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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68,341 to 68,400 of 104,395

Zombie Agents: Persistent Control of Self-Evolving LLM Agents via Self-Reinforcing Injections
Xianglin Yang, Yufei He, Shuo Ji +2
cs.CRcs.AIarXiv:2602.15654v22026
A $C^1$ virtual element method for the Cahn-Hilliard equation with polygonal meshes
Paola F. Antonietti, Lourenco Beirao da Veiga, Simone Scacchi +1
math.NAarXiv:1502.03259v12015
Auditing and Repairing LLM-as-Judge Failures in a Production Text-to-SQL Pipeline
Haowei Liu, Hsin-Tai Wu, Yi Fang
cs.CLcs.LGarXiv:2609.30290v12026
The Cognitive Revolution in Interpretability: From Explaining Behavior to Interpreting Representations and Algorithms
Adam Davies, Ashkan Khakzar
cs.AIarXiv:2408.05859v12024
Nested Slice Sampling: Vectorized Nested Sampling for GPU-Accelerated Inference
David Yallup, Namu Kroupa, Will Handley
stat.COcs.LGstat.MLarXiv:2601.23252v22026
If the brain were so simple: Information-based drivers of intelligence and their interaction through an n-body-inspired framework
Brett J. Kagan, Johnson Zhou, Forough Habibollahi +1
q-bio.NCcs.ITmath.ITarXiv:2610.11142v12026
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
Yifei Zhang, Hao Zhu, Zixing Song +2
cs.LGcs.AIcs.CVarXiv:2212.01026v12022
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
Wei Huang, Yangdong Liu, Haotong Qin +5
cs.LGcs.AIcs.CLarXiv:2402.04291v22024
Improved Memory-Bounded Dynamic Programming for Decentralized POMDPs
Sven Seuken, Shlomo Zilberstein
cs.AIarXiv:1206.5295v12012
Both Semantics and Reconstruction Matter: Making Representation Encoders Ready for Text-to-Image Generation and Editing
Shilong Zhang, He Zhang, Zhifei Zhang +11
cs.CVarXiv:2512.17909v12025
Guiding Pretraining in Reinforcement Learning with Large Language Models
Yuqing Du, Olivia Watkins, Zihan Wang +5
cs.LGcs.AIcs.CLarXiv:2302.06692v22023
The scaling of human interactions with city size
Markus Schläpfer, Luis M. A. Bettencourt, Sebastian Grauwin +5
physics.soc-phcs.SIphysics.data-anarXiv:1210.5215v32012
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models
Kaichen Zhang, Bo Li, Peiyuan Zhang +8
cs.CLcs.CVarXiv:2407.12772v22024
PersuaRL: Reinforcement Learning-Driven Multi-Expert Selection for Persuasive Dialogue Generation in Insurance
Rohan Kirti, Akash Ghosh, Aryan Vats +5
cs.CLarXiv:2609.01188v12026
Movable-Element STAR-RIS for Integrated Sensing and Communication: Architectures, Opportunities, and Practical Challenges
Wali Ullah Khan, Muhammad Adil
cs.ETarXiv:2610.00145v12026
FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts
Yichen Gong, Delong Ran, Jinyuan Liu +5
cs.CRcs.AIcs.CLarXiv:2311.05608v32023
Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence
Alexander Hoyle, Pranav Goel, Denis Peskov +3
cs.CLcs.LGarXiv:2107.02173v32021
Beyond Imitation: Reinforcement Learning for Active Latent Planning
Zhi Zheng, Wee Sun Lee
cs.AIarXiv:2601.21598v12026
Solving Imperfect-Information Games via Discounted Regret Minimization
Noam Brown, Tuomas Sandholm
cs.GTcs.AIarXiv:1809.04040v32018
Block Oriented Programming: Automating Data-Only Attacks
Kyriakos Ispoglou, Bader AlBassam, Trent Jaeger +1
cs.CRarXiv:1805.04767v22018
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks
Guokun Lai, Wei-Cheng Chang, Yiming Yang +1
cs.LGarXiv:1703.07015v32017
Image Super-Resolution as a Defense Against Adversarial Attacks
Aamir Mustafa, Salman H. Khan, Munawar Hayat +2
cs.CVarXiv:1901.01677v22019
A Coordinated Approach to Channel Estimation in Large-scale Multiple-antenna Systems
Haifan Yin, David Gesbert, Miltiades Filippou +1
cs.ITarXiv:1203.5924v22012
SeKV: Resolution-Adaptive KV Cache with Hierarchical Semantic Memory for Long-Context LLM Inference
Amirhossein Abaskohi, Giuseppe Carenini, Peter West +1
cs.CLarXiv:2606.31145v12026
Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems
Thomas Beckers, Dana Kulić, Sandra Hirche
cs.LGeess.SYstat.MLarXiv:1806.07190v22018
The Limitations of Deep Learning in Adversarial Settings
Nicolas Papernot, Patrick McDaniel, Somesh Jha +3
cs.CRcs.LGcs.NEarXiv:1511.07528v12015
Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery
Zhiwei Li, Huanfeng Shen, Huifang Li +3
cs.CVarXiv:1606.05415v42016
Minimax hypothesis testing for curve registration
Olivier Collier
math.STarXiv:1109.1244v22011
A systematic review of EEG source localization techniques and their applications on diagnosis of brain abnormalities
Shiva Asadzadeh, Tohid Yousefi Rezaii, Soosan Beheshti +2
eess.SParXiv:1910.07980v12019
RefAM: Attention Magnets for Zero-Shot Referral Segmentation
Anna Kukleva, Enis Simsar, Alessio Tonioni +4
cs.CVarXiv:2509.22650v32025
PICPIs: Prediction-Interval-Conditional Prediction Intervals
Xuelin Yang, Baihe Huang, Yilong Hou +2
stat.MLcs.AIcs.LGarXiv:2609.25388v12026
Algorithms for nonnegative matrix factorization with the beta-divergence
Cédric Févotte, Jérôme Idier
cs.LGarXiv:1010.1763v32010
DeepDTA: Deep Drug-Target Binding Affinity Prediction
Hakime Öztürk, Elif Ozkirimli, Arzucan Özgür
stat.MLcs.LGarXiv:1801.10193v22018
Latent-Space No-Arbitrage Geometry of Generative Models for Implied Volatility Surfaces
Jing Wang, Shuaiqiang Liu, Cornelis Vuik
q-fin.CPcs.AIcs.LGarXiv:2609.00332v12026
The Risks of Invariant Risk Minimization
Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
cs.LGcs.AIstat.MLarXiv:2010.05761v22020
Neuro-Formal Verification: Agentic Language-Agnostic Formal Program Reasoning
Shuvendu K. Lahiri
cs.SEcs.PLarXiv:2608.21516v12026
Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer
Jiwoo Chung, Sangeek Hyun, Jae-Pil Heo
cs.CVarXiv:2312.09008v22023
Repairing Deep Neural Networks: Fix Patterns and Challenges
Md Johirul Islam, Rangeet Pan, Giang Nguyen +1
cs.SEarXiv:2005.00972v12020
Algorand
Jing Chen, Silvio Micali
cs.CRcs.DCarXiv:1607.01341v92016
Neural News Recommendation with Attentive Multi-View Learning
Chuhan Wu, Fangzhao Wu, Mingxiao An +3
cs.CLcs.IRcs.LGarXiv:1907.05576v12019
Noise2Void - Learning Denoising from Single Noisy Images
Alexander Krull, Tim-Oliver Buchholz, Florian Jug
cs.CVarXiv:1811.10980v22018
Getting Better at Working With You: Compiling User Corrections into Runtime Enforcement for Coding Agents
Yujun Zhou, Kehan Guo, Haomin Zhuang +8
cs.LGcs.CLarXiv:2606.13174v12026
LLMSecEval: A Dataset of Natural Language Prompts for Security Evaluations
Catherine Tony, Markus Mutas, Nicolás E. Díaz Ferreyra +1
cs.SEcs.IRcs.LGarXiv:2303.09384v12023
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang +1
cs.LGcs.CLstat.MLarXiv:1911.09419v32019
Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry
Zhuochun Li, Yong Zhang, Ming Li +8
cs.CLcs.AIcs.LGarXiv:2601.22588v22026
Microwave amplification with nanomechanical resonators
F. Massel, T. T. Heikkilä, J. -M. Pirkkalainen +4
cond-mat.mes-hallquant-pharXiv:1107.4903v12011
DeepPermNet: Visual Permutation Learning
Rodrigo Santa Cruz, Basura Fernando, Anoop Cherian +1
cs.CVarXiv:1704.02729v12017
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection
Jiaxi Wu, Songtao Liu, Di Huang +1
cs.CVarXiv:2007.09384v12020
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer
Haonan Wang, Peng Cao, Jiaqi Wang +1
cs.CVcs.LGeess.IVarXiv:2109.04335v32021
LLM-Based Penetration Testing in the Presence of Honeypots
Xinhong Xie, Piyush Nagasubramaniam, Neeraj Karamchandani +1
cs.CRarXiv:2609.08093v12026
LEAP: Likelihood Elicitation and Aggregation for LLM-based Probabilistic Forecasting
Yufei Chen, Yiran Zhao, Xiaogang Xu +3
cs.AIarXiv:2609.01337v12026
Variational Quantum State Diagonalization
Ryan LaRose, Arkin Tikku, Étude O'Neel-Judy +2
quant-pharXiv:1810.10506v22018
Personalization as Inverse Planning: Learning Latent Design Intents for Agentic Slide Generation via Structural Denoising
Tianci Liu, Zihan Dong, Linjun Zhang +5
cs.AIarXiv:2607.00407v12026
On the Effect of Dropping Layers of Pre-trained Transformer Models
Hassan Sajjad, Fahim Dalvi, Nadir Durrani +1
cs.CLcs.LGarXiv:2004.03844v32020
SwitchNet: a neural network model for forward and inverse scattering problems
Yuehaw Khoo, Lexing Ying
math.NAcs.LGarXiv:1810.09675v12018
Social Network Sensors for Early Detection of Contagious Outbreaks
Nicholas A. Christakis, James H. Fowler
physics.soc-phq-bio.OTarXiv:1004.4792v12010
Joint Embedding of Words and Labels for Text Classification
Guoyin Wang, Chunyuan Li, Wenlin Wang +5
cs.CLcs.LGarXiv:1805.04174v12018
Neural Ideals and Neural Codes: An Algebraic Framework for Neural Network Classification and Feature Interpretation
Venkata Subbaiah Yerrapati, Rahul Dixit, Ajay Kumar Shukla
cs.LGmath.ACarXiv:2609.30279v12026
From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning
Chen Shani, Liron Soffer, Dan Jurafsky +2
cs.CLcs.AIcs.ITarXiv:2505.17117v72025
Orientation-Robust Latent Motion Trajectory Learning for Annotation-free Cardiac Phase Detection in Fetal Echocardiography
Yingyu Yang, Qianye Yang, Can Peng +4
eess.IVcs.CVarXiv:2602.06761v22026

Every paper with a summary

Zombie Agents: Persistent Control of Self-Evolving LLM Agents via Self-Reinforcing Injections

A $C^1$ virtual element method for the Cahn-Hilliard equation with polygonal meshes

Auditing and Repairing LLM-as-Judge Failures in a Production Text-to-SQL Pipeline

The Cognitive Revolution in Interpretability: From Explaining Behavior to Interpreting Representations and Algorithms

Nested Slice Sampling: Vectorized Nested Sampling for GPU-Accelerated Inference

If the brain were so simple: Information-based drivers of intelligence and their interaction through an n-body-inspired framework

Spectral Feature Augmentation for Graph Contrastive Learning and Beyond

BiLLM: Pushing the Limit of Post-Training Quantization for LLMs

Improved Memory-Bounded Dynamic Programming for Decentralized POMDPs

Both Semantics and Reconstruction Matter: Making Representation Encoders Ready for Text-to-Image Generation and Editing

Guiding Pretraining in Reinforcement Learning with Large Language Models

The scaling of human interactions with city size

LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

PersuaRL: Reinforcement Learning-Driven Multi-Expert Selection for Persuasive Dialogue Generation in Insurance

Movable-Element STAR-RIS for Integrated Sensing and Communication: Architectures, Opportunities, and Practical Challenges

FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts

Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence

Beyond Imitation: Reinforcement Learning for Active Latent Planning

Solving Imperfect-Information Games via Discounted Regret Minimization

Block Oriented Programming: Automating Data-Only Attacks

Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks

Image Super-Resolution as a Defense Against Adversarial Attacks

A Coordinated Approach to Channel Estimation in Large-scale Multiple-antenna Systems

SeKV: Resolution-Adaptive KV Cache with Hierarchical Semantic Memory for Long-Context LLM Inference

Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems

The Limitations of Deep Learning in Adversarial Settings

Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery

Minimax hypothesis testing for curve registration

A systematic review of EEG source localization techniques and their applications on diagnosis of brain abnormalities

RefAM: Attention Magnets for Zero-Shot Referral Segmentation

PICPIs: Prediction-Interval-Conditional Prediction Intervals

Algorithms for nonnegative matrix factorization with the beta-divergence

DeepDTA: Deep Drug-Target Binding Affinity Prediction

Latent-Space No-Arbitrage Geometry of Generative Models for Implied Volatility Surfaces

The Risks of Invariant Risk Minimization

Neuro-Formal Verification: Agentic Language-Agnostic Formal Program Reasoning

Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer

Repairing Deep Neural Networks: Fix Patterns and Challenges

Algorand

Neural News Recommendation with Attentive Multi-View Learning

Noise2Void - Learning Denoising from Single Noisy Images

Getting Better at Working With You: Compiling User Corrections into Runtime Enforcement for Coding Agents

LLMSecEval: A Dataset of Natural Language Prompts for Security Evaluations

Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction

Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry

Microwave amplification with nanomechanical resonators

DeepPermNet: Visual Permutation Learning

Multi-Scale Positive Sample Refinement for Few-Shot Object Detection

UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer

LLM-Based Penetration Testing in the Presence of Honeypots

LEAP: Likelihood Elicitation and Aggregation for LLM-based Probabilistic Forecasting

Variational Quantum State Diagonalization

Personalization as Inverse Planning: Learning Latent Design Intents for Agentic Slide Generation via Structural Denoising

On the Effect of Dropping Layers of Pre-trained Transformer Models

SwitchNet: a neural network model for forward and inverse scattering problems

Social Network Sensors for Early Detection of Contagious Outbreaks

Joint Embedding of Words and Labels for Text Classification

Neural Ideals and Neural Codes: An Algebraic Framework for Neural Network Classification and Feature Interpretation

From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning

Orientation-Robust Latent Motion Trajectory Learning for Annotation-free Cardiac Phase Detection in Fetal Echocardiography