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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39,241 to 39,300 of 120,076

MAAT: Multi-phase Adapter-Aware Targeted Unlearning
Suryash Yagnik, Shubham Gaur, Saksham Thakur +3
cs.LGcs.CLarXiv:2605.30514v12026
InfoPO: Information-Driven Policy Optimization for User-Centric Agents
Fanqi Kong, Jiayi Zhang, Mingyi Deng +3
cs.AIarXiv:2603.00656v22026
Investigating the Catastrophic Forgetting in Multimodal Large Language Models
Yuexiang Zhai, Shengbang Tong, Xiao Li +4
cs.CLcs.AIcs.LGarXiv:2309.10313v42023
LLM4SR: A Survey on Large Language Models for Scientific Research
Ziming Luo, Zonglin Yang, Zexin Xu +2
cs.CLcs.DLarXiv:2501.04306v12025
RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning
Jonas Gehring, Kunhao Zheng, Jade Copet +4
cs.CLcs.AIarXiv:2410.02089v22024
Multi-Stage Multi-Task Feature Learning
Pinghua Gong, Jieping Ye, Changshui Zhang
stat.MLarXiv:1210.5806v12012
What Are You Doing? Effects of Intermediate Feedback from Agentic LLM In-Car Assistants During Multi-Step Processing
Johannes Kirmayr, Raphael Wennmacher, Khanh Huynh +3
cs.HCarXiv:2602.15569v22026
Scanvas: Discovering and Developing Synergistic Opportunities in Generative Design Spaces
Yaqing Yang, Aniket Kittur, Hongyu Howie Wang +4
cs.HCarXiv:2609.34062v12026
Gated Condition Injection without Multimodal Attention: Towards Controllable Linear-Attention Transformers
Yuhe Liu, Zhenxiong Tan, Yujia Hu +2
cs.CVarXiv:2603.27666v12026
Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks
Richard F. Betzel, Makoto Fukushima, Ye He +2
q-bio.NCarXiv:1511.06352v12015
Latent Refinement Decoding: Enhancing Diffusion-Based Language Models by Refining Belief States
Qinglin Zhu, Yizhen Yao, Runcong Zhao +7
cs.CLarXiv:2510.11052v22025
Exploiting Vulnerabilities: Universal Adversarial Attacks on Vision-Language-Action Models in Robotics
Songhua Yang, Ziyu Liu, Yuanwei Liu +5
cs.ROcs.CRcs.CVarXiv:2609.39178v12026
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks
Adrià Recasens, Petr Kellnhofer, Simon Stent +2
cs.CVarXiv:1809.03355v12018
When Do Supervised UQ Ensembles Improve LLM Hallucination Detection? A Robustness Study
Mohit Singh Chauhan, Vipin Gyanchandani, Dylan Bouchard
cs.LGcs.AIcs.CLarXiv:2608.24492v12026
Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer
Songwei Ge, Thomas Hayes, Harry Yang +5
cs.CVcs.AIarXiv:2204.03638v42022
Hypothesis testing with e-values
Aaditya Ramdas, Ruodu Wang
math.STstat.MEarXiv:2410.23614v62024
Learning physical descriptors for materials science by compressed sensing
Luca M. Ghiringhelli, Jan Vybiral, Emre Ahmetcik +4
cond-mat.mtrl-sciphysics.data-anarXiv:1612.04285v12016
Bernstein-Vazirani Networks: Quantum Machine Learning by Interference
Natacha Kuete Meli, Tolga Birdal, Prayag Tiwari +2
quant-phcs.AIcs.CVarXiv:2608.19043v12026
Deep Biaffine Attention for Neural Dependency Parsing
Timothy Dozat, Christopher D. Manning
cs.CLcs.NEarXiv:1611.01734v32016
ARGUS: Defending LLM Agents Against Context-Aware Prompt Injection
Shihao Weng, Yang Feng, Jinrui Zhang +3
cs.CRcs.SEarXiv:2605.03378v22026
Functional Degeneracy in Neural Networks: Measurement and Pruning
Maria Matveev, Pascal Esser, Ayush Bharadwaj +2
cs.LGarXiv:2608.30741v12026
Convergence Analysis of STORM Under Different Geometries
Wei Jiang, Yibo Wang, Wenhao Yang +3
math.OCcs.LGarXiv:2610.01599v12026
STAPLE: Static Sparse Upcycling of Pretrained Checkpoints via Embedding Modules
Ranajoy Sadhukhan, Euijin Hong, Sheng Cao +9
cs.LGarXiv:2610.12599v12026
Secure Transmission with Multiple Antennas II: The MIMOME Wiretap Channel
Ashish Khisti, Gregory Wornell
cs.ITcs.CRarXiv:1006.5879v12010
Uncertainty propagation in auto-regressive random neural network models
Janice Adams, Daniele Venturi
stat.MLcs.LGcs.NEarXiv:2608.20483v12026
HP-Edit: A Human-Preference Post-Training Framework for Image Editing
Fan Li, Chonghuinan Wang, Lina Lei +9
cs.CVcs.AIarXiv:2604.19406v12026
Fluid Antenna Multiple Access for Noise Modulation
Hadi Zayyani, Felipe A. P. de Figueiredo
cs.ITarXiv:2608.30104v12026
MI-Distillation: Selecting from Model-Interpolated Instruct-Reasoning Data Spectrum for Chain-of-Thought Distillation
Yangsong Lan, Renkai Hu, HongKai Zheng +4
cs.CLcs.AIarXiv:2608.29623v12026
MARS: Detecting Unauthorized Variable Manipulations in Multi-Application PLC Runtimes
Syed Ghazanfar Abbas, Dongyan Xu
cs.CRarXiv:2609.06306v12026
AI-Assisted GPU optimization of the Stochastic Variational Method for Few-Body Boson System
Noritaka Shimizu, Shigeyoshi Aoyama, Yusuke Tsunoda +1
physics.comp-phcs.DCnucl-tharXiv:2610.02745v12026
Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality
Nitay Calderon, Eyal Ben-David, Zorik Gekhman +2
cs.CLcs.AIarXiv:2602.14080v22026
Fast Odd-Permutation Sums in Characteristic Two and Shortest Even Directed Cycles
Hanqing Li
cs.DSarXiv:2609.12021v22026
Hessian-based Analysis of Large Batch Training and Robustness to Adversaries
Zhewei Yao, Amir Gholami, Qi Lei +2
cs.CVcs.LGstat.MLarXiv:1802.08241v42018
Semidiscrete Modeling of Dislocation-Disclination Systems: Finite Element Formulation
Pierluigi Cesana, Edoardo Fabbrini, Andrés A. León Baldelli +1
math.NAcond-mat.mtrl-scics.NAarXiv:2609.29614v12026
Attestream: Usage-Aware Intermittent Data Distribution with Verifiable Lifecycle Provenance for Machine-Learning Data Streams
Kentaro Oda
cs.CRcs.DCarXiv:2609.07641v12026
Dynamic Positional Attention Modulation for Parameter-Efficient Fine-Tuning of Large Language Models
Dayan Pan, Jingyuan Wang, Xie Yu
cs.CLcs.AIarXiv:2610.07848v12026
REVES: REvision and VErification--Augmented Training for Test-Time Scaling
Yuanxin Liu, Ruida Zhou, Xinyan Zhao +6
cs.LGcs.CLarXiv:2606.18910v12026
A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation
Zhihong Chen, Maya Varma, Justin Xu +20
cs.CVcs.CLarXiv:2401.12208v22024
Brain Tumor Segmentation with Deep Neural Networks
Mohammad Havaei, Axel Davy, David Warde-Farley +6
cs.CVcs.AIarXiv:1505.03540v32015
Dialogue Injection Attack: Jailbreaking LLMs through Context Manipulation
Wenlong Meng, Fan Zhang, Wendao Yao +4
cs.CLarXiv:2503.08195v12025
ADaPT: As-Needed Decomposition and Planning with Language Models
Archiki Prasad, Alexander Koller, Mareike Hartmann +4
cs.AIcs.CLcs.LGarXiv:2311.05772v22023
Who Said Neural Networks Aren't Linear?
Nimrod Berman, Assaf Hallak, Assaf Shocher
cs.LGarXiv:2510.08570v22025
Online Material Estimation for Conditioned Diffusion Policy in Shaping Deformable Linear Objects
Ryunosuke Yamada, Tomohiro Motoda, Yukiyasu Domae +1
cs.ROarXiv:2609.12634v12026
Efficient One-to-Many Translation with Joint Multi-Stream Diffusion
Yiwen Guan, Jacob Whitehill
cs.CLcs.AIarXiv:2609.16312v12026
COSED: Setting the Bar for Open-Vocabulary Sound Event Detection
Florian Schmid, Sanjeel Parekh, Chi Ian Tang +5
eess.ASarXiv:2609.30083v12026
APEX: A Decoupled Memory-based Explorer for Asynchronous Aerial Object Goal Navigation
Daoxuan Zhang, Ping Chen, Xiaobo Xia +4
cs.ROcs.CVarXiv:2602.00551v12026
Parason: Revealing Subtask and Trial Parallelism in LLM Reasoning
Zhengyang Zhang, Zijian Zhang, Jiaxuan Gao +4
cs.AIarXiv:2608.24658v12026
Representation Learning for Tabular Data: A Comprehensive Survey
Jun-Peng Jiang, Si-Yang Liu, Hao-Run Cai +2
cs.LGarXiv:2504.16109v12025
Control Strategies for Multi-Species Wasserstein Gradient Flows
Dante Kalise, Lucas M. Moschen, Grigorios A. Pavliotis
math.OCcs.NAmath.AParXiv:2609.11422v12026
Showing versus Doing: Teaching by Demonstration
Mark K. Ho, Michael L. Littman, James MacGlashan +2
cs.LGcs.AIcs.HCarXiv:2610.14004v12026
SafeRestore: Detector-Relative Risk Certificates for Selective Industrial Image Restoration
Shaoliang Yang, Jun Wang
cs.CVstat.AParXiv:2609.03475v12026
Robust Decentralized Multi-Satellite Massive MIMO Transmission via Knowledge Distillation
Wenjing Cao, Zheng Lin, Yafei Wang +5
eess.SParXiv:2608.29620v12026
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Yinlam Chow, Aviv Tamar, Shie Mannor +1
cs.AImath.OCarXiv:1506.02188v12015
Embedding Models for Stance-Aware Argument Retrieval
Angelo Sparacino, Francesca Toni, Adam Dejl
cs.CLcs.AIarXiv:2608.28283v12026
Optimal Hamiltonian Parameter Estimation in the Presence of Nuisance Parameters
Zhiyao Hu, Haidong Yuan, Liang Jiang +1
quant-phcs.ITmath.ITarXiv:2609.12857v12026
Democratizing LEO Satellite Network Measurement
Liz Izhikevich, Manda Tran, Katherine Izhikevich +2
cs.NIarXiv:2306.07469v22023
Cancerous Backdoor Attack: Gradual Activation via Invisible Tokens and A Stage Controller
Tahmid Imtiaz Imu, Emama Nahid, Prodipta Sen Amartya +5
cs.CRcs.AIcs.CLarXiv:2610.12644v12026
Empirical Vulnerability Analysis of Automated Smart Contracts Security Testing on Blockchains
Reza M. Parizi, Ali Dehghantanha, Kim-Kwang Raymond Choo +1
cs.CRarXiv:1809.02702v12018
Generalized Federated Learning via Sharpness Aware Minimization
Zhe Qu, Xingyu Li, Rui Duan +3
cs.LGarXiv:2206.02618v12022
FaceKit: a Toolkit for Interpretable Facial Phenotyping, Synthetic Image Generation and Privacy Analysis in Rare Diseases
Hongzhuo Chen, Zhanliang Wang, Florent Pollet +9
q-bio.QMcs.CVarXiv:2610.09288v12026

Every paper with a summary

MAAT: Multi-phase Adapter-Aware Targeted Unlearning

InfoPO: Information-Driven Policy Optimization for User-Centric Agents

Investigating the Catastrophic Forgetting in Multimodal Large Language Models

LLM4SR: A Survey on Large Language Models for Scientific Research

RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning

Multi-Stage Multi-Task Feature Learning

What Are You Doing? Effects of Intermediate Feedback from Agentic LLM In-Car Assistants During Multi-Step Processing

Scanvas: Discovering and Developing Synergistic Opportunities in Generative Design Spaces

Gated Condition Injection without Multimodal Attention: Towards Controllable Linear-Attention Transformers

Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks

Latent Refinement Decoding: Enhancing Diffusion-Based Language Models by Refining Belief States

Exploiting Vulnerabilities: Universal Adversarial Attacks on Vision-Language-Action Models in Robotics

Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks

When Do Supervised UQ Ensembles Improve LLM Hallucination Detection? A Robustness Study

Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer

Hypothesis testing with e-values

Learning physical descriptors for materials science by compressed sensing

Bernstein-Vazirani Networks: Quantum Machine Learning by Interference

Deep Biaffine Attention for Neural Dependency Parsing

ARGUS: Defending LLM Agents Against Context-Aware Prompt Injection

Functional Degeneracy in Neural Networks: Measurement and Pruning

Convergence Analysis of STORM Under Different Geometries

STAPLE: Static Sparse Upcycling of Pretrained Checkpoints via Embedding Modules

Secure Transmission with Multiple Antennas II: The MIMOME Wiretap Channel

Uncertainty propagation in auto-regressive random neural network models

HP-Edit: A Human-Preference Post-Training Framework for Image Editing

Fluid Antenna Multiple Access for Noise Modulation

MI-Distillation: Selecting from Model-Interpolated Instruct-Reasoning Data Spectrum for Chain-of-Thought Distillation

MARS: Detecting Unauthorized Variable Manipulations in Multi-Application PLC Runtimes

AI-Assisted GPU optimization of the Stochastic Variational Method for Few-Body Boson System

Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality

Fast Odd-Permutation Sums in Characteristic Two and Shortest Even Directed Cycles

Hessian-based Analysis of Large Batch Training and Robustness to Adversaries

Semidiscrete Modeling of Dislocation-Disclination Systems: Finite Element Formulation

Attestream: Usage-Aware Intermittent Data Distribution with Verifiable Lifecycle Provenance for Machine-Learning Data Streams

Dynamic Positional Attention Modulation for Parameter-Efficient Fine-Tuning of Large Language Models

REVES: REvision and VErification--Augmented Training for Test-Time Scaling

A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation

Brain Tumor Segmentation with Deep Neural Networks

Dialogue Injection Attack: Jailbreaking LLMs through Context Manipulation

ADaPT: As-Needed Decomposition and Planning with Language Models

Who Said Neural Networks Aren't Linear?

Online Material Estimation for Conditioned Diffusion Policy in Shaping Deformable Linear Objects

Efficient One-to-Many Translation with Joint Multi-Stream Diffusion

COSED: Setting the Bar for Open-Vocabulary Sound Event Detection

APEX: A Decoupled Memory-based Explorer for Asynchronous Aerial Object Goal Navigation

Parason: Revealing Subtask and Trial Parallelism in LLM Reasoning

Representation Learning for Tabular Data: A Comprehensive Survey

Control Strategies for Multi-Species Wasserstein Gradient Flows

Showing versus Doing: Teaching by Demonstration

SafeRestore: Detector-Relative Risk Certificates for Selective Industrial Image Restoration

Robust Decentralized Multi-Satellite Massive MIMO Transmission via Knowledge Distillation

Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach

Embedding Models for Stance-Aware Argument Retrieval

Optimal Hamiltonian Parameter Estimation in the Presence of Nuisance Parameters

Democratizing LEO Satellite Network Measurement

Cancerous Backdoor Attack: Gradual Activation via Invisible Tokens and A Stage Controller

Empirical Vulnerability Analysis of Automated Smart Contracts Security Testing on Blockchains

Generalized Federated Learning via Sharpness Aware Minimization

FaceKit: a Toolkit for Interpretable Facial Phenotyping, Synthetic Image Generation and Privacy Analysis in Rare Diseases