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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23,641 to 23,700 of 61,428

Learning Longer-term Dependencies in RNNs with Auxiliary Losses
Trieu H. Trinh, Andrew M. Dai, Minh-Thang Luong +1
cs.LGcs.AIstat.MLarXiv:1803.00144v32018
The opportunities and risks of large language models in mental health
Hannah R. Lawrence, Renee A. Schneider, Susan B. Rubin +3
cs.CLcs.AIcs.CYarXiv:2403.14814v32024
Uncertainty Quantification in Complex Simulation Models Using Ensemble Copula Coupling
Roman Schefzik, Thordis L. Thorarinsdottir, Tilmann Gneiting
stat.MEarXiv:1302.7149v22013
We Can Detect Your Bias: Predicting the Political Ideology of News Articles
Ramy Baly, Giovanni Da San Martino, James Glass +1
cs.CLarXiv:2010.05338v12020
Sheaves, Cosheaves and Applications
Justin Curry
math.ATmath.RTarXiv:1303.3255v22013
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
Bo Liu, Yifeng Zhu, Chongkai Gao +4
cs.AIarXiv:2306.03310v22023
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Soham De, Samuel L. Smith, Anushan Fernando +14
cs.LGcs.CLarXiv:2402.19427v12024
Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization
Xiao Wang, Shiqian Ma, Donald Goldfarb +1
math.OCcs.LGmath.NAarXiv:1607.01231v42016
Joint Transmit Beamforming and Receive Power Splitting for MISO SWIPT Systems
Qingjiang Shi, Liang Liu, Weiqiang Xu +1
cs.ITarXiv:1304.0062v32013
Statistical Rejection Sampling Improves Preference Optimization
Tianqi Liu, Yao Zhao, Rishabh Joshi +4
cs.CLarXiv:2309.06657v22023
Reweighted Wake-Sleep
Jörg Bornschein, Yoshua Bengio
cs.LGarXiv:1406.2751v42014
Dense Process Supervision for Search Agents via Fact Utility Estimation
Rongzhi Zhu, Xiangyu Liu, Yi Liu +7
cs.CLcs.LGarXiv:2609.00833v12026
High-threshold and low-overhead fault-tolerant quantum memory
Sergey Bravyi, Andrew W. Cross, Jay M. Gambetta +3
quant-phcs.ETarXiv:2308.07915v22023
Efficient Memory Management for Large Language Model Serving with PagedAttention
Woosuk Kwon, Zhuohan Li, Siyuan Zhuang +6
cs.LGcs.DCarXiv:2309.06180v12023
3D Gaussian Splatting for Real-Time Radiance Field Rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler +1
cs.GRcs.CVarXiv:2308.04079v12023
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification
Qitian Wu, Wentao Zhao, Zenan Li +2
cs.LGcs.AIarXiv:2306.08385v12023
QuIP: 2-Bit Quantization of Large Language Models With Guarantees
Jerry Chee, Yaohui Cai, Volodymyr Kuleshov +1
cs.LGcs.CLarXiv:2307.13304v22023
AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System
Yuzhe Qin, Wei Yang, Binghao Huang +5
cs.ROcs.CVcs.LGarXiv:2307.04577v32023
A Race Track Trapped-Ion Quantum Processor
S. A. Moses, C. H. Baldwin, M. S. Allman +93
quant-pharXiv:2305.03828v22023
Extending Context Window of Large Language Models via Positional Interpolation
Shouyuan Chen, Sherman Wong, Liangjian Chen +1
cs.CLcs.AIcs.LGarXiv:2306.15595v22023
Confidence sets for persistence diagrams
Brittany Terese Fasy, Fabrizio Lecci, Alessandro Rinaldo +3
math.STcs.CGcs.LGarXiv:1303.7117v32013
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
Pan Lu, Baolin Peng, Hao Cheng +5
cs.CLcs.AIcs.CVarXiv:2304.09842v32023
Resurrecting Recurrent Neural Networks for Long Sequences
Antonio Orvieto, Samuel L Smith, Albert Gu +4
cs.LGarXiv:2303.06349v12023
Larger language models do in-context learning differently
Jerry Wei, Jason Wei, Yi Tay +8
cs.CLarXiv:2303.03846v22023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications
Anqi Mao, Mehryar Mohri, Yutao Zhong
cs.LGstat.MLarXiv:2304.07288v22023
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies
Moritz Reuss, Maximilian Li, Xiaogang Jia +1
cs.LGcs.ROarXiv:2304.02532v22023
One Fits All:Power General Time Series Analysis by Pretrained LM
Tian Zhou, PeiSong Niu, Xue Wang +2
cs.LGcs.AIarXiv:2302.11939v62023
GBM Volumetry using the 3D Slicer Medical Image Computing Platform
Jan Egger, Tina Kapur, Andriy Fedorov +7
cs.CVarXiv:1303.0964v12013
Nerfstudio: A Modular Framework for Neural Radiance Field Development
Matthew Tancik, Ethan Weber, Evonne Ng +10
cs.CVcs.GRarXiv:2302.04264v42023
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models
Biao Zhang, Jiapeng Tang, Matthias Niessner +1
cs.CVcs.GRarXiv:2301.11445v32023
Galactica: A Large Language Model for Science
Ross Taylor, Marcin Kardas, Guillem Cucurull +6
cs.CLstat.MLarXiv:2211.09085v12022
ADBench: Anomaly Detection Benchmark
Songqiao Han, Xiyang Hu, Hailiang Huang +2
cs.LGcs.AIarXiv:2206.09426v22022
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation
Haochen Wang, Xiaodan Du, Jiahao Li +2
cs.CVcs.LGarXiv:2212.00774v12022
An Introductory Study on Time Series Modeling and Forecasting
Ratnadip Adhikari, R. K. Agrawal
cs.LGstat.MLarXiv:1302.6613v12013
MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding
Yuxin Zuo, Shang Qu, Yifei Li +6
cs.AIcs.CLcs.CVarXiv:2501.18362v32025
Scaling Instruction-Finetuned Language Models
Hyung Won Chung, Le Hou, Shayne Longpre +32
cs.LGcs.CLarXiv:2210.11416v52022
Sampling Algorithms and Coresets for Lp Regression
Anirban Dasgupta, Petros Drineas, Boulos Harb +2
cs.DSarXiv:0707.1714v12007
TabLLM: Few-shot Classification of Tabular Data with Large Language Models
Stefan Hegselmann, Alejandro Buendia, Hunter Lang +3
cs.CLcs.AIarXiv:2210.10723v22022
Regularized rank-based estimation of high-dimensional nonparanormal graphical models
Lingzhou Xue, Hui Zou
math.STarXiv:1302.3082v12013
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Cheng Lu, Yuhao Zhou, Fan Bao +3
cs.LGcs.CVarXiv:2211.01095v32022
Analytic and Algorithmic Aspects of Generalized Harmonic Sums and Polylogarithms
Jakob Ablinger, Johannes Blümlein, Carsten Schneider
math-phcs.SChep-pharXiv:1302.0378v12013
Pure Transformers are Powerful Graph Learners
Jinwoo Kim, Tien Dat Nguyen, Seonwoo Min +4
cs.LGcs.AIarXiv:2207.02505v22022
Optimal rates of convergence for sparse covariance matrix estimation
T. Tony Cai, Harrison H. Zhou
math.STarXiv:1302.3030v12013
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Haoming Wang, Haoyang Zou, Huatong Song +109
cs.AIcs.CLcs.CVarXiv:2509.02544v22025
Solving Quantitative Reasoning Problems with Language Models
Aitor Lewkowycz, Anders Andreassen, David Dohan +11
cs.CLcs.AIcs.LGarXiv:2206.14858v22022
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation
Hermann Blum, Paul-Edouard Sarlin, Juan Nieto +2
cs.CVarXiv:1904.03215v42019
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions
Yongming Rao, Wenliang Zhao, Yansong Tang +3
cs.CVarXiv:2207.14284v32022
EmbeddingGemma: Powerful and Lightweight Text Representations
Henrique Schechter Vera, Sahil Dua, Biao Zhang +86
cs.CLcs.AIarXiv:2509.20354v32025
Deep Impact: Unintended consequences of journal rank
Björn Brembs, Marcus Munafò
cs.DLphysics.soc-phstat.OTarXiv:1301.3748v32013
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
Zehao Yu, Songyou Peng, Michael Niemeyer +2
cs.CVarXiv:2206.00665v22022
Measuring the Carbon Intensity of AI in Cloud Instances
Jesse Dodge, Taylor Prewitt, Remi Tachet Des Combes +7
cs.LGarXiv:2206.05229v12022
Robust subspace clustering
Mahdi Soltanolkotabi, Ehsan Elhamifar, Emmanuel J. Candès
cs.LGcs.ITmath.OCarXiv:1301.2603v32013
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
Cheng Lu, Yuhao Zhou, Fan Bao +3
cs.LGstat.MLarXiv:2206.00927v32022
Overcoming catastrophic forgetting in neural networks
Brandon Shuen Yi Loke, Filippo Quadri, Gabriel Vivanco +2
cs.LGcs.IRarXiv:2507.10485v12025
A high-resolution canopy height model of the Earth
Nico Lang, Walter Jetz, Konrad Schindler +1
cs.CVcs.LGeess.IVarXiv:2204.08322v12022
Towards Metrical Reconstruction of Human Faces
Wojciech Zielonka, Timo Bolkart, Justus Thies
cs.CVarXiv:2204.06607v22022
When and why PINNs fail to train: A neural tangent kernel perspective
Sifan Wang, Xinling Yu, Paris Perdikaris
cs.LGmath.NAstat.MLarXiv:2007.14527v12020
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation
Minkai Xu, Lantao Yu, Yang Song +3
cs.LGq-bio.QMarXiv:2203.02923v12022
Geo-Indistinguishability: Differential Privacy for Location-Based Systems
Miguel E. Andrés, Nicolás E. Bordenabe, Konstantinos Chatzikokolakis +1
cs.CRarXiv:1212.1984v32012
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
Ananya Kumar, Aditi Raghunathan, Robbie Jones +2
cs.LGcs.CVarXiv:2202.10054v12022

Every paper with a summary

Learning Longer-term Dependencies in RNNs with Auxiliary Losses

The opportunities and risks of large language models in mental health

Uncertainty Quantification in Complex Simulation Models Using Ensemble Copula Coupling

We Can Detect Your Bias: Predicting the Political Ideology of News Articles

Sheaves, Cosheaves and Applications

LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning

Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization

Joint Transmit Beamforming and Receive Power Splitting for MISO SWIPT Systems

Statistical Rejection Sampling Improves Preference Optimization

Reweighted Wake-Sleep

Dense Process Supervision for Search Agents via Fact Utility Estimation

High-threshold and low-overhead fault-tolerant quantum memory

Efficient Memory Management for Large Language Model Serving with PagedAttention

3D Gaussian Splatting for Real-Time Radiance Field Rendering

NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification

QuIP: 2-Bit Quantization of Large Language Models With Guarantees

AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System

A Race Track Trapped-Ion Quantum Processor

Extending Context Window of Large Language Models via Positional Interpolation

Confidence sets for persistence diagrams

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models

Resurrecting Recurrent Neural Networks for Long Sequences

Larger language models do in-context learning differently

Cross-Entropy Loss Functions: Theoretical Analysis and Applications

Goal-Conditioned Imitation Learning using Score-based Diffusion Policies

One Fits All:Power General Time Series Analysis by Pretrained LM

GBM Volumetry using the 3D Slicer Medical Image Computing Platform

Nerfstudio: A Modular Framework for Neural Radiance Field Development

3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models

Galactica: A Large Language Model for Science

ADBench: Anomaly Detection Benchmark

Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation

An Introductory Study on Time Series Modeling and Forecasting

MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding

Scaling Instruction-Finetuned Language Models

Sampling Algorithms and Coresets for Lp Regression

TabLLM: Few-shot Classification of Tabular Data with Large Language Models

Regularized rank-based estimation of high-dimensional nonparanormal graphical models

DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Analytic and Algorithmic Aspects of Generalized Harmonic Sums and Polylogarithms

Pure Transformers are Powerful Graph Learners

Optimal rates of convergence for sparse covariance matrix estimation

UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning

Solving Quantitative Reasoning Problems with Language Models

The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation

HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions

EmbeddingGemma: Powerful and Lightweight Text Representations

Deep Impact: Unintended consequences of journal rank

MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

Measuring the Carbon Intensity of AI in Cloud Instances

Robust subspace clustering

DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps

Overcoming catastrophic forgetting in neural networks

A high-resolution canopy height model of the Earth

Towards Metrical Reconstruction of Human Faces

When and why PINNs fail to train: A neural tangent kernel perspective

GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Geo-Indistinguishability: Differential Privacy for Location-Based Systems

Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution