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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1,741 to 1,800 of 15,209

Truthful AI: Developing and governing AI that does not lie
Owain Evans, Owen Cotton-Barratt, Lukas Finnveden +5
cs.CYcs.AIcs.CLarXiv:2110.06674v12021
LLM Multi-Agent Systems: Challenges and Open Problems
Shanshan Han, Qifan Zhang, Weizhao Jin +1
cs.MAcs.AIarXiv:2402.03578v32024
Ovis: Structural Embedding Alignment for Multimodal Large Language Model
Shiyin Lu, Yang Li, Qing-Guo Chen +4
cs.CVcs.AIcs.CLarXiv:2405.20797v22024
M$^3$CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought
Qiguang Chen, Libo Qin, Jin Zhang +3
cs.CVcs.AIcs.CLarXiv:2405.16473v12024
Show-Harness: Just a VLM Agent Can Play Robots
Yanzhe Chen, Zechen Bai, Zhijun Cao +7
cs.ROcs.AIcs.CVarXiv:2609.10522v12026
Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert
Jiadong Wang, Xinyuan Qian, Malu Zhang +2
cs.CVcs.AIeess.IVarXiv:2303.17480v12023
X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages
Feilong Chen, Minglun Han, Haozhi Zhao +4
cs.CLcs.AIcs.CVarXiv:2305.04160v32023
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
Mengzhao Chen, Wenqi Shao, Peng Xu +4
cs.LGcs.AIcs.CLarXiv:2407.11062v32024
The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers
Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber
cs.LGcs.AIcs.NEarXiv:2108.12284v42021
RESCUE-BENCH: Towards Relation-Aware Multi-Party Emotional Support Conversation Systems
Haichuan Hu, Yang Xiao, Mingni Tang +7
cs.AIarXiv:2609.09657v12026
HEAR: Holistic Evaluation of Audio Representations
Joseph Turian, Jordie Shier, Humair Raj Khan +20
cs.SDcs.AIcs.LGarXiv:2203.03022v32022
AgenticGen: Reward-Guided Agentic Video Generation for Advertising
Xingyuan Bu, Chengru Song, Hao Zhou +9
cs.CVcs.AIcs.CLarXiv:2609.09187v12026
Scores Alone Do Not Prove Discovery: The Discovery Certification Protocol for Auditing AI Research Agents
Jingjie Ning, Shanshan Zhong, Xiaochuan Li +1
cs.MAcs.AIcs.SEarXiv:2609.09219v12026
Scalable Recommendation with Poisson Factorization
Prem Gopalan, Jake M. Hofman, David M. Blei
cs.IRcs.AIcs.LGarXiv:1311.1704v32013
Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capabilities
Kazuki Fujii, Taishi Nakamura, Mengsay Loem +7
cs.CLcs.AIarXiv:2404.17790v12024
Breaking the Limits of Message Passing Graph Neural Networks
Muhammet Balcilar, Pierre Héroux, Benoit Gaüzère +3
cs.LGcs.AIarXiv:2106.04319v12021
Nonparametric Bayesian sparse factor models with application to gene expression modeling
David Knowles, Zoubin Ghahramani
stat.APcs.AIstat.MLarXiv:1011.6293v22010
Efficient One-Pass End-to-End Entity Linking for Questions
Belinda Z. Li, Sewon Min, Srinivasan Iyer +2
cs.CLcs.AIarXiv:2010.02413v12020
Quantum Data Encoding: A Comparative Analysis of Classical-to-Quantum Mapping Techniques and Their Impact on Machine Learning Accuracy
Minati Rath, Hema Date
quant-phcs.AIarXiv:2311.10375v12023
Beyond One-Step-Ahead Forecasting: Evaluation of Alternative Multi-Step-Ahead Forecasting Models for Crude Oil Prices
Tao Xiong, Yukun Bao, Zhongyi Hu
cs.LGcs.AIarXiv:1401.1560v12014
Pedestrian Attribute Recognition: A Survey
Xiao Wang, Shaofei Zheng, Rui Yang +4
cs.CVcs.AIcs.LGarXiv:1901.07474v22019
CONet: A Cognitive Ocean Network
Huimin Lu, Dong Wang, Yujie Li +5
cs.CYcs.AIarXiv:1901.06253v12019
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey
Samuel Henrique Silva, Peyman Najafirad
cs.LGcs.AIstat.MLarXiv:2007.00753v22020
Rotating without Seeing: Towards In-hand Dexterity through Touch
Zhao-Heng Yin, Binghao Huang, Yuzhe Qin +2
cs.ROcs.AIcs.LGarXiv:2303.10880v42023
A comprehensive review of Binary Neural Network
Chunyu Yuan, Sos S. Agaian
cs.NEcs.AIcs.CVarXiv:2110.06804v42021
Physics of Language Models: Part 3.2, Knowledge Manipulation
Zeyuan Allen-Zhu, Yuanzhi Li
cs.CLcs.AIcs.LGarXiv:2309.14402v22023
Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles
Can Cui, Yunsheng Ma, Xu Cao +2
cs.HCcs.AIcs.ROarXiv:2310.08034v12023
OpenAgents: An Open Platform for Language Agents in the Wild
Tianbao Xie, Fan Zhou, Zhoujun Cheng +13
cs.CLcs.AIarXiv:2310.10634v12023
To Believe or Not to Believe Your LLM
Yasin Abbasi Yadkori, Ilja Kuzborskij, András György +1
cs.LGcs.AIcs.CLarXiv:2406.02543v22024
GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation
Zahra Zamanzadeh Darban, Mohammad Hadi Valipour
cs.IRcs.AIcs.LGarXiv:2111.11293v22021
Novel Methods for Catheter and Guidewire Segmentation in X-ray Fluoroscopy under a Federated Learning Setting
Chayun Kongtongvattana
cs.CVcs.AIarXiv:2609.06876v12026
Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems
Yingqian Min, Zhipeng Chen, Jinhao Jiang +11
cs.AIcs.CLarXiv:2412.09413v22024
Engaging Image Captioning Via Personality
Kurt Shuster, Samuel Humeau, Hexiang Hu +2
cs.CVcs.AIcs.CLarXiv:1810.10665v22018
AgentDrift: A Step-Labeled Benchmark of Injection-Hijacked LLM Agent Trajectories
Asif Pinjari, Mithun Paul Saint-Germain
cs.CRcs.AIcs.LGarXiv:2609.06972v12026
Federated learning with class imbalance reduction
Miao Yang, Akitanoshou Wong, Hongbin Zhu +2
cs.LGcs.AIcs.DCarXiv:2011.11266v12020
Steering Interference Reflects the Model's Defaults, Not the Behavior Directions
Srikanth Malla, Chiho Choi, Joon Hee Choi
cs.LGcs.AIarXiv:2609.06951v12026
The Geometry of Refusal: Why Post-Hoc Safety Is Fragile and Pretraining-Time Safety Persists
Srikanth Malla, Chiho Choi, Joon Hee Choi
cs.LGcs.AIarXiv:2609.06934v12026
Learning to Infer and Execute 3D Shape Programs
Yonglong Tian, Andrew Luo, Xingyuan Sun +4
cs.CVcs.AIcs.GRarXiv:1901.02875v32019
Emo-DVS: A Multimodal Benchmark for Privacy-Aware Emotion Recognition with Event Cameras
Jiaqi Chen, Qinfu Xu, Hao Zhuang +1
cs.CVcs.AIarXiv:2609.06928v12026
Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness
Jiuhai Chen, Jonas Mueller
cs.CLcs.AIarXiv:2308.16175v22023
Constrained Online Learning with Noisy Constraint Values
Vaneet Aggarwal
cs.LGcs.AImath.OCarXiv:2609.06921v12026
From Synthetic Priors to Model Behavior: Structural Coverage in Tabular Foundation Models
He Zhao, Ryan Thompson, Daniel M. Steinberg +3
cs.LGcs.AIarXiv:2609.06912v12026
Human-agent discovery of reconfigurable in-plane ferroelectric superdomain control
Yu Liu, Boris Slautin, Ching-Che Lin +3
cond-mat.mtrl-scics.AIarXiv:2609.06887v12026
Noisy-Space Policy Gradient for Diffusion Policies in Offline Reinforcement Learning
Mahmoud Selim, Cristina Cipriani, Karl H. Johansson
cs.LGcs.AIcs.ROarXiv:2609.06882v12026
Personalized Language Modeling from Personalized Human Feedback
Xinyu Li, Ruiyang Zhou, Zachary C. Lipton +1
cs.CLcs.AIcs.LGarXiv:2402.05133v32024
Distilling System 2 into System 1
Ping Yu, Jing Xu, Jason Weston +1
cs.CLcs.AIarXiv:2407.06023v32024
AutoLexSteer: Automatic Contrast Construction for Lexical Activation Steering
Shuhe Wang, Lachlan Cowley, Eduard Hovy +1
cs.CLcs.AIarXiv:2609.06879v12026
Towards Explainable NLP: A Generative Explanation Framework for Text Classification
Hui Liu, Qingyu Yin, William Yang Wang
cs.CLcs.AIcs.LGarXiv:1811.00196v22018
Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves
Yihe Deng, Weitong Zhang, Zixiang Chen +1
cs.CLcs.AIcs.LGarXiv:2311.04205v22023
LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain
Nicholas Pipitone, Ghita Houir Alami
cs.AIarXiv:2408.10343v12024
Hierarchical interpretations for neural network predictions
Chandan Singh, W. James Murdoch, Bin Yu
cs.LGcs.AIcs.CLarXiv:1806.05337v22018
Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding
Yang Li, Si Si, Gang Li +2
cs.LGcs.AIcs.CVarXiv:2106.02795v32021
Deep Imitative Models for Flexible Inference, Planning, and Control
Nicholas Rhinehart, Rowan McAllister, Sergey Levine
cs.LGcs.AIcs.CVarXiv:1810.06544v42018
Distribution-Aware Sampling and Weighted Model Counting for SAT
Supratik Chakraborty, Daniel J. Fremont, Kuldeep S. Meel +2
cs.AIcs.DSarXiv:1404.2984v12014
On Learning Invariant Representation for Domain Adaptation
Han Zhao, Remi Tachet des Combes, Kun Zhang +1
cs.LGcs.AIstat.MLarXiv:1901.09453v22019
The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT
Nicholas Heller, Fabian Isensee, Dasha Trofimova +42
cs.CVcs.AIcs.LGarXiv:2307.01984v12023
TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network
Xiaomin Li, Vangelis Metsis, Huangyingrui Wang +1
cs.LGcs.AIarXiv:2202.02691v22022
EIA: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage
Zeyi Liao, Lingbo Mo, Chejian Xu +6
cs.CRcs.AIcs.CLarXiv:2409.11295v52024
GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation
An Yan, Zhengyuan Yang, Wanrong Zhu +9
cs.CVcs.AIarXiv:2311.07562v12023
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning
Haoran He, Chenjia Bai, Kang Xu +5
cs.LGcs.AIarXiv:2305.18459v22023

Artificial Intelligence

Truthful AI: Developing and governing AI that does not lie

LLM Multi-Agent Systems: Challenges and Open Problems

Ovis: Structural Embedding Alignment for Multimodal Large Language Model

M$^3$CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought

Show-Harness: Just a VLM Agent Can Play Robots

Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert

X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages

EfficientQAT: Efficient Quantization-Aware Training for Large Language Models

The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers

RESCUE-BENCH: Towards Relation-Aware Multi-Party Emotional Support Conversation Systems

HEAR: Holistic Evaluation of Audio Representations

AgenticGen: Reward-Guided Agentic Video Generation for Advertising

Scores Alone Do Not Prove Discovery: The Discovery Certification Protocol for Auditing AI Research Agents

Scalable Recommendation with Poisson Factorization

Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capabilities

Breaking the Limits of Message Passing Graph Neural Networks

Nonparametric Bayesian sparse factor models with application to gene expression modeling

Efficient One-Pass End-to-End Entity Linking for Questions

Quantum Data Encoding: A Comparative Analysis of Classical-to-Quantum Mapping Techniques and Their Impact on Machine Learning Accuracy

Beyond One-Step-Ahead Forecasting: Evaluation of Alternative Multi-Step-Ahead Forecasting Models for Crude Oil Prices

Pedestrian Attribute Recognition: A Survey

CONet: A Cognitive Ocean Network

Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey

Rotating without Seeing: Towards In-hand Dexterity through Touch

A comprehensive review of Binary Neural Network

Physics of Language Models: Part 3.2, Knowledge Manipulation

Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles

OpenAgents: An Open Platform for Language Agents in the Wild

To Believe or Not to Believe Your LLM

GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation

Novel Methods for Catheter and Guidewire Segmentation in X-ray Fluoroscopy under a Federated Learning Setting

Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems

Engaging Image Captioning Via Personality

AgentDrift: A Step-Labeled Benchmark of Injection-Hijacked LLM Agent Trajectories

Federated learning with class imbalance reduction

Steering Interference Reflects the Model's Defaults, Not the Behavior Directions

The Geometry of Refusal: Why Post-Hoc Safety Is Fragile and Pretraining-Time Safety Persists

Learning to Infer and Execute 3D Shape Programs

Emo-DVS: A Multimodal Benchmark for Privacy-Aware Emotion Recognition with Event Cameras

Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness

Constrained Online Learning with Noisy Constraint Values

From Synthetic Priors to Model Behavior: Structural Coverage in Tabular Foundation Models

Human-agent discovery of reconfigurable in-plane ferroelectric superdomain control

Noisy-Space Policy Gradient for Diffusion Policies in Offline Reinforcement Learning

Personalized Language Modeling from Personalized Human Feedback

Distilling System 2 into System 1

AutoLexSteer: Automatic Contrast Construction for Lexical Activation Steering

Towards Explainable NLP: A Generative Explanation Framework for Text Classification

Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves

LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain

Hierarchical interpretations for neural network predictions

Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding

Deep Imitative Models for Flexible Inference, Planning, and Control

Distribution-Aware Sampling and Weighted Model Counting for SAT

On Learning Invariant Representation for Domain Adaptation

The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT

TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network

EIA: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage

GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation

Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning