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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82,501 to 82,560 of 104,192

Concept-based Explainable Artificial Intelligence: A Survey
Eleonora Poeta, Gabriele Ciravegna, Eliana Pastor +2
cs.AIcs.HCarXiv:2312.12936v12023
Personalized Counterfactual Fairness in Recommendation
Yunqi Li, Hanxiong Chen, Shuyuan Xu +2
cs.IRcs.AIcs.LGarXiv:2105.09829v32021
Recurrent Inference Machines for Solving Inverse Problems
Patrick Putzky, Max Welling
cs.NEcs.CVarXiv:1706.04008v12017
SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models
Thinh Pham, Nguyen Nguyen, Pratibha Zunjare +3
cs.CLcs.AIcs.LGarXiv:2506.01062v42025
A Formal Framework for Noisy Runtime Verification
Shay Allen Logan, Shawn Standefer, Thomas Ferguson
cs.LOarXiv:2609.10462v12026
Collaborative Evolving Strategy for Automatic Data-Centric Development
Xu Yang, Haotian Chen, Wenjun Feng +7
cs.AIarXiv:2407.18690v12024
UnityVideo: Unified Multi-Modal Multi-Task Learning for Enhancing World-Aware Video Generation
Jiehui Huang, Yuechen Zhang, Xu He +7
cs.CVarXiv:2512.07831v12025
Imagine Before Retrieval: Prospective Skill Retrieval for LLM Agents
Shuo Liu, Yutong Yang, Haohao Xiao +2
cs.IRarXiv:2609.01642v12026
Tools-CC-Bench: a Benchmark Suite for Collective Communication with Compression in HPC and AI Workloads
Haozhe Fan, Wei Wang, Xingchen Liu +12
cs.DCarXiv:2609.08739v22026
Aegis: Generative Gradient Masking for Privacy-Preserving Medical Federated Learning
Chaoyu Zhang, Shanghao Shi, Heng Jin +3
cs.CRcs.AIarXiv:2609.38339v12026
Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes
Guanghui Lan
cs.LGcs.AImath.OCarXiv:2102.00135v62021
CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists
Junlin Yang, Dylan Zhang, Xiangchen Song +7
cs.AIcs.CLarXiv:2605.26029v22026
Mechanistic Interpretability of Large-Scale Counting in LLMs through a System-2 Strategy
Hosein Hasani, Mohammadali Banayeeanzade, Ali Nafisi +5
cs.CLarXiv:2601.02989v22026
Adaptive Interference Removal for Un-coordinated Radar/Communication Co-existence
Le Zheng, Marco Lops, Xiaodong Wang
eess.SYcs.SYstat.AParXiv:1706.03151v22017
Unsupervised Scale-consistent Depth Learning from Video
Jia-Wang Bian, Huangying Zhan, Naiyan Wang +5
cs.CVarXiv:2105.11610v12021
OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment
Jiaxin Deng, Shiyao Wang, Kuo Cai +5
cs.IRarXiv:2502.18965v12025
Confinement-Higgs transition in a disordered gauge theory and the accuracy threshold for quantum memory
Chenyang Wang, Jim Harrington, John Preskill
quant-phcond-mat.stat-mechhep-latarXiv:quant-ph/0207088v22002
Gated Slot Attention-2: Two-Sided Associative Memory Correction in Linear Attention
Ruijie Li, Shengnan Ding, Weimin Zhang +6
cs.LGarXiv:2610.02816v12026
PersonaGym: Evaluating Persona Agents and LLMs
Vinay Samuel, Henry Peng Zou, Yue Zhou +6
cs.CLcs.AIcs.LGarXiv:2407.18416v52024
Bayesian Nonparametric Hidden Semi-Markov Models
Matthew J. Johnson, Alan S. Willsky
stat.MEstat.APstat.MLarXiv:1203.1365v22012
Information Cost Tradeoffs for Augmented Index and Streaming Language Recognition
Amit Chakrabarti, Graham Cormode, Ranganath Kondapally +1
cs.CCcs.DSarXiv:1004.3304v12010
Unifying Policy Learning and State Prediction through Spatial Language Modeling
Minye Wu, Zehao Wang, Tinne Tuytelaars
cs.ROcs.AIarXiv:2610.12172v12026
Generative AI for Visualization: State of the Art and Future Directions
Yilin Ye, Jianing Hao, Yihan Hou +4
cs.LGcs.AIcs.HCarXiv:2404.18144v12024
Neural Relational Inference for Interacting Systems
Thomas Kipf, Ethan Fetaya, Kuan-Chieh Wang +2
stat.MLcs.LGarXiv:1802.04687v22018
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
Katja Schwarz, Yiyi Liao, Michael Niemeyer +1
cs.CVarXiv:2007.02442v42020
Tethered UAVs for Dense Urban Connectivity
German Svistunov, Azim Akhtarshenas
eess.SYcs.SYarXiv:2609.10414v12026
SCORE: Spectral Correlation Estimation for Multivariate Gaussians
Christopher Bülte, Emil Partow, Astha Gupta +2
cs.LGarXiv:2610.12096v12026
Physics-informed neural networks with hard constraints for inverse design
Lu Lu, Raphael Pestourie, Wenjie Yao +3
physics.comp-phcs.LGarXiv:2102.04626v12021
SelfPiCo: Self-Guided Partial Code Execution with LLMs
Zhipeng Xue, Zhipeng Gao, Shaohua Wang +3
cs.SEarXiv:2407.16974v12024
ManiPhysicsBench: Physics-Based Assessment of Object Preservation in VLA Manipulation
Sangwu Park, Yeonjun In, Wonjoong Kim +3
cs.ROarXiv:2610.02802v12026
Optimizing Diversity and Quality through Base-Aligned Model Collaboration
Yichen Wang, Chenghao Yang, Tenghao Huang +3
cs.CLcs.AIcs.LGarXiv:2511.05650v22025
Conditions for compatibility of quantum state assignments
Carlton M. Caves, Christopher A. Fuchs, Ruediger Schack
quant-pharXiv:quant-ph/0206110v12002
Shaping Delay-Doppler Ambiguity in Practical OFDM-ISAC
Cheng Luo, Luping Xiang, Kun Yang
eess.SParXiv:2609.10300v12026
Neural Models for Documents with Metadata
Dallas Card, Chenhao Tan, Noah A. Smith
stat.MLcs.CLarXiv:1705.09296v22017
A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule
Yunzhe Hao, Xuhui Huang, Meng Dong +1
cs.NEcs.AIcs.LGarXiv:1812.06574v32018
Riemannian Metric and Geometric Mean for Positive Semidefinite Matrices of Fixed Rank
Silvere Bonnabel, Rodolphe Sepulchre
math.OCmath.NAarXiv:0807.4462v22008
HyperSAM: A Promptable Foundation Model for Hyperspectral Remote Sensing
Li Pang, Xinqiao Wu, Jing Yao +5
cs.CVarXiv:2609.37340v12026
Constructing elliptic curve isogenies in quantum subexponential time
Andrew M. Childs, David Jao, Vladimir Soukharev
quant-phcs.CCmath.NTarXiv:1012.4019v32010
The evolution of trust and trustworthiness
Aanjaneya Kumar, Valerio Capraro, Matjaz Perc
physics.soc-phcs.SIq-bio.PEarXiv:2008.12948v12020
Model-Order-Adaptive Channel Estimation for AFDM Systems with Fractional Delay and Doppler
Ruizhe Wang, Cunhua Pan, Hong Ren +2
cs.ITmath.ITarXiv:2610.09970v12026
Reinforcement Learning with a Corrupted Reward Channel
Tom Everitt, Victoria Krakovna, Laurent Orseau +2
cs.AIcs.LGstat.MLarXiv:1705.08417v22017
Optimal experimental design: Formulations and computations
Xun Huan, Jayanth Jagalur, Youssef Marzouk
stat.MEcs.NAmath.NAarXiv:2407.16212v22024
Achievability proof via output statistics of random binning
Mohammad Hossein Yassaee, Mohammad Reza Aref, Amin Gohari
cs.ITarXiv:1203.0730v32012
Adaptive Quantum Computation, Constant Depth Quantum Circuits and Arthur-Merlin Games
Barbara M. Terhal, David P. DiVincenzo
quant-phcs.CCarXiv:quant-ph/0205133v62002
A Tutorial on MIMO-OFDM ISAC: From Far-Field to Near-Field
Qianglong Dai, Yong Zeng, Huizhi Wang +10
eess.SParXiv:2504.19091v22025
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation
Yifan Wang, Suyao Tang, Yuntong Lei +3
cs.IRcs.LGcs.SIarXiv:2106.10879v12021
DISCO: Distilling Counterfactuals with Large Language Models
Zeming Chen, Qiyue Gao, Antoine Bosselut +2
cs.CLarXiv:2212.10534v32022
No PUN Intended: Plausible Unknown Names for Person-Centred LLM Evaluation
Dimitri Staufer, David Hartmann, Ibrahim Baroud
cs.CLcs.AIcs.LGarXiv:2608.21206v12026
Point-Query Quadtree for Crowd Counting, Localization, and More
Chengxin Liu, Hao Lu, Zhiguo Cao +1
cs.CVarXiv:2308.13814v12023
Pushing the Boundaries of Streaming Multi-Speaker ASR: A Systematic Study of Architectural Trade-offs
Taejin Park, Ivan Medennikov, Kunal Dhawan +3
eess.AScs.SDarXiv:2609.10265v22026
LatticeSMC: Where to Spend Inference-Time Compute in Chunked Sequence Generators
Xuanchen Wang, Heng Wang, Weidong Cai
cs.LGarXiv:2610.02774v12026
Identifying Implementation Bugs in Machine Learning based Image Classifiers using Metamorphic Testing
Anurag Dwarakanath, Manish Ahuja, Samarth Sikand +4
cs.SEcs.LGarXiv:1808.05353v12018
Differential Privacy Meets Fixed Parameter Tractability: Algorithms and Lower Bounds
Pritish Kamath, Ravi Kumar, Pasin Manurangsi
cs.DScs.CRarXiv:2609.12508v12026
Quantum lower bounds for the collision and the element distinctness problems
Yaoyun Shi
quant-pharXiv:quant-ph/0112086v12001
Detection Algorithms for Communication Systems Using Deep Learning
Nariman Farsad, Andrea Goldsmith
cs.LGcs.AIcs.ETarXiv:1705.08044v22017
Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning
Yunhao Gou, Zhili Liu, Kai Chen +6
cs.CVarXiv:2312.12379v52023
Order elevation of directly self-starting sub-step implicit integrators for transient dynamics
Jinze Li, Yaokun Liu, Kewei Chen +2
math.NAcs.NAphysics.comp-pharXiv:2609.10240v12026
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation
Chen Chen, Chen Qin, Cheng Ouyang +7
eess.IVcs.CVcs.LGarXiv:2108.03429v32021
Towards More Practical Adversarial Attacks on Graph Neural Networks
Jiaqi Ma, Shuangrui Ding, Qiaozhu Mei
cs.LGstat.MLarXiv:2006.05057v32020
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation
Vikram Voleti, Alexia Jolicoeur-Martineau, Christopher Pal
cs.CVcs.AIcs.LGarXiv:2205.09853v42022

