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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25,441 to 25,500 of 27,161

Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning
Enna Sachdeva, Nakul Agarwal, Suhas Chundi +5
cs.CVcs.AIcs.LGarXiv:2309.06597v22023
GuessWhat?! Visual object discovery through multi-modal dialogue
Harm de Vries, Florian Strub, Sarath Chandar +3
cs.AIcs.CVarXiv:1611.08481v22016
Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme
Suncong Zheng, Feng Wang, Hongyun Bao +3
cs.CLcs.AIcs.LGarXiv:1706.05075v12017
A parallel corpus of Python functions and documentation strings for automated code documentation and code generation
Antonio Valerio Miceli Barone, Rico Sennrich
cs.CLcs.AIarXiv:1707.02275v12017
Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video
Mohammad Javad Shafiee, Brendan Chywl, Francis Li +1
cs.CVcs.AIcs.NEarXiv:1709.05943v12017
SweetTok: Semantic-Aware Spatial-Temporal Tokenizer for Compact Video Discretization
Zhentao Tan, Ben Xue, Jian Jia +7
cs.CVcs.AIarXiv:2412.10443v32024
AutoGLM: Autonomous Foundation Agents for GUIs
Xiao Liu, Bo Qin, Dongzhu Liang +27
cs.HCcs.AIcs.CLarXiv:2411.00820v12024
Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory
Xin Cheng, Di Luo, Xiuying Chen +3
cs.CLcs.AIarXiv:2305.02437v32023
RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning
Yan Duan, John Schulman, Xi Chen +3
cs.AIcs.LGcs.NEarXiv:1611.02779v22016
Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems
Wang Ling, Dani Yogatama, Chris Dyer +1
cs.AIcs.CLcs.LGarXiv:1705.04146v32017
ToolACE: Winning the Points of LLM Function Calling
Weiwen Liu, Xu Huang, Xingshan Zeng +24
cs.LGcs.AIcs.CLarXiv:2409.00920v22024
From Copilot to Pilot: Towards AI Supported Software Development
Rohith Pudari, Neil A. Ernst
cs.SEcs.AIcs.LGarXiv:2303.04142v12023
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning
Dylan J. Foster, Adam Block, Dipendra Misra
cs.LGcs.AImath.STarXiv:2407.15007v22024
A Review on Deep Learning Techniques Applied to Semantic Segmentation
Alberto Garcia-Garcia, Sergio Orts-Escolano, Sergiu Oprea +2
cs.CVcs.AIarXiv:1704.06857v12017
MAUVE Scores for Generative Models: Theory and Practice
Krishna Pillutla, Lang Liu, John Thickstun +6
cs.LGcs.AIcs.CLarXiv:2212.14578v22022
T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects
Tomas Hodan, Pavel Haluza, Stepan Obdrzalek +3
cs.CVcs.AIcs.ROarXiv:1701.05498v12017
Deep Learning for Sensor-based Activity Recognition: A Survey
Jindong Wang, Yiqiang Chen, Shuji Hao +2
cs.CVcs.AIcs.LGarXiv:1707.03502v22017
"We'll Fix It Later": Education, AI, and the Deferral of Privacy in EdTech
Meghna Manoj Nair, Rachel Greenstadt
cs.CYcs.AIarXiv:2609.28137v12026
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
Jesse Engel, Cinjon Resnick, Adam Roberts +4
cs.LGcs.AIcs.SDarXiv:1704.01279v12017
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
Soroush Mehri, Kundan Kumar, Ishaan Gulrajani +5
cs.SDcs.AIarXiv:1612.07837v22016
CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning
Zheqi He, Xinya Wu, Pengfei Zhou +5
cs.CLcs.AIcs.MMarXiv:2401.14011v32024
Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing
Ke Gong, Xiaodan Liang, Dongyu Zhang +2
cs.CVcs.AIcs.LGarXiv:1703.05446v22017
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
Leon Derczynski, Kalina Bontcheva, Maria Liakata +3
cs.CLcs.AIarXiv:1704.05972v12017
Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations
Karthik Gopalakrishnan, Behnam Hedayatnia, Qinlang Chen +5
cs.CLcs.AIarXiv:2308.11995v12023
An In-depth Survey of Large Language Model-based Artificial Intelligence Agents
Pengyu Zhao, Zijian Jin, Ning Cheng
cs.CLcs.AIarXiv:2309.14365v12023
Collaborative vehicle routing: a survey
Margaretha Gansterer, Richard F. Hartl
cs.MAcs.AIcs.CYarXiv:1706.05254v12017
Ontology based Scene Creation for the Development of Automated Vehicles
Gerrit Bagschik, Till Menzel, Markus Maurer
cs.AIcs.ROarXiv:1704.01006v52017
Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation
Lei Tai, Giuseppe Paolo, Ming Liu
cs.ROcs.AIcs.LGarXiv:1703.00420v42017
AGIQA-3K: An Open Database for AI-Generated Image Quality Assessment
Chunyi Li, Zicheng Zhang, Haoning Wu +5
cs.CVcs.AIeess.IVarXiv:2306.04717v22023
DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning
Abhay Zala, Han Lin, Jaemin Cho +1
cs.CVcs.AIcs.CLarXiv:2310.12128v22023
The LAMBADA dataset: Word prediction requiring a broad discourse context
Denis Paperno, Germán Kruszewski, Angeliki Lazaridou +6
cs.CLcs.AIcs.LGarXiv:1606.06031v12016
Can ChatGPT Reproduce Human-Generated Labels? A Study of Social Computing Tasks
Yiming Zhu, Peixian Zhang, Ehsan-Ul Haq +2
cs.AIcs.CLarXiv:2304.10145v22023
Can GPT-3 Perform Statutory Reasoning?
Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme
cs.CLcs.AIarXiv:2302.06100v22023
A Differentiable Physics Engine for Deep Learning in Robotics
Jonas Degrave, Michiel Hermans, Joni Dambre +1
cs.NEcs.AIcs.ROarXiv:1611.01652v22016
Thinking Fast and Slow in Large Language Models
Thilo Hagendorff, Sarah Fabi, Michal Kosinski
cs.CLcs.AIcs.LGarXiv:2212.05206v22022
OpenAI Gym
Greg Brockman, Vicki Cheung, Ludwig Pettersson +4
cs.LGcs.AIarXiv:1606.01540v12016
GenRec: Large Language Model for Generative Recommendation
Jianchao Ji, Zelong Li, Shuyuan Xu +4
cs.IRcs.AIcs.CLarXiv:2307.00457v22023
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues
Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe +4
cs.CLcs.AIcs.LGarXiv:1605.06069v32016
Toward Controlled Generation of Text
Zhiting Hu, Zichao Yang, Xiaodan Liang +2
cs.LGcs.AIcs.CLarXiv:1703.00955v42017
Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning
Ronald Kemker, Carl Salvaggio, Christopher Kanan
cs.CVcs.AIarXiv:1703.06452v32017
Deep Fruit Detection in Orchards
Suchet Bargoti, James Underwood
cs.ROcs.AIcs.CVarXiv:1610.03677v22016
Learning to Invert: Signal Recovery via Deep Convolutional Networks
Ali Mousavi, Richard G. Baraniuk
stat.MLcs.AIcs.ITarXiv:1701.03891v12017
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang, Anyi Rao, Maneesh Agrawala
cs.CVcs.AIcs.GRarXiv:2302.05543v32023
PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison
Randal S. Olson, William La Cava, Patryk Orzechowski +2
cs.LGcs.AIarXiv:1703.00512v12017
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis
Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen +3
cs.CVcs.AIcs.LGarXiv:2208.13753v22022
Specializing Smaller Language Models towards Multi-Step Reasoning
Yao Fu, Hao Peng, Litu Ou +2
cs.CLcs.AIcs.LGarXiv:2301.12726v12023
Multiple Instance Learning: A Survey of Problem Characteristics and Applications
Marc-André Carbonneau, Veronika Cheplygina, Eric Granger +1
cs.CVcs.AIcs.IRarXiv:1612.03365v12016
UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression
Jiaqi Chen, Tong Li, Jinghui Qin +4
cs.AIcs.LGarXiv:2212.02746v12022
Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification
Haowei Zhu, Wenjing Ke, Dong Li +3
cs.CVcs.AIcs.LGarXiv:2205.02151v12022
DeepMind Lab
Charles Beattie, Joel Z. Leibo, Denis Teplyashin +18
cs.AIarXiv:1612.03801v22016
Building Machines That Learn and Think Like People
Brenden M. Lake, Tomer D. Ullman, Joshua B. Tenenbaum +1
cs.AIcs.CVcs.LGarXiv:1604.00289v32016
DRAMA: Joint Risk Localization and Captioning in Driving
Srikanth Malla, Chiho Choi, Isht Dwivedi +2
cs.CVcs.AIcs.LGarXiv:2209.10767v22022
Generating Natural Questions About an Image
Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin +3
cs.CLcs.AIcs.CVarXiv:1603.06059v32016
Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks
Ji Young Lee, Franck Dernoncourt
cs.CLcs.AIcs.LGarXiv:1603.03827v12016
Invertible Conditional GANs for image editing
Guim Perarnau, Joost van de Weijer, Bogdan Raducanu +1
cs.CVcs.AIarXiv:1611.06355v12016
Neural Architecture Search with Reinforcement Learning
Barret Zoph, Quoc V. Le
cs.LGcs.AIcs.NEarXiv:1611.01578v22016
Learning to Perform Physics Experiments via Deep Reinforcement Learning
Misha Denil, Pulkit Agrawal, Tejas D Kulkarni +3
stat.MLcs.AIcs.CVarXiv:1611.01843v32016
Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks
Chunjie Luo, Jianfeng Zhan, Lei Wang +1
cs.LGcs.AIstat.MLarXiv:1702.05870v52017
Measurably Stronger Explanation Reliability via Model Canonization
Franz Motzkus, Leander Weber, Sebastian Lapuschkin
cs.LGcs.AIarXiv:2202.06621v12022
Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation
Antyanta Bangunharcana, Jae Won Cho, Seokju Lee +3
cs.CVcs.AIcs.LGarXiv:2108.05773v12021

Artificial Intelligence

Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning

GuessWhat?! Visual object discovery through multi-modal dialogue

Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme

A parallel corpus of Python functions and documentation strings for automated code documentation and code generation

Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video

SweetTok: Semantic-Aware Spatial-Temporal Tokenizer for Compact Video Discretization

AutoGLM: Autonomous Foundation Agents for GUIs

Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory

RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning

Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

ToolACE: Winning the Points of LLM Function Calling

From Copilot to Pilot: Towards AI Supported Software Development

Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning

A Review on Deep Learning Techniques Applied to Semantic Segmentation

MAUVE Scores for Generative Models: Theory and Practice

T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects

Deep Learning for Sensor-based Activity Recognition: A Survey

"We'll Fix It Later": Education, AI, and the Deferral of Privacy in EdTech

Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders

SampleRNN: An Unconditional End-to-End Neural Audio Generation Model

CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning

Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing

SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours

Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations

An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

Collaborative vehicle routing: a survey

Ontology based Scene Creation for the Development of Automated Vehicles

Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation

AGIQA-3K: An Open Database for AI-Generated Image Quality Assessment

DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning

The LAMBADA dataset: Word prediction requiring a broad discourse context

Can ChatGPT Reproduce Human-Generated Labels? A Study of Social Computing Tasks

Can GPT-3 Perform Statutory Reasoning?

A Differentiable Physics Engine for Deep Learning in Robotics

Thinking Fast and Slow in Large Language Models

OpenAI Gym

GenRec: Large Language Model for Generative Recommendation

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

Toward Controlled Generation of Text

Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning

Deep Fruit Detection in Orchards

Learning to Invert: Signal Recovery via Deep Convolutional Networks

Adding Conditional Control to Text-to-Image Diffusion Models

PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison

Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis

Specializing Smaller Language Models towards Multi-Step Reasoning

Multiple Instance Learning: A Survey of Problem Characteristics and Applications

UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression

Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification

DeepMind Lab

Building Machines That Learn and Think Like People

DRAMA: Joint Risk Localization and Captioning in Driving

Generating Natural Questions About an Image

Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks

Invertible Conditional GANs for image editing

Neural Architecture Search with Reinforcement Learning

Learning to Perform Physics Experiments via Deep Reinforcement Learning

Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks

Measurably Stronger Explanation Reliability via Model Canonization

Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation