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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70,081 to 70,140 of 106,169

Breaking the Capability Ceiling of LLM Post-Training by Reintroducing Markov States
Yurun Yuan, Tengyang Xie
cs.LGcs.AIcs.CLarXiv:2603.19987v12026
Beyond Code Generation: Reliability, Verification, and Cost Economics in the Agentic Software Development Lifecycle
Happy Bhati
cs.SEcs.AIarXiv:2609.04681v12026
Geometry Uncertainty Projection Network for Monocular 3D Object Detection
Yan Lu, Xinzhu Ma, Lei Yang +5
cs.CVarXiv:2107.13774v22021
Recurrent Pixel Embedding for Instance Grouping
Shu Kong, Charless Fowlkes
cs.CVcs.LGcs.MMarXiv:1712.08273v12017
AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers
Reduan Achtibat, Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer +4
cs.CLcs.AIcs.CVarXiv:2402.05602v22024
Transmit MIMO Radar Beampattern Design Via Optimization on the Complex Circle Manifol
Khaled Alhujaili, Vishal Monga, Muralidhar Rangaswamy
eess.SParXiv:1904.07329v12019
Video Inpainting by Jointly Learning Temporal Structure and Spatial Details
Chuan Wang, Haibin Huang, Xiaoguang Han +1
cs.CVarXiv:1806.08482v22018
Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks
Elena Smirnova, Flavian Vasile
cs.IRarXiv:1706.07684v12017
LEGO-Prover: Neural Theorem Proving with Growing Libraries
Haiming Wang, Huajian Xin, Chuanyang Zheng +11
cs.AIarXiv:2310.00656v32023
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
Tuan-Hung Vu, Himalaya Jain, Maxime Bucher +2
cs.CVarXiv:1811.12833v22018
Neural Network Potentials: A Concise Overview of Methods
Emir Kocer, Tsz Wai Ko, Jörg Behler
physics.chem-pharXiv:2107.03727v12021
The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding vs. Dynamic Range
Mark A. Davenport, Jason N. Laska, John R. Treichler +1
cs.ITarXiv:1104.4842v42011
Benchmarks for single-phase flow in fractured porous media
Bernd Flemisch, Inga Berre, Wietse Boon +5
math.NAcs.CEarXiv:1701.01496v12017
Optimal Transport Aggregation for Visual Place Recognition
Sergio Izquierdo, Javier Civera
cs.CVarXiv:2311.15937v22023
Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs
Pengrui Han, Xueqiang Xu, Keyang Xuan +12
cs.AIcs.CLcs.LGarXiv:2602.07276v12026
VidVec: Unlocking Video MLLM Embeddings for Video-Text Retrieval
Issar Tzachor, Dvir Samuel, Rami Ben-Ari
cs.CVcs.AIarXiv:2602.08099v12026
Surprises in High-Dimensional Ridgeless Least Squares Interpolation
Trevor Hastie, Andrea Montanari, Saharon Rosset +1
math.STcs.LGstat.MLarXiv:1903.08560v52019
On the Tightness and Computational Tractability of Higher-Dimensional Confidence Sequences
Fabian Denoodt, Sibylle Hess, Joaquin Vanschoren +1
stat.MLstat.MEarXiv:2610.03727v12026
Off-Policy Actor-Critic
Thomas Degris, Martha White, Richard S. Sutton
cs.LGarXiv:1205.4839v52012
Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses
Pengcheng Jiang, Zhiyi Shi, Kelly Hong +5
cs.AIcs.CLcs.IRarXiv:2606.02373v12026
Quantizing deep convolutional networks for efficient inference: A whitepaper
Raghuraman Krishnamoorthi
cs.LGcs.CVstat.MLarXiv:1806.08342v12018
When Do VLMs Help Arabic Manuscript OCR? A Cross-Dataset Study
Moshiur Farazi, Firoj Alam, Abderrahmane Maaradji +3
cs.CVarXiv:2608.22366v12026
Comprehensive Verilog Design Problems: A Next-Generation Benchmark Dataset for Evaluating Large Language Models and Agents on RTL Design and Verification
Nathaniel Pinckney, Chenhui Deng, Chia-Tung Ho +5
cs.LGcs.ARarXiv:2506.14074v12025
Structure for Reading, Prose for Writing: Asymmetric Structural Conditioning in Multi-Agent Document Authoring
Cheng Yu, Nikhil Mathew, Zhengjie Wang
cs.AIcs.IRarXiv:2608.20786v12026
GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding
Cunxiao Du, Jing Jiang, Xu Yuanchen +8
cs.CLarXiv:2402.02082v12024
FineInstructions: Scaling Synthetic Instructions to Pre-Training Scale
Ajay Patel, Colin Raffel, Chris Callison-Burch
cs.CLcs.LGarXiv:2601.22146v32026
Uniqueness of reconstruction and an inversion procedure for thermoacoustic and photoacoustic tomography
Mark Agranovsky, Peter Kuchment
math.NAcs.NAmath-pharXiv:0706.0598v12007
Learning-guided Kansa collocation for forward and inverse PDEs beyond linearity
Zheyuan Hu, Weitao Chen, Cengiz Öztireli +2
cs.CEcs.AIcs.LGarXiv:2602.07970v32026
Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites
Arunesh Mathur, Gunes Acar, Michael J. Friedman +4
cs.HCcs.CYarXiv:1907.07032v22019
On the Robustness of Interpretability Methods
David Alvarez-Melis, Tommi S. Jaakkola
cs.LGstat.MLarXiv:1806.08049v12018
A survey on pseudonym changing strategies for Vehicular Ad-Hoc Networks
Abdelwahab Boualouache, Sidi-Mohammed Senouci, Samira Moussaoui
cs.CRarXiv:1704.00679v12017
SwanWeave:One-Stage Multi-Task Instruction-Guided 3D Spatial Audio Editing
Ke Lei, Chenyuhao Wen, Yu Zhang +9
cs.SDarXiv:2609.04975v12026
Squeeze-Release: Iterative Pruning with Exact Structural Minimization
Roman Denkin, Ida Akerholm, Prashant Singh +1
cs.LGcs.AIarXiv:2606.14346v12026
GRiT: A Generative Region-to-text Transformer for Object Understanding
Jialian Wu, Jianfeng Wang, Zhengyuan Yang +4
cs.CVarXiv:2212.00280v12022
AIMS: An Agentic AI Framework for Sim-to-Real Multi-Modal ISAC
Yijie Bian, Kai Zhang, Wei Guo +4
cs.AIcs.MAarXiv:2609.39964v12026
PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parameterized Steady-State PDEs on Irregular Domain
Han Gao, Luning Sun, Jian-Xun Wang
eess.IVphysics.flu-dynarXiv:2004.13145v22020
A family of optimal locally recoverable codes
Itzhak Tamo, Alexander Barg
cs.ITarXiv:1311.3284v22013
Unified Reward Model for Multimodal Understanding and Generation
Yibin Wang, Yuhang Zang, Hao Li +2
cs.CVarXiv:2503.05236v22025
Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
Katie Matton, Robert Osazuwa Ness, John Guttag +1
cs.CLcs.AIcs.LGarXiv:2504.14150v22025
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
Sai Praneeth Karimireddy, Satyen Kale, Mehryar Mohri +3
cs.LGcs.DCmath.OCarXiv:1910.06378v42019
TransRetrieval: Scaling Up Transformer-Based Retrieval for Industrial Recommendation
Zhifei Zheng, Yunfei Liu, Bin Liu +7
cs.IRarXiv:2608.25528v12026
Self-sustained asynchronous irregular states and Up/Down states in thalamic, cortical and thalamocortical networks of nonlinear integrate-and-fire neurons
Alain Destexhe
q-bio.NCarXiv:0809.0654v42008
Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color
Mostafa Abdou, Artur Kulmizev, Daniel Hershcovich +3
cs.CVcs.CLarXiv:2109.06129v22021
PAKT: Physically-Aligned Kinesthetic Teaching for Reinforcement Learning
Lars Johannsmeier, Yashraj Narang
cs.ROarXiv:2609.25630v12026
When Does Label Smoothing Help?
Rafael Müller, Simon Kornblith, Geoffrey Hinton
cs.LGstat.MLarXiv:1906.02629v32019
Drive-HWM: Hierarchical World Models for Dynamic-Latent Guided Autonomous Driving
Zhaoxin Fan, Tianbao Zhang, Wenjun Wu +5
cs.CVarXiv:2609.03572v12026
AlphaFold Meets Flow Matching for Generating Protein Ensembles
Bowen Jing, Bonnie Berger, Tommi Jaakkola
q-bio.BMcs.LGarXiv:2402.04845v22024
ABrA-GD: Adaptive Bregman Accelerated Gradient Descent for Relatively Smooth and (Strongly-)Convex Optimization
Damien Scieur
math.OCcs.NAmath.NAarXiv:2609.38741v12026
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
Jan Matas, Stephen James, Andrew J. Davison
cs.ROcs.AIcs.LGarXiv:1806.07851v22018
Implicit Generation and Generalization in Energy-Based Models
Yilun Du, Igor Mordatch
cs.LGcs.CVstat.MLarXiv:1903.08689v62019
A Fast and Accurate Unconstrained Face Detector
Shengcai Liao, Anil K. Jain, Stan Z. Li
cs.CVarXiv:1408.1656v32014
Pretrained Transformers for Text Ranking: BERT and Beyond
Jimmy Lin, Rodrigo Nogueira, Andrew Yates
cs.IRcs.CLarXiv:2010.06467v32020
Joint Geometrical and Statistical Alignment for Visual Domain Adaptation
Jing Zhang, Wanqing Li, Philip Ogunbona
cs.CVarXiv:1705.05498v12017
Disentangled 3D Scene Generation with Layout Learning
Dave Epstein, Ben Poole, Ben Mildenhall +2
cs.CVcs.LGarXiv:2402.16936v12024
Online dynamic mode decomposition for time-varying systems
Hao Zhang, Clarence W. Rowley, Eric A. Deem +1
math.OCeess.SYphysics.comp-pharXiv:1707.02876v12017
Data Darwinism Part I: Unlocking the Value of Scientific Data for Pre-training
Yiwei Qin, Zhen Huang, Tiantian Mi +5
cs.AIcs.CLarXiv:2602.07824v12026
MOSS-Audio Technical Report
Chen Yang, Chufan Yu, Hanfu Chen +27
cs.SDcs.AIarXiv:2606.01802v32026
Adapting Neural Networks for the Estimation of Treatment Effects
Claudia Shi, David M. Blei, Victor Veitch
stat.MLcs.LGstat.MEarXiv:1906.02120v22019
SAL: Sign Agnostic Learning of Shapes from Raw Data
Matan Atzmon, Yaron Lipman
cs.CVcs.GRcs.LGarXiv:1911.10414v22019
Gaze360: Physically Unconstrained Gaze Estimation in the Wild
Petr Kellnhofer, Adria Recasens, Simon Stent +2
cs.CVarXiv:1910.10088v12019

Every paper with a summary

Breaking the Capability Ceiling of LLM Post-Training by Reintroducing Markov States

Beyond Code Generation: Reliability, Verification, and Cost Economics in the Agentic Software Development Lifecycle

Geometry Uncertainty Projection Network for Monocular 3D Object Detection

Recurrent Pixel Embedding for Instance Grouping

AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers

Transmit MIMO Radar Beampattern Design Via Optimization on the Complex Circle Manifol

Video Inpainting by Jointly Learning Temporal Structure and Spatial Details

Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks

LEGO-Prover: Neural Theorem Proving with Growing Libraries

ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

Neural Network Potentials: A Concise Overview of Methods

The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding vs. Dynamic Range

Benchmarks for single-phase flow in fractured porous media

Optimal Transport Aggregation for Visual Place Recognition

Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs

VidVec: Unlocking Video MLLM Embeddings for Video-Text Retrieval

Surprises in High-Dimensional Ridgeless Least Squares Interpolation

On the Tightness and Computational Tractability of Higher-Dimensional Confidence Sequences

Off-Policy Actor-Critic

Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses

Quantizing deep convolutional networks for efficient inference: A whitepaper

When Do VLMs Help Arabic Manuscript OCR? A Cross-Dataset Study

Comprehensive Verilog Design Problems: A Next-Generation Benchmark Dataset for Evaluating Large Language Models and Agents on RTL Design and Verification

Structure for Reading, Prose for Writing: Asymmetric Structural Conditioning in Multi-Agent Document Authoring

GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding

FineInstructions: Scaling Synthetic Instructions to Pre-Training Scale

Uniqueness of reconstruction and an inversion procedure for thermoacoustic and photoacoustic tomography

Learning-guided Kansa collocation for forward and inverse PDEs beyond linearity

Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites

On the Robustness of Interpretability Methods

A survey on pseudonym changing strategies for Vehicular Ad-Hoc Networks

SwanWeave:One-Stage Multi-Task Instruction-Guided 3D Spatial Audio Editing

Squeeze-Release: Iterative Pruning with Exact Structural Minimization

GRiT: A Generative Region-to-text Transformer for Object Understanding

AIMS: An Agentic AI Framework for Sim-to-Real Multi-Modal ISAC

PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parameterized Steady-State PDEs on Irregular Domain

A family of optimal locally recoverable codes

Unified Reward Model for Multimodal Understanding and Generation

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations

SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

TransRetrieval: Scaling Up Transformer-Based Retrieval for Industrial Recommendation

Self-sustained asynchronous irregular states and Up/Down states in thalamic, cortical and thalamocortical networks of nonlinear integrate-and-fire neurons

Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color

PAKT: Physically-Aligned Kinesthetic Teaching for Reinforcement Learning

When Does Label Smoothing Help?

Drive-HWM: Hierarchical World Models for Dynamic-Latent Guided Autonomous Driving

AlphaFold Meets Flow Matching for Generating Protein Ensembles

ABrA-GD: Adaptive Bregman Accelerated Gradient Descent for Relatively Smooth and (Strongly-)Convex Optimization

Sim-to-Real Reinforcement Learning for Deformable Object Manipulation

Implicit Generation and Generalization in Energy-Based Models

A Fast and Accurate Unconstrained Face Detector

Pretrained Transformers for Text Ranking: BERT and Beyond

Joint Geometrical and Statistical Alignment for Visual Domain Adaptation

Disentangled 3D Scene Generation with Layout Learning

Online dynamic mode decomposition for time-varying systems

Data Darwinism Part I: Unlocking the Value of Scientific Data for Pre-training

MOSS-Audio Technical Report

Adapting Neural Networks for the Estimation of Treatment Effects

SAL: Sign Agnostic Learning of Shapes from Raw Data

Gaze360: Physically Unconstrained Gaze Estimation in the Wild