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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10,441 to 10,500 of 15,362

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
Real-time closed-loop protocol to assess neural variability in temporal coding
Alberto Ayala, Angel Lareo, Pablo Varona +1
q-bio.NCcs.AIcs.NEarXiv:2608.24895v12026
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification
Hongrun Zhang, Yanda Meng, Yitian Zhao +4
cs.CVcs.AIcs.LGarXiv:2203.12081v12022
Asymmetric Actor Critic for Image-Based Robot Learning
Lerrel Pinto, Marcin Andrychowicz, Peter Welinder +2
cs.ROcs.AIcs.LGarXiv:1710.06542v12017
A Training-Free Proactive Defense Against Partial Speech Manipulation via Self-Embedding Steganography
Yigitcan Özer, Zhe Zhang, Wanying Ge +2
cs.SDcs.AIarXiv:2608.25285v12026
Toxicity in ChatGPT: Analyzing Persona-assigned Language Models
Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit +2
cs.CLcs.AIcs.LGarXiv:2304.05335v12023
Language Models can Solve Computer Tasks
Geunwoo Kim, Pierre Baldi, Stephen McAleer
cs.CLcs.AIcs.HCarXiv:2303.17491v32023
AI and the Everything in the Whole Wide World Benchmark
Inioluwa Deborah Raji, Emily M. Bender, Amandalynne Paullada +2
cs.LGcs.AIcs.PFarXiv:2111.15366v12021
DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision
Lu Ling, Yichen Sheng, Zhi Tu +17
cs.CVcs.AIarXiv:2312.16256v22023
Goodput Maximization for Large Language Model Edge Inference: A Two-Phase Maskable PPO Approach
Xiaojing Chen, Qi Zhang, Wei Ni +2
eess.SYcs.AIarXiv:2608.25543v12026
Revelation Control
Qinyou Wang
cs.LGcs.AIstat.MLarXiv:2608.23860v12026
Summaries:한국어
FAMPWQ: Fisher Information-based Adaptive Mixed Precision Weight Quantization for Effective LLM Inference
Gongwei Lee, Ji Liu, Juncheng Jia +1
cs.LGcs.AIcs.DCarXiv:2608.24945v12026
Summaries:한국어
Spending Scarce Confirmatory PET Measurements: Target-Aligned Validation in A4/LEARN
Eliuvish Han Cui
stat.APcs.AIcs.LGarXiv:2608.22223v12026
Right-Sizing LLM-Agent Decomposition in VAT Determination: A Pilot Controlled Sweep
Pedro Santos
cs.MAcs.AIcs.SEarXiv:2608.23395v12026
Names Can Hurt: Spotting Slopsquatting Risks Caused by Package Name Hallucinations in Local Coding LLMs
Akash Raj, Sargam Sahu
cs.CLcs.AIarXiv:2608.23897v12026
CVE-SAI: Counterfactual Visual Evidence-Guided Selective Attribute Indexing for Risk-Controlled E-commerce Search
Xiaolong Sun, Qichao Wang, Hangyu Li +1
cs.AIcs.CVarXiv:2608.25023v12026
CacheRouter: A Dual-Path Tool Routing Architecture with Cache-Preserving Main-Model Isolation for Long-Tail Tool Discovery
Donghui Zha, Lingwei Xu, Linxiao Wu +2
cs.AIarXiv:2608.22708v12026
Correcting a learned physical invariant improves world-model rollouts
Richard Bao
cs.AIarXiv:2608.23526v12026
Why Does Robustness Reduce Superposition?
Adam Elimadi
cs.LGcs.AIarXiv:2608.22155v12026
STAGE: Stateful Translation to Agentic Graph Execution with Policy-Scoped Context and Deterministic Control
Mengxi Luo, Changjia Chen, An Cao +2
cs.AIarXiv:2608.22538v12026
ExFold: Unified Expert Folding for Training-Free MoE Prefill-Decode Acceleration
Juntong Wu, Yifei Liu, Junyi Chen +6
cs.LGcs.AIarXiv:2608.24938v12026
When Does Frequency Decomposition Benefit Physics-Informed Neural Networks? A Preliminary Ablation Study
Shubham Rai
cs.LGcs.AIarXiv:2608.24940v12026
A Mathematical Theory of Interpretation: Rational Entropy, Spectral Readout, and Confusability as a Resource
Blake Reynolds
cs.ITcs.AIarXiv:2608.23892v12026
Learning to Grade Efficiently: A Bandit-Driven Prompt-Selection Framework for Low-Cost LLM Essay Scoring
Olga Manakina, Igor Bogdanov
cs.LGcs.AIcs.CLarXiv:2608.23814v12026
Discovering Cross-Language Reasoning Invariance in LLMs with Geometry-Invariant Sparse Autoencoders
Igor Bogdanov, Changcheng Huang
cs.LGcs.AIcs.CLarXiv:2608.23809v12026
What Reaches Expert Review? Representation, Structural Screening, and Candidate-Form Dependence in AI-Assisted Item Development
Christopher Brooks
cs.CLcs.AIarXiv:2608.23766v12026
Beyond Executable Models: The Pufibara Agent Harness and the Modelica Agent Workflow Benchmark for Physical System Modeling
Zizhe Wang
cs.SEcs.AIarXiv:2608.23653v12026
Feedback That Backfires: Why Small Language Model Agents Repeat the Call They Just Watched Fail
Esmail Gumaan
cs.SEcs.AIarXiv:2608.23651v12026
Retrieval-augmented generation vs. deterministic tax computation in multi-agent financial advisory: A 2x2 factorial experiment
Aryan Brar, Justin Du, Avery Lor +2
cs.AIarXiv:2608.23908v12026
Semantic Overlays: Mitigating Prompt Injection with Annotations Beyond Tokens and Steering Vectors
Joshua Penman
cs.AIcs.CLcs.CRarXiv:2608.23873v12026
SyPS: Measuring Sycophancy Prompt Sensitivity in Large Language Models
Lijia Huang, Yao Fu, Sihao Ren
cs.AIarXiv:2608.23837v12026
When Names Cross Scripts: A Source-Grounded Benchmark for Historical Entity Reconciliation in the Mongol World
Xiang Chen, Zeyu Zhang
cs.CLcs.AIarXiv:2608.23507v12026
Adversarial Entropy Inflation Against Gumbel-Based Inference Verification
Nikita Kezins
cs.CRcs.AIarXiv:2608.23375v12026
Hypergraph Embedding Indexing for Efficient Dense Vector Retrieval
Kishore Konda
cs.IRcs.AIarXiv:2608.22980v12026
Targeting the Attention Heads Behind Object Hallucination in LLaVA
Armaan Sandhu, Abhilasha Senapati, Hima Kammachi
cs.CVcs.AIarXiv:2608.24966v12026
Drift Variation Autoencoder: Unifying Generation and Representation Learning through Conditional Posterior Flow Matching
Jiarui Cao
cs.LGcs.AIarXiv:2608.25138v12026
Resource-Efficient Pruning for Transformer via Low-Rank Importance Estimation
Peng Liu, Huibing Zeng, Yiqun Zhang +2
cs.LGcs.AIcs.ETarXiv:2608.24973v12026
The Invisible Editorial Layer: Formalizing Undisclosed Inference-Time Steering, Probability Placement, and the Attribution Problem in Deployed Language Models
Augusto Camargo
cs.AIcs.CLcs.CYarXiv:2608.24662v22026
Unmatched Does Not Mean False: Incomplete Reference Sets Can Reverse Calibration Rankings in Open-Ended Theory-of-Mind Tracking
Zhexi Feng, Wuxi Chen, Bingrui Zhang
cs.CLcs.AIarXiv:2608.25654v12026
Output Dilution: Redundant but Fragile Representations in MoE Models
Orion Reblitz-Richardson
cs.LGcs.AIcs.CLarXiv:2608.25231v12026
Reading Is Not Using: Retrieval, Judgment, and the Design of AI Financial Research Workflows
Miao Liu, Zhizhe Liu
cs.CLcs.AIarXiv:2608.24842v12026

Artificial Intelligence

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

Real-time closed-loop protocol to assess neural variability in temporal coding

DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification

Asymmetric Actor Critic for Image-Based Robot Learning

A Training-Free Proactive Defense Against Partial Speech Manipulation via Self-Embedding Steganography

Toxicity in ChatGPT: Analyzing Persona-assigned Language Models

Language Models can Solve Computer Tasks

AI and the Everything in the Whole Wide World Benchmark

DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision

Goodput Maximization for Large Language Model Edge Inference: A Two-Phase Maskable PPO Approach

Revelation Control

FAMPWQ: Fisher Information-based Adaptive Mixed Precision Weight Quantization for Effective LLM Inference

Spending Scarce Confirmatory PET Measurements: Target-Aligned Validation in A4/LEARN

Right-Sizing LLM-Agent Decomposition in VAT Determination: A Pilot Controlled Sweep

Names Can Hurt: Spotting Slopsquatting Risks Caused by Package Name Hallucinations in Local Coding LLMs

CVE-SAI: Counterfactual Visual Evidence-Guided Selective Attribute Indexing for Risk-Controlled E-commerce Search

CacheRouter: A Dual-Path Tool Routing Architecture with Cache-Preserving Main-Model Isolation for Long-Tail Tool Discovery

Correcting a learned physical invariant improves world-model rollouts

Why Does Robustness Reduce Superposition?

STAGE: Stateful Translation to Agentic Graph Execution with Policy-Scoped Context and Deterministic Control

ExFold: Unified Expert Folding for Training-Free MoE Prefill-Decode Acceleration

When Does Frequency Decomposition Benefit Physics-Informed Neural Networks? A Preliminary Ablation Study

A Mathematical Theory of Interpretation: Rational Entropy, Spectral Readout, and Confusability as a Resource

Learning to Grade Efficiently: A Bandit-Driven Prompt-Selection Framework for Low-Cost LLM Essay Scoring

Discovering Cross-Language Reasoning Invariance in LLMs with Geometry-Invariant Sparse Autoencoders

What Reaches Expert Review? Representation, Structural Screening, and Candidate-Form Dependence in AI-Assisted Item Development

Beyond Executable Models: The Pufibara Agent Harness and the Modelica Agent Workflow Benchmark for Physical System Modeling

Feedback That Backfires: Why Small Language Model Agents Repeat the Call They Just Watched Fail

Retrieval-augmented generation vs. deterministic tax computation in multi-agent financial advisory: A 2x2 factorial experiment

Semantic Overlays: Mitigating Prompt Injection with Annotations Beyond Tokens and Steering Vectors

SyPS: Measuring Sycophancy Prompt Sensitivity in Large Language Models

When Names Cross Scripts: A Source-Grounded Benchmark for Historical Entity Reconciliation in the Mongol World

Adversarial Entropy Inflation Against Gumbel-Based Inference Verification

Hypergraph Embedding Indexing for Efficient Dense Vector Retrieval

Targeting the Attention Heads Behind Object Hallucination in LLaVA

Drift Variation Autoencoder: Unifying Generation and Representation Learning through Conditional Posterior Flow Matching

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

The Invisible Editorial Layer: Formalizing Undisclosed Inference-Time Steering, Probability Placement, and the Attribution Problem in Deployed Language Models

Unmatched Does Not Mean False: Incomplete Reference Sets Can Reverse Calibration Rankings in Open-Ended Theory-of-Mind Tracking

Output Dilution: Redundant but Fragile Representations in MoE Models

Reading Is Not Using: Retrieval, Judgment, and the Design of AI Financial Research Workflows