unifying framework for designing sequence models with associative memory

SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks

Domino: Discovering Systematic Errors with Cross-Modal Embeddings

SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs

Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing

Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models

The Generative AI Paradox: "What It Can Create, It May Not Understand"

LoMar: A Local Defense Against Poisoning Attack on Federated Learning

Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation

SMTrap: Cost-Effective DoS Attacks Against Large Reasoning Models via SMT Conflict Guidance

Quantifying System-Level Harms from AI Adoption in Complex Sociotechnical Systems

Silo-Bench: A Scalable Environment for Evaluating Distributed Coordination in Multi-Agent LLM Systems

Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

Can I Have Your Order? Monte-Carlo Tree Search for Slot Filling Ordering in Diffusion Language Models

Automatic Prompt Optimization with "Gradient Descent" and Beam Search

Explainable Uncertainty Estimation for Reliable Medical AI

NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation

EMERGE: Resolution-Agnostic Point Cloud Generation with Equivariant Graph-Based Diffusion

ASP-Core-2 Input Language Format

Stratified Transformer for 3D Point Cloud Segmentation

ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment

AIConfigurator: Lightning-Fast Configuration Optimization for Multi-Framework LLM Serving

Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward

Preemptive Detection and Correction of Misaligned Actions in LLM Agents

Parallelizing Linear Recurrent Neural Nets Over Sequence Length

Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning

The Shape of Addition: Geometric Structures of Arithmetic in Large Language Models

Continuous Deep Q-Learning with Model-based Acceleration

Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning

Ethical Machine Learning in Health Care

Towards the Generalization of Contrastive Self-Supervised Learning

CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs

Deep Survival Analysis

Scaling Verification Can Be More Effective than Scaling Policy Learning for Vision-Language-Action Alignment

Modeling Human Driving Behavior through Generative Adversarial Imitation Learning

AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone?

DC-AE 1.5: Accelerating Diffusion Model Convergence with Structured Latent Space

Few-shot In-context Learning for Knowledge Base Question Answering

MTR-DuplexBench: Towards a Comprehensive Evaluation of Multi-Round Conversations for Full-Duplex Speech Language Models

Efficient Large-Scale Multi-Drone Delivery Using Transit Networks

Kernel-Complexity Edge Sanitization for Training-Free Defense against Structural Graph Attacks

Correcting a learned physical invariant improves world-model rollouts

Don't Just Listen, Try Planning: Graph-based Retrieval-Generation Agent for Long-form Audio Meeting Understanding

On the Binding Problem in Artificial Neural Networks

TamilEOT: A Dataset and Model for Semantic End-of-Turn Detection in Tamil Telephone Speech

Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search

Generalized Proximal Policy Optimization with Sample Reuse

HyperCLOVA X Technical Report

Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data

Agent Network Protocol Technical White Paper