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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53,701 to 53,760 of 117,516

Adaptation Needs in Robotic Systems: Assessing Behavior Trees and Their Enhancement
Mehran Rostamnia, Gianluca Filippone, Ricardo Caldas +1
cs.ROcs.SEarXiv:2609.05331v12026
AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents
Jiafeng Liang, Hao Li, Chang Li +12
cs.CLcs.AIcs.CVarXiv:2512.23343v12025
Towards Robustness Against Natural Language Word Substitutions
Xinshuai Dong, Anh Tuan Luu, Rongrong Ji +1
cs.CLarXiv:2107.13541v12021
Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings
Feiyang Pan, Shuokai Li, Xiang Ao +2
cs.LGcs.IRstat.MLarXiv:1904.11547v12019
A PAPR Reduction Method Based on Artificial Bee Colony Algorithm for OFDM Signals
Yajun Wang, Wen Chen, Chintha Tellambura
eess.SParXiv:2003.06115v12020
Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates
Zengyi Qin, Kaiqing Zhang, Yuxiao Chen +2
cs.MAcs.AIeess.SYarXiv:2101.05436v42021
FlatQuant: Flatness Matters for LLM Quantization
Yuxuan Sun, Ruikang Liu, Haoli Bai +10
cs.CLcs.LGarXiv:2410.09426v42024
Beyond Diagonal Reconfigurable Intelligent Surfaces: From Transmitting and Reflecting Modes to Single-, Group-, and Fully-Connected Architectures
Hongyu Li, Shanpu Shen, Bruno Clerckx
cs.ITeess.SParXiv:2205.02866v22022
VRDU: A Benchmark for Visually-rich Document Understanding
Zilong Wang, Yichao Zhou, Wei Wei +2
cs.CLcs.AIarXiv:2211.15421v32022
Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction
Yuting Zhang, Kihyuk Sohn, Ruben Villegas +2
cs.CVarXiv:1504.03293v32015
RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes
Semih Yagcioglu, Aykut Erdem, Erkut Erdem +1
cs.CLcs.CVarXiv:1809.00812v12018
Apples on the Table? Evaluating Text-Guided 3D Scene Synthesis via Fine-Grained Constraint Verification
Minseok Kang, Dongwook Choi, Gyeom Hwangbo +3
cs.CLarXiv:2511.03001v32025
Data-based Distributionally Robust Stochastic Optimal Power Flow, Part I: Methodologies
Yi Guo, Kyri Baker, Emiliano Dall'Anese +2
math.OCcs.SYeess.SYarXiv:1804.06388v22018
Cognitive MIMO Radio: A Competitive Optimality Design Based on Subspace Projections
Gesualdo Scutari, Daniel P. Palomar, Sergio Barbarossa
cs.ITcs.GTarXiv:0808.0978v12008
Predictive Entropy Search for Multi-objective Bayesian Optimization
Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Amar Shah +1
stat.MLarXiv:1511.05467v32015
Inverse Scaling: When Bigger Isn't Better
Ian R. McKenzie, Alexander Lyzhov, Michael Pieler +24
cs.CLcs.AIcs.CYarXiv:2306.09479v22023
3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in MRI
Chen Chen, Xiaopeng Liu, Meng Ding +2
cs.CVarXiv:1904.03355v52019
Leveraging Financial News for Stock Trend Prediction with Attention-Based Recurrent Neural Network
Huicheng Liu
q-fin.CPcs.LGarXiv:1811.06173v12018
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection
Changhee Han, Yoshiro Kitamura, Akira Kudo +6
cs.CVeess.IVarXiv:1906.04962v22019
Stock Market Forecasting Based on Text Mining Technology: A Support Vector Machine Method
Yancong Xie, Hongxun Jiang
cs.LGcs.SIstat.MLarXiv:1909.12789v12019
Two-Point Local Optimality in $k$-Means via Boundary-Point Screening
Wenlong Lyu, Xujie Xiao, Yuheng Jia
cs.LGarXiv:2610.06182v12026
Towards Optimal One Pass Large Scale Learning with Averaged Stochastic Gradient Descent
Wei Xu
cs.LGarXiv:1107.2490v22011
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models
Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer +1
cs.CLarXiv:2101.00288v22021
Bayesian Low-rank Adaptation for Large Language Models
Adam X. Yang, Maxime Robeyns, Xi Wang +1
cs.LGarXiv:2308.13111v52023
A tool box for implementing supersymmetric models
Florian Staub, Thorsten Ohl, Werner Porod +1
hep-pharXiv:1109.5147v12011
Semantically Contrastive Learning for Low-light Image Enhancement
Dong Liang, Ling Li, Mingqiang Wei +5
cs.CVarXiv:2112.06451v12021
Financial Event Extraction Using Wikipedia-Based Weak Supervision
Liat Ein-Dor, Ariel Gera, Orith Toledo-Ronen +6
cs.CLarXiv:1911.10783v22019
Semantics Lead the Way: Harmonizing Semantic and Texture Modeling with Asynchronous Latent Diffusion
Yueming Pan, Ruoyu Feng, Qi Dai +5
cs.CVarXiv:2512.04926v22025
OSQP: An Operator Splitting Solver for Quadratic Programs
Bartolomeo Stellato, Goran Banjac, Paul Goulart +2
math.OCarXiv:1711.08013v42017
A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning
Ning Liu, Zhe Li, Zhiyuan Xu +5
cs.DCcs.AIarXiv:1703.04221v22017
Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring
Ilya Verenich, Marlon Dumas, Marcello La Rosa +2
cs.AIcs.LGarXiv:1805.02896v22018
Faceless Person Recognition; Privacy Implications in Social Media
Seong Joon Oh, Rodrigo Benenson, Mario Fritz +1
cs.CVcs.AIcs.CRarXiv:1607.08438v12016
I am Definitely Manipulated, Even When I am Aware of it. It s Ridiculous! -- Dark Patterns from the End-User Perspective
Kerstin Bongard-Blanchy, Arianna Rossi, Salvador Rivas +3
cs.HCarXiv:2104.12653v22021
Exact and Stable Covariance Estimation from Quadratic Sampling via Convex Programming
Yuxin Chen, Yuejie Chi, Andrea Goldsmith
cs.ITcs.LGmath.NAarXiv:1310.0807v52013
TransCrowd: weakly-supervised crowd counting with transformers
Dingkang Liang, Xiwu Chen, Wei Xu +2
cs.CVarXiv:2104.09116v32021
What Makes Diffusion Language Models Super Data Learners?
Zitian Gao, Haoming Luo, Lynx Chen +4
cs.CLarXiv:2510.04071v12025
Multi-scale Attributed Node Embedding
Benedek Rozemberczki, Carl Allen, Rik Sarkar
cs.LGcs.NIcs.SIarXiv:1909.13021v32019
Scalable Constrained Bayesian Optimization
David Eriksson, Matthias Poloczek
cs.LGcs.AIstat.MLarXiv:2002.08526v32020
Road Segmentation in SAR Satellite Images with Deep Fully-Convolutional Neural Networks
Corentin Henry, Seyed Majid Azimi, Nina Merkle
cs.CVarXiv:1802.01445v22018
Multimodal Takeover Requests for Drivers with Hearing Loss: Implications for AI-Enabled Communication in Automated Vehicles
Aries Chu, Wei-Hsiang Lo, Gaojian Huang
cs.HCarXiv:2608.30013v12026
What Matters in Building Vision-Language-Action Models for Generalist Robots
Xinghang Li, Peiyan Li, Long Qian +10
cs.ROcs.CVarXiv:2412.14058v42024
Vocabulary Learning via Optimal Transport for Neural Machine Translation
Jingjing Xu, Hao Zhou, Chun Gan +2
cs.CLarXiv:2012.15671v52020
Model-Contrastive Federated Learning
Qinbin Li, Bingsheng He, Dawn Song
cs.LGcs.AIcs.CVarXiv:2103.16257v12021
The Unwritten Benchmark: A New Challenge for Multimodal Machine Learning in Abstract Perceptual Reasoning
Garima Arya Yadav, Nilay Yilmaz, Yezhou Yang
cs.AIcs.CVarXiv:2608.14558v12026
Spatial-Temporal Relation Networks for Multi-Object Tracking
Jiarui Xu, Yue Cao, Zheng Zhang +1
cs.CVarXiv:1904.11489v12019
Modeling the Dynamics of PDE Systems with Physics-Constrained Deep Auto-Regressive Networks
Nicholas Geneva, Nicholas Zabaras
physics.comp-phcs.LGstat.MLarXiv:1906.05747v32019
SynCrash: A Multi-Stage Pipeline for Zero-Shot Accident Detection and Localization in Traffic Surveillance Video
Arkya Jyoti Bagchi, Ritul Jangir, Varun Raskar
cs.CVcs.AIarXiv:2608.29759v12026
Serving DNNs like Clockwork: Performance Predictability from the Bottom Up
Arpan Gujarati, Reza Karimi, Safya Alzayat +4
cs.DCcs.LGarXiv:2006.02464v22020
Accuracy-Guaranteed Collaborative DNN Inference in Industrial IoT via Deep Reinforcement Learning
Wen Wu, Peng Yang, Weiting Zhang +3
eess.SYcs.AIcs.LGarXiv:2301.00130v12022
SemGloVe: Semantic Co-occurrences for GloVe from BERT
Leilei Gan, Zhiyang Teng, Yue Zhang +3
cs.CLcs.AIarXiv:2012.15197v22020
Loss of New Ideas: Potentially Long-lasting Effects of the Pandemic on Scientists
Jian Gao, Yian Yin, Kyle R. Myers +2
cs.DLphysics.soc-pharXiv:2107.13073v12021
Rethinking Message Passing as Retrieval for Text-Attributed Graph Learning
Jintang Li, Yuhong Chen, Ruofan Wu +4
cs.LGcs.AIarXiv:2608.26732v12026
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
Weihao Zeng, Yuzhen Huang, Lulu Zhao +3
cs.AIcs.CLcs.LGarXiv:2412.17256v22024
A note on the triangle inequality for the Jaccard distance
Sven Kosub
cs.DMcs.IRcs.LGarXiv:1612.02696v12016
On the Convexity of Latent Social Network Inference
Seth A. Myers, Jure Leskovec
cs.SIphysics.soc-pharXiv:1010.5504v12010
A Critical Review of Communications in Multi-Robot Systems
Jennifer Gielis, Ajay Shankar, Amanda Prorok
cs.ROcs.MAarXiv:2206.09484v12022
Exact Sizewise Least Cores for Candidate-Disjoint Approval Chains
Jiarui Fang
cs.GTarXiv:2610.06871v12026
Is Private Learning Possible with Instance Encoding?
Nicholas Carlini, Samuel Deng, Sanjam Garg +6
cs.CRcs.CVcs.LGarXiv:2011.05315v22020
SNIPER: Efficient Multi-Scale Training
Bharat Singh, Mahyar Najibi, Larry S. Davis
cs.CVarXiv:1805.09300v32018
Summaries:한국어
From Gradients to Capabilities: Understanding Multi-Teacher On-Policy Distillation
Siqi Zhu, Suozhi Huang, Kaixuan Zhang +4
cs.LGarXiv:2610.02179v12026

Every paper with a summary

Adaptation Needs in Robotic Systems: Assessing Behavior Trees and Their Enhancement

AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents

Towards Robustness Against Natural Language Word Substitutions

Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings

A PAPR Reduction Method Based on Artificial Bee Colony Algorithm for OFDM Signals

Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates

FlatQuant: Flatness Matters for LLM Quantization

Beyond Diagonal Reconfigurable Intelligent Surfaces: From Transmitting and Reflecting Modes to Single-, Group-, and Fully-Connected Architectures

VRDU: A Benchmark for Visually-rich Document Understanding

Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction

RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes

Apples on the Table? Evaluating Text-Guided 3D Scene Synthesis via Fine-Grained Constraint Verification

Data-based Distributionally Robust Stochastic Optimal Power Flow, Part I: Methodologies

Cognitive MIMO Radio: A Competitive Optimality Design Based on Subspace Projections

Predictive Entropy Search for Multi-objective Bayesian Optimization

Inverse Scaling: When Bigger Isn't Better

3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in MRI

Leveraging Financial News for Stock Trend Prediction with Attention-Based Recurrent Neural Network

Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection

Stock Market Forecasting Based on Text Mining Technology: A Support Vector Machine Method

Two-Point Local Optimality in $k$-Means via Boundary-Point Screening

Towards Optimal One Pass Large Scale Learning with Averaged Stochastic Gradient Descent

Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models

Bayesian Low-rank Adaptation for Large Language Models

A tool box for implementing supersymmetric models

Semantically Contrastive Learning for Low-light Image Enhancement

Financial Event Extraction Using Wikipedia-Based Weak Supervision

Semantics Lead the Way: Harmonizing Semantic and Texture Modeling with Asynchronous Latent Diffusion

OSQP: An Operator Splitting Solver for Quadratic Programs

A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning

Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring

Faceless Person Recognition; Privacy Implications in Social Media

I am Definitely Manipulated, Even When I am Aware of it. It s Ridiculous! -- Dark Patterns from the End-User Perspective

Exact and Stable Covariance Estimation from Quadratic Sampling via Convex Programming

TransCrowd: weakly-supervised crowd counting with transformers

What Makes Diffusion Language Models Super Data Learners?

Multi-scale Attributed Node Embedding

Scalable Constrained Bayesian Optimization

Road Segmentation in SAR Satellite Images with Deep Fully-Convolutional Neural Networks

Multimodal Takeover Requests for Drivers with Hearing Loss: Implications for AI-Enabled Communication in Automated Vehicles

What Matters in Building Vision-Language-Action Models for Generalist Robots

Vocabulary Learning via Optimal Transport for Neural Machine Translation

Model-Contrastive Federated Learning

The Unwritten Benchmark: A New Challenge for Multimodal Machine Learning in Abstract Perceptual Reasoning

Spatial-Temporal Relation Networks for Multi-Object Tracking

Modeling the Dynamics of PDE Systems with Physics-Constrained Deep Auto-Regressive Networks

SynCrash: A Multi-Stage Pipeline for Zero-Shot Accident Detection and Localization in Traffic Surveillance Video

Serving DNNs like Clockwork: Performance Predictability from the Bottom Up

Accuracy-Guaranteed Collaborative DNN Inference in Industrial IoT via Deep Reinforcement Learning

SemGloVe: Semantic Co-occurrences for GloVe from BERT

Loss of New Ideas: Potentially Long-lasting Effects of the Pandemic on Scientists

Rethinking Message Passing as Retrieval for Text-Attributed Graph Learning

B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

A note on the triangle inequality for the Jaccard distance

On the Convexity of Latent Social Network Inference

A Critical Review of Communications in Multi-Robot Systems

Exact Sizewise Least Cores for Candidate-Disjoint Approval Chains

Is Private Learning Possible with Instance Encoding?

SNIPER: Efficient Multi-Scale Training

From Gradients to Capabilities: Understanding Multi-Teacher On-Policy Distillation