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.

Search paper metadata (including unsummarized papers)

13,381 to 13,440 of 15,466

The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems
Robert Krajewski, Julian Bock, Laurent Kloeker +1
cs.CVcs.AIcs.IRarXiv:1810.05642v12018
Towards Accurate Generative Models of Video: A New Metric & Challenges
Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach +3
cs.CVcs.AIcs.LGarXiv:1812.01717v22018
Seeing the Needle in the Haystack: Towards Weakly-Supervised Log Instance Anomaly Localization via Counterfactual Perturbation
Yutszyuk Wong, Wentai Wu, Yuen-Ying Yeung +1
cs.LGcs.AIarXiv:2605.10988v12026
Learning Multiagent Communication with Backpropagation
Sainbayar Sukhbaatar, Arthur Szlam, Rob Fergus
cs.LGcs.AIarXiv:1605.07736v22016
When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories
Alex Mallen, Akari Asai, Victor Zhong +3
cs.CLcs.AIcs.LGarXiv:2212.10511v42022
Capabilities of GPT-4 on Medical Challenge Problems
Harsha Nori, Nicholas King, Scott Mayer McKinney +2
cs.CLcs.AIarXiv:2303.13375v22023
RigidFormer: Learning Rigid Dynamics using Transformers
Zhiyang Dou, Minghao Guo, Haixu Wu +3
cs.CVcs.AIcs.GRarXiv:2605.09196v12026
DiagnosticIQ: A Benchmark for LLM-Based Industrial Maintenance Action Recommendation from Symbolic Rules
Devin Yasith De Silva, Dhaval Patel, Christodoulos Constantinides +7
cs.AIarXiv:2605.08614v12026
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
DeepSeek-AI, Aixin Liu, Bei Feng +154
cs.CLcs.AIarXiv:2405.04434v52024
SeePhys Pro: Diagnosing Modality Transfer and Blind-Training Effects in Multimodal RLVR for Physics Reasoning
Kun Xiang, Terry Jingchen Zhang, Zirong Liu +15
cs.AIarXiv:2605.09266v22026
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Adrien Bardes, Jean Ponce, Yann LeCun
cs.CVcs.AIcs.LGarXiv:2105.04906v32021
LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models
Songtao Wei, Yi Li, Zhikai Li +7
cs.LGcs.AIarXiv:2605.09806v12026
A Review on Deep Learning Techniques Applied to Semantic Segmentation
Alberto Garcia-Garcia, Sergio Orts-Escolano, Sergiu Oprea +2
cs.CVcs.AIarXiv:1704.06857v12017
LIMA: Less Is More for Alignment
Chunting Zhou, Pengfei Liu, Puxin Xu +12
cs.CLcs.AIcs.LGarXiv:2305.11206v12023
Taskonomy: Disentangling Task Transfer Learning
Amir Zamir, Alexander Sax, William Shen +3
cs.CVcs.AIcs.LGarXiv:1804.08328v12018
How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation
Chia-Wei Liu, Ryan Lowe, Iulian V. Serban +3
cs.CLcs.AIcs.LGarXiv:1603.08023v22016
MetaFormer Is Actually What You Need for Vision
Weihao Yu, Mi Luo, Pan Zhou +5
cs.CVcs.AIcs.LGarXiv:2111.11418v32021
Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy
Ben Shneiderman
cs.HCcs.AIarXiv:2002.04087v22020
Deep Learning in Spiking Neural Networks
Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh +2
cs.NEcs.AIarXiv:1804.08150v42018
Stacked Cross Attention for Image-Text Matching
Kuang-Huei Lee, Xi Chen, Gang Hua +2
cs.CVcs.AIcs.LGarXiv:1803.08024v22018
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
Di Jin, Zhijing Jin, Joey Tianyi Zhou +1
cs.CLcs.AIcs.LGarXiv:1907.11932v62019
A Literature Survey of Benchmark Functions For Global Optimization Problems
Momin Jamil, Xin-She Yang
cs.AImath.OCarXiv:1308.4008v12013
MemReread: Enhancing Agentic Long-Context Reasoning via Memory-Guided Rereading
Baibei Ji, Xiaoyang Weng, Juntao Li +3
cs.CLcs.AIarXiv:2605.10268v12026
DeepRefine: Agent-Compiled Knowledge Refinement via Reinforcement Learning
Haoyu Huang, Jiaxin Bai, Shujie Liu +6
cs.CLcs.AIarXiv:2605.10488v12026
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
Wenhu Chen, Xueguang Ma, Xinyi Wang +1
cs.CLcs.AIarXiv:2211.12588v42022
VideoBERT: A Joint Model for Video and Language Representation Learning
Chen Sun, Austin Myers, Carl Vondrick +2
cs.CVcs.AIarXiv:1904.01766v22019
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Haokun Liu, Derek Tam, Mohammed Muqeeth +4
cs.LGcs.AIcs.CLarXiv:2205.05638v22022
TMAS: Scaling Test-Time Compute via Multi-Agent Synergy
George Wu, Nan Jing, Qing Yi +7
cs.AIarXiv:2605.10344v22026
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Vincent Sitzmann, Michael Zollhöfer, Gordon Wetzstein
cs.CVcs.AIarXiv:1906.01618v22019
Key-Value Means: Transformers with Expandable Block-Recurrent Compressed Memory
Daniel Goldstein, Navneel Singhal, Eugene Cheah
cs.LGcs.AIcs.CLarXiv:2605.09877v52026
Active Tabular Augmentation via Policy-Guided Diffusion Inpainting
Zheyu Zhang, Shuo Yang, Bardh Prenkaj +1
cs.LGcs.AIarXiv:2605.10315v12026
WildRelight: A Real-World Benchmark and Physics-Guided Adaptation for Single-Image Relighting
Lezhong Wang, Mehmet Onurcan Kaya, Siavash Bigdeli +1
cs.CVcs.AIcs.GRarXiv:2605.11696v12026
AlphaGRPO: Unlocking Self-Reflective Multimodal Generation in UMMs via Decompositional Verifiable Reward
Runhui Huang, Jie Wu, Rui Yang +2
cs.CVcs.AIcs.LGarXiv:2605.12495v12026
Do Enterprise Systems Need Learned World Models? The Importance of Context to Infer Dynamics
Jishnu Sethumadhavan Nair, Patrice Bechard, Rishabh Maheshwary +14
cs.AIcs.CLcs.LGarXiv:2605.12178v12026
CoQA: A Conversational Question Answering Challenge
Siva Reddy, Danqi Chen, Christopher D. Manning
cs.CLcs.AIcs.LGarXiv:1808.07042v22018
Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding
Valeriy Vyaltsev, Alsu Sagirova, Anton Andreychuk +5
cs.AIcs.LGcs.MAarXiv:2605.07637v22026
Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling
Eilam Shapira, Moshe Tennenholtz, Roi Reichart
cs.LGcs.AIcs.CLarXiv:2605.12411v12026
Debiased Model-based Representations for Sample-efficient Continuous Control
Jiafei Lyu, Zichuan Lin, Scott Fujimoto +5
cs.LGcs.AIarXiv:2605.11711v12026
AST: Audio Spectrogram Transformer
Yuan Gong, Yu-An Chung, James Glass
cs.SDcs.AIarXiv:2104.01778v32021
Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenization
Xuanyu Zhu, Yan Bai, Yang Shi +4
cs.CVcs.AIarXiv:2605.10780v22026
Improved Knowledge Distillation via Teacher Assistant
Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li +3
cs.LGcs.AIstat.MLarXiv:1902.03393v22019
WriteSAE: Sparse Autoencoders for Recurrent State
Jack Young
cs.LGcs.AIcs.CLarXiv:2605.12770v42026
SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers
Danfeng Hong, Zhu Han, Jing Yao +4
cs.CVcs.AIarXiv:2107.02988v22021
StereoSet: Measuring stereotypical bias in pretrained language models
Moin Nadeem, Anna Bethke, Siva Reddy
cs.CLcs.AIcs.CYarXiv:2004.09456v12020
Orthrus: Memory-Efficient Parallel Token Generation via Dual-View Diffusion
Chien Van Nguyen, Chaitra Hegde, Van Cuong Pham +3
cs.LGcs.AIarXiv:2605.12825v22026
BloombergGPT: A Large Language Model for Finance
Shijie Wu, Ozan Irsoy, Steven Lu +6
cs.LGcs.AIcs.CLarXiv:2303.17564v32023
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification
Jiancheng Yang, Rui Shi, Donglai Wei +5
cs.CVcs.AIcs.LGarXiv:2110.14795v22021
MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities
Mingqiao Ye, Zhaochong An, Zhitong Gao +11
cs.CVcs.AIcs.LGarXiv:2607.25948v12026
DeepMind Control Suite
Yuval Tassa, Yotam Doron, Alistair Muldal +9
cs.AIarXiv:1801.00690v12018
SPIN: Structural LLM Planning via Iterative Navigation for Industrial Tasks
Yusuke Ozaki, Dhaval Patel
cs.AIarXiv:2605.14051v12026
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li, John Thickstun, Ishaan Gulrajani +2
cs.CLcs.AIcs.LGarXiv:2205.14217v12022
Do Vision Transformers See Like Convolutional Neural Networks?
Maithra Raghu, Thomas Unterthiner, Simon Kornblith +2
cs.CVcs.AIcs.LGarXiv:2108.08810v22021
Training Large Language Models to Predict Clinical Events
Benjamin Turtel, Paul Wilczewski, Kris Skotheim
cs.LGcs.AIcs.CLarXiv:2605.12817v12026
Vividh-ASR: A Complexity-Tiered Benchmark and Optimization Dynamics for Robust Indic Speech Recognition
Kush Juvekar, Kavya Manohar, Aditya Srinivas Menon +2
cs.CLcs.AIarXiv:2605.13087v22026
Context Training with Active Information Seeking
Zeyu Huang, Adhiguna Kuncoro, Qixuan Feng +4
cs.CLcs.AIarXiv:2605.13050v22026
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks
Nicholas Carlini, Chang Liu, Úlfar Erlingsson +2
cs.LGcs.AIcs.CRarXiv:1802.08232v32018
RealICU: Do LLM Agents Understand Long-Context ICU Data? A Benchmark Beyond Behavior Imitation
Chengzhi Shen, Weixiang Shen, Tobias Susetzky +8
cs.AIcs.CLcs.LGarXiv:2605.13542v12026
MAP: A Map-then-Act Paradigm for Long-Horizon Interactive Agent Reasoning
Yuxin Liu, Ziang Ye, Yueqing Sun +6
cs.AIarXiv:2605.13037v12026
Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference
Wei-Lin Chiang, Lianmin Zheng, Ying Sheng +8
cs.AIcs.CLarXiv:2403.04132v12024
Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
cs.LGcs.AIcs.CLarXiv:2605.15012v12026

