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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118,201 to 118,260 of 118,392

RefCaptioner: Multi-Reference Image-Grounded Video Captioning
Tengfei Liu, Yang Shi, Yuran Wang +16
cs.CVarXiv:2607.28509v12026
DiFA: Inference-Time Forward-Process Alignment for Diffusion Models
Shigui Li, Delu Zeng
cs.LGarXiv:2607.17972v12026
DailyReport: An Open-ended Benchmark for Evaluating Search Agents on Daily Search Tasks
Jingxuan Han, Wei Liu, Mingyang Zhu +8
cs.AIarXiv:2606.12871v12026
A Scalable Pipeline for LLM-Teacher Distillation Labeling: Work-Stealing Job Scheduling and Memory-Aware GPU Concurrency
Ravi Satya Durga Prasad Yenugula
cs.DCcs.AIcs.CLarXiv:2608.15975v12026
Dual Attention Network for Scene Segmentation
Jun Fu, Jing Liu, Haijie Tian +4
cs.CVarXiv:1809.02983v42018
SIDScope: A Diagnostic Resource for Semantic-ID Interfaces in Generative Recommendation
Jiandong Ding, Huijie Qin, Tiandeng Wu +1
cs.IRcs.AIarXiv:2608.18779v12026
Summaries:한국어
Orienteering Problem with Uncertain Time-Varying Rewards: Framework and Benchmark for Everyday Service Robotics
Masafumi Endo, Kohei Honda, Yuu Jinnai +1
cs.ROcs.AIarXiv:2608.18672v12026
ComponentBench: Diagnosing Component-Level Failures in Computer-Use Agents
Tianchen Guan, Xinlei Lin, Royce Cheng-Yue +2
cs.AIcs.CLcs.HCarXiv:2608.18307v12026
Validated Adaptation for Aerial Crowd Monitoring at Mass Gathering Scale: A Deployment Protocol, a Severity Law, and a Diagnostic for Label-Free Drone Crowd Counting, Toward the FIFA World Cup 2034 (Saudi Arabia)
AlAnoud AllGhayth, AlJawharh AlOtaibi, Jude AlSubaie
cs.AIarXiv:2608.17625v12026
OraclePhys: A Systematic Framework for LLM Fine-Tuning on Structural Mechanics
Mingyu Li, Guorui Song, Jing Lin +1
cs.LGarXiv:2608.17162v12026
ComNetX: Local Hierarchical Adaptation for Dynamic Community Detection
Aleksandr Konovalov, Anna Uporova, Alexander Drobyshev +2
cs.SIcs.AIcs.LGarXiv:2608.16906v12026
When Agents Coordinate: Measuring Coordination in Multi-Agent AI Coding
Giuseppe Destefanis, Tomaso Aste
cs.AIcs.SEarXiv:2608.16801v12026
Orbit-Planner: Towards Latent World Models for On-Orbit Obstacle Avoidance of Satellite Agents
Zhijian Li, Chao Ren, Peijin Wang +1
cs.ROcs.AIarXiv:2608.16651v12026
RISE: Roadside Infrastructure Sequence Understanding across 3D Tracking and Structured Vision-Language Reasoning
Yanbo Jiang, Haotian Zheng, Jiahao Wang +10
cs.CVcs.AIarXiv:2608.16480v12026
ETHOS: Towards a Modular Ethics Framework for Clinical Multi-Agent Systems
Rakesh Sharma, Sydney Pugh, Cameron Beeche +14
cs.MAcs.AIcs.LGarXiv:2608.15424v12026
Sufficient Dimesion Reduction via Generalized Stein's Lemma
Ye Tian
stat.MLcs.LGstat.MEarXiv:2608.15121v12026
Accuracy and Reliability of Large Language Models in Cosmetic Chemistry and Skin Health: A Benchmarking Study
Amelia Liu
cs.AIarXiv:2608.14631v12026
Co-constructing sociotechnical AI governance: participatory system mapping using algorithm registers
Íñigo de Troya, Maurus Enbergs, Neelke Doorn +1
cs.CYcs.AIeess.SYarXiv:2608.12166v12026
SKILLER: Language-Level Reinforcement Learning for Reusable Skill Extraction in Small Language Models
Chenhao Dang, Siyuan Xiong, Conghui He +1
cs.AIarXiv:2608.10538v22026
Vinci2: Providing Proactive Assistance in Continuous Egocentric Videos
Gong Sitong, Tianyu Yan, Caixin Kang +6
cs.CVcs.AIarXiv:2607.11523v12026
Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation
Haozhe Wang, Weijia Feng, Jinpeng Yu +8
cs.CVcs.AIarXiv:2607.05382v42026
TACO: Tool-Augmented Credit Optimization for Agentic Tool Use
Mingkuan Feng, Jinyang Wu, Hao Gu +5
cs.MAarXiv:2606.30251v12026
Summaries:한국어
Bridging VideoQA and Video-Guided Agentic Tasks via Generalized Keyframe Extraction
Sunqi Fan, Qingle Liu, Runqi Yin +2
cs.CVcs.AIarXiv:2606.29445v12026
Summaries:한국어
RedVox: Safety and Fairness Gaps in Speech Models Across Languages
Beatrice Savoldi, Sara Papi, Wafa Aissa +2
cs.CLarXiv:2606.26968v12026
What the LLM Should Not Say: Boundary-Aware Context Grounding for A Seven-Channel EEG Agent
Zhiyuan Xu, Yueqing Dai, Junling Li +1
cs.AIarXiv:2606.26519v22026
MEMPROBE: Probing Long-Term Agent Memory via Hidden User-State Recovery
Enze Ma, Yufan Zhou, Wei-Chieh Huang +7
cs.CLarXiv:2606.24595v12026
Self-Evaluation Is Already There: Eliciting Latent Judge Calibration in Base LLMs with Minimal Data
XiuYu Zhang, Yi Shan, Junfeng Fang +1
cs.CLarXiv:2606.05122v12026
GGT-100K: Generative Ground Truth for Generalizable Real-World Image Restoration
Xiangtao Kong, Jixin Zhao, Lingchen Sun +2
cs.CVarXiv:2605.31039v22026
Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution
Han Li, Jinyu Tian, Rili Feng +10
cs.AIarXiv:2605.15301v12026
Rethinking Agentic Search with Pi-Serini: Is Lexical Retrieval Sufficient?
Tz-Huan Hsu, Jheng-Hong Yang, Jimmy Lin
cs.IRcs.AIcs.CLarXiv:2605.10848v12026
Metal-Sci: A Scientific Compute Benchmark for Evolutionary LLM Kernel Search on Apple Silicon
Víctor Gallego
cs.LGcs.AIcs.DCarXiv:2605.09708v22026
FollowUpBot: An LLM-Based Conversational Robot for Automatic Postoperative Follow-up
Chen Chen, Jianing Yin, Jiannong Cao +5
cs.HCcs.CLcs.ROarXiv:2507.15502v12025
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
Shilong Liu, Zhaoyang Zeng, Tianhe Ren +9
cs.CVarXiv:2303.05499v52023
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Shaojie Bai, J. Zico Kolter, Vladlen Koltun
cs.LGcs.AIcs.CLarXiv:1803.01271v22018
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Josh Tobin, Rachel Fong, Alex Ray +3
cs.ROcs.LGarXiv:1703.06907v12017
Perturbation-based Regional Interpretability through Subtraction Mapping (PRISM): naming-error dissociations in language models and post-stroke aphasia
Xiang Guan, Roger D. Newman-Norlund, Yong Yang +8
cs.LGcs.CLarXiv:2608.12717v12026
Intent Speaks Louder: Controllable User Simulation Beyond Response Imitation
Bo Wang, Ruixing Zhang, Yunqi Liu +4
cs.CLarXiv:2608.09420v12026
MBA: Multimodal Benchmark and Agents for Real-World Business Ideation
Hojun Choi, Jaeyo Shin, Suin Lee +1
cs.AIcs.CVcs.LGarXiv:2608.11616v22026
Domain Arithmetic: One-Shot VLA Adaptation under Environmental Shifts
Taewook Kang, Taeheon Kim, Donghyun Shin +1
cs.ROcs.CVcs.LGarXiv:2607.00666v12026
Continuous Latent Diffusion Language Model
Hongcan Guo, Qinyu Zhao, Yian Zhao +8
cs.CLcs.AIcs.CVarXiv:2605.06548v12026
Adaptive Policy Portfolios for Robust Markov Decision Processes
Kasper Engelen, Sebastian Junges, Guillermo A. Pérez +1
cs.AIcs.LOarXiv:2608.17929v12026
ChLogic: Evaluating Robustness of Logical Reasoning in Chinese Expressions
Peixian Zhou, Yuxu Chen, Chaorui Zhang +3
cs.CLarXiv:2606.17905v12026
The Future of Digital Health with Federated Learning
Nicola Rieke, Jonny Hancox, Wenqi Li +14
cs.CYcs.LGarXiv:2003.08119v22020
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
Huifeng Guo, Ruiming Tang, Yunming Ye +2
cs.IRcs.CLarXiv:1703.04247v12017
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux, Yoshua Bengio, Jean-Pierre David
cs.LGcs.CVcs.NEarXiv:1511.00363v32015
Wolff-Parkinson-White Detection at 471:1 Class Imbalance: A Leakage-Controlled Study of the Data Bottleneck
Nathael Altman
eess.SPcs.LGarXiv:2608.14633v12026
Shortcut Learning in Deep Neural Networks
Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis +4
cs.CVcs.AIcs.LGarXiv:2004.07780v52020
Concrete Problems in AI Safety
Dario Amodei, Chris Olah, Jacob Steinhardt +3
cs.AIcs.LGarXiv:1606.06565v22016
Cloud Computing and Grid Computing 360-Degree Compared
Ian Foster, Yong Zhao, Ioan Raicu +1
cs.DCarXiv:0901.0131v12008
When AI Rewrites, Classifiers Relax: Uncertainty-Aware Sentiment Analysis on Sarcastic and AI-Paraphrased Social Text
Shresth Shroff
cs.CLcs.AIarXiv:2608.15338v12026
Energy and Policy Considerations for Deep Learning in NLP
Emma Strubell, Ananya Ganesh, Andrew McCallum
cs.CLarXiv:1906.02243v12019
Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman +2
cs.CVcs.LGeess.IVarXiv:2006.09661v12020
Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network
Qingqing Wu, Rui Zhang
cs.ITcs.NIarXiv:1905.00152v52019
Geometric deep learning: going beyond Euclidean data
Michael M. Bronstein, Joan Bruna, Yann LeCun +2
cs.CVarXiv:1611.08097v22016
Let's Verify Step by Step
Hunter Lightman, Vineet Kosaraju, Yura Burda +7
cs.LGcs.AIcs.CLarXiv:2305.20050v12023
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen, Haoqi Fan, Ross Girshick +1
cs.CVarXiv:2003.04297v12020
Multi-column Deep Neural Networks for Image Classification
Dan Cireşan, Ueli Meier, Juergen Schmidhuber
cs.CVcs.AIarXiv:1202.2745v12012
Improved Regularization of Convolutional Neural Networks with Cutout
Terrance DeVries, Graham W. Taylor
cs.CVarXiv:1708.04552v22017
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani +3
cs.CVcs.GRcs.LGarXiv:2208.12242v22022
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks, Kevin Gimpel
cs.NEcs.CVcs.LGarXiv:1610.02136v32016

Every paper with a summary

RefCaptioner: Multi-Reference Image-Grounded Video Captioning

DiFA: Inference-Time Forward-Process Alignment for Diffusion Models

DailyReport: An Open-ended Benchmark for Evaluating Search Agents on Daily Search Tasks

A Scalable Pipeline for LLM-Teacher Distillation Labeling: Work-Stealing Job Scheduling and Memory-Aware GPU Concurrency

Dual Attention Network for Scene Segmentation

SIDScope: A Diagnostic Resource for Semantic-ID Interfaces in Generative Recommendation

Orienteering Problem with Uncertain Time-Varying Rewards: Framework and Benchmark for Everyday Service Robotics

ComponentBench: Diagnosing Component-Level Failures in Computer-Use Agents

Validated Adaptation for Aerial Crowd Monitoring at Mass Gathering Scale: A Deployment Protocol, a Severity Law, and a Diagnostic for Label-Free Drone Crowd Counting, Toward the FIFA World Cup 2034 (Saudi Arabia)

OraclePhys: A Systematic Framework for LLM Fine-Tuning on Structural Mechanics

ComNetX: Local Hierarchical Adaptation for Dynamic Community Detection

When Agents Coordinate: Measuring Coordination in Multi-Agent AI Coding

Orbit-Planner: Towards Latent World Models for On-Orbit Obstacle Avoidance of Satellite Agents

RISE: Roadside Infrastructure Sequence Understanding across 3D Tracking and Structured Vision-Language Reasoning

ETHOS: Towards a Modular Ethics Framework for Clinical Multi-Agent Systems

Sufficient Dimesion Reduction via Generalized Stein's Lemma

Accuracy and Reliability of Large Language Models in Cosmetic Chemistry and Skin Health: A Benchmarking Study

Co-constructing sociotechnical AI governance: participatory system mapping using algorithm registers

SKILLER: Language-Level Reinforcement Learning for Reusable Skill Extraction in Small Language Models

Vinci2: Providing Proactive Assistance in Continuous Egocentric Videos

Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation

TACO: Tool-Augmented Credit Optimization for Agentic Tool Use

Bridging VideoQA and Video-Guided Agentic Tasks via Generalized Keyframe Extraction

RedVox: Safety and Fairness Gaps in Speech Models Across Languages

What the LLM Should Not Say: Boundary-Aware Context Grounding for A Seven-Channel EEG Agent

MEMPROBE: Probing Long-Term Agent Memory via Hidden User-State Recovery

Self-Evaluation Is Already There: Eliciting Latent Judge Calibration in Base LLMs with Minimal Data

GGT-100K: Generative Ground Truth for Generalizable Real-World Image Restoration

Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution

Rethinking Agentic Search with Pi-Serini: Is Lexical Retrieval Sufficient?

Metal-Sci: A Scientific Compute Benchmark for Evolutionary LLM Kernel Search on Apple Silicon

FollowUpBot: An LLM-Based Conversational Robot for Automatic Postoperative Follow-up

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World

Perturbation-based Regional Interpretability through Subtraction Mapping (PRISM): naming-error dissociations in language models and post-stroke aphasia

Intent Speaks Louder: Controllable User Simulation Beyond Response Imitation

MBA: Multimodal Benchmark and Agents for Real-World Business Ideation

Domain Arithmetic: One-Shot VLA Adaptation under Environmental Shifts

Continuous Latent Diffusion Language Model

Adaptive Policy Portfolios for Robust Markov Decision Processes

ChLogic: Evaluating Robustness of Logical Reasoning in Chinese Expressions

The Future of Digital Health with Federated Learning

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

BinaryConnect: Training Deep Neural Networks with binary weights during propagations

Wolff-Parkinson-White Detection at 471:1 Class Imbalance: A Leakage-Controlled Study of the Data Bottleneck

Shortcut Learning in Deep Neural Networks

Concrete Problems in AI Safety

Cloud Computing and Grid Computing 360-Degree Compared

When AI Rewrites, Classifiers Relax: Uncertainty-Aware Sentiment Analysis on Sarcastic and AI-Paraphrased Social Text

Energy and Policy Considerations for Deep Learning in NLP

Implicit Neural Representations with Periodic Activation Functions

Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network

Geometric deep learning: going beyond Euclidean data

Let's Verify Step by Step

Improved Baselines with Momentum Contrastive Learning

Multi-column Deep Neural Networks for Image Classification

Improved Regularization of Convolutional Neural Networks with Cutout

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks