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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54,241 to 54,300 of 119,186

Mini-Batch Risk-Averse Deep Q-Learning: A Robot Navigation Case Study
Aayush Patel, Andrzej Ruszczyński
cs.AImath.OCarXiv:2609.07998v12026
Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection
Yangchen Zeng, Zhenyu Yu, Dongming Jiang +5
cs.CVarXiv:2604.15065v12026
Sign conditions for injectivity of generalized polynomial maps with applications to chemical reaction networks and real algebraic geometry
Stefan Müller, Elisenda Feliu, Georg Regensburger +3
math.AGmath.DSarXiv:1311.5493v22013
The Second DIHARD Diarization Challenge: Dataset, task, and baselines
Neville Ryant, Kenneth Church, Christopher Cieri +4
eess.AScs.CLarXiv:1906.07839v12019
CalVerT: Augmenting Agents with Calibrated Verifier Telemetry Improves Action and Learning in Knowledge-Intensive Tasks
Ashwin Vinod, Ying Ding, Elias Stengel-Eskin
cs.CLcs.AIarXiv:2606.21777v12026
Line Graphs, Link Partitions and Overlapping Communities
T. S. Evans, R. Lambiotte
physics.soc-phphysics.data-anarXiv:0903.2181v22009
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning
Junhyuk Oh, Satinder Singh, Honglak Lee +1
cs.AIcs.LGarXiv:1706.05064v22017
New insights and perspectives on the natural gradient method
James Martens
cs.LGstat.MLarXiv:1412.1193v112014
A quasipolynomial-time algorithm for the quantum separability problem
Fernando G. S. L. Brandao, Matthias Christandl, Jon Yard
quant-phcs.CCarXiv:1011.2751v22010
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases
Ryan Steed, Aylin Caliskan
cs.CYcs.CVarXiv:2010.15052v32020
On the Adjoint Operator in Photoacoustic Tomography
Simon R. Arridge, Marta M. Betcke, Ben T. Cox +2
math.NAcs.NAarXiv:1602.02027v22016
Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing
Benedikt Boecking, Naoto Usuyama, Shruthi Bannur +9
cs.CVcs.CLarXiv:2204.09817v42022
StegaStamp: Invisible Hyperlinks in Physical Photographs
Matthew Tancik, Ben Mildenhall, Ren Ng
cs.CVarXiv:1904.05343v22019
Trajectory Optimization Through Contacts and Automatic Gait Discovery for Quadrupeds
Michael Neunert, Farbod Farshidian, Alexander W. Winkler +1
cs.ROarXiv:1607.04537v12016
I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference
Zhikai Li, Qingyi Gu
cs.CVarXiv:2207.01405v42022
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Xinyu Guan, Li Lyna Zhang, Yifei Liu +5
cs.CLarXiv:2501.04519v12025
Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models
Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao +5
cs.ROcs.CVcs.LGarXiv:2310.17642v12023
RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
Yantao Liu, Zijun Yao, Rui Min +3
cs.CLarXiv:2410.16184v12024
A decentralized proximal-gradient method with network independent step-sizes and separated convergence rates
Zhi Li, Wei Shi, Ming Yan
math.OCcs.DCcs.LGarXiv:1704.07807v22017
Resume Means Resume: A Machine-Checked Conformance Contract for Checkpoint, Interrupt, and Resume Semantics in Workflow Persistence Layers
Sajjad Khan
cs.LGcs.DCcs.LOarXiv:2608.03836v32026
Rethinking Learnability in Offline Data-driven Optimization
Chao Qian, Chen-Guang Wang, Rong-Xi Tan +1
cs.LGcs.AIcs.NEarXiv:2609.01493v22026
ADELE - Adaptive Delaunay Grids for High-Fidelity Mesh-Native Reconstruction
Johannes Weidenfeller, Shaofei Wang, Philipp Fürnstahl +1
cs.CVcs.GRarXiv:2609.06723v12026
Planning with Diffusion for Flexible Behavior Synthesis
Michael Janner, Yilun Du, Joshua B. Tenenbaum +1
cs.LGcs.AIarXiv:2205.09991v22022
New Important Developments in Small Area Estimation
Danny Pfeffermann
stat.MEarXiv:1302.4907v12013
TRUE: Re-evaluating Factual Consistency Evaluation
Or Honovich, Roee Aharoni, Jonathan Herzig +7
cs.CLarXiv:2204.04991v32022
A flexible and fast PyTorch toolkit for simulating training and inference on analog crossbar arrays
Malte J. Rasch, Diego Moreda, Tayfun Gokmen +6
cs.LGcs.ARarXiv:2104.02184v12021
Contrast and Generation Make BART a Good Dialogue Emotion Recognizer
Shimin Li, Hang Yan, Xipeng Qiu
cs.CLarXiv:2112.11202v22021
Privileged Information Distillation for Language Models
Emiliano Penaloza, Dheeraj Vattikonda, Nicolas Gontier +3
cs.LGcs.AIarXiv:2602.04942v32026
Convolution-Free Medical Image Segmentation using Transformers
Davood Karimi, Serge Vasylechko, Ali Gholipour
eess.IVcs.CVarXiv:2102.13645v22021
Machine learning method for state preparation and gate synthesis on photonic quantum computers
Juan Miguel Arrazola, Thomas R. Bromley, Josh Izaac +3
quant-pharXiv:1807.10781v12018
A coupled phase field formulation for modelling fatigue cracking in lithium-ion battery electrode particles
W. Ai, B. Wu, E. Martínez-Pañeda
physics.chem-phcond-mat.mtrl-scics.CEarXiv:2206.12727v12022
Predicting, Evaluating, and Explaining Top Misinformation Spreaders via Archetypal User Behavior
Enrico Verdolotti, Luca Luceri, Silvia Giordano
cs.SIcs.CYcs.LGarXiv:2608.16323v12026
Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems
Yilun Zhao, Jinbiao Wei, Tingyu Song +3
cs.CLcs.IRarXiv:2605.04018v12026
On Mutual Information Maximization for Representation Learning
Michael Tschannen, Josip Djolonga, Paul K. Rubenstein +2
cs.LGstat.MLarXiv:1907.13625v22019
Singular Curvature in ReLU Training:Differentiation and the Gradient-Flow Limit Need Not Commute
Xiaoyang Li, Runni Zhou
cs.LGarXiv:2608.30960v12026
DeCo-MIL: Debiased Counterfactual Reasoning for Long-Tailed Whole Slide Image Analysis
Xiaoxiao Li, Xitong Ling, Jiawen Li +6
cs.CVcs.AIarXiv:2608.14719v12026
AUC Maximization in the Era of Big Data and AI: A Survey
Tianbao Yang, Yiming Ying
cs.LGcs.AImath.OCarXiv:2203.15046v32022
Towards Understanding the Fundamentals of Mobility in Cellular Networks
Xingqin Lin, Radha Krishna Ganti, Philip Fleming +1
cs.NIarXiv:1204.3447v22012
Scaling Vision Transformers to 22 Billion Parameters
Mostafa Dehghani, Josip Djolonga, Basil Mustafa +39
cs.CVcs.AIcs.LGarXiv:2302.05442v12023
Beyond Prompts: Unconditional 3D Inversion for Out-of-Distribution Shapes
Victoria Yue Chen, Emery Pierson, Léopold Maillard +1
cs.CVarXiv:2604.14914v22026
Simple security analysis of phase-matching measurement-device-independent quantum key distribution
Jie Lin, Norbert Lütkenhaus
quant-pharXiv:1807.10202v22018
Nonnegative approximations of nonnegative tensors
Lek-Heng Lim, Pierre Comon
math.NAcs.IRarXiv:0903.4530v22009
Kairos: Practical Intrusion Detection and Investigation using Whole-system Provenance
Zijun Cheng, Qiujian Lv, Jinyuan Liang +4
cs.CRcs.LGarXiv:2308.05034v32023
PolyGen: An Autoregressive Generative Model of 3D Meshes
Charlie Nash, Yaroslav Ganin, S. M. Ali Eslami +1
cs.GRcs.CVcs.LGarXiv:2002.10880v12020
Multiphase Flow Modelling in Multiscale Porous Media: An Open-Sourced Micro-Continuum Approach
Francisco J. Carrillo, Ian C. Bourg, Cyprien Soulaine
physics.comp-phphysics.flu-dynarXiv:2003.08374v12020
Solving a Million-Step LLM Task with Zero Errors
Elliot Meyerson, Giuseppe Paolo, Roberto Dailey +6
cs.AIcs.CLcs.MAarXiv:2511.09030v12025
RECALL: Replay-based Continual Learning in Semantic Segmentation
Andrea Maracani, Umberto Michieli, Marco Toldo +1
cs.CVarXiv:2108.03673v22021
Conditional Affordance Learning for Driving in Urban Environments
Axel Sauer, Nikolay Savinov, Andreas Geiger
cs.ROcs.LGeess.SYarXiv:1806.06498v32018
Understanding Before Reasoning: Enhancing Chain-of-Thought with Iterative Summarization Pre-Prompting
Dong-Hai Zhu, Yu-Jie Xiong, Jia-Chen Zhang +2
cs.CLarXiv:2501.04341v22025
Removing Batch Normalization Boosts Adversarial Training
Haotao Wang, Aston Zhang, Shuai Zheng +3
cs.LGcs.CVarXiv:2207.01156v12022
Epidemic thresholds of the Susceptible-Infected-Susceptible model on networks: A comparison of numerical and theoretical results
Silvio C. Ferreira, Claudio Castellano, Romualdo Pastor-Satorras
cond-mat.stat-mechcs.SIphysics.soc-pharXiv:1206.6728v22012
Building Fast and Compact Convolutional Neural Networks for Offline Handwritten Chinese Character Recognition
Xuefeng Xiao, Lianwen Jin, Yafeng Yang +3
cs.CVarXiv:1702.07975v12017
The ARM Scalable Vector Extension
Nigel Stephens, Stuart Biles, Matthias Boettcher +10
cs.ARcs.PFarXiv:1803.06185v12018
InternLM2.5-StepProver: Advancing Automated Theorem Proving via Critic-Guided Search
Zijian Wu, Suozhi Huang, Zhejian Zhou +5
cs.AIcs.CLarXiv:2410.15700v22024
GraphMemix: Query-Aware Evidence Forests for Long-Term Multimodal Agent Memory
Geng Li, Yuhao Wang, Dong Li +2
cs.AIarXiv:2608.26983v12026
Chess as a Testbed for Language Model State Tracking
Shubham Toshniwal, Sam Wiseman, Karen Livescu +1
cs.CLcs.AIarXiv:2102.13249v22021
Residual Dynamic Mode Decomposition: Robust and verified Koopmanism
Matthew J. Colbrook, Lorna J. Ayton, Máté Szőke
physics.flu-dyncs.LGcs.NAarXiv:2205.09779v12022
From Code Foundation Models to Agents and Applications: A Comprehensive Survey and Practical Guide to Code Intelligence
Jian Yang, Xianglong Liu, Weifeng Lv +68
cs.SEcs.CLarXiv:2511.18538v52025
MADD: Multi-Agent Drug Discovery Orchestra
Gleb V. Solovev, Alina B. Zhidkovskaya, Anastasia Orlova +18
cs.AIarXiv:2511.08217v12025
Learning Deep ResNet Blocks Sequentially using Boosting Theory
Furong Huang, Jordan Ash, John Langford +1
cs.LGarXiv:1706.04964v42017

