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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10,381 to 10,440 of 15,342

Homo-RAG: Homology-Guided Retrieval-Augmented Generation for Cross-Species Gene Function Prediction
Azrin Sultana
cs.NEcs.AIarXiv:2608.25466v12026
AmbigQA: Answering Ambiguous Open-domain Questions
Sewon Min, Julian Michael, Hannaneh Hajishirzi +1
cs.CLcs.AIarXiv:2004.10645v22020
Sensitivity and Generalization in Neural Networks: an Empirical Study
Roman Novak, Yasaman Bahri, Daniel A. Abolafia +2
stat.MLcs.AIcs.LGarXiv:1802.08760v32018
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
Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives
Chen Gao, Xiaochong Lan, Nian Li +5
cs.AIcs.CLcs.CYarXiv:2312.11970v12023
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting
Kun Yi, Qi Zhang, Wei Fan +7
cs.LGcs.AIarXiv:2311.06184v12023
TinyStories: How Small Can Language Models Be and Still Speak Coherent English?
Ronen Eldan, Yuanzhi Li
cs.CLcs.AIcs.LGarXiv:2305.07759v22023
CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens
Zhihao Du, Qian Chen, Shiliang Zhang +9
cs.SDcs.AIeess.ASarXiv:2407.05407v22024
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
Nathaniel Li, Alexander Pan, Anjali Gopal +54
cs.LGcs.AIcs.CLarXiv:2403.03218v72024
Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks
Xiaoyuan Liang, Xunsheng Du, Guiling Wang +1
cs.LGcs.AIstat.MLarXiv:1803.11115v12018
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman +3
cs.ROcs.AIcs.CVarXiv:2210.00030v22022
MonoScene: Monocular 3D Semantic Scene Completion
Anh-Quan Cao, Raoul de Charette
cs.CVcs.AIcs.ROarXiv:2112.00726v22021
FedALA: Adaptive Local Aggregation for Personalized Federated Learning
Jianqing Zhang, Yang Hua, Hao Wang +4
cs.LGcs.AIarXiv:2212.01197v42022
Knowledge Graph Contrastive Learning for Recommendation
Yuhao Yang, Chao Huang, Lianghao Xia +1
cs.IRcs.AIarXiv:2205.00976v22022
Neighborhood Attention Transformer
Ali Hassani, Steven Walton, Jiachen Li +2
cs.CVcs.AIcs.LGarXiv:2204.07143v52022
Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark
Alexander Lavin, Subutai Ahmad
cs.AIcs.LGarXiv:1510.03336v42015
InstantID: Zero-shot Identity-Preserving Generation in Seconds
Qixun Wang, Xu Bai, Haofan Wang +5
cs.CVcs.AIarXiv:2401.07519v22024
Automatic Generation of Programming Exercises and Code Explanations using Large Language Models
Sami Sarsa, Paul Denny, Arto Hellas +1
cs.SEcs.AIcs.CLarXiv:2206.11861v22022
Deep Neural Networks for Bot Detection
Sneha Kudugunta, Emilio Ferrara
cs.AIcs.SIarXiv:1802.04289v22018
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning
Lifu Huang, Ronan Le Bras, Chandra Bhagavatula +1
cs.CLcs.AIarXiv:1909.00277v22019
Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
Yu Guan, Thomas Ploetz
cs.LGcs.AIcs.CVarXiv:1703.09370v12017
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise
Kuang-Huei Lee, Xiaodong He, Lei Zhang +1
cs.CVcs.AIcs.LGarXiv:1711.07131v22017
Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning
Ruiqi Zhang, Licong Lin, Yu Bai +1
cs.LGcs.AIcs.CLarXiv:2404.05868v22024
Planning to Explore via Self-Supervised World Models
Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis +3
cs.LGcs.AIcs.CVarXiv:2005.05960v22020
Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond
Dimitrios Kollias, Panagiotis Tzirakis, Mihalis A. Nicolaou +5
cs.CVcs.AIcs.HCarXiv:1804.10938v52018
Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks
Araz Taeihagh, Hazel Si Min Lim
cs.CYcs.AIcs.CRarXiv:1807.05720v12018
Understanding Robustness of Transformers for Image Classification
Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner +3
cs.CVcs.AIcs.LGarXiv:2103.14586v22021
Graph Learning: A Survey
Feng Xia, Ke Sun, Shuo Yu +4
cs.LGcs.AIcs.SIarXiv:2105.00696v12021
Push and Pull Search for Solving Constrained Multi-objective Optimization Problems
Zhun Fan, Wenji Li, Xinye Cai +5
cs.NEcs.AIarXiv:1709.05915v12017
Correlation Alignment for Unsupervised Domain Adaptation
Baochen Sun, Jiashi Feng, Kate Saenko
cs.CVcs.AIcs.NEarXiv:1612.01939v12016
Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education
Ramteja Sajja, Yusuf Sermet, Muhammed Cikmaz +2