Artificial Intelligence

The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems

Towards Accurate Generative Models of Video: A New Metric & Challenges

Seeing the Needle in the Haystack: Towards Weakly-Supervised Log Instance Anomaly Localization via Counterfactual Perturbation

Learning Multiagent Communication with Backpropagation

When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories

Capabilities of GPT-4 on Medical Challenge Problems

RigidFormer: Learning Rigid Dynamics using Transformers

DiagnosticIQ: A Benchmark for LLM-Based Industrial Maintenance Action Recommendation from Symbolic Rules

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

SeePhys Pro: Diagnosing Modality Transfer and Blind-Training Effects in Multimodal RLVR for Physics Reasoning

VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models

A Review on Deep Learning Techniques Applied to Semantic Segmentation

LIMA: Less Is More for Alignment

Taskonomy: Disentangling Task Transfer Learning

How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation

MetaFormer Is Actually What You Need for Vision

Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy

Deep Learning in Spiking Neural Networks

Stacked Cross Attention for Image-Text Matching

Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment

A Literature Survey of Benchmark Functions For Global Optimization Problems

MemReread: Enhancing Agentic Long-Context Reasoning via Memory-Guided Rereading

DeepRefine: Agent-Compiled Knowledge Refinement via Reinforcement Learning

Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

VideoBERT: A Joint Model for Video and Language Representation Learning

Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning

TMAS: Scaling Test-Time Compute via Multi-Agent Synergy

Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations

Key-Value Means: Transformers with Expandable Block-Recurrent Compressed Memory

Active Tabular Augmentation via Policy-Guided Diffusion Inpainting

WildRelight: A Real-World Benchmark and Physics-Guided Adaptation for Single-Image Relighting

AlphaGRPO: Unlocking Self-Reflective Multimodal Generation in UMMs via Decompositional Verifiable Reward

Do Enterprise Systems Need Learned World Models? The Importance of Context to Infer Dynamics

CoQA: A Conversational Question Answering Challenge

Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding

Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling

Debiased Model-based Representations for Sample-efficient Continuous Control

AST: Audio Spectrogram Transformer

Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenization

Improved Knowledge Distillation via Teacher Assistant

WriteSAE: Sparse Autoencoders for Recurrent State

SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers

StereoSet: Measuring stereotypical bias in pretrained language models

Orthrus: Memory-Efficient Parallel Token Generation via Dual-View Diffusion

BloombergGPT: A Large Language Model for Finance

MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification

MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities

DeepMind Control Suite

SPIN: Structural LLM Planning via Iterative Navigation for Industrial Tasks

Diffusion-LM Improves Controllable Text Generation

Do Vision Transformers See Like Convolutional Neural Networks?

Training Large Language Models to Predict Clinical Events

Vividh-ASR: A Complexity-Tiered Benchmark and Optimization Dynamics for Robust Indic Speech Recognition

Context Training with Active Information Seeking

The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks

RealICU: Do LLM Agents Understand Long-Context ICU Data? A Benchmark Beyond Behavior Imitation

MAP: A Map-then-Act Paradigm for Long-Horizon Interactive Agent Reasoning

Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance