Every paper with a summary

Every arXiv paper Paperlayer has summarized so far. 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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181 to 240 of 61,210

The AI Assessment Scale (AIAS): A Framework for Ethical Integration of Generative AI in Educational Assessment
Mike Perkins, Leon Furze, Jasper Roe +1
cs.AIarXiv:2312.07086v22023
Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models
Matthew Dahl, Varun Magesh, Mirac Suzgun +1
cs.CLcs.AIcs.CYarXiv:2401.01301v22024
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs
Shulin Zeng, Jun Liu, Guohao Dai +14
cs.ARcs.AIarXiv:2401.03868v22024
One Polluted Page Is Enough: Evaluating Web Content Pollution in LLM Recommenders
Minghao Luo, Liang Chen
cs.CLcs.AIarXiv:2606.13610v22026
i1: A Simple and Fully Open Recipe for Strong Text-to-Image Models
Boya Zeng, Tianze Luo, Shu Pu +4
cs.CVarXiv:2606.11289v12026
SkillAdaptor: Self-Adapting Skills for LLM Agents from Trajectories
Zhuoyun Yu, Xin Xie, Wuguannan Yao +4
cs.CLcs.AIcs.LGarXiv:2606.01311v12026
Memory-Bound but Not Bandwidth-Limited: The Physical AI Inference Gap in Batch-1 LLM Decode
Josef Chen
cs.ARcs.AIcs.DCarXiv:2605.30571v12026
The Fragility of Chain-of-Thought Monitoring Across Typologically Diverse Languages
Eric Onyame, Runtao Zhou, Kowshik Thopalli +2
cs.CLcs.AIarXiv:2605.27901v12026
The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence
Aili Chen, Aonian Li, Baichuan Zhou +215
cs.AIcs.CLcs.LGarXiv:2605.26494v22026
Verus-SpecGym: An Agentic Environment for Evaluating Specification Autoformalization
Anmol Agarwal, Natalie Neamtu, Pranjal Aggarwal +6
cs.SEcs.AIcs.CLarXiv:2605.26457v12026
Live Music Diffusion Models: Efficient Fine-Tuning and Post-Training of Interactive Diffusion Music Generators
Zachary Novack, Stephen Brade, Haven Kim +8
cs.SDcs.AIcs.LGarXiv:2605.22717v12026
Forecasting Downstream Performance of LLMs With Proxy Metrics
Arkil Patel, Siva Reddy, Marius Mosbach +1
cs.CLcs.LGarXiv:2605.18607v12026
OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization
Zhongzhu Zhou, Donglin Zhuang, Jisen Li +4
cs.LGcs.AIcs.DCarXiv:2605.17757v12026
ALAS: Transactional and Dynamic Multi-Agent LLM Planning
Longling Geng, Edward Y. Chang
cs.MAarXiv:2511.03094v12025
A Categorical Quantum Logic
Samson Abramsky, Ross Duncan
quant-phcs.LOarXiv:quant-ph/0512114v12005
Visual Aesthetic Benchmark: Can Frontier Models Judge Beauty?
Yichen Feng, Yuetai Li, Chunjiang Liu +14
cs.CVcs.AIcs.HCarXiv:2605.12684v12026
Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning
Junhao Shen, Teng Zhang, Xiaoyan Zhao +1
cs.LGcs.CLarXiv:2605.10923v22026
MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents
Yining Chen, Jihao Zhao, Bo Tang +5
cs.CRcs.CLarXiv:2605.09530v32026
AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents
Nithin Somasekharan, Rabi Pathak, Manushri Dhanakoti +4
physics.flu-dyncs.AIarXiv:2605.06607v32026
Uni-OPD: Unifying On-Policy Distillation with a Dual-Perspective Recipe
Wenjin Hou, Shangpin Peng, Weinong Wang +13
cs.LGarXiv:2605.03677v22026
A Survey on Metaverse: Fundamentals, Security, and Privacy
Yuntao Wang, Zhou Su, Ning Zhang +4
cs.CRarXiv:2203.02662v42022
Language models fail at extended rule following
Tianxiang Dai, Jonathan Fan
cs.CLarXiv:2605.02028v22026
Red Teaming Language Models with Language Models
Ethan Perez, Saffron Huang, Francis Song +6
cs.CLcs.AIcs.CRarXiv:2202.03286v12022
A Consistent and Efficient Evaluation Strategy for Attribution Methods
Yao Rong, Tobias Leemann, Vadim Borisov +2
cs.CVcs.LGarXiv:2202.00449v22022
Data-Driven Modeling and Prediction of Non-Linearizable Dynamics via Spectral Submanifolds
Mattia Cenedese, Joar Axås, Bastian Bäuerlein +2
math.DScs.LGeess.SYarXiv:2201.04976v12022
HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation
Xin Zhou, Dingkang Liang, Xiwu Chen +4
cs.CVarXiv:2604.28196v12026
Beyond SFT-to-RL: Pre-alignment via Black-Box On-Policy Distillation for Multimodal RL
Sudong Wang, Weiquan Huang, Xiaomin Yu +9
cs.CVcs.AIcs.CLarXiv:2604.28123v32026
WindowsWorld: A Process-Centric Benchmark of Autonomous GUI Agents in Professional Cross-Application Environments
Jinchao Li, Yunxin Li, Chenrui Zhao +3
cs.AIcs.CLarXiv:2604.27776v12026
Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes
James Lucas, Juhan Bae, Michael R. Zhang +3
cs.LGcs.AIstat.MLarXiv:2104.11044v22021
Efficient Training on Multiple Consumer GPUs with RoundPipe
Yibin Luo, Shiwei Gao, Huichuan Zheng +2
cs.DCcs.AIcs.LGarXiv:2604.27085v12026
Efficient Symmetry-Preserving State Preparation Circuits for the Variational Quantum Eigensolver Algorithm
Bryan T. Gard, Linghua Zhu, George S. Barron +3
quant-pharXiv:1904.10910v32019
Reconstructing Training Data with Informed Adversaries
Borja Balle, Giovanni Cherubin, Jamie Hayes
cs.CRcs.LGarXiv:2201.04845v22022
Offline Evaluation Measures of Fairness in Recommender Systems
Theresia Veronika Rampisela
cs.IRarXiv:2604.25032v12026
Register Tokens for Bounded-State Reasoning in Diffusion Language Models
Albert Ge, Chandan Singh, Yufan Zhuang +3
cs.CLarXiv:2609.16372v12026
Few-Shot NLG with Pre-Trained Language Model
Zhiyu Chen, Harini Eavani, Wenhu Chen +2
cs.CLarXiv:1904.09521v32019
BS-Nets: An End-to-End Framework For Band Selection of Hyperspectral Image
Yaoming Cai, Xiaobo Liu, Zhihua Cai
cs.CVcs.LGarXiv:1904.08269v12019
A Closer Look at Few-shot Classification
Wei-Yu Chen, Yen-Cheng Liu, Zsolt Kira +2
cs.CVarXiv:1904.04232v22019
Data Shapley: Equitable Valuation of Data for Machine Learning
Amirata Ghorbani, James Zou
stat.MLcs.AIcs.LGarXiv:1904.02868v22019
LLMSec-AV: A Vulnerability Taxonomy and LLM-Driven Software Weakness Discovery Framework for Autonomous Vehicles
Md. Wasiul Haque, Sagar Dasgupta, Mizanur Rahman
cs.CRarXiv:2609.09386v12026
NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting
Tobias Susetzky, Raphael Rehms, Dmitrii Seletkov +5
cs.LGcs.AIarXiv:2609.09140v12026
Knowledge-driven Encode, Retrieve, Paraphrase for Medical Image Report Generation
Christy Y. Li, Xiaodan Liang, Zhiting Hu +1
cs.CVarXiv:1903.10122v12019
TBar: Revisiting Template-based Automated Program Repair
Kui Liu, Anil Koyuncu, Dongsun Kim +1
cs.SEarXiv:1903.08409v22019
Expansion-Squeeze-Excitation Fusion Network for Elderly Activity Recognition
Xiangbo Shu, Jiawen Yang, Rui Yan +1
cs.CVstat.MLarXiv:2112.10992v22021
Class-incremental Learning via Deep Model Consolidation
Junting Zhang, Jie Zhang, Shalini Ghosh +5
cs.CVcs.LGarXiv:1903.07864v42019
ICON: Implicit Clothed humans Obtained from Normals
Yuliang Xiu, Jinlong Yang, Dimitrios Tzionas +1
cs.CVcs.AIcs.GRarXiv:2112.09127v22021
CUNO: Curriculum and Preference Optimization for Stable Graph Unlearning under Mass Deletion
Chenhan Zhang, Ali Braytee, Madhushi Bandara +4
cs.LGcs.AIarXiv:2609.08244v12026
GNNExplainer: Generating Explanations for Graph Neural Networks
Rex Ying, Dylan Bourgeois, Jiaxuan You +2
cs.LGstat.MLarXiv:1903.03894v42019
DiffNR: Diffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction
Shiyan Su, Ruyi Zha, Danli Shi +2
eess.IVcs.CVarXiv:2604.21518v12026
Extracting Triangular 3D Models, Materials, and Lighting From Images
Jacob Munkberg, Jon Hasselgren, Tianchang Shen +5
cs.CVcs.GRarXiv:2111.12503v52021
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank
Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
cs.CVarXiv:1902.06285v12019
VLAA-GUI: Knowing When to Stop, Recover, and Search, A Modular Framework for GUI Automation
Qijun Han, Haoqin Tu, Zijun Wang +11
cs.CLcs.AIcs.SEarXiv:2604.21375v22026
EEG-Driven Decoding Framework for Passenger Hazard Perception in Highly Automated Vehicles
Yingkai Yang, Ashton Yu Xuan Tan, Bowen Li +10
cs.AIcs.LGeess.SParXiv:2609.07128v12026
End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis
Lin Xu, Qixian Zhou, Ke Gong +3
cs.CLarXiv:1901.10623v22019
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation
Shichang Zhang, Yozen Liu, Yizhou Sun +1
cs.LGcs.AIarXiv:2110.08727v22021
Scaling Test-Time Compute for Agentic Coding
Joongwon Kim, Wannan Yang, Kelvin Niu +13
cs.SEcs.AIcs.CLarXiv:2604.16529v12026
SPECTECTOR: Principled Detection of Speculative Information Flows
Marco Guarnieri, Boris Köpf, José F. Morales +2
cs.CRarXiv:1812.08639v22018
VICAL: Vicinal Consistency Alignment for Long-Tailed Visual Recognition
Jiangang Zhu, Zheng Wang, Bin Zhu +2
cs.CVcs.AIarXiv:2609.04948v12026
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding
Jasmine Collins, Shubham Goel, Kenan Deng +9
cs.CVcs.AIcs.GRarXiv:2110.06199v22021
Learning High-Speed Flight in the Wild
Antonio Loquercio, Elia Kaufmann, René Ranftl +3
cs.ROcs.LGeess.SYarXiv:2110.05113v12021
PAPT++: Risk-Aware Adversarial Tuning and Generation for Single Domain Generalization
Zhipeng Xu, De Cheng, Xinyang Jiang +5
cs.CVarXiv:2609.04837v12026

Every paper with a summary

The AI Assessment Scale (AIAS): A Framework for Ethical Integration of Generative AI in Educational Assessment

Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models

FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs

One Polluted Page Is Enough: Evaluating Web Content Pollution in LLM Recommenders

i1: A Simple and Fully Open Recipe for Strong Text-to-Image Models

SkillAdaptor: Self-Adapting Skills for LLM Agents from Trajectories

Memory-Bound but Not Bandwidth-Limited: The Physical AI Inference Gap in Batch-1 LLM Decode

The Fragility of Chain-of-Thought Monitoring Across Typologically Diverse Languages

The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Verus-SpecGym: An Agentic Environment for Evaluating Specification Autoformalization

Live Music Diffusion Models: Efficient Fine-Tuning and Post-Training of Interactive Diffusion Music Generators

Forecasting Downstream Performance of LLMs With Proxy Metrics

OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization

ALAS: Transactional and Dynamic Multi-Agent LLM Planning

A Categorical Quantum Logic

Visual Aesthetic Benchmark: Can Frontier Models Judge Beauty?

Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning

MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents

AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents

Uni-OPD: Unifying On-Policy Distillation with a Dual-Perspective Recipe

A Survey on Metaverse: Fundamentals, Security, and Privacy

Language models fail at extended rule following

Red Teaming Language Models with Language Models

A Consistent and Efficient Evaluation Strategy for Attribution Methods

Data-Driven Modeling and Prediction of Non-Linearizable Dynamics via Spectral Submanifolds

HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation

Beyond SFT-to-RL: Pre-alignment via Black-Box On-Policy Distillation for Multimodal RL

WindowsWorld: A Process-Centric Benchmark of Autonomous GUI Agents in Professional Cross-Application Environments

Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes

Efficient Training on Multiple Consumer GPUs with RoundPipe

Efficient Symmetry-Preserving State Preparation Circuits for the Variational Quantum Eigensolver Algorithm

Reconstructing Training Data with Informed Adversaries

Offline Evaluation Measures of Fairness in Recommender Systems

Register Tokens for Bounded-State Reasoning in Diffusion Language Models

Few-Shot NLG with Pre-Trained Language Model

BS-Nets: An End-to-End Framework For Band Selection of Hyperspectral Image

A Closer Look at Few-shot Classification

Data Shapley: Equitable Valuation of Data for Machine Learning

LLMSec-AV: A Vulnerability Taxonomy and LLM-Driven Software Weakness Discovery Framework for Autonomous Vehicles

NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting

Knowledge-driven Encode, Retrieve, Paraphrase for Medical Image Report Generation

TBar: Revisiting Template-based Automated Program Repair

Expansion-Squeeze-Excitation Fusion Network for Elderly Activity Recognition

Class-incremental Learning via Deep Model Consolidation

ICON: Implicit Clothed humans Obtained from Normals

CUNO: Curriculum and Preference Optimization for Stable Graph Unlearning under Mass Deletion

GNNExplainer: Generating Explanations for Graph Neural Networks

DiffNR: Diffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction

Extracting Triangular 3D Models, Materials, and Lighting From Images

Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank

VLAA-GUI: Knowing When to Stop, Recover, and Search, A Modular Framework for GUI Automation

EEG-Driven Decoding Framework for Passenger Hazard Perception in Highly Automated Vehicles

End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis

Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation

Scaling Test-Time Compute for Agentic Coding

SPECTECTOR: Principled Detection of Speculative Information Flows

VICAL: Vicinal Consistency Alignment for Long-Tailed Visual Recognition

ABO: Dataset and Benchmarks for Real-World 3D Object Understanding

Learning High-Speed Flight in the Wild

PAPT++: Risk-Aware Adversarial Tuning and Generation for Single Domain Generalization