cs.AIcs.HCcs.IRarXiv:2309.10892v12023
Hydra: Phase-Aware Workload Characterization of LLM Inference across Edge SoC Generations, Backends, and Quantization Levels
Amir Taherin, Sana Taghipour Anvari, Charles Amante +9
cs.ARcs.AIcs.DCarXiv:2608.25053v12026
Cognitive Internet of Things: A New Paradigm beyond Connection
Qihui Wu, Guoru Ding, Yuhua Xu +4
cs.AIarXiv:1403.2498v12014
Understanding Dimensional Collapse in Contrastive Self-supervised Learning
Li Jing, Pascal Vincent, Yann LeCun +1
cs.CVcs.AIcs.LGarXiv:2110.09348v32021
SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning
Xiaojun Xu, Chang Liu, Dawn Song
cs.CLcs.AIcs.DBarXiv:1711.04436v12017
Characterizing Concept Drift
Geoffrey I. Webb, Roy Hyde, Hong Cao +2
cs.LGcs.AIarXiv:1511.03816v62015
Combining Self-Embedding Audio Watermarking with Ultra-Low-Bitrate Neural Codecs
Yigitcan Özer, Xin Wang, Zhe Zhang +1
cs.SDcs.AIarXiv:2608.25289v12026
FearNet: Brain-Inspired Model for Incremental Learning
Ronald Kemker, Christopher Kanan
cs.LGcs.AIcs.CVarXiv:1711.10563v22017
GeoChat: Grounded Large Vision-Language Model for Remote Sensing
Kartik Kuckreja, Muhammad Sohail Danish, Muzammal Naseer +3
cs.CVcs.AIarXiv:2311.15826v12023
How Much Can CLIP Benefit Vision-and-Language Tasks?
Sheng Shen, Liunian Harold Li, Hao Tan +5
cs.CVcs.AIcs.CLarXiv:2107.06383v12021
SOSA: A Lightweight Ontology for Sensors, Observations, Samples, and Actuators
Krzysztof Janowicz, Armin Haller, Simon J D Cox +2
cs.AIarXiv:1805.09979v22018
Security and Privacy Challenges of Large Language Models: A Survey
Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
cs.CLcs.AIcs.CRarXiv:2402.00888v22024
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
Denis Yarats, Amy Zhang, Ilya Kostrikov +3
cs.LGcs.AIcs.ROarXiv:1910.01741v32019
Cross-lingual Entity Alignment via Joint Attribute-Preserving Embedding
Zequn Sun, Wei Hu, Chengkai Li
cs.CLcs.AIcs.DBarXiv:1708.05045v22017
The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"
Lukas Berglund, Meg Tong, Max Kaufmann +4
cs.CLcs.AIcs.LGarXiv:2309.12288v42023
A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation
Azal Ahmad Khan, Omkar Chaudhari, Rohitash Chandra
cs.LGcs.AIstat.MLarXiv:2304.02858v32023
Data Citation for Large Language Models: A Challenge
Gianmaria Silvello
cs.IRcs.AIcs.DBarXiv:2608.25663v12026
Multimodal Motion Prediction with Stacked Transformers
Yicheng Liu, Jinghuai Zhang, Liangji Fang +2
cs.CVcs.AIarXiv:2103.11624v22021
Evaluating Text-to-Visual Generation with Image-to-Text Generation
Zhiqiu Lin, Deepak Pathak, Baiqi Li +5
cs.CVcs.AIcs.CLarXiv:2404.01291v22024
Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task
Kenneth Li, Aspen K. Hopkins, David Bau +3
cs.LGcs.AIcs.CLarXiv:2210.13382v52022
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency
Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis +1
cs.LGcs.AIarXiv:2206.08496v32022
NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets
Gabriel Mittag, Babak Naderi, Assmaa Chehadi +1
eess.AScs.AIcs.LGarXiv:2104.09494v12021
Towards Explainable Artificial Intelligence
Wojciech Samek, Klaus-Robert Müller
cs.AIcs.LGcs.NEarXiv:1909.12072v12019
The Curse of Recursion: Training on Generated Data Makes Models Forget
Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao +3
cs.LGcs.AIcs.CLarXiv:2305.17493v32023
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning
Bill Yuchen Lin, Xinyue Chen, Jamin Chen +1
cs.CLcs.AIarXiv:1909.02151v12019
Large Language Models are Few-Shot Clinical Information Extractors
Monica Agrawal, Stefan Hegselmann, Hunter Lang +2
cs.CLcs.AIarXiv:2205.12689v22022
Long Text Generation via Adversarial Training with Leaked Information
Jiaxian Guo, Sidi Lu, Han Cai +3
cs.CLcs.AIcs.LGarXiv:1709.08624v22017
ECO: Efficient Convolutional Network for Online Video Understanding
Mohammadreza Zolfaghari, Kamaljeet Singh, Thomas Brox
cs.CVcs.AIcs.IRarXiv:1804.09066v22018
DepGraph: Towards Any Structural Pruning
Gongfan Fang, Xinyin Ma, Mingli Song +2
cs.AIcs.CVarXiv:2301.12900v22023
Safe Exploration in Continuous Action Spaces
Gal Dalal, Krishnamurthy Dvijotham, Matej Vecerik +3
cs.AIarXiv:1801.08757v12018

Artificial Intelligence

Homo-RAG: Homology-Guided Retrieval-Augmented Generation for Cross-Species Gene Function Prediction

AmbigQA: Answering Ambiguous Open-domain Questions

Sensitivity and Generalization in Neural Networks: an Empirical Study

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

Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting

TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens

The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning

Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks

VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training

MonoScene: Monocular 3D Semantic Scene Completion

FedALA: Adaptive Local Aggregation for Personalized Federated Learning

Knowledge Graph Contrastive Learning for Recommendation

Neighborhood Attention Transformer

Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark

InstantID: Zero-shot Identity-Preserving Generation in Seconds

Automatic Generation of Programming Exercises and Code Explanations using Large Language Models

Deep Neural Networks for Bot Detection

Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning

Ensembles of Deep LSTM Learners for Activity Recognition using Wearables

CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise

Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning

Planning to Explore via Self-Supervised World Models

Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond

Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks

Understanding Robustness of Transformers for Image Classification

Graph Learning: A Survey

Push and Pull Search for Solving Constrained Multi-objective Optimization Problems

Correlation Alignment for Unsupervised Domain Adaptation

Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education

Hydra: Phase-Aware Workload Characterization of LLM Inference across Edge SoC Generations, Backends, and Quantization Levels

Cognitive Internet of Things: A New Paradigm beyond Connection

Understanding Dimensional Collapse in Contrastive Self-supervised Learning

SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning

Characterizing Concept Drift

Combining Self-Embedding Audio Watermarking with Ultra-Low-Bitrate Neural Codecs

FearNet: Brain-Inspired Model for Incremental Learning

GeoChat: Grounded Large Vision-Language Model for Remote Sensing

How Much Can CLIP Benefit Vision-and-Language Tasks?

SOSA: A Lightweight Ontology for Sensors, Observations, Samples, and Actuators

Security and Privacy Challenges of Large Language Models: A Survey

Improving Sample Efficiency in Model-Free Reinforcement Learning from Images

Cross-lingual Entity Alignment via Joint Attribute-Preserving Embedding

The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"

A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation

Data Citation for Large Language Models: A Challenge

Multimodal Motion Prediction with Stacked Transformers

Evaluating Text-to-Visual Generation with Image-to-Text Generation

Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task

Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency

NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

Towards Explainable Artificial Intelligence

The Curse of Recursion: Training on Generated Data Makes Models Forget

KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning

Large Language Models are Few-Shot Clinical Information Extractors

Long Text Generation via Adversarial Training with Leaked Information

ECO: Efficient Convolutional Network for Online Video Understanding

DepGraph: Towards Any Structural Pruning

Safe Exploration in Continuous Action Spaces