Every paper with a summary

Concept-based Explainable Artificial Intelligence: A Survey

Personalized Counterfactual Fairness in Recommendation

Recurrent Inference Machines for Solving Inverse Problems

SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models

A Formal Framework for Noisy Runtime Verification

Collaborative Evolving Strategy for Automatic Data-Centric Development

UnityVideo: Unified Multi-Modal Multi-Task Learning for Enhancing World-Aware Video Generation

Imagine Before Retrieval: Prospective Skill Retrieval for LLM Agents

Tools-CC-Bench: a Benchmark Suite for Collective Communication with Compression in HPC and AI Workloads

Aegis: Generative Gradient Masking for Privacy-Preserving Medical Federated Learning

Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes

CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists

Mechanistic Interpretability of Large-Scale Counting in LLMs through a System-2 Strategy

Adaptive Interference Removal for Un-coordinated Radar/Communication Co-existence

Unsupervised Scale-consistent Depth Learning from Video

OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment

Confinement-Higgs transition in a disordered gauge theory and the accuracy threshold for quantum memory

Gated Slot Attention-2: Two-Sided Associative Memory Correction in Linear Attention

PersonaGym: Evaluating Persona Agents and LLMs

Bayesian Nonparametric Hidden Semi-Markov Models

Information Cost Tradeoffs for Augmented Index and Streaming Language Recognition

Unifying Policy Learning and State Prediction through Spatial Language Modeling

Generative AI for Visualization: State of the Art and Future Directions

Neural Relational Inference for Interacting Systems

GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis

Tethered UAVs for Dense Urban Connectivity

SCORE: Spectral Correlation Estimation for Multivariate Gaussians

Physics-informed neural networks with hard constraints for inverse design

SelfPiCo: Self-Guided Partial Code Execution with LLMs

ManiPhysicsBench: Physics-Based Assessment of Object Preservation in VLA Manipulation

Optimizing Diversity and Quality through Base-Aligned Model Collaboration

Conditions for compatibility of quantum state assignments

Shaping Delay-Doppler Ambiguity in Practical OFDM-ISAC

Neural Models for Documents with Metadata

A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule

Riemannian Metric and Geometric Mean for Positive Semidefinite Matrices of Fixed Rank

HyperSAM: A Promptable Foundation Model for Hyperspectral Remote Sensing

Constructing elliptic curve isogenies in quantum subexponential time

The evolution of trust and trustworthiness

Model-Order-Adaptive Channel Estimation for AFDM Systems with Fractional Delay and Doppler

Reinforcement Learning with a Corrupted Reward Channel

Optimal experimental design: Formulations and computations

Achievability proof via output statistics of random binning

Adaptive Quantum Computation, Constant Depth Quantum Circuits and Arthur-Merlin Games

A Tutorial on MIMO-OFDM ISAC: From Far-Field to Near-Field

DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation

DISCO: Distilling Counterfactuals with Large Language Models

No PUN Intended: Plausible Unknown Names for Person-Centred LLM Evaluation

Point-Query Quadtree for Crowd Counting, Localization, and More

Pushing the Boundaries of Streaming Multi-Speaker ASR: A Systematic Study of Architectural Trade-offs

LatticeSMC: Where to Spend Inference-Time Compute in Chunked Sequence Generators

Identifying Implementation Bugs in Machine Learning based Image Classifiers using Metamorphic Testing

Differential Privacy Meets Fixed Parameter Tractability: Algorithms and Lower Bounds

Quantum lower bounds for the collision and the element distinctness problems

Detection Algorithms for Communication Systems Using Deep Learning

Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Order elevation of directly self-starting sub-step implicit integrators for transient dynamics

Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation

Towards More Practical Adversarial Attacks on Graph Neural Networks

MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation