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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21,541 to 21,600 of 61,365

Learning Local Equivariant Representations for Large-Scale Atomistic Dynamics
Albert Musaelian, Simon Batzner, Anders Johansson +4
physics.comp-phcond-mat.mtrl-scics.LGarXiv:2204.05249v12022
The role of quantum information in thermodynamics --- a topical review
John Goold, Marcus Huber, Arnau Riera +2
quant-pharXiv:1505.07835v32015
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Takeru Miyato, Shin-ichi Maeda, Masanori Koyama +1
stat.MLcs.LGarXiv:1704.03976v22017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
Briland Hitaj, Giuseppe Ateniese, Fernando Perez-Cruz
cs.CRcs.LGstat.MLarXiv:1702.07464v32017
OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale
Haoyang Li, Shang Wu, Xiaokang Zhang +9
cs.CLcs.DBarXiv:2503.02240v22025
Comparing deep neural networks against humans: object recognition when the signal gets weaker
Robert Geirhos, David H. J. Janssen, Heiko H. Schütt +3
cs.CVq-bio.NCstat.MLarXiv:1706.06969v22017
The theory of variational hybrid quantum-classical algorithms
Jarrod R. McClean, Jonathan Romero, Ryan Babbush +1
quant-phphysics.chem-pharXiv:1509.04279v12015
Generalized Multiscale Finite Element Methods (GMsFEM)
Yalchin Efendiev, Juan Galvis, Thomas Y. Hou
math.NAcs.CEmath.AParXiv:1301.2866v22013
Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective
Danielle Bragg, Oscar Koller, Mary Bellard +9
cs.CVcs.CLcs.CYarXiv:1908.08597v12019
Barren plateaus in quantum neural network training landscapes
Jarrod R. McClean, Sergio Boixo, Vadim N. Smelyanskiy +2
quant-phcs.LGphysics.chem-pharXiv:1803.11173v12018
Do Deep Nets Really Need to be Deep?
Lei Jimmy Ba, Rich Caruana
cs.LGcs.NEarXiv:1312.6184v72013
A Study of NK Landscapes' Basins and Local Optima Networks
Gabriela Ochoa, Marco Tomassini, Sébastien Verel +1
cs.NEarXiv:0810.3484v12008
Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey
Yaoting Wang, Shengqiong Wu, Yuecheng Zhang +4
cs.CVarXiv:2503.12605v22025
Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
Tianxin Wei, Noveen Sachdeva, Benjamin Coleman +12
cs.CLcs.AIarXiv:2511.20857v22025
Quantum spectral methods for differential equations
Andrew M. Childs, Jin-Peng Liu
quant-phmath.NAarXiv:1901.00961v12019
Loss is its own Reward: Self-Supervision for Reinforcement Learning
Evan Shelhamer, Parsa Mahmoudieh, Max Argus +1
cs.LGarXiv:1612.07307v22016
Automated Latent Fingerprint Recognition
Kai Cao, Anil K. Jain
cs.CVarXiv:1704.01925v12017
Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs
Siyan Zhao, Mingyi Hong, Yang Liu +2
cs.LGcs.CLarXiv:2502.09597v12025
Making Every Tool Call Count: Necessary Tool-Evidence Path Rewards for Agentic Vision-Language Models
Xingming Long, Yu Liu, Zhiwei Yang +7
cs.AIarXiv:2609.03493v12026
Locked at the Entrance, Open Inside: Where RLVR Narrows the Solution Space
Qiancheng Zhou, Ruizhe Li
cs.LGcs.AIcs.CLarXiv:2608.29188v12026
Discovering Hidden Factors of Variation in Deep Networks
Brian Cheung, Jesse A. Livezey, Arjun K. Bansal +1
cs.LGcs.CVcs.NEarXiv:1412.6583v42014
Gradients Know What Outcomes Don't: Unlocking Reinforcement Learning for LLM Reasoning with Gradient-Aligned Rewards
Leqi Zheng, Jinbo Su, Fang Niu +8
cs.LGarXiv:2609.03342v12026
MAI-UI Technical Report: Real-World Centric Foundation GUI Agents
Hanzhang Zhou, Xu Zhang, Panrong Tong +8
cs.CVarXiv:2512.22047v12025
Integrated Sensing and Communications for V2I Networks: Dynamic Predictive Beamforming for Extended Vehicle Targets
Zhen Du, Fan Liu, Weijie Yuan +4
eess.SParXiv:2111.10152v22021
Everyday algorithm auditing: Understanding the power of everyday users in surfacing harmful algorithmic behaviors
Hong Shen, Alicia DeVos, Motahhare Eslami +1
cs.HCcs.CYarXiv:2105.02980v22021
Intriguing properties of synthetic images: from generative adversarial networks to diffusion models
Riccardo Corvi, Davide Cozzolino, Giovanni Poggi +2
cs.CVarXiv:2304.06408v22023
Machine Teaching: A New Paradigm for Building Machine Learning Systems
Patrice Y. Simard, Saleema Amershi, David M. Chickering +8
cs.LGcs.AIcs.HCarXiv:1707.06742v32017
Chained Predictions Using Convolutional Neural Networks
Georgia Gkioxari, Alexander Toshev, Navdeep Jaitly
cs.CVarXiv:1605.02346v22016
Phantom: Subject-consistent video generation via cross-modal alignment
Lijie Liu, Tianxiang Ma, Bingchuan Li +6
cs.CVcs.AIarXiv:2502.11079v22025
Fiber Bundle Codes: Breaking the $N^{1/2} \operatorname{polylog}(N)$ Barrier for Quantum LDPC Codes
Matthew B. Hastings, Jeongwan Haah, Ryan O'Donnell
quant-phcs.ITmath.COarXiv:2009.03921v22020
Efficient Core Maintenance in Large Dynamic Graphs
Rong-Hua Li, Jeffrey Xu Yu
cs.DScs.DBcs.SIarXiv:1207.4567v12012
Magma: A Foundation Model for Multimodal AI Agents
Jianwei Yang, Reuben Tan, Qianhui Wu +10
cs.CVcs.AIcs.HCarXiv:2502.13130v12025
Stabilizing Camera-Controlled Novel View Synthesis at Inference Time
Prajwal Singh, Arjun Badola, Seema Kumari +2
cs.CVarXiv:2609.03639v12026
dKV-Cache: The Cache for Diffusion Language Models
Xinyin Ma, Runpeng Yu, Gongfan Fang +1
cs.CLarXiv:2505.15781v12025
A Survey of Context Engineering for Large Language Models
Lingrui Mei, Jiayu Yao, Yuyao Ge +12
cs.CLarXiv:2507.13334v22025
RoboTok: An Internet-Scale Data Engine for Human Demonstration Retrieval and Dexterous Manipulation Learning
Howard Qian, Yiting Chen, Yunfei Xie +6
cs.CVcs.ROarXiv:2609.03199v12026
Adversarial Generation of Continuous Images
Ivan Skorokhodov, Savva Ignatyev, Mohamed Elhoseiny
cs.CVcs.AIcs.LGarXiv:2011.12026v22020
The Natural Language Interaction Protocol and Standard for AI Agents
Luyi Xing, Rasit Onur Topaloglu, Ranjan Sinha +9
cs.AIarXiv:2609.04135v12026
A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation
TRI LBM Team, Jose Barreiros, Andrew Beaulieu +79
cs.ROarXiv:2507.05331v12025
A Coordinate-Descent Framework to Design Low PSL/ISL Sequences
M. Alaee, A. Aubry, A. De Maio +2
cs.ITarXiv:1612.05880v12016
MMBERT: Multimodal BERT Pretraining for Improved Medical VQA
Yash Khare, Viraj Bagal, Minesh Mathew +3
cs.CVcs.CLcs.LGarXiv:2104.01394v12021
A Peer-Relative Representation Learning Framework for Energy Inefficiency Identification in Mobile Network Sites
Eliud Nyakweba Koto, Jaco du Toit, Adham Stoltz +1
cs.LGarXiv:2609.03809v12026
Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
Sangmin Bae, Yujin Kim, Reza Bayat +8
cs.CLcs.LGarXiv:2507.10524v32025
Weighted Low-rank Tensor Recovery for Hyperspectral Image Restoration
Yi Chang, Luxin Yan, Houzhang Fang +2
cs.CVarXiv:1709.00192v12017
Learning Plannable Representations with Causal InfoGAN
Thanard Kurutach, Aviv Tamar, Ge Yang +2
cs.LGcs.AIcs.CVarXiv:1807.09341v12018
LocAgent: Graph-Guided LLM Agents for Code Localization
Zhaoling Chen, Xiangru Tang, Gangda Deng +6
cs.SEcs.AIcs.CLarXiv:2503.09089v22025
R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE Agents
Naman Jain, Jaskirat Singh, Manish Shetty +3
cs.SEcs.CLcs.LGarXiv:2504.07164v12025
Revisiting Anchor Mechanisms for Temporal Action Localization
Le Yang, Houwen Peng, Dingwen Zhang +2
cs.CVarXiv:2008.09837v12020
Orb-v3: atomistic simulation at scale
Benjamin Rhodes, Sander Vandenhaute, Vaidotas Šimkus +4
cond-mat.mtrl-sciarXiv:2504.06231v22025
On the Additive FFT Techniques over Binary Extension Fields
Susanta Samanta, Mohammadtaghi Badakhshan, Guang Gong
cs.CRarXiv:2608.20855v12026
RuleMem: Active Rule Memory for Long-Term Conversational Agents
Xingyuan Zeng, Zuohan Wu, Quanming Yao +5
cs.CLcs.IRarXiv:2609.03915v12026
Agentic Reinforced Policy Optimization
Guanting Dong, Hangyu Mao, Kai Ma +11
cs.LGcs.AIcs.CLarXiv:2507.19849v12025
AdaptThink: Reasoning Models Can Learn When to Think
Jiajie Zhang, Nianyi Lin, Lei Hou +2
cs.CLcs.AIcs.LGarXiv:2505.13417v12025
Transfiver: Human-AI Co-Inference through a Shared Editable State
Minji Park, Seunghyun Yoon, Hyuk Lim
cs.AIcs.CLcs.HCarXiv:2609.03797v12026
OCTA-500: A Retinal Dataset for Optical Coherence Tomography Angiography Study
Mingchao Li, Kun Huang, Qiuzhuo Xu +7
eess.IVcs.CVarXiv:2012.07261v32020
The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections
Milad Nasr, Nicholas Carlini, Chawin Sitawarin +11
cs.LGcs.CRarXiv:2510.09023v12025
Trajectory-Based Co-Optimization of Arrival Scheduling and Descent Path Design in the Terminal Maneuvering Area
Yutian Pang, John-Paul Clarke
eess.SYarXiv:2609.03234v12026
Effective Test Generation Using Pre-trained Large Language Models and Mutation Testing
Arghavan Moradi Dakhel, Amin Nikanjam, Vahid Majdinasab +2
cs.SEarXiv:2308.16557v12023
From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
Jiacheng Liu, Chang Zou, Yuanhuiyi Lyu +2
cs.CVcs.AIarXiv:2503.06923v22025
Country-wide high-resolution vegetation height mapping with Sentinel-2
Nico Lang, Konrad Schindler, Jan Dirk Wegner
eess.IVcs.CVcs.LGarXiv:1904.13270v22019

Every paper with a summary

Learning Local Equivariant Representations for Large-Scale Atomistic Dynamics

The role of quantum information in thermodynamics --- a topical review

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning

OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Comparing deep neural networks against humans: object recognition when the signal gets weaker

The theory of variational hybrid quantum-classical algorithms

Generalized Multiscale Finite Element Methods (GMsFEM)

Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective

Barren plateaus in quantum neural network training landscapes

Do Deep Nets Really Need to be Deep?

A Study of NK Landscapes' Basins and Local Optima Networks

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory

Quantum spectral methods for differential equations

Loss is its own Reward: Self-Supervision for Reinforcement Learning

Automated Latent Fingerprint Recognition

Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs

Making Every Tool Call Count: Necessary Tool-Evidence Path Rewards for Agentic Vision-Language Models

Locked at the Entrance, Open Inside: Where RLVR Narrows the Solution Space

Discovering Hidden Factors of Variation in Deep Networks

Gradients Know What Outcomes Don't: Unlocking Reinforcement Learning for LLM Reasoning with Gradient-Aligned Rewards

MAI-UI Technical Report: Real-World Centric Foundation GUI Agents

Integrated Sensing and Communications for V2I Networks: Dynamic Predictive Beamforming for Extended Vehicle Targets

Everyday algorithm auditing: Understanding the power of everyday users in surfacing harmful algorithmic behaviors

Intriguing properties of synthetic images: from generative adversarial networks to diffusion models

Machine Teaching: A New Paradigm for Building Machine Learning Systems

Chained Predictions Using Convolutional Neural Networks

Phantom: Subject-consistent video generation via cross-modal alignment

Fiber Bundle Codes: Breaking the $N^{1/2} \operatorname{polylog}(N)$ Barrier for Quantum LDPC Codes

Efficient Core Maintenance in Large Dynamic Graphs

Magma: A Foundation Model for Multimodal AI Agents

Stabilizing Camera-Controlled Novel View Synthesis at Inference Time

dKV-Cache: The Cache for Diffusion Language Models

A Survey of Context Engineering for Large Language Models

RoboTok: An Internet-Scale Data Engine for Human Demonstration Retrieval and Dexterous Manipulation Learning

Adversarial Generation of Continuous Images

The Natural Language Interaction Protocol and Standard for AI Agents

A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation

A Coordinate-Descent Framework to Design Low PSL/ISL Sequences

MMBERT: Multimodal BERT Pretraining for Improved Medical VQA

A Peer-Relative Representation Learning Framework for Energy Inefficiency Identification in Mobile Network Sites

Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation

Weighted Low-rank Tensor Recovery for Hyperspectral Image Restoration

Learning Plannable Representations with Causal InfoGAN

LocAgent: Graph-Guided LLM Agents for Code Localization

R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE Agents

Revisiting Anchor Mechanisms for Temporal Action Localization

Orb-v3: atomistic simulation at scale

On the Additive FFT Techniques over Binary Extension Fields

RuleMem: Active Rule Memory for Long-Term Conversational Agents

Agentic Reinforced Policy Optimization

AdaptThink: Reasoning Models Can Learn When to Think

Transfiver: Human-AI Co-Inference through a Shared Editable State

OCTA-500: A Retinal Dataset for Optical Coherence Tomography Angiography Study

The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections

Trajectory-Based Co-Optimization of Arrival Scheduling and Descent Path Design in the Terminal Maneuvering Area

Effective Test Generation Using Pre-trained Large Language Models and Mutation Testing

From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers

Country-wide high-resolution vegetation height mapping with Sentinel-2