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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17,341 to 17,400 of 27,737

Robust Graph Learning from Noisy Data
Zhao Kang, Haiqi Pan, Steven C. H. Hoi +1
cs.CVcs.AIcs.LGarXiv:1812.06673v12018
hacktrace: behavior-supervised detection of reward hacking during code generation
Hao Jiang, Xin Li, Annan Wang +2
cs.AIarXiv:2610.03055v12026
Algorithm Runtime Prediction: Methods & Evaluation
Frank Hutter, Lin Xu, Holger H. Hoos +1
cs.AIcs.LGcs.PFarXiv:1211.0906v22012
Self-Explainable Multi-Label Graph Neural Network for Correlated Evidence Attribution
Yingqi Feng, Yufei Tang, Min Shi +1
cs.LGcs.AIarXiv:2608.27574v12026
From Uncertainty to Clinical Risk: Severity-Aware Conformal Planning for Interactive Medical Diagnosis
Yue Zhou, Haiyang Zhou, Jin Zhang +4
cs.AIarXiv:2608.27847v12026
Auditing Reasoning-Trace Memorization Claims after Unlearning with Head-Conditioned Canaries
Yanhang Li, Zhichao Fan, Zexin Zhuang
cs.LGcs.AIarXiv:2605.18891v12026
Prior Audit-Repair Context Shifts LLM Verifier Thresholds Toward Leniency
Parsa Mazaheri, Kasra Mazaheri
cs.AIcs.CLarXiv:2608.16003v12026
SkillGrad: Optimizing Agent Skills Like Gradient Descent
Hanyu Wang, Yifan Lan, Bochuan Cao +2
cs.AIarXiv:2605.27760v12026
FLARE: A Systematic, Uncertainty-Aware Framework for Evidence-Based Adoption of Artificial Intelligence in Healthcare
Jacob Idoko, Siddhartha Paudel, Mariana Bento +2
cs.AIarXiv:2608.23643v12026
Hallucination is Inevitable: An Innate Limitation of Large Language Models
Ziwei Xu, Sanjay Jain, Mohan Kankanhalli
cs.CLcs.AIcs.LGarXiv:2401.11817v22024
Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning
Shubham Parashar, Shurui Gui, Xiner Li +8
cs.LGcs.AIcs.CLarXiv:2506.06632v32025
Learning from the Test: Self-Referential Differential Testing for Deep RL Agents
Junda He, Jieke Shi, Zhou Yang +2
cs.SEcs.AIcs.LGarXiv:2608.22284v12026
Discretizing Continuous Time Series for Imputation with Masked Diffusion Training
Dongbin Kim, Seungyun Lee, Geonwoo Shin +1
cs.LGcs.AIarXiv:2608.19119v12026
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
Sergey Bartunov, Adam Santoro, Blake A. Richards +3
cs.LGcs.AIcs.NEarXiv:1807.04587v22018
Tiny Machine Learning: Progress and Futures
Ji Lin, Ligeng Zhu, Wei-Ming Chen +2
cs.LGcs.AIcs.CVarXiv:2403.19076v22024
WebArbiter: A Principle-Guided Reasoning Process Reward Model for Web Agents
Yao Zhang, Shijie Tang, Zeyu Li +2
cs.AIarXiv:2601.21872v22026
How Language Models Choose Sides: Internal Representations of Instruction Hierarchy
Enrique Balp-Straffon, Chih-Hao Hsu, Rushiraj Gadhvi +3
cs.AIcs.CLcs.LGarXiv:2608.28648v12026
Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference
Zhihang Lin, Mingbao Lin, Luxi Lin +1
cs.CVcs.AIarXiv:2405.05803v32024
Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models
Yihong Dong, Xue Jiang, Huanyu Liu +4
cs.CLcs.AIcs.CRarXiv:2402.15938v32024
Neural Volumetric Memory for Visual Locomotion Control
Ruihan Yang, Ge Yang, Xiaolong Wang
cs.ROcs.AIcs.CVarXiv:2304.01201v12023
Behavior Transformers: Cloning $k$ modes with one stone
Nur Muhammad Mahi Shafiullah, Zichen Jeff Cui, Ariuntuya Altanzaya +1
cs.LGcs.AIcs.CVarXiv:2206.11251v22022
Stop Automating Peer Review Without Rigorous Evaluation
Joachim Baumann, Jiaxin Pei, Sanmi Koyejo +1
cs.AIarXiv:2605.03202v22026
Large Language Models can Learn Rules
Zhaocheng Zhu, Yuan Xue, Xinyun Chen +4
cs.AIcs.CLarXiv:2310.07064v32023
A Privileged Teacher That Only Scores Cannot Search: Critique-Conditioned On-Policy Self-Distillation for Reasoning
Mayug Maniparambil, Ayush Rai, Ekansh Verma +2
cs.AIcs.CLcs.LGarXiv:2610.13744v12026
ThinkRouter: Efficient Reasoning via Routing Thinking between Latent and Discrete Spaces
Xin Xu, Tong Yu, Xiang Chen +3
cs.AIcs.CLcs.LGarXiv:2602.11683v12026
Knowledge-aware Coupled Graph Neural Network for Social Recommendation
Chao Huang, Huance Xu, Yong Xu +7
cs.IRcs.AIarXiv:2110.03987v12021
Step-3 is Large yet Affordable: Model-system Co-design for Cost-effective Decoding
StepFun, :, Bin Wang +197
cs.LGcs.AIarXiv:2507.19427v12025
Online Bayesian Goal Inference for Boundedly-Rational Planning Agents
Tan Zhi-Xuan, Jordyn L. Mann, Tom Silver +2
cs.AIarXiv:2006.07532v22020
LivingRAG: Augmenting Graph RAG with Experience
Yuzhuo Cui, Zongye Zhang, Qingjie Liu
cs.AIarXiv:2608.25960v12026
Self-Supervised Exploration via Disagreement
Deepak Pathak, Dhiraj Gandhi, Abhinav Gupta
cs.LGcs.AIcs.CVarXiv:1906.04161v12019
From Solo to Social Learning: Characterizing Recursive Social Improvement in LLMs
Kunal Jha, Max Kleiman-Weiner, Natasha Jaques
cs.MAcs.AIcs.LGarXiv:2609.38516v12026
GAN-Diff : Coupling Pretrained WGAN-GP Features with Conditional Diffusion U-Nets
Saif Ahmed, Ashadulla Hil Galib, S. M. Riaz Rahman Antu +5
cs.CVcs.AIcs.LGarXiv:2608.22272v12026
Confucius Code Agent: Scalable Agent Scaffolding for Real-World Codebases
Sherman Wong, Zhenting Qi, Zhaodong Wang +8
cs.CLcs.AIcs.LGarXiv:2512.10398v62025
Meta reinforcement learning as task inference
Jan Humplik, Alexandre Galashov, Leonard Hasenclever +3
cs.LGcs.AIstat.MLarXiv:1905.06424v22019
Powerset multi-class cross entropy loss for neural speaker diarization
Alexis Plaquet, Hervé Bredin
cs.SDcs.AIcs.CLarXiv:2310.13025v12023
Human oversight of agentic systems in practice: Examining the oversight work, challenges, and heuristics of developers using software agents
Shipi Dhanorkar, Samir Passi, Mihaela Vorvoreanu
cs.SEcs.AIarXiv:2606.05391v12026
Unlocking Fine-Grained and Within-Utterance Speaking Style Control in Prompt-Based Text-to-Speech Models
Jaehoon Kang, Yejin Lee, Yoonji Park +1
cs.CLcs.AIarXiv:2605.27376v12026
WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace Setting
Olly Styles, Sam Miller, Patricio Cerda-Mardini +3
cs.CLcs.AIcs.MAarXiv:2405.00823v22024
Retrieval-Augmented Multimodal Language Model with Heterogeneous Evidence Integration for Clinical Prognosis
Hamza Shafiq, Jialu Tang, Ting Dang +2
cs.AIcs.CLarXiv:2610.13510v12026
Operator Packages, Proposer Strength, and Construction-Family Plateaus in Office-Scale Verified Search
Roberto I. Ono Filho
cs.CLcs.AIcs.LGarXiv:2609.29636v12026
When Lower Reconstruction Loss Hurts: Distributionally Robust Refinement for Low-Bit LLM Quantization
Yanlong Zhao, Xiaoyuan Cheng, Huihang Liu +6
cs.AIcs.LGstat.MLarXiv:2610.11226v12026
Probabilistic Logic Neural Networks for Reasoning
Meng Qu, Jian Tang
cs.LGcs.AIstat.MLarXiv:1906.08495v22019
Learning to Configure Agentic AI Systems
Aditya Taparia, Som Sagar, Ransalu Senanayake
cs.AIarXiv:2602.11574v32026
On Measuring Long-Range Interactions in Graph Neural Networks
Jacob Bamberger, Benjamin Gutteridge, Scott le Roux +2
cs.LGcs.AIarXiv:2506.05971v12025
C3M: Cross-Session Multimodal Memory Maintenance for Long-Horizon Tasks
Xueshu Chen, Yan Wang, Zihao Xue +5
cs.AIcs.CLcs.CVarXiv:2609.29735v12026
PIPE-Cypher: Automatic Enterprise Benchmark Generation for Text-to-Cypher Systems
Suraj Ranganath, Anish Raghavendra
cs.LGcs.AIcs.DBarXiv:2606.08481v12026
Poison Attack and Defense on Deep Source Code Processing Models
Jia Li, Zhuo Li, Huangzhao Zhang +4
cs.SEcs.AIarXiv:2210.17029v12022
Machine Learning in the Air
Deniz Gunduz, Paul de Kerret, Nicholas D. Sidiropoulos +3
cs.ITcs.AIcs.LGarXiv:1904.12385v12019
ImplicitMemBench: Measuring Unconscious Behavioral Adaptation in Large Language Models
Chonghan Qin, Xiachong Feng, Weitao Ma +2
cs.AIarXiv:2604.08064v22026
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx
Kin G. Olivares, Cristian Challu, Grzegorz Marcjasz +2
cs.LGcs.AIstat.MLarXiv:2104.05522v62021
Differentiable Logic Gate Networks for Low-Latency EEG Classification on Edge Devices
Shyamal Y. Dharia, Stephen D. Smith, Camilo E. Valderrama
cs.LGcs.AIarXiv:2607.18149v12026
HDLTex: Hierarchical Deep Learning for Text Classification
Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa +3
cs.LGcs.AIcs.CLarXiv:1709.08267v22017
Set-Based Transformer for Atmospheric Compensation in Standoff LWIR Hyperspectral Imaging
Fabian Perez, Nicolas Quintero, Jeferson Acevedo +1
cs.CVcs.AIarXiv:2606.08324v12026
Linear Representation Transferability Hypothesis: Leveraging Small Models to Steer Large Models
Femi Bello, Anubrata Das, Fanzhi Zeng +2
cs.LGcs.AIcs.CLarXiv:2506.00653v32025
CompCQR: Compositional Query Generation for Training-Free Conversational Search
Yunah Jang, Kang-il Lee, Joongbo Shin +1
cs.CLcs.AIarXiv:2609.14646v12026
"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust
Sunnie S. Y. Kim, Q. Vera Liao, Mihaela Vorvoreanu +2
cs.HCcs.AIarXiv:2405.00623v22024
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks
Soroush Nasiriany, Huihan Liu, Yuke Zhu
cs.LGcs.AIcs.ROarXiv:2110.03655v32021
When Behavioral Safety Evaluation Fails: A Representation-Level Perspective
Enyi Jiang, Anders Gjølbye, Yibo Jacky Zhang +1
cs.LGcs.AIcs.CLarXiv:2606.08044v22026
LlamaFirewall: An open source guardrail system for building secure AI agents
Sahana Chennabasappa, Cyrus Nikolaidis, Daniel Song +16
cs.CRcs.AIarXiv:2505.03574v12025
Reasoning about Causality in Games
Lewis Hammond, James Fox, Tom Everitt +3
cs.AIcs.GTcs.MAarXiv:2301.02324v22023

Artificial Intelligence

Robust Graph Learning from Noisy Data

hacktrace: behavior-supervised detection of reward hacking during code generation

Algorithm Runtime Prediction: Methods & Evaluation

Self-Explainable Multi-Label Graph Neural Network for Correlated Evidence Attribution

From Uncertainty to Clinical Risk: Severity-Aware Conformal Planning for Interactive Medical Diagnosis

Auditing Reasoning-Trace Memorization Claims after Unlearning with Head-Conditioned Canaries

Prior Audit-Repair Context Shifts LLM Verifier Thresholds Toward Leniency

SkillGrad: Optimizing Agent Skills Like Gradient Descent

FLARE: A Systematic, Uncertainty-Aware Framework for Evidence-Based Adoption of Artificial Intelligence in Healthcare

Hallucination is Inevitable: An Innate Limitation of Large Language Models

Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning

Learning from the Test: Self-Referential Differential Testing for Deep RL Agents

Discretizing Continuous Time Series for Imputation with Masked Diffusion Training

Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures

Tiny Machine Learning: Progress and Futures

WebArbiter: A Principle-Guided Reasoning Process Reward Model for Web Agents

How Language Models Choose Sides: Internal Representations of Instruction Hierarchy

Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference

Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models

Neural Volumetric Memory for Visual Locomotion Control

Behavior Transformers: Cloning $k$ modes with one stone

Stop Automating Peer Review Without Rigorous Evaluation

Large Language Models can Learn Rules

A Privileged Teacher That Only Scores Cannot Search: Critique-Conditioned On-Policy Self-Distillation for Reasoning

ThinkRouter: Efficient Reasoning via Routing Thinking between Latent and Discrete Spaces

Knowledge-aware Coupled Graph Neural Network for Social Recommendation

Step-3 is Large yet Affordable: Model-system Co-design for Cost-effective Decoding

Online Bayesian Goal Inference for Boundedly-Rational Planning Agents

LivingRAG: Augmenting Graph RAG with Experience

Self-Supervised Exploration via Disagreement

From Solo to Social Learning: Characterizing Recursive Social Improvement in LLMs

GAN-Diff : Coupling Pretrained WGAN-GP Features with Conditional Diffusion U-Nets

Confucius Code Agent: Scalable Agent Scaffolding for Real-World Codebases

Meta reinforcement learning as task inference

Powerset multi-class cross entropy loss for neural speaker diarization

Human oversight of agentic systems in practice: Examining the oversight work, challenges, and heuristics of developers using software agents

Unlocking Fine-Grained and Within-Utterance Speaking Style Control in Prompt-Based Text-to-Speech Models

WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace Setting

Retrieval-Augmented Multimodal Language Model with Heterogeneous Evidence Integration for Clinical Prognosis

Operator Packages, Proposer Strength, and Construction-Family Plateaus in Office-Scale Verified Search

When Lower Reconstruction Loss Hurts: Distributionally Robust Refinement for Low-Bit LLM Quantization

Probabilistic Logic Neural Networks for Reasoning

Learning to Configure Agentic AI Systems

On Measuring Long-Range Interactions in Graph Neural Networks

C3M: Cross-Session Multimodal Memory Maintenance for Long-Horizon Tasks

PIPE-Cypher: Automatic Enterprise Benchmark Generation for Text-to-Cypher Systems

Poison Attack and Defense on Deep Source Code Processing Models

Machine Learning in the Air

ImplicitMemBench: Measuring Unconscious Behavioral Adaptation in Large Language Models

Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx

Differentiable Logic Gate Networks for Low-Latency EEG Classification on Edge Devices

HDLTex: Hierarchical Deep Learning for Text Classification

Set-Based Transformer for Atmospheric Compensation in Standoff LWIR Hyperspectral Imaging

Linear Representation Transferability Hypothesis: Leveraging Small Models to Steer Large Models

CompCQR: Compositional Query Generation for Training-Free Conversational Search

"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust

Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks

When Behavioral Safety Evaluation Fails: A Representation-Level Perspective

LlamaFirewall: An open source guardrail system for building secure AI agents

Reasoning about Causality in Games