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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21,361 to 21,420 of 27,542

E-SENS: Exclusion-Sensitive Penalization for Negative-Constraint Retrieval
Yerang Kim, Jiyoon Myung, Joohyung Han
cs.IRcs.AIarXiv:2608.30130v32026
Understanding the Role of User Profile in the Personalization of Large Language Models
Bin Wu, Zhengyan Shi, Hossein A. Rahmani +2
cs.CLcs.AIcs.IRarXiv:2406.17803v12024
EduPlanner: LLM-Based Multi-Agent Systems for Customized and Intelligent Instructional Design
Xueqiao Zhang, Chao Zhang, Jianwen Sun +3
cs.AIarXiv:2504.05370v12025
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection
Sergey Levine, Peter Pastor, Alex Krizhevsky +1
cs.LGcs.AIcs.CVarXiv:1603.02199v42016
CQ4OE: A benchmark for assessing LLM-assisted ontology generation from competency questions
Jiayi Li, Ziyuan Wang, Daniel Garijo +1
cs.AIarXiv:2609.26029v12026
RelayLLM: Efficient Reasoning via Collaborative Decoding
Chengsong Huang, Tong Zheng, Langlin Huang +3
cs.CLcs.AIcs.LGarXiv:2601.05167v12026
DELE-w0.5: Inferring Action from Future Latent State for Robotic Manipulation
Fenghao Lei, Zhixiong Huang, Long Yang +5
cs.ROcs.AIcs.CVarXiv:2608.22067v32026
SSAKG 2.0: An Open-Source Package for Structural Associative Sequence Memory and Context-Based Retrieval
Przemysław Stokłosa, Janusz A. Starzyk, Paweł Raif
cs.AIarXiv:2609.01849v12026
Gaussian Grouping: Segment and Edit Anything in 3D Scenes
Mingqiao Ye, Martin Danelljan, Fisher Yu +1
cs.CVcs.AIarXiv:2312.00732v22023
E2S-Pruner: Progressive Two-Stage Evidence Fusion for Visual Token Pruning in Vision-Language Models
Taoyu Qian, Qi Wang, Daqian Shi +3
cs.CVcs.AIarXiv:2608.23253v12026
DialectSentEval 2026: Arabic Dialect Sentiment Analysis and Swapping Shared Task
Saad Ezzini, Shadi Abudalfa, Maram Alharbi +6
cs.CLcs.AIarXiv:2610.06298v12026
An Approach to Technical AGI Safety and Security
Rohin Shah, Alex Irpan, Alexander Matt Turner +27
cs.AIcs.CYcs.LGarXiv:2504.01849v12025
VLA-ZO: Fast Zeroth-Order Adaptation for Vision-Language-Action Models
Jaemin Kim, Jiahn Kim, Taesik Gong
cs.ROcs.AIarXiv:2610.06271v12026
Towards Diverse Scientific Hypothesis Search with Large Language Models
Haorui Wang, Parshin Shojaee, Kazem Meidani +7
cs.LGcs.AIarXiv:2606.10587v12026
Learning Visual Locomotion with Cross-Modal Supervision
Antonio Loquercio, Ashish Kumar, Jitendra Malik
cs.AIcs.ROarXiv:2211.03785v12022
Are Video Models Ready as Zero-Shot Reasoners? An Empirical Study with the MME-CoF Benchmark
Ziyu Guo, Xinyan Chen, Renrui Zhang +7
cs.CVcs.AIcs.CLarXiv:2510.26802v12025
Generalisation in humans and deep neural networks
Robert Geirhos, Carlos R. Medina Temme, Jonas Rauber +3
cs.CVcs.AIcs.LGarXiv:1808.08750v32018
Command A: An Enterprise-Ready Large Language Model
Team Cohere, :, Aakanksha +227
cs.CLcs.AIcs.LGarXiv:2504.00698v22025
Procedural Content Generation through Quality Diversity
Daniele Gravina, Ahmed Khalifa, Antonios Liapis +2
cs.NEcs.AIarXiv:1907.04053v12019
Does an Agent's History Tell You When Compaction Will Hurt? A Modest, Bounded Effect on the TRACE Paired-Replay Corpus
Egor Pakhomov, Erik Nijkamp
cs.AIcs.LGarXiv:2610.08722v12026
Outcome-Oriented Predictive Process Monitoring: Review and Benchmark
Irene Teinemaa, Marlon Dumas, Marcello La Rosa +1
cs.AIarXiv:1707.06766v42017
Machine learning for journal entry testing: A type-aware evaluation of anomaly detectors under a review budget
Jan Gronewald, Michel Scherer, Nijat Mehdiyev
cs.LGcs.AIarXiv:2610.06133v12026
The Illusion of Specialization: Unveiling the Domain-Invariant "Standing Committee" in Mixture-of-Experts Models
Yan Wang, Yitao Xu, Nanhan Shen +3
cs.LGcs.AIarXiv:2601.03425v22026
Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement
Yaxuan Kong, Yiyuan Yang, Yoontae Hwang +5
cs.CLcs.AIcs.LGarXiv:2503.01875v22025
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM
Nikhil Keetha, Jay Karhade, Krishna Murthy Jatavallabhula +4
cs.CVcs.AIcs.ROarXiv:2312.02126v32023
Tool Learning with Large Language Models: A Survey
Changle Qu, Sunhao Dai, Xiaochi Wei +5
cs.CLcs.AIarXiv:2405.17935v32024
Ultra-Fine Entity Typing
Eunsol Choi, Omer Levy, Yejin Choi +1
cs.CLcs.AIcs.LGarXiv:1807.04905v12018
T-LLM Compiler: Trusted LLM-based Code Optimization and Verification Framework
Zahra Fazel, Sunanda Gamage, Shayan Shirahmad Gale Bagi +5
cs.AIcs.CLcs.LGarXiv:2608.14953v12026
Vroom-Vroom at SHROOM-Visions: A Multi-Judge Committee for Detecting Hallucinated Spans in Vision-Language Outputs
Toqeer Ehsan, Nico Penttilä, Richard Schmidt +2
cs.CLcs.AIarXiv:2609.17327v12026
Resource-Efficient Pruning for Transformer via Low-Rank Importance Estimation
Peng Liu, Huibing Zeng, Yiqun Zhang +2
cs.LGcs.AIcs.ETarXiv:2608.24973v12026
Root cause analysis via difference graph discovery from linear time-series data
Anouk Ruer, Timothée Loranchet, Daria Bystrova +1
cs.AIarXiv:2608.21117v12026
Linear Latent Force Models using Gaussian Processes
Mauricio A. Álvarez, David Luengo, Neil D. Lawrence
stat.MLcs.AIarXiv:1107.2699v22011
Consistency Is Not Coherence: Orientation Search for Certified Alignments Between 4D Defence Upper Ontologies
Fabio Rovai
cs.AIcs.DBcs.LOarXiv:2608.21914v12026
Task-Embedded Control Networks for Few-Shot Imitation Learning
Stephen James, Michael Bloesch, Andrew J. Davison
cs.ROcs.AIcs.CVarXiv:1810.03237v12018
TaRA: Training-Aware Low-Rank Adaptation Initialization
Taehyeon Kim, Eunhyeok Park
cs.CLcs.AIcs.LGarXiv:2609.02639v12026
MercerFlow: Flow Matching in a Kernel-Induced Latent Space for Probabilistic Forecasting
Ilya Kuleshov, Egor Serov, Alexey Zaytsev
cs.LGcs.AIarXiv:2610.06039v12026
EvoSCM: Scientific Belief Revision Through Causal Model Evolution and Experimentation
Qing Zhao, Haowei Li, Weijian Deng +2
cs.AIarXiv:2609.01526v12026
Scaling up Masked Diffusion Models on Text
Shen Nie, Fengqi Zhu, Chao Du +5
cs.AIcs.CLcs.LGarXiv:2410.18514v32024
jina-vlm: Small Multilingual Vision Language Model
Andreas Koukounas, Georgios Mastrapas, Florian Hönicke +3
cs.CLcs.AIcs.CVarXiv:2512.04032v42025
Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech Recognition
Jaeyoung Kim, Mostafa El-Khamy, Jungwon Lee
cs.LGcs.AIcs.SDarXiv:1701.03360v32017
Revealing Algorithmic Deductive Circuits for Logical Reasoning
Phuong Minh Nguyen, Tien Huu Dang, Naoya Inoue
cs.AIcs.CLarXiv:2605.27824v12026
Surface Representation for Point Clouds
Haoxi Ran, Jun Liu, Chengjie Wang
cs.CVcs.AIcs.GRarXiv:2205.05740v22022
Towards Learning a Generalist Model for Embodied Navigation
Duo Zheng, Shijia Huang, Lin Zhao +2
cs.CVcs.AIarXiv:2312.02010v32023
Physics-Informed but Not Physics-Consistent: Error Geometry and Subspace Projection for Neural AC Power Flow
Changhun Kim, Timon Conrad, Redwanul Karim +7
cs.LGcs.AIarXiv:2610.05959v12026
SpinQuant: LLM quantization with learned rotations
Zechun Liu, Changsheng Zhao, Igor Fedorov +6
cs.LGcs.AIcs.CLarXiv:2405.16406v42024
Does Learning Protein Folding Generalize to Broader Reasoning?
Yong Liu, Zhanpeng Shi, Yizhou Dang +4
cs.LGcs.AIarXiv:2609.38879v12026
On Hyperparameter Tuning on the Test Set
Matteo Fregonara, Tom Viering, Jan van Gemert
cs.LGcs.AIcs.CVarXiv:2610.05902v12026
SteeringSafety: Benchmarking Representation Steering in LLMs Across Safety Perspectives
Vincent Siu, Nicholas Crispino, David Park +5
cs.AIcs.CLcs.LGarXiv:2509.13450v32025
Attention Pruning: Automated Fairness Repair of Language Models via Surrogate Simulated Annealing
Vishnu Asutosh Dasu, Md Rafi ur Rashid, Vipul Gupta +2
cs.AIarXiv:2503.15815v32025
ToolTweak: An Attack on Tool Selection in LLM-based Agents
Jonathan Sneh, Ruomei Yan, Jialin Yu +6
cs.CRcs.AIarXiv:2510.02554v12025
Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning
Xuetao Ma, Wenbin Jiang, Hua Huang
cs.CLcs.AIarXiv:2502.15401v22025
Socially Aware Motion Planning with Deep Reinforcement Learning
Yu Fan Chen, Michael Everett, Miao Liu +1
cs.ROcs.AIcs.HCarXiv:1703.08862v22017
DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems
Ming Ma, Jue Zhang, Fangkai Yang +4
cs.AIcs.SEarXiv:2512.06749v32025
Probabilistic FastText for Multi-Sense Word Embeddings
Ben Athiwaratkun, Andrew Gordon Wilson, Anima Anandkumar
cs.CLcs.AIcs.LGarXiv:1806.02901v12018
Level-of-Token Diffusion
Kiyohiro Nakayama, Brian Chao, Jan Ackermann +5
cs.CVcs.AIarXiv:2610.05816v12026
When Does Information Sharing Improve Decentralized Discovery? Aggregation, Independent Rescue, and Equilibrium Selection
Yohei Nakajima
cs.AIcs.GTarXiv:2609.01814v12026
WolfSociety: Understanding Collective Risk from Harmful-Agent Scaling in Financial Agent Societies
Lejun Zhang, Sarah Lu-Liang, Xin Jiang +3
physics.soc-phcs.AIcs.SIarXiv:2609.05591v12026
Beyond Black-Box Benchmarking: Observability, Analytics, and Optimization of Agentic Systems
Dany Moshkovich, Hadar Mulian, Sergey Zeltyn +3
cs.AIcs.MAarXiv:2503.06745v12025
ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles
Jiawei Zhang, Chejian Xu, Bo Li
cs.AIcs.LGarXiv:2405.14062v12024
Axiomatic properties of inconsistency indices for pairwise comparisons
Matteo Brunelli, Michele Fedrizzi
cs.AIarXiv:1306.6852v12013

Artificial Intelligence

E-SENS: Exclusion-Sensitive Penalization for Negative-Constraint Retrieval

Understanding the Role of User Profile in the Personalization of Large Language Models

EduPlanner: LLM-Based Multi-Agent Systems for Customized and Intelligent Instructional Design

Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection

CQ4OE: A benchmark for assessing LLM-assisted ontology generation from competency questions

RelayLLM: Efficient Reasoning via Collaborative Decoding

DELE-w0.5: Inferring Action from Future Latent State for Robotic Manipulation

SSAKG 2.0: An Open-Source Package for Structural Associative Sequence Memory and Context-Based Retrieval

Gaussian Grouping: Segment and Edit Anything in 3D Scenes

E2S-Pruner: Progressive Two-Stage Evidence Fusion for Visual Token Pruning in Vision-Language Models

DialectSentEval 2026: Arabic Dialect Sentiment Analysis and Swapping Shared Task

An Approach to Technical AGI Safety and Security

VLA-ZO: Fast Zeroth-Order Adaptation for Vision-Language-Action Models

Towards Diverse Scientific Hypothesis Search with Large Language Models

Learning Visual Locomotion with Cross-Modal Supervision

Are Video Models Ready as Zero-Shot Reasoners? An Empirical Study with the MME-CoF Benchmark

Generalisation in humans and deep neural networks

Command A: An Enterprise-Ready Large Language Model

Procedural Content Generation through Quality Diversity

Does an Agent's History Tell You When Compaction Will Hurt? A Modest, Bounded Effect on the TRACE Paired-Replay Corpus

Outcome-Oriented Predictive Process Monitoring: Review and Benchmark

Machine learning for journal entry testing: A type-aware evaluation of anomaly detectors under a review budget

The Illusion of Specialization: Unveiling the Domain-Invariant "Standing Committee" in Mixture-of-Experts Models

Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM

Tool Learning with Large Language Models: A Survey

Ultra-Fine Entity Typing

T-LLM Compiler: Trusted LLM-based Code Optimization and Verification Framework

Vroom-Vroom at SHROOM-Visions: A Multi-Judge Committee for Detecting Hallucinated Spans in Vision-Language Outputs

Resource-Efficient Pruning for Transformer via Low-Rank Importance Estimation

Root cause analysis via difference graph discovery from linear time-series data

Linear Latent Force Models using Gaussian Processes

Consistency Is Not Coherence: Orientation Search for Certified Alignments Between 4D Defence Upper Ontologies

Task-Embedded Control Networks for Few-Shot Imitation Learning

TaRA: Training-Aware Low-Rank Adaptation Initialization

MercerFlow: Flow Matching in a Kernel-Induced Latent Space for Probabilistic Forecasting

EvoSCM: Scientific Belief Revision Through Causal Model Evolution and Experimentation

Scaling up Masked Diffusion Models on Text

jina-vlm: Small Multilingual Vision Language Model

Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech Recognition

Revealing Algorithmic Deductive Circuits for Logical Reasoning

Surface Representation for Point Clouds

Towards Learning a Generalist Model for Embodied Navigation

Physics-Informed but Not Physics-Consistent: Error Geometry and Subspace Projection for Neural AC Power Flow

SpinQuant: LLM quantization with learned rotations

Does Learning Protein Folding Generalize to Broader Reasoning?

On Hyperparameter Tuning on the Test Set

SteeringSafety: Benchmarking Representation Steering in LLMs Across Safety Perspectives

Attention Pruning: Automated Fairness Repair of Language Models via Surrogate Simulated Annealing

ToolTweak: An Attack on Tool Selection in LLM-based Agents

Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning

Socially Aware Motion Planning with Deep Reinforcement Learning

DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems

Probabilistic FastText for Multi-Sense Word Embeddings

Level-of-Token Diffusion

When Does Information Sharing Improve Decentralized Discovery? Aggregation, Independent Rescue, and Equilibrium Selection

WolfSociety: Understanding Collective Risk from Harmful-Agent Scaling in Financial Agent Societies

Beyond Black-Box Benchmarking: Observability, Analytics, and Optimization of Agentic Systems

ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles

Axiomatic properties of inconsistency indices for pairwise comparisons