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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8,281 to 8,340 of 15,448

Off-policy evaluation for slate recommendation
Adith Swaminathan, Akshay Krishnamurthy, Alekh Agarwal +4
cs.LGcs.AIstat.MLarXiv:1605.04812v32016
Recipes for Safety in Open-domain Chatbots
Jing Xu, Da Ju, Margaret Li +3
cs.CLcs.AIarXiv:2010.07079v32020
VAIN: Attentional Multi-agent Predictive Modeling
Yedid Hoshen
cs.LGcs.AIarXiv:1706.06122v22017
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha
cs.NEcs.AIcs.CVarXiv:1711.02017v32017
Spherical Transformer for LiDAR-based 3D Recognition
Xin Lai, Yukang Chen, Fanbin Lu +2
cs.CVcs.AIarXiv:2303.12766v12023
HyperTree Proof Search for Neural Theorem Proving
Guillaume Lample, Marie-Anne Lachaux, Thibaut Lavril +5
cs.CLcs.AIarXiv:2205.11491v12022
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption
Dara Bahri, Heinrich Jiang, Yi Tay +1
cs.LGcs.AIarXiv:2106.15147v22021
Does Synthetic Data Generation of LLMs Help Clinical Text Mining?
Ruixiang Tang, Xiaotian Han, Xiaoqian Jiang +1
cs.CLcs.AIcs.LGarXiv:2303.04360v22023
Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches
Sarfaraz Hussein, Pujan Kandel, Candice W. Bolan +2
cs.CVcs.AIcs.LGarXiv:1801.03230v32018
Leveraging Knowledge Bases in LSTMs for Improving Machine Reading
Bishan Yang, Tom Mitchell
cs.CLcs.AIcs.LGarXiv:1902.09091v12019
Interpretable & Explorable Approximations of Black Box Models
Himabindu Lakkaraju, Ece Kamar, Rich Caruana +1
cs.AIarXiv:1707.01154v12017
Model-Based Reinforcement Learning via Meta-Policy Optimization
Ignasi Clavera, Jonas Rothfuss, John Schulman +3
cs.LGcs.AIstat.MLarXiv:1809.05214v12018
Memorizing Transformers
Yuhuai Wu, Markus N. Rabe, DeLesley Hutchins +1
cs.LGcs.AIcs.CLarXiv:2203.08913v12022
HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification
Yichen Jiang, Shikha Bordia, Zheng Zhong +3
cs.CLcs.AIarXiv:2011.03088v22020
Scaling Autoregressive Video Models
Dirk Weissenborn, Oscar Täckström, Jakob Uszkoreit
cs.CVcs.AIcs.LGarXiv:1906.02634v32019
SParC: Cross-Domain Semantic Parsing in Context
Tao Yu, Rui Zhang, Michihiro Yasunaga +16
cs.CLcs.AIarXiv:1906.02285v12019
MS$^2$L: Multi-Task Self-Supervised Learning for Skeleton Based Action Recognition
Lilang Lin, Sijie Song, Wenhan Yan +1
cs.CVcs.AIarXiv:2010.05599v22020
Sylvester Normalizing Flows for Variational Inference
Rianne van den Berg, Leonard Hasenclever, Jakub M. Tomczak +1
stat.MLcs.AIcs.LGarXiv:1803.05649v22018
S2Looking: A Satellite Side-Looking Dataset for Building Change Detection
Li Shen, Yao Lu, Hao Chen +6
cs.CVcs.AIeess.IVarXiv:2107.09244v32021
In-Context Unlearning: Language Models as Few Shot Unlearners
Martin Pawelczyk, Seth Neel, Himabindu Lakkaraju
cs.LGcs.AIcs.CRarXiv:2310.07579v42023
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding
Xiaosong Jia, Penghao Wu, Li Chen +3
cs.AIcs.CVcs.LGarXiv:2205.09753v22022
LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations
Hadas Orgad, Michael Toker, Zorik Gekhman +4
cs.CLcs.AIarXiv:2410.02707v42024
Fisher-Rao Metric, Geometry, and Complexity of Neural Networks
Tengyuan Liang, Tomaso Poggio, Alexander Rakhlin +1
cs.LGcs.AIstat.MLarXiv:1711.01530v22017
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications
Jože M. Rožanec, Inna Novalija, Patrik Zajec +17
cs.AIarXiv:2203.10794v22022
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling
Bing Luo, Wenli Xiao, Shiqiang Wang +2
cs.LGcs.AIcs.DCarXiv:2112.11256v12021
Personalized Prompt Learning for Explainable Recommendation
Lei Li, Yongfeng Zhang, Li Chen
cs.IRcs.AIcs.CLarXiv:2202.07371v22022
Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation
Daiqing Li, Aleks Kamko, Ehsan Akhgari +3
cs.CVcs.AIarXiv:2402.17245v12024
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity
Silviu-Marian Udrescu, Andrew Tan, Jiahai Feng +3
cs.LGcs.AIcs.ITarXiv:2006.10782v22020
MedDialog: Two Large-scale Medical Dialogue Datasets
Xuehai He, Shu Chen, Zeqian Ju +10
cs.LGcs.AIcs.CLarXiv:2004.03329v22020
A Survey on Efficient Inference for Large Language Models
Zixuan Zhou, Xuefei Ning, Ke Hong +12
cs.CLcs.AIarXiv:2404.14294v32024
One-Shot Generalization in Deep Generative Models
Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka +2
stat.MLcs.AIcs.LGarXiv:1603.05106v22016
A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness
Fali Wang, Zhiwei Zhang, Xianren Zhang +11
cs.CLcs.AIcs.LGarXiv:2411.03350v22024
Venture: a higher-order probabilistic programming platform with programmable inference
Vikash Mansinghka, Daniel Selsam, Yura Perov
cs.AIcs.PLstat.COarXiv:1404.0099v12014
Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning
Yuxi Xie, Anirudh Goyal, Wenyue Zheng +4
cs.AIcs.LGarXiv:2405.00451v22024
MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments
Manolis Savva, Angel X. Chang, Alexey Dosovitskiy +2
cs.LGcs.AIcs.CVarXiv:1712.03931v12017
An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification
Shiwen Shen, Simon X. Han, Denise R. Aberle +2
cs.CVcs.AIarXiv:1806.00712v12018
MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformer
Yuancheng Wang, Haoyue Zhan, Liwei Liu +7
cs.SDcs.AIcs.LGarXiv:2409.00750v32024
Unlearn What You Want to Forget: Efficient Unlearning for LLMs
Jiaao Chen, Diyi Yang
cs.CLcs.AIarXiv:2310.20150v12023
Scaling Large Language Model-based Multi-Agent Collaboration
Chen Qian, Zihao Xie, YiFei Wang +9
cs.AIcs.CLcs.MAarXiv:2406.07155v32024
InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset
Wenbin Li, Sajad Saeedi, John McCormac +6
cs.CVcs.AIcs.LGarXiv:1809.00716v12018
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
Samuel Daulton, Maximilian Balandat, Eytan Bakshy
cs.LGcs.AIstat.MLarXiv:2105.08195v22021
Unsupervised Statistical Machine Translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre
cs.CLcs.AIcs.LGarXiv:1809.01272v12018
Game-Theoretic Modeling of Driver and Vehicle Interactions for Verification and Validation of Autonomous Vehicle Control Systems
Nan Li, Dave Oyler, Mengxuan Zhang +3
cs.AIcs.GTarXiv:1608.08589v12016
A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges
Jenny T. Liang, Chenyang Yang, Brad A. Myers
cs.SEcs.AIcs.HCarXiv:2303.17125v22023
Similarity encoding for learning with dirty categorical variables
Patricio Cerda, Gaël Varoquaux, Balázs Kégl
cs.LGcs.AIstat.MLarXiv:1806.00979v12018
BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack
Yuri Kuratov, Aydar Bulatov, Petr Anokhin +4
cs.CLcs.AIarXiv:2406.10149v22024
MultiModalQA: Complex Question Answering over Text, Tables and Images
Alon Talmor, Ori Yoran, Amnon Catav +6
cs.CLcs.AIcs.LGarXiv:2104.06039v12021
Stable Audio Open
Zach Evans, Julian D. Parker, CJ Carr +3
cs.SDcs.AIeess.ASarXiv:2407.14358v22024
Comprehensive Review On Twin Support Vector Machines
M. Tanveer, T. Rajani, R. Rastogi +2
cs.LGcs.AIarXiv:2105.00336v32021
Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability
Benjamin A. Toms, Elizabeth A. Barnes, Imme Ebert-Uphoff
physics.ao-phcs.AIphysics.data-anarXiv:1912.01752v22019
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations
Yao Rong, Tobias Leemann, Thai-trang Nguyen +6
cs.AIcs.HCarXiv:2210.11584v52022
Dual Aspect Self-Attention based on Transformer for Remaining Useful Life Prediction
Zhizheng Zhang, Wen Song, Qiqiang Li
eess.SPcs.AIcs.LGarXiv:2106.15842v32021
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
Xu Huang, Jianxun Lian, Yuxuan Lei +3
cs.IRcs.AIarXiv:2308.16505v32023
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Ben Athiwaratkun, Marc Finzi, Pavel Izmailov +1
cs.LGcs.AIcs.CVarXiv:1806.05594v32018
Honeybee: Locality-enhanced Projector for Multimodal LLM
Junbum Cha, Wooyoung Kang, Jonghwan Mun +1
cs.CVcs.AIcs.CLarXiv:2312.06742v22023
Emergence of grid-like representations by training recurrent neural networks to perform spatial localization
Christopher J. Cueva, Xue-Xin Wei
q-bio.NCcs.AIcs.NEarXiv:1803.07770v12018
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
Yilun Du, Conor Durkan, Robin Strudel +6
cs.LGcs.AIcs.CVarXiv:2302.11552v62023
Direct Language Model Alignment from Online AI Feedback
Shangmin Guo, Biao Zhang, Tianlin Liu +9
cs.AIcs.CLcs.HCarXiv:2402.04792v22024
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
Hao Sha, Yao Mu, Yuxuan Jiang +7
cs.ROcs.AIcs.CLarXiv:2310.03026v32023
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot +10
cs.CVcs.AIcs.GRarXiv:2111.13152v32021