Every paper with a summary

Mini-Batch Risk-Averse Deep Q-Learning: A Robot Navigation Case Study

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection

Sign conditions for injectivity of generalized polynomial maps with applications to chemical reaction networks and real algebraic geometry

The Second DIHARD Diarization Challenge: Dataset, task, and baselines

CalVerT: Augmenting Agents with Calibrated Verifier Telemetry Improves Action and Learning in Knowledge-Intensive Tasks

Line Graphs, Link Partitions and Overlapping Communities

Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning

New insights and perspectives on the natural gradient method

A quasipolynomial-time algorithm for the quantum separability problem

Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases

On the Adjoint Operator in Photoacoustic Tomography

Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing

StegaStamp: Invisible Hyperlinks in Physical Photographs

Trajectory Optimization Through Contacts and Automatic Gait Discovery for Quadrupeds

I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models

RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style

A decentralized proximal-gradient method with network independent step-sizes and separated convergence rates

Resume Means Resume: A Machine-Checked Conformance Contract for Checkpoint, Interrupt, and Resume Semantics in Workflow Persistence Layers

Rethinking Learnability in Offline Data-driven Optimization

ADELE - Adaptive Delaunay Grids for High-Fidelity Mesh-Native Reconstruction

Planning with Diffusion for Flexible Behavior Synthesis

New Important Developments in Small Area Estimation

TRUE: Re-evaluating Factual Consistency Evaluation

A flexible and fast PyTorch toolkit for simulating training and inference on analog crossbar arrays

Contrast and Generation Make BART a Good Dialogue Emotion Recognizer

Privileged Information Distillation for Language Models

Convolution-Free Medical Image Segmentation using Transformers

Machine learning method for state preparation and gate synthesis on photonic quantum computers

A coupled phase field formulation for modelling fatigue cracking in lithium-ion battery electrode particles

Predicting, Evaluating, and Explaining Top Misinformation Spreaders via Archetypal User Behavior

Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems

On Mutual Information Maximization for Representation Learning

Singular Curvature in ReLU Training:Differentiation and the Gradient-Flow Limit Need Not Commute

DeCo-MIL: Debiased Counterfactual Reasoning for Long-Tailed Whole Slide Image Analysis

AUC Maximization in the Era of Big Data and AI: A Survey

Towards Understanding the Fundamentals of Mobility in Cellular Networks

Scaling Vision Transformers to 22 Billion Parameters

Beyond Prompts: Unconditional 3D Inversion for Out-of-Distribution Shapes

Simple security analysis of phase-matching measurement-device-independent quantum key distribution

Nonnegative approximations of nonnegative tensors

Kairos: Practical Intrusion Detection and Investigation using Whole-system Provenance

PolyGen: An Autoregressive Generative Model of 3D Meshes

Multiphase Flow Modelling in Multiscale Porous Media: An Open-Sourced Micro-Continuum Approach

Solving a Million-Step LLM Task with Zero Errors

RECALL: Replay-based Continual Learning in Semantic Segmentation

Conditional Affordance Learning for Driving in Urban Environments

Understanding Before Reasoning: Enhancing Chain-of-Thought with Iterative Summarization Pre-Prompting

Removing Batch Normalization Boosts Adversarial Training

Epidemic thresholds of the Susceptible-Infected-Susceptible model on networks: A comparison of numerical and theoretical results

Building Fast and Compact Convolutional Neural Networks for Offline Handwritten Chinese Character Recognition

The ARM Scalable Vector Extension

InternLM2.5-StepProver: Advancing Automated Theorem Proving via Critic-Guided Search

GraphMemix: Query-Aware Evidence Forests for Long-Term Multimodal Agent Memory

Chess as a Testbed for Language Model State Tracking

Residual Dynamic Mode Decomposition: Robust and verified Koopmanism

From Code Foundation Models to Agents and Applications: A Comprehensive Survey and Practical Guide to Code Intelligence

MADD: Multi-Agent Drug Discovery Orchestra

Learning Deep ResNet Blocks Sequentially using Boosting Theory