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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51,421 to 51,480 of 61,393

Meta$^n$: Recursive Self-Improvement through Emergent Depth
Zae Myung Kim, Young-Jun Lee, Seungyeon Jwa +1
cs.AIcs.CLeess.SYarXiv:2608.24735v12026
Lost in the Prompt Order: Revealing the Limitations of Causal Attention in Language Models
Hyunjong Ok, Jaeho Lee
cs.CLcs.AIcs.LGarXiv:2601.14152v22026
XR: Cross-Modal Agents for Composed Image Retrieval
Zhongyu Yang, Wei Pang, Yingfang Yuan
cs.IRarXiv:2601.14245v22026
VideoMaMa: Mask-Guided Video Matting via Generative Prior
Sangbeom Lim, Seoung Wug Oh, Jiahui Huang +3
cs.CVcs.AIarXiv:2601.14255v12026
Gated Context Aggregation Network for Image Dehazing and Deraining
Dongdong Chen, Mingming He, Qingnan Fan +5
cs.CVarXiv:1811.08747v22018
Structure and Content-Guided Video Synthesis with Diffusion Models
Patrick Esser, Johnathan Chiu, Parmida Atighehchian +2
cs.CVarXiv:2302.03011v12023
On-policy Distillation with Verifiable Reward
Wenze Lin, Jiale Zhao, Xitai Jiang +5
cs.LGcs.AIarXiv:2608.24696v12026
A Comprehensive Overhaul of Feature Distillation
Byeongho Heo, Jeesoo Kim, Sangdoo Yun +3
cs.CVcs.LGarXiv:1904.01866v22019
Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies
Mumuksh Tayal, Manan Tayal, Ravi Prakash
cs.LGcs.AIarXiv:2603.15136v22026
Learning a Deep Embedding Model for Zero-Shot Learning
Li Zhang, Tao Xiang, Shaogang Gong
cs.CVarXiv:1611.05088v42016
GroupViT: Semantic Segmentation Emerges from Text Supervision
Jiarui Xu, Shalini De Mello, Sifei Liu +4
cs.CVarXiv:2202.11094v52022
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
Marc Lanctot, Vinicius Zambaldi, Audrunas Gruslys +5
cs.AIcs.GTcs.LGarXiv:1711.00832v22017
VIOLA: Towards Video In-Context Learning with Minimal Annotations
Ryo Fujii, Hideo Saito, Ryo Hachiuma
cs.CVcs.AIarXiv:2601.15549v12026
The Impact of AI on Developer Productivity: Evidence from GitHub Copilot
Sida Peng, Eirini Kalliamvakou, Peter Cihon +1
cs.SEarXiv:2302.06590v12023
Consensus of Multi-Agent Systems with General Linear and Lipschitz Nonlinear Dynamics Using Distributed Adaptive Protocols
Zhongkui Li, Wei Ren, Xiangdong Liu +1
eess.SYmath.OCarXiv:1109.3799v12011
Integrating sequencing datasets to form highly confident SNP and indel genotype calls for a whole human genome
Justin M. Zook, Brad Chapman, Jason Wang +4
q-bio.GNarXiv:1307.4661v22013
RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-Agents
Jize Wang, Han Wu, Zhiyuan You +9
cs.AIarXiv:2601.18130v12026
Training Reasoning Models on Saturated Problems via Failure-Prefix Conditioning
Minwu Kim, Safal Shrestha, Anubhav Shrestha +1
cs.LGcs.AIcs.CLarXiv:2601.20829v22026
GDCNet: Generative Discrepancy Comparison Network for Multimodal Sarcasm Detection
Shuguang Zhang, Junhong Lian, Guoxin Yu +2
cs.CVcs.AIcs.CLarXiv:2601.20618v12026
Deep Learning COVID-19 Features on CXR using Limited Training Data Sets
Yujin Oh, Sangjoon Park, Jong Chul Ye
eess.IVcs.CVcs.LGarXiv:2004.05758v22020
Spatial-Spectral Joint Detection for Wideband Spectrum Sensing in Cognitive Radio Networks
Zhi Quan, Shuguang Cui, Ali. H. Sayed +1
cs.ITarXiv:0801.3049v12008
Reinforcement Learning from Meta-Evaluation: Aligning Language Models Without Ground-Truth Labels
Micah Rentschler, Jesse Roberts
cs.NEarXiv:2601.21268v12026
ECO: Quantized Training without Full-Precision Master Weights
Mahdi Nikdan, Amir Zandieh, Dan Alistarh +1
cs.CLcs.AIcs.LGarXiv:2601.22101v12026
DIFFA-2: A Practical Diffusion Large Language Model for General Audio Understanding
Jiaming Zhou, Xuxin Cheng, Shiwan Zhao +5
cs.SDcs.CLarXiv:2601.23161v12026
Deep Cross-Modal Hashing
Qing-Yuan Jiang, Wu-Jun Li
cs.IRarXiv:1602.02255v22016
PURA: Provably Unbiased and Robust Multi-Bit Watermarking for AI-Generated Text Attribution
Yaofei Wang, Jinyang Guo, Shuchao Du +6
cs.CRarXiv:2608.22218v22026
Lightweight Multi-scale Hierarchical Anomaly Detection and Localization for Geospatial Big Data Applications at the Edge
Thomas Benton Townsend, Joshua Bean, Benjamin K Tkach +2
eess.SPcs.LGeess.SYarXiv:2608.22648v12026
DRPG (Decompose, Retrieve, Plan, Generate): An Agentic Framework for Academic Rebuttal
Peixuan Han, Yingjie Yu, Jingjun Xu +1
cs.LGarXiv:2601.18081v22026
One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment
Hongru Cai, Yongqi Li, Tiezheng Yu +4
cs.CLcs.AIarXiv:2601.18731v22026
Deep Pyramidal Residual Networks
Dongyoon Han, Jiwhan Kim, Junmo Kim
cs.CVarXiv:1610.02915v42016
Revisiting Parameter Server in LLM Post-Training
Xinyi Wan, Penghui Qi, Guangxing Huang +3
cs.DCcs.AIarXiv:2601.19362v12026
BMAM: Brain-inspired Multi-Agent Memory Framework
Yang Li, Jiaxiang Liu, Yusong Wang +2
cs.CLarXiv:2601.20465v12026
Visual Transformers: Token-based Image Representation and Processing for Computer Vision
Bichen Wu, Chenfeng Xu, Xiaoliang Dai +7
cs.CVcs.LGeess.IVarXiv:2006.03677v42020
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
Vadim Popov, Ivan Vovk, Vladimir Gogoryan +2
cs.LGcs.CLstat.MLarXiv:2105.06337v22021
Iteration Without Elaboration: A Simple ReAct Architecture Suffices for Text-to-SQL Generation
Jian Lu, Haiwei Yu, Raymond M Xiong +2
cs.CLarXiv:2608.22651v12026
Why Attention Patterns Exist: A Unifying Temporal Perspective Analysis
Qingyue Yang, Jie Wang, Xing Li +6
cs.CLarXiv:2601.21709v12026
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment
Hanze Dong, Wei Xiong, Deepanshu Goyal +7
cs.LGcs.AIcs.CLarXiv:2304.06767v42023
Spotlighting Task-Relevant Features: Object-Centric Representations for Better Generalization in Robotic Manipulation
Alexandre Chapin, Bruno Machado, Emmanuel Dellandréa +1
cs.ROarXiv:2601.21416v22026
Automatic Prompt Optimization with "Gradient Descent" and Beam Search
Reid Pryzant, Dan Iter, Jerry Li +3
cs.CLcs.AIcs.LGarXiv:2305.03495v22023
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering
Yingqi Qu, Yuchen Ding, Jing Liu +6
cs.CLcs.IRarXiv:2010.08191v22020
PLANING: A Loosely Coupled Triangle-Gaussian Framework for Streaming 3D Reconstruction
Changjian Jiang, Kerui Ren, Xudong Li +8
cs.CVarXiv:2601.22046v42026
Medical Image Synthesis with Context-Aware Generative Adversarial Networks
Dong Nie, Roger Trullo, Caroline Petitjean +2
cs.CVarXiv:1612.05362v12016
Language-based Trial and Error Falls Behind in the Era of Experience
Haoyu Wang, Guozheng Ma, Shugang Cui +7
cs.AIarXiv:2601.21754v32026
Where Cognition Lives: Dissecting Emergent from Computed Function in a Minimal Complete Cognitive Architecture
Francisco M. Arrabal-Campos, Francisco G. Montoya, Alfredo Alcayde +1
cs.AIcs.CLcs.LGarXiv:2608.22347v12026
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
Felipe Petroski Such, Vashisht Madhavan, Edoardo Conti +3
cs.NEcs.LGarXiv:1712.06567v32017
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
Aditya Prakash, Kashyap Chitta, Andreas Geiger
cs.CVcs.AIcs.LGarXiv:2104.09224v12021
A Semantically Consistent Dataset for Data-Efficient Query-Based Universal Sound Separation
Kai Li, Jintao Cheng, Chang Zeng +5
cs.SDcs.HCarXiv:2601.22599v22026
Variational Information Distillation for Knowledge Transfer
Sungsoo Ahn, Shell Xu Hu, Andreas Damianou +2
cs.CVcs.AIcs.LGarXiv:1904.05835v12019
Memory and information processing in neuromorphic systems
Giacomo Indiveri, Shih-Chii Liu
cs.NEarXiv:1506.03264v12015
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
Han Xu, Yao Ma, Haochen Liu +4
cs.LGcs.CRstat.MLarXiv:1909.08072v22019
Automatic detection of Gen-AI texts: A comparative framework of neural models
Cristian Buttaro, Irene Amerini
cs.CLarXiv:2603.18750v12026
Glance and Focus Reinforcement for Pan-cancer Screening
Linshan Wu, Jiaxin Zhuang, Hao Chen
cs.CVarXiv:2601.19103v22026
Big Self-Supervised Models Advance Medical Image Classification
Shekoofeh Azizi, Basil Mustafa, Fiona Ryan +9
eess.IVcs.CVcs.LGarXiv:2101.05224v22021
VISTA: Test-Time Compositional Alignment for Visual Autoregressive Generation
Hossein Shahabadi, Niki Sepasian, Mahdieh Soleymani Baghshah
cs.CVarXiv:2608.22521v12026
Revisiting Self-Supervised Visual Representation Learning
Alexander Kolesnikov, Xiaohua Zhai, Lucas Beyer
cs.CVarXiv:1901.09005v12019
Rust for Secure Backend Development: A Critical Review and Extended Vulnerability Comparison with Node.js and Django
Md Zarzees Uddin Shah Chowdhury, Rabib Jahin Ibn Momin, Rifat Shahriyar
cs.PLcs.CRarXiv:2608.22624v12026
Conformer: Local Features Coupling Global Representations for Visual Recognition
Zhiliang Peng, Wei Huang, Shanzhi Gu +4
cs.CVarXiv:2105.03889v12021
VISTA-PATH: An interactive foundation model for pathology image segmentation and quantitative analysis in computational pathology
Peixian Liang, Songhao Li, Shunsuke Koga +5
cs.CVarXiv:2601.16451v12026
RAMP: Reinforcement Adaptive Mixed Precision Quantization for Efficient On Device LLM Inference
Arpit Singh Gautam, Saurabh Jha
cs.LGcs.AIarXiv:2603.17891v12026
Physical Agentic AI: An Architecture for Orchestrating a Robot Crew with LLMs
Xinyuan Liu, Eren Sadikoglu, Riana Chatterjee +1
cs.ROcs.AIcs.MAarXiv:2608.22657v12026

Every paper with a summary

Meta$^n$: Recursive Self-Improvement through Emergent Depth

Lost in the Prompt Order: Revealing the Limitations of Causal Attention in Language Models

XR: Cross-Modal Agents for Composed Image Retrieval

VideoMaMa: Mask-Guided Video Matting via Generative Prior

Gated Context Aggregation Network for Image Dehazing and Deraining

Structure and Content-Guided Video Synthesis with Diffusion Models

On-policy Distillation with Verifiable Reward

A Comprehensive Overhaul of Feature Distillation

Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies

Learning a Deep Embedding Model for Zero-Shot Learning

GroupViT: Semantic Segmentation Emerges from Text Supervision

A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning

VIOLA: Towards Video In-Context Learning with Minimal Annotations

The Impact of AI on Developer Productivity: Evidence from GitHub Copilot

Consensus of Multi-Agent Systems with General Linear and Lipschitz Nonlinear Dynamics Using Distributed Adaptive Protocols

Integrating sequencing datasets to form highly confident SNP and indel genotype calls for a whole human genome

RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-Agents

Training Reasoning Models on Saturated Problems via Failure-Prefix Conditioning

GDCNet: Generative Discrepancy Comparison Network for Multimodal Sarcasm Detection

Deep Learning COVID-19 Features on CXR using Limited Training Data Sets

Spatial-Spectral Joint Detection for Wideband Spectrum Sensing in Cognitive Radio Networks

Reinforcement Learning from Meta-Evaluation: Aligning Language Models Without Ground-Truth Labels

ECO: Quantized Training without Full-Precision Master Weights

DIFFA-2: A Practical Diffusion Large Language Model for General Audio Understanding

Deep Cross-Modal Hashing

PURA: Provably Unbiased and Robust Multi-Bit Watermarking for AI-Generated Text Attribution

Lightweight Multi-scale Hierarchical Anomaly Detection and Localization for Geospatial Big Data Applications at the Edge

DRPG (Decompose, Retrieve, Plan, Generate): An Agentic Framework for Academic Rebuttal

One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment

Deep Pyramidal Residual Networks

Revisiting Parameter Server in LLM Post-Training

BMAM: Brain-inspired Multi-Agent Memory Framework

Visual Transformers: Token-based Image Representation and Processing for Computer Vision

Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech

Iteration Without Elaboration: A Simple ReAct Architecture Suffices for Text-to-SQL Generation

Why Attention Patterns Exist: A Unifying Temporal Perspective Analysis

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

Spotlighting Task-Relevant Features: Object-Centric Representations for Better Generalization in Robotic Manipulation

Automatic Prompt Optimization with "Gradient Descent" and Beam Search

RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering

PLANING: A Loosely Coupled Triangle-Gaussian Framework for Streaming 3D Reconstruction

Medical Image Synthesis with Context-Aware Generative Adversarial Networks

Language-based Trial and Error Falls Behind in the Era of Experience

Where Cognition Lives: Dissecting Emergent from Computed Function in a Minimal Complete Cognitive Architecture

Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning

Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

A Semantically Consistent Dataset for Data-Efficient Query-Based Universal Sound Separation

Variational Information Distillation for Knowledge Transfer

Memory and information processing in neuromorphic systems

Adversarial Attacks and Defenses in Images, Graphs and Text: A Review

Automatic detection of Gen-AI texts: A comparative framework of neural models

Glance and Focus Reinforcement for Pan-cancer Screening

Big Self-Supervised Models Advance Medical Image Classification

VISTA: Test-Time Compositional Alignment for Visual Autoregressive Generation

Revisiting Self-Supervised Visual Representation Learning

Rust for Secure Backend Development: A Critical Review and Extended Vulnerability Comparison with Node.js and Django

Conformer: Local Features Coupling Global Representations for Visual Recognition

VISTA-PATH: An interactive foundation model for pathology image segmentation and quantitative analysis in computational pathology

RAMP: Reinforcement Adaptive Mixed Precision Quantization for Efficient On Device LLM Inference

Physical Agentic AI: An Architecture for Orchestrating a Robot Crew with LLMs