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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17,161 to 17,220 of 27,626

Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning
Sébastien Forestier, Rémy Portelas, Yoan Mollard +1
cs.AIcs.LGarXiv:1708.02190v32017
StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal
Chongjie Ye, Lingteng Qiu, Xiaodong Gu +6
cs.CVcs.AIcs.GRarXiv:2406.16864v12024
Voyager: An Open-Ended Embodied Agent with Large Language Models
Guanzhi Wang, Yuqi Xie, Yunfan Jiang +5
cs.AIcs.LGarXiv:2305.16291v22023
When Prediction Error Is Not Enough: Evaluating Nuisance-Function Prediction for Causal Estimation
Cong Cao
cs.AIcs.LGstat.MEarXiv:2609.00071v12026
Multi-Reward Reinforced Summarization with Saliency and Entailment
Ramakanth Pasunuru, Mohit Bansal
cs.CLcs.AIcs.LGarXiv:1804.06451v22018
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs
Feiyang Kang, Hoang Anh Just, Yifan Sun +5
cs.LGcs.AIcs.CLarXiv:2405.02774v12024
Distributed agency in second language learning and teaching through generative AI
Robert Godwin-Jones
cs.CYcs.AIarXiv:2403.20216v42024
From Prior-Guided Heuristics to Deployable Agents: Accelerating Demonstration-Driven Reinforcement Learning for Deadline-Constrained Network Control
Vincenzo Norman Vitale, Mohammad Solki, Antonia Maria Tulino +2
cs.NIcs.AIarXiv:2609.03590v12026
BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models
Peiyan Li, Yixiang Chen, Hongtao Wu +6
cs.ROcs.AIarXiv:2506.07961v22025
Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability
Atticus Geiger, Duligur Ibeling, Amir Zur +8
cs.AIarXiv:2301.04709v42023
Reliable Conflictive Multi-View Learning
Cai Xu, Jiajun Si, Ziyu Guan +3
cs.LGcs.AIarXiv:2402.16897v22024
Recent Advances in Imitation Learning from Observation
Faraz Torabi, Garrett Warnell, Peter Stone
cs.ROcs.AIcs.LGarXiv:1905.13566v22019
Partially Correlated Verifier Cascades in LLM Harnesses: Concave Log-Odds, Polynomial Reliability, and Blind-Spot Ceilings
Jiangang Han
math.STcs.AIcs.LGarXiv:2607.13918v12026
Creating General User Models from Computer Use
Omar Shaikh, Shardul Sapkota, Shan Rizvi +4
cs.HCcs.AIcs.CLarXiv:2505.10831v32025
A Concept-Based Explainability Framework for Large Multimodal Models
Jayneel Parekh, Pegah Khayatan, Mustafa Shukor +2
cs.LGcs.AIcs.CLarXiv:2406.08074v32024
Mutual Debiasing via Dual-Seed Comparison for Probabilistic Sampling in Large Language Models
Zihao Guo, Hongtao Lv, Chaoli Zhang +4
cs.CLcs.AIarXiv:2608.26161v12026
Titans: Learning to Memorize at Test Time
Ali Behrouz, Peilin Zhong, Vahab Mirrokni
cs.LGcs.AIcs.CLarXiv:2501.00663v12024
Memento 3: Model-Based Recursive Self-Improvement through Reflective Rulebooks
Haoyu Zhao, Zhengxu Yu, Zhiyuan He +5
cs.AIcs.CLcs.CVarXiv:2610.11794v12026
Spatio-Temporal Data Mining: A Survey of Problems and Methods
Gowtham Atluri, Anuj Karpatne, Vipin Kumar
cs.LGcs.AIcs.CVarXiv:1711.04710v22017
Policies Modulating Trajectory Generators
Atil Iscen, Ken Caluwaerts, Jie Tan +4
cs.ROcs.AIcs.LGarXiv:1910.02812v12019
SWE-Together: Evaluating Coding Agents in Interactive User Sessions
Yifan Wu, Zhuokai Zhao, Songlin Li +8
cs.SEcs.AIarXiv:2606.29957v12026
DeepTransport: Learning Spatial-Temporal Dependency for Traffic Condition Forecasting
Xingyi Cheng, Ruiqing Zhang, Jie Zhou +1
cs.AIarXiv:1709.09585v42017
Understanding the Challenges in Iterative Generative Optimization with LLMs
Allen Nie, Xavier Daull, Zhiyi Kuang +10
cs.LGcs.AIarXiv:2603.23994v22026
Where Should Optimizer State Live? Tiered State Allocation for Memory-Efficient Mixture-of-Experts Training
Nuemaan Malik
cs.LGcs.AIarXiv:2607.19058v22026
From Passive to Persuasive: Localized Activation Injection for Empathy and Negotiation
Niranjan Chebrolu, Kokil Jaidka, Gerard Christopher Yeo
cs.CLcs.AIarXiv:2511.12832v32025
The Limits of Automatic Evaluation of Creativity in Large Language Models
Alessandro Tutone, Giorgio Franceschelli, Mirco Musolesi
cs.CLcs.AIcs.CYarXiv:2608.23705v12026
ProFit: Leveraging High-Value Signals in SFT via Probability-Guided Token Selection
Tao Liu, Taiqiang Wu, Runming Yang +3
cs.CLcs.AIarXiv:2601.09195v32026
DeMMO: Longitudinal and Cross-Disease Modelling of Digital Mobility Outcomes via Multi-Task Learning
Menghui Zhou, Zhipeng Yuan, Vitaveska Lanfranchi +1
cs.LGcs.AIarXiv:2608.25073v12026
Large Language Models are Inconsistent and Biased Evaluators
Rickard Stureborg, Dimitris Alikaniotis, Yoshi Suhara
cs.CLcs.AIarXiv:2405.01724v12024
Accurate, Interdisciplinary and Transparent Structure-property Understanding with Deep Native Structural Reasoning
Chen Tang, Yizhou Wang, Jianyu Wu +26
cs.CLcs.AIcs.CEarXiv:2607.07708v12026
EgoLAP: Learning from Egocentric Human Data through Language-Action Reasoning
Lihan Zha, Shresth Grover, Tenny Yin +7
cs.ROcs.AIarXiv:2610.08726v12026
RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization
Songming Liu, Bangguo Li, Kai Ma +5
cs.ROcs.AIcs.CVarXiv:2602.03310v12026
Improved Large Language Diffusion Models
Shen Nie, Qiyang Min, Shaoxuan Xu +7
cs.CLcs.AIcs.LGarXiv:2606.25331v12026
Mastering Diverse Domains through World Models
Danijar Hafner, Jurgis Pasukonis, Jimmy Ba +1
cs.AIcs.LGstat.MLarXiv:2301.04104v22023
Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs
Ruigang Fu, Qingyong Hu, Xiaohu Dong +3
cs.CVcs.AIcs.LGarXiv:2008.02312v42020
Multi-objective Evolutionary Federated Learning
Hangyu Zhu, Yaochu Jin
cs.LGcs.AIstat.MLarXiv:1812.07478v22018
DyMD: Preserving Interaction Dynamics through Distribution Matching Distillation in Few-Step Video World Models
Haojun Xu, Jie Huang, Xin Lu +4
cs.CVcs.AIarXiv:2609.31349v12026
Evolving Creatives with Clicks: CTR-Driven Advertising image Editing via Attribute Disentanglement and Preference Alignment
Xu Zhang, Haohan Wang, Zheng Zhang +9
cs.CVcs.AIarXiv:2610.13066v12026
LoRA+: Efficient Low Rank Adaptation of Large Models
Soufiane Hayou, Nikhil Ghosh, Bin Yu
cs.LGcs.AIcs.CLarXiv:2402.12354v22024
The Imitator Game: Benchmarking Robot Imitative Ability Beyond Action Prediction
Xunzhe Zhou, Yiyang Cai, Fengyi Wang +9
cs.ROcs.AIarXiv:2608.22301v12026
When to Trust Your Model: Model-Based Policy Optimization
Michael Janner, Justin Fu, Marvin Zhang +1
cs.LGcs.AIstat.MLarXiv:1906.08253v32019
Open-World Object Manipulation using Pre-trained Vision-Language Models
Austin Stone, Ted Xiao, Yao Lu +9
cs.ROcs.AIcs.CVarXiv:2303.00905v22023
PhoneBuddy: Training Open Models for Agentic Phone Use
Zhengyang Tang, Xin Lai, Pengyuan Lyu +23
cs.CLcs.AIarXiv:2606.23049v22026
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling
Jun Zhan, Junqi Dai, Jiasheng Ye +13
cs.CLcs.AIcs.CVarXiv:2402.12226v52024
A Review of Physics-based Machine Learning in Civil Engineering
Shashank Reddy Vadyala, Sai Nethra Betgeri1, John C. Matthews +1
cs.LGcs.AIarXiv:2110.04600v22021
Soft-Label Dataset Distillation and Text Dataset Distillation
Ilia Sucholutsky, Matthias Schonlau
cs.LGcs.AIstat.MLarXiv:1910.02551v32019
SIRL: Similarity-based Implicit Representation Learning
Andreea Bobu, Yi Liu, Rohin Shah +2
cs.ROcs.AIcs.HCarXiv:2301.00810v32023
Self-Improvements in Modern Agentic Systems: A Survey
Zhe Ren, Yimeng Chen, Dandan Guo +9
cs.AIcs.CLcs.LGarXiv:2607.13104v12026
LongPIBench: A Long-Context Benchmark for Prompt Injection
Yupei Liu, Yuqi Jia, Neil Zhenqiang Gong +1
cs.CRcs.AIarXiv:2608.28411v12026
AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint
Leheng Sheng, Changshuo Shen, Weixiang Zhao +6
cs.LGcs.AIcs.CRarXiv:2506.07022v22025
ScalSelect: Scalable Training-Free Multimodal Data Selection for Efficient Visual Instruction Tuning
Changti Wu, Jiahuai Mao, Yuzhuo Miao +6
cs.CVcs.AIarXiv:2602.11636v12026
RegulaTutor: A Theory-Informed Framework for Long-Term Personalized Learning
Yonggang Li, Boqian Han, Rui Sheng +2
cs.AIarXiv:2610.13399v12026
Wav-KAN: Wavelet Kolmogorov-Arnold Networks
Zavareh Bozorgasl, Hao Chen
cs.LGcs.AIeess.SParXiv:2405.12832v22024
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter, Gabriel Kreiman, David Cox
cs.LGcs.AIcs.CVarXiv:1605.08104v52016
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning
Zihao Ye, Ruihang Lai, Junru Shao +2
cs.LGcs.AIcs.PLarXiv:2207.04606v42022
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs
Lingbing Guo, Zequn Sun, Wei Hu
cs.AIcs.CLcs.LGarXiv:1905.04914v12019
Beyond Report Imitation: Clinically Aware Multi-Image Ultrasound Report Generation from Visible Evidence
Yuchen Yang, Xin Wang, Lufan Wang +3
cs.CVcs.AIarXiv:2610.11610v12026
Chain-of-Discussion: A Multi-Model Framework for Complex Evidence-Based Question Answering
Mingxu Tao, Dongyan Zhao, Yansong Feng
cs.CLcs.AIarXiv:2402.16313v32024
Wow, wo, val! A Comprehensive Embodied World Model Evaluation Turing Test
Chun-Kai Fan, Xiaowei Chi, Xiaozhu Ju +18
cs.ROcs.AIcs.CVarXiv:2601.04137v12026
Robust Graph Learning from Noisy Data
Zhao Kang, Haiqi Pan, Steven C. H. Hoi +1
cs.CVcs.AIcs.LGarXiv:1812.06673v12018

Artificial Intelligence

Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning

StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal

Voyager: An Open-Ended Embodied Agent with Large Language Models

When Prediction Error Is Not Enough: Evaluating Nuisance-Function Prediction for Causal Estimation

Multi-Reward Reinforced Summarization with Saliency and Entailment

Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs

Distributed agency in second language learning and teaching through generative AI

From Prior-Guided Heuristics to Deployable Agents: Accelerating Demonstration-Driven Reinforcement Learning for Deadline-Constrained Network Control

BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models

Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability

Reliable Conflictive Multi-View Learning

Recent Advances in Imitation Learning from Observation

Partially Correlated Verifier Cascades in LLM Harnesses: Concave Log-Odds, Polynomial Reliability, and Blind-Spot Ceilings

Creating General User Models from Computer Use

A Concept-Based Explainability Framework for Large Multimodal Models

Mutual Debiasing via Dual-Seed Comparison for Probabilistic Sampling in Large Language Models

Titans: Learning to Memorize at Test Time

Memento 3: Model-Based Recursive Self-Improvement through Reflective Rulebooks

Spatio-Temporal Data Mining: A Survey of Problems and Methods

Policies Modulating Trajectory Generators

SWE-Together: Evaluating Coding Agents in Interactive User Sessions

DeepTransport: Learning Spatial-Temporal Dependency for Traffic Condition Forecasting

Understanding the Challenges in Iterative Generative Optimization with LLMs

Where Should Optimizer State Live? Tiered State Allocation for Memory-Efficient Mixture-of-Experts Training

From Passive to Persuasive: Localized Activation Injection for Empathy and Negotiation

The Limits of Automatic Evaluation of Creativity in Large Language Models

ProFit: Leveraging High-Value Signals in SFT via Probability-Guided Token Selection

DeMMO: Longitudinal and Cross-Disease Modelling of Digital Mobility Outcomes via Multi-Task Learning

Large Language Models are Inconsistent and Biased Evaluators

Accurate, Interdisciplinary and Transparent Structure-property Understanding with Deep Native Structural Reasoning

EgoLAP: Learning from Egocentric Human Data through Language-Action Reasoning

RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization

Improved Large Language Diffusion Models

Mastering Diverse Domains through World Models

Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs

Multi-objective Evolutionary Federated Learning

DyMD: Preserving Interaction Dynamics through Distribution Matching Distillation in Few-Step Video World Models

Evolving Creatives with Clicks: CTR-Driven Advertising image Editing via Attribute Disentanglement and Preference Alignment

LoRA+: Efficient Low Rank Adaptation of Large Models

The Imitator Game: Benchmarking Robot Imitative Ability Beyond Action Prediction

When to Trust Your Model: Model-Based Policy Optimization

Open-World Object Manipulation using Pre-trained Vision-Language Models

PhoneBuddy: Training Open Models for Agentic Phone Use

AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling

A Review of Physics-based Machine Learning in Civil Engineering

Soft-Label Dataset Distillation and Text Dataset Distillation

SIRL: Similarity-based Implicit Representation Learning

Self-Improvements in Modern Agentic Systems: A Survey

LongPIBench: A Long-Context Benchmark for Prompt Injection

AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint

ScalSelect: Scalable Training-Free Multimodal Data Selection for Efficient Visual Instruction Tuning

RegulaTutor: A Theory-Informed Framework for Long-Term Personalized Learning

Wav-KAN: Wavelet Kolmogorov-Arnold Networks

Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning

SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning

Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs

Beyond Report Imitation: Clinically Aware Multi-Image Ultrasound Report Generation from Visible Evidence

Chain-of-Discussion: A Multi-Model Framework for Complex Evidence-Based Question Answering

Wow, wo, val! A Comprehensive Embodied World Model Evaluation Turing Test

Robust Graph Learning from Noisy Data