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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20,221 to 20,280 of 27,635

MEnvAgent: Scalable Polyglot Environment Construction for Verifiable Software Engineering
Chuanzhe Guo, Jingjing Wu, Sijun He +10
cs.SEcs.AIarXiv:2601.22859v32026
ClusterKV: Manipulating LLM KV Cache in Semantic Space for Recallable Compression
Guangda Liu, Chengwei Li, Jieru Zhao +2
cs.LGcs.AIcs.PFarXiv:2412.03213v22024
Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence
NVIDIA, :, Amala Sanjay Deshmukh +216
cs.LGcs.AIcs.CVarXiv:2604.24954v22026
Continuous Learning in Single-Incremental-Task Scenarios
Davide Maltoni, Vincenzo Lomonaco
cs.LGcs.AIcs.CVarXiv:1806.08568v32018
Coupled Variational Reinforcement Learning for Language Model General Reasoning
Xueru Wen, Jie Lou, Yanjiang Liu +6
cs.CLcs.AIarXiv:2512.12576v32025
DanQing: An Up-to-Date Large-Scale Chinese Vision-Language Pre-training Dataset
Hengyu Shen, Tiancheng Gu, Bin Qin +10
cs.CVcs.AIarXiv:2601.10305v32026
Loss-Guided Pretraining Data Selection for Time-Series Foundation Models
Yike Li, Shaoxu Song, Jianmin Wang
cs.LGcs.AIarXiv:2609.37255v12026
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking
Zhiyi Ma, Kawin Ethayarajh, Tristan Thrush +6
cs.CLcs.AIarXiv:2106.06052v12021
Houdini: Fooling Deep Structured Prediction Models
Moustapha Cisse, Yossi Adi, Natalia Neverova +1
stat.MLcs.AIcs.CRarXiv:1707.05373v12017
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning
Yiqin Yang, Xiaoteng Ma, Chenghao Li +5
cs.AIarXiv:2106.03400v22021
Position: Universal Aesthetic Alignment Narrows Artistic Expression
Wenqi Marshall Guo, Qingyun Qian, Khalad Hasan +1
cs.CYcs.AIcs.CVarXiv:2512.11883v32025
Trajectory Soup: Pushing the Compute-Scaling Frontier of LLM Mid-training via Diverse Trajectories
Zhehao Huang, Changxin Tian, Qingyuan Yang +5
cs.LGcs.AIcs.CLarXiv:2609.37169v12026
Generalised framework for multi-criteria method selection
Jarosław Wątróbski, Jarosław Jankowski, Paweł Ziemba +2
cs.AIarXiv:1810.11078v12018
Are We Ready for RL in Text-to-3D Generation? A Progressive Investigation
Yiwen Tang, Zoey Guo, Kaixin Zhu +11
cs.CVcs.AIcs.CLarXiv:2512.10949v12025
The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
Pratyusha Sharma, Jordan T. Ash, Dipendra Misra
cs.LGcs.AIcs.CLarXiv:2312.13558v12023
Autonomous Microscopy Experiments through Large Language Model Agents
Indrajeet Mandal, Jitendra Soni, Mohd Zaki +5
cs.CYcond-mat.mtrl-scics.AIarXiv:2501.10385v22024
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan +11
cs.CLcs.AIarXiv:2303.12712v52023
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
Nathaniel Li, Alexander Pan, Anjali Gopal +54
cs.LGcs.AIcs.CLarXiv:2403.03218v72024
Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI Agents
Vineeth Sai Narajala, Om Narayan
cs.CRcs.AIarXiv:2504.19956v22025
PARC-Loc: Text-to-Point-Cloud Localization with Partial Assignment and Relational Consistency
Shengkai Ma, Zhenyu Hou, Weihua Cao
cs.CVcs.AIcs.CLarXiv:2610.09761v12026
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces
Chloe Wang, Oleksii Tsepa, Jun Ma +1
cs.LGcs.AIarXiv:2402.00789v12024
SQUARE: Structured Quantum Representation Adapters as Compact Quadratic Feature Maps for Frozen Language Models
Emily Jimin Roh, Hyojun Ahn, Hoyeong Lee +4
quant-phcs.AIarXiv:2609.37134v12026
Why Neurons Have Thousands of Synapses, A Theory of Sequence Memory in Neocortex
Jeff Hawkins, Subutai Ahmad
q-bio.NCcs.AIarXiv:1511.00083v22015
Beyond Surface Cues: Disentangling Sociocultural Signals in Multilingual LLMs
Yuanjun Feng, Tanzhou Liu, Stefan Feuerriegel +1
cs.CLcs.AIarXiv:2608.23026v12026
OpenDeception: Learning Deception and Trust in Human-AI Interaction via Multi-Agent Simulation
Yichen Wu, Qianqian Gao, Xudong Pan +2
cs.AIcs.CLarXiv:2504.13707v32025
From Answers to Interpretations: Rethinking Ambiguity-Induced Aleatoric Uncertainty Estimation in LLMs
Omer Nahum, Niv Nayman, Jonathan Fhima +4
cs.AIarXiv:2609.04543v12026
Where Did It Go Wrong? Process-Level Evaluation of Web Agents with Semantic State Tracking
Jiwan Chung, JiHyuk Byun, Vibhav Vineet +1
cs.AIcs.LGarXiv:2606.15673v22026
Learning from Viable Failure Prefixes: Milestone Viability Potential Policy Optimization for Long-Horizon LLM Agents
Qi Zhou, Yuanfan Li
cs.AIarXiv:2609.37111v22026
Identifying the Risks of LM Agents with an LM-Emulated Sandbox
Yangjun Ruan, Honghua Dong, Andrew Wang +6
cs.AIcs.CLcs.LGarXiv:2309.15817v22023
DeCO: Discriminative Evidence Composition for Fine-Grained Dataset Distillation
Chuixuan Fan, Guang Li, Shijie Wang +5
cs.CVcs.AIarXiv:2608.25480v12026
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning
Ning Miao, Yee Whye Teh, Tom Rainforth
cs.AIcs.CLcs.LGarXiv:2308.00436v32023
ARGOS: Reinforcement Learning-Driven Multidimensional Elasticity for Service Orchestration in the Computing Continuum
Javier Mateos-Bravo, Sergio Laso, Juan Luis Herrera +3
cs.DCcs.AIarXiv:2609.37085v12026
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation
Junwei Zhang, Min Gao, Junliang Yu +3
cs.IRcs.AIarXiv:2109.04200v22021
KATOsuper: Surrogate-accelerated neural topology optimization with sensitivity-consistent Fourier neural operators
Shengyu Yan, Jasmin Jelovica
cs.CEcs.AIcs.LGarXiv:2609.27216v12026
Learning to Infer and Execute 3D Shape Programs
Yonglong Tian, Andrew Luo, Xingyuan Sun +4
cs.CVcs.AIcs.GRarXiv:1901.02875v32019
KD-OCT: Efficient Knowledge Distillation for Clinical-Grade Retinal OCT Classification
Erfan Nourbakhsh, Nasrin Sanjari, Ali Nourbakhsh
cs.CVcs.AIcs.LGarXiv:2512.09069v22025
Real-Time Aligned Reward Model beyond Semantics
Zixuan Huang, Xin Xia, Yuxi Ren +10
cs.AIarXiv:2601.22664v42026
Language-Augmented Semantic Priors for B-Spline Surface Fitting
Yunzhong Lou, Yusheng Luo, Jiahao Li +2
cs.CVcs.AIarXiv:2609.11708v12026
Identifying ODEs from Unstructured Data with Causal Representation Learning
Alessandro Trenta, Riccardo Massidda, Davide Bacciu +1
cs.LGcs.AIstat.MLarXiv:2609.37083v12026
PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding
Jang Hyun Cho, Andrea Madotto, Effrosyni Mavroudi +26
cs.CVcs.AIcs.LGarXiv:2504.13180v32025
InfiniteDiffusion: Bridging Learned Fidelity and Procedural Utility for Open-World Terrain Generation
Alexander Goslin
cs.CVcs.AIcs.GRarXiv:2512.08309v42025
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
Mingguo He, Zhewei Wei, Zengfeng Huang +1
cs.LGcs.AIarXiv:2106.10994v32021
FlowAct-R1: Towards Interactive Humanoid Video Generation
Lizhen Wang, Yongming Zhu, Zhipeng Ge +15
cs.CVcs.AIarXiv:2601.10103v12026
Humanoid Policy ~ Human Policy
Ri-Zhao Qiu, Shiqi Yang, Xuxin Cheng +12
cs.ROcs.AIcs.CVarXiv:2503.13441v32025
Beyond Compression: Diagnosing How Post-Training Changes Mathematical Reasoning
Hongyang Li, Yiming Zhu, Xiao Li +3
cs.LGcs.AIarXiv:2609.37066v12026
Is It Bad to Work All the Time? Cross-Cultural Evaluation of Social Norm Biases in GPT-4
Zhuozhuo Joy Liu, Farhan Samir, Mehar Bhatia +2
cs.CLcs.AIarXiv:2505.18322v12025
Solving math word problems with process- and outcome-based feedback
Jonathan Uesato, Nate Kushman, Ramana Kumar +6
cs.LGcs.AIcs.CLarXiv:2211.14275v12022
Relational Visual Similarity
Thao Nguyen, Sicheng Mo, Krishna Kumar Singh +6
cs.CVcs.AIcs.LGarXiv:2512.07833v22025
AI for Auto-Research: Roadmap & User Guide
Lingdong Kong, Xian Sun, Wei Chow +17
cs.AIarXiv:2605.18661v22026
The Memory Curse: How Expanded Recall Erodes Cooperative Intent in LLM Agents
Jiayuan Liu, Tianqin Li, Shiyi Du +7
cs.CLcs.AIcs.GTarXiv:2605.08060v12026
Selective Synergistic Learning for Video Object-Centric Learning
WonJun Moon, Jae-Pil Heo
cs.CVcs.AIarXiv:2606.15527v12026
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning
Fuying Wang, Yuyin Zhou, Shujun Wang +2
cs.CVcs.AIcs.CLarXiv:2210.06044v12022
BF1: A Causal Dyadic Sparse-Attention Retrofit for Efficient Long-Context Transformers
Hina Dixit
cs.LGcs.AIarXiv:2608.20427v12026
MatToolBench: Benchmarking Multimodal Agents in Real-World Materials Science Workflows
Mei Wu, Rui Xie, Runyu Zhang +6
cs.AIarXiv:2609.37053v12026
RetGen: A Joint framework for Retrieval and Grounded Text Generation Modeling
Yizhe Zhang, Siqi Sun, Xiang Gao +5
cs.CLcs.AIarXiv:2105.06597v42021
The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
Parshin Shojaee, Iman Mirzadeh, Keivan Alizadeh +3
cs.AIcs.CLcs.LGarXiv:2506.06941v32025
A Composable Evaluation System for Reproducible Omni-Modal Foundation Model Evaluation
Hodong Lee, Sanghee Park, Dohoon Ryu +4
cs.AIarXiv:2609.01315v12026
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization
Chelsea Finn, Sergey Levine, Pieter Abbeel
cs.LGcs.AIcs.ROarXiv:1603.00448v32016
START: Spatial and Textual Learning for Chart Understanding
Zhuoming Liu, Xiaofeng Gao, Feiyang Niu +3
cs.CVcs.AIarXiv:2512.07186v12025
Deep learning generalizes because the parameter-function map is biased towards simple functions
Guillermo Valle-Pérez, Chico Q. Camargo, Ard A. Louis
stat.MLcs.AIcs.LGarXiv:1805.08522v52018

Artificial Intelligence

MEnvAgent: Scalable Polyglot Environment Construction for Verifiable Software Engineering

ClusterKV: Manipulating LLM KV Cache in Semantic Space for Recallable Compression

Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence

Continuous Learning in Single-Incremental-Task Scenarios

Coupled Variational Reinforcement Learning for Language Model General Reasoning

DanQing: An Up-to-Date Large-Scale Chinese Vision-Language Pre-training Dataset

Loss-Guided Pretraining Data Selection for Time-Series Foundation Models

Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking

Houdini: Fooling Deep Structured Prediction Models

Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning

Position: Universal Aesthetic Alignment Narrows Artistic Expression

Trajectory Soup: Pushing the Compute-Scaling Frontier of LLM Mid-training via Diverse Trajectories

Generalised framework for multi-criteria method selection

Are We Ready for RL in Text-to-3D Generation? A Progressive Investigation

The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction

Autonomous Microscopy Experiments through Large Language Model Agents

Sparks of Artificial General Intelligence: Early experiments with GPT-4

The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning

Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI Agents

PARC-Loc: Text-to-Point-Cloud Localization with Partial Assignment and Relational Consistency

Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces

SQUARE: Structured Quantum Representation Adapters as Compact Quadratic Feature Maps for Frozen Language Models

Why Neurons Have Thousands of Synapses, A Theory of Sequence Memory in Neocortex

Beyond Surface Cues: Disentangling Sociocultural Signals in Multilingual LLMs

OpenDeception: Learning Deception and Trust in Human-AI Interaction via Multi-Agent Simulation

From Answers to Interpretations: Rethinking Ambiguity-Induced Aleatoric Uncertainty Estimation in LLMs

Where Did It Go Wrong? Process-Level Evaluation of Web Agents with Semantic State Tracking

Learning from Viable Failure Prefixes: Milestone Viability Potential Policy Optimization for Long-Horizon LLM Agents

Identifying the Risks of LM Agents with an LM-Emulated Sandbox

DeCO: Discriminative Evidence Composition for Fine-Grained Dataset Distillation

SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

ARGOS: Reinforcement Learning-Driven Multidimensional Elasticity for Service Orchestration in the Computing Continuum

Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation

KATOsuper: Surrogate-accelerated neural topology optimization with sensitivity-consistent Fourier neural operators

Learning to Infer and Execute 3D Shape Programs

KD-OCT: Efficient Knowledge Distillation for Clinical-Grade Retinal OCT Classification

Real-Time Aligned Reward Model beyond Semantics

Language-Augmented Semantic Priors for B-Spline Surface Fitting

Identifying ODEs from Unstructured Data with Causal Representation Learning

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

InfiniteDiffusion: Bridging Learned Fidelity and Procedural Utility for Open-World Terrain Generation

BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation

FlowAct-R1: Towards Interactive Humanoid Video Generation

Humanoid Policy ~ Human Policy

Beyond Compression: Diagnosing How Post-Training Changes Mathematical Reasoning

Is It Bad to Work All the Time? Cross-Cultural Evaluation of Social Norm Biases in GPT-4

Solving math word problems with process- and outcome-based feedback

Relational Visual Similarity

AI for Auto-Research: Roadmap & User Guide

The Memory Curse: How Expanded Recall Erodes Cooperative Intent in LLM Agents

Selective Synergistic Learning for Video Object-Centric Learning

Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning

BF1: A Causal Dyadic Sparse-Attention Retrofit for Efficient Long-Context Transformers

MatToolBench: Benchmarking Multimodal Agents in Real-World Materials Science Workflows

RetGen: A Joint framework for Retrieval and Grounded Text Generation Modeling

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

A Composable Evaluation System for Reproducible Omni-Modal Foundation Model Evaluation

Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization

START: Spatial and Textual Learning for Chart Understanding

Deep learning generalizes because the parameter-function map is biased towards simple functions