Artificial Intelligence

Off-policy evaluation for slate recommendation

Recipes for Safety in Open-domain Chatbots

VAIN: Attentional Multi-agent Predictive Modeling

NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm

Spherical Transformer for LiDAR-based 3D Recognition

HyperTree Proof Search for Neural Theorem Proving

SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches

Leveraging Knowledge Bases in LSTMs for Improving Machine Reading

Interpretable & Explorable Approximations of Black Box Models

Model-Based Reinforcement Learning via Meta-Policy Optimization

Memorizing Transformers

HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification

Scaling Autoregressive Video Models

SParC: Cross-Domain Semantic Parsing in Context

MS$^2$L: Multi-Task Self-Supervised Learning for Skeleton Based Action Recognition

Sylvester Normalizing Flows for Variational Inference

S2Looking: A Satellite Side-Looking Dataset for Building Change Detection

In-Context Unlearning: Language Models as Few Shot Unlearners

HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding

LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations

Fisher-Rao Metric, Geometry, and Complexity of Neural Networks

Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications

Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling

Personalized Prompt Learning for Explainable Recommendation

Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation

AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity

MedDialog: Two Large-scale Medical Dialogue Datasets

A Survey on Efficient Inference for Large Language Models

One-Shot Generalization in Deep Generative Models

A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Venture: a higher-order probabilistic programming platform with programmable inference

Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning

MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments

An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification

MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformer

Unlearn What You Want to Forget: Efficient Unlearning for LLMs

Scaling Large Language Model-based Multi-Agent Collaboration

InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset

Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement

Unsupervised Statistical Machine Translation

Game-Theoretic Modeling of Driver and Vehicle Interactions for Verification and Validation of Autonomous Vehicle Control Systems

A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges

Similarity encoding for learning with dirty categorical variables

BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack

MultiModalQA: Complex Question Answering over Text, Tables and Images

Stable Audio Open

Comprehensive Review On Twin Support Vector Machines

Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability

Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations

Dual Aspect Self-Attention based on Transformer for Remaining Useful Life Prediction

Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average

Honeybee: Locality-enhanced Projector for Multimodal LLM

Emergence of grid-like representations by training recurrent neural networks to perform spatial localization

Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC

Direct Language Model Alignment from Online AI Feedback

LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations