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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56,401 to 56,460 of 61,258

Universal Robotic Gripper based on the Jamming of Granular Material
Eric Brown, Nicholas Rodenberg, John Amend +5
cond-mat.softarXiv:1009.4444v22010
Where Does Authorship Signal Emerge in Encoder-Based Language Models?
Francis Kulumba, Guillaume Vimont, Laurent Romary +1
cs.CLarXiv:2605.19908v22026
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
Zhaowei Cai, Quanfu Fan, Rogerio S. Feris +1
cs.CVarXiv:1607.07155v12016
Reproducible scaling laws for contrastive language-image learning
Mehdi Cherti, Romain Beaumont, Ross Wightman +6
cs.LGcs.AIcs.CVarXiv:2212.07143v22022
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
Saurabh Gupta, Ross Girshick, Pablo Arbeláez +1
cs.CVcs.ROarXiv:1407.5736v12014
Conditional Equivalence of DPO and RLHF: Implicit Assumption, Failure Modes, and Provable Alignment
Zhiqin Yang, Yonggang Zhang, Wei Xue +3
cs.AIcs.LGarXiv:2605.20834v12026
Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models
Guangzhi Xiong, Qiao Jin, Sanchit Sinha +2
cs.CVcs.AIcs.CLarXiv:2605.20158v12026
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi, Julie Nutini, Mark Schmidt
cs.LGmath.OCstat.COarXiv:1608.04636v42016
Text Embeddings by Weakly-Supervised Contrastive Pre-training
Liang Wang, Nan Yang, Xiaolong Huang +5
cs.CLcs.IRarXiv:2212.03533v22022
CutVerse: A Compositional GUI Agents Benchmark for Media Post-Production Editing
Haobo Hu, Xiangwu Guo, Zhiheng Chen +4
cs.CVcs.AIcs.GRarXiv:2605.19484v12026
Q-ARVD: Quantizing Autoregressive Video Diffusion Models
Siao Tang, Xinyin Ma, Gongfan Fang +2
cs.CVarXiv:2605.21072v12026
JuMP: A Modeling Language for Mathematical Optimization
Iain Dunning, Joey Huchette, Miles Lubin
math.OCcs.MSarXiv:1508.01982v32015
LLMEval-Logic: A Solver-Verified Chinese Benchmark for Logical Reasoning of LLMs with Adversarial Hardening
Ming Zhang, Qiyuan Peng, Yinxi Wei +13
cs.CLarXiv:2605.19597v12026
Logical quantum processor based on reconfigurable atom arrays
Dolev Bluvstein, Simon J. Evered, Alexandra A. Geim +18
quant-phcond-mat.quant-gasphysics.atom-pharXiv:2312.03982v12023
From Seeing to Thinking: Decoupling Perception and Reasoning Improves Post-Training of Vision-Language Models
Juncheng Wu, Hardy Chen, Haoqin Tu +6
cs.CLcs.CVarXiv:2605.20177v12026
PlanningBench: Generating Scalable and Verifiable Planning Data for Evaluating and Training Large Language Models
Ziliang Zhao, Zenan Xu, Shuting Wang +7
cs.AIcs.LGarXiv:2605.20873v22026
Disentangling Sampling from Training Budget in Class-Imbalanced CT Body Composition Segmentation
Iason Skylitsis, Dimitrios Karkalousos, Ivana Išgum
eess.IVcs.AIcs.CVarXiv:2605.20405v12026
Do Better ImageNet Models Transfer Better?
Simon Kornblith, Jonathon Shlens, Quoc V. Le
cs.CVcs.LGstat.MLarXiv:1805.08974v32018
Synthetic Data for Text Localisation in Natural Images
Ankush Gupta, Andrea Vedaldi, Andrew Zisserman
cs.CVarXiv:1604.06646v12016
Discrete Signal Processing on Graphs
Aliaksei Sandryhaila, Jose M. F. Moura
cs.SIphysics.soc-pharXiv:1210.4752v22012
AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment
Kuei-Chun Kao, Daixuan Huo, Yuanhao Ban +1
cs.AIcs.CVcs.LGarXiv:2605.17602v22026
Decoupling Communication from Policy: Robust MARL under Bandwidth Constraints
Alexi Canesse, Benoît Goupil, Jesse Read +1
cs.MAcs.AIcs.LGarXiv:2605.21085v12026
A Survey on Multimodal Large Language Models
Shukang Yin, Chaoyou Fu, Sirui Zhao +4
cs.CVcs.AIcs.CLarXiv:2306.13549v42023
On Layer Normalization in the Transformer Architecture
Ruibin Xiong, Yunchang Yang, Di He +7
cs.LGcs.CLstat.MLarXiv:2002.04745v22020
CogOmniControl: Reasoning-Driven Controllable Video Generation via Creative Intent Cognition
Hongji Yang, Songlian Li, Yucheng Zhou +4
cs.CVarXiv:2605.19995v12026
MOCHA: Multi-Objective Chebyshev Annealing for Agent Skill Optimization
Md Mehrab Tanjim, Jayakumar Subramanian, Xiang Chen +6
cs.AIcs.LGcs.SEarXiv:2605.19330v12026
LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
Yushi Bai, Xin Lv, Jiajie Zhang +10
cs.CLarXiv:2308.14508v22023
Speeding up Convolutional Neural Networks with Low Rank Expansions
Max Jaderberg, Andrea Vedaldi, Andrew Zisserman
cs.CVarXiv:1405.3866v12014
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
Wieland Brendel, Jonas Rauber, Matthias Bethge
stat.MLcs.CRcs.CVarXiv:1712.04248v22017
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
Erik Nijkamp, Bo Pang, Hiroaki Hayashi +5
cs.LGcs.CLcs.PLarXiv:2203.13474v52022
iFogSim: A Toolkit for Modeling and Simulation of Resource Management Techniques in Internet of Things, Edge and Fog Computing Environments
Harshit Gupta, Amir Vahid Dastjerdi, Soumya K. Ghosh +1
cs.DCarXiv:1606.02007v12016
Learning to See in the Dark
Chen Chen, Qifeng Chen, Jia Xu +1
cs.CVcs.GRcs.LGarXiv:1805.01934v12018
Minimalist Visual Inertial Odometry
Francesco Pasti, Jeremy Klotz, Nicola Bellotto +1
cs.ROcs.CVcs.LGarXiv:2605.19990v12026
Data-Efficient Image Recognition with Contrastive Predictive Coding
Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw +4
cs.CVcs.LGarXiv:1905.09272v32019
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid, Mikayel Samvelyan, Christian Schroeder de Witt +3
cs.LGcs.MAstat.MLarXiv:2003.08839v22020
Platonic Representations in the Human Brain: Unsupervised Recovery of Universal Geometry
Pablo Marcos-Manchón, Rishi Jha, Lluís Fuentemilla
q-bio.NCcs.CVarXiv:2605.20496v12026
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
Edward Choi, Mohammad Taha Bahadori, Joshua A. Kulas +3
cs.LGcs.AIcs.NEarXiv:1608.05745v42016
PCANet: A Simple Deep Learning Baseline for Image Classification?
Tsung-Han Chan, Kui Jia, Shenghua Gao +3
cs.CVcs.LGcs.NEarXiv:1404.3606v22014
Perceiver: General Perception with Iterative Attention
Andrew Jaegle, Felix Gimeno, Andrew Brock +3
cs.CVcs.AIcs.LGarXiv:2103.03206v22021
Cross-stitch Networks for Multi-task Learning
Ishan Misra, Abhinav Shrivastava, Abhinav Gupta +1
cs.CVcs.LGarXiv:1604.03539v12016
Deep & Cross Network for Ad Click Predictions
Ruoxi Wang, Bin Fu, Gang Fu +1
cs.LGstat.MLarXiv:1708.05123v12017
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu, Daya Guo, Shuo Ren +19
cs.SEcs.CLarXiv:2102.04664v22021
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
Aldo Pareja, Giacomo Domeniconi, Jie Chen +6
cs.LGcs.SIstat.MLarXiv:1902.10191v32019
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia, Razvan Pascanu, Matthew Lai +2
cs.AIcs.LGarXiv:1612.00222v12016
Rényi Divergence and Kullback-Leibler Divergence
Tim van Erven, Peter Harremoës
cs.ITmath.STstat.MLarXiv:1206.2459v22012
IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools
Rongbin Tan, Fangfang Lin, Zhenlong Yuan +10
cs.CVarXiv:2605.20682v12026
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
Sewon Min, Kalpesh Krishna, Xinxi Lyu +6
cs.CLcs.AIcs.LGarXiv:2305.14251v22023
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
Kurtland Chua, Roberto Calandra, Rowan McAllister +1
cs.LGcs.AIcs.ROarXiv:1805.12114v22018
ERNIE: Enhanced Language Representation with Informative Entities
Zhengyan Zhang, Xu Han, Zhiyuan Liu +3
cs.CLarXiv:1905.07129v32019
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
Surat Teerapittayanon, Bradley McDanel, H. T. Kung
cs.NEcs.CVcs.LGarXiv:1709.01686v12017
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries
Mahdi Azhdari, Eric J. Gonzales
cs.CLarXiv:2605.21712v12026
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned
Elena Voita, David Talbot, Fedor Moiseev +2
cs.CLarXiv:1905.09418v22019
Generating Videos with Scene Dynamics
Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
cs.CVcs.GRcs.LGarXiv:1609.02612v32016
RankJudge: A Multi-Turn LLM-as-a-Judge Synthetic Benchmark Generator
Zhenwei Tang, Zhaoyan Liu, Rasa Hosseinzadeh +3
cs.CLarXiv:2605.21748v12026
What Makes for Good Views for Contrastive Learning?
Yonglong Tian, Chen Sun, Ben Poole +3
cs.CVcs.LGarXiv:2005.10243v32020
Reflective Prompt Tuning through Language Model Function-Calling
Farima Fatahi Bayat, Moin Aminnaseri, Pouya Pezeshkpour +1
cs.CLarXiv:2605.21781v12026
Fine-tuning CNN Image Retrieval with No Human Annotation
Filip Radenović, Giorgos Tolias, Ondřej Chum
cs.CVarXiv:1711.02512v22017
Domain Adaptive Faster R-CNN for Object Detection in the Wild
Yuhua Chen, Wen Li, Christos Sakaridis +2
cs.CVarXiv:1803.03243v12018
RISE: Randomized Input Sampling for Explanation of Black-box Models
Vitali Petsiuk, Abir Das, Kate Saenko
cs.CVarXiv:1806.07421v32018
This Looks Like That: Deep Learning for Interpretable Image Recognition
Chaofan Chen, Oscar Li, Chaofan Tao +3
cs.LGcs.AIcs.CVarXiv:1806.10574v52018

Every paper with a summary

Universal Robotic Gripper based on the Jamming of Granular Material

Where Does Authorship Signal Emerge in Encoder-Based Language Models?

A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection

Reproducible scaling laws for contrastive language-image learning

Learning Rich Features from RGB-D Images for Object Detection and Segmentation

Conditional Equivalence of DPO and RLHF: Implicit Assumption, Failure Modes, and Provable Alignment

Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models

Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition

Text Embeddings by Weakly-Supervised Contrastive Pre-training

CutVerse: A Compositional GUI Agents Benchmark for Media Post-Production Editing

Q-ARVD: Quantizing Autoregressive Video Diffusion Models

JuMP: A Modeling Language for Mathematical Optimization

LLMEval-Logic: A Solver-Verified Chinese Benchmark for Logical Reasoning of LLMs with Adversarial Hardening

Logical quantum processor based on reconfigurable atom arrays

From Seeing to Thinking: Decoupling Perception and Reasoning Improves Post-Training of Vision-Language Models

PlanningBench: Generating Scalable and Verifiable Planning Data for Evaluating and Training Large Language Models

Disentangling Sampling from Training Budget in Class-Imbalanced CT Body Composition Segmentation

Do Better ImageNet Models Transfer Better?

Synthetic Data for Text Localisation in Natural Images

Discrete Signal Processing on Graphs

AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment

Decoupling Communication from Policy: Robust MARL under Bandwidth Constraints

A Survey on Multimodal Large Language Models

On Layer Normalization in the Transformer Architecture

CogOmniControl: Reasoning-Driven Controllable Video Generation via Creative Intent Cognition

MOCHA: Multi-Objective Chebyshev Annealing for Agent Skill Optimization

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Speeding up Convolutional Neural Networks with Low Rank Expansions

Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models

CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

iFogSim: A Toolkit for Modeling and Simulation of Resource Management Techniques in Internet of Things, Edge and Fog Computing Environments

Learning to See in the Dark

Minimalist Visual Inertial Odometry

Data-Efficient Image Recognition with Contrastive Predictive Coding

Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Platonic Representations in the Human Brain: Unsupervised Recovery of Universal Geometry

RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism

PCANet: A Simple Deep Learning Baseline for Image Classification?

Perceiver: General Perception with Iterative Attention

Cross-stitch Networks for Multi-task Learning

Deep & Cross Network for Ad Click Predictions

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Interaction Networks for Learning about Objects, Relations and Physics

Rényi Divergence and Kullback-Leibler Divergence

IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools

FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

ERNIE: Enhanced Language Representation with Informative Entities

BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks

Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries

Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned

Generating Videos with Scene Dynamics

RankJudge: A Multi-Turn LLM-as-a-Judge Synthetic Benchmark Generator

What Makes for Good Views for Contrastive Learning?

Reflective Prompt Tuning through Language Model Function-Calling

Fine-tuning CNN Image Retrieval with No Human Annotation

Domain Adaptive Faster R-CNN for Object Detection in the Wild

RISE: Randomized Input Sampling for Explanation of Black-box Models

This Looks Like That: Deep Learning for Interpretable Image Recognition