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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60,601 to 60,660 of 114,464

From BERT to Frontier Agents: Eight Years of Language-Model Progress, the Collapse of the Capability-Cost Curve, and the Rise of Task-Targeted Models
Pranav Kumar Kaliaperumal
cs.LGcs.AIarXiv:2608.13675v12026
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding
Donghan Yu, Chenguang Zhu, Yiming Yang +1
cs.CLarXiv:2010.00796v12020
From Variational to Deterministic Autoencoders
Partha Ghosh, Mehdi S. M. Sajjadi, Antonio Vergari +2
cs.LGstat.MLarXiv:1903.12436v42019
Frequency dependence of signal power and spatial reach of the local field potential
Szymon Łęski, Henrik Lindén, Tom Tetzlaff +2
q-bio.NCq-bio.QMarXiv:1302.4559v12013
MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models
Peng Xu, Mostofa Patwary, Mohammad Shoeybi +4
cs.CLarXiv:2010.00840v12020
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages
Jay Gala, Pranjal A. Chitale, Raghavan AK +11
cs.CLarXiv:2305.16307v32023
Direct Sparse Mapping
Jon Zubizarreta, Iker Aguinaga, J. M. M. Montiel
cs.CVcs.ROarXiv:1904.06577v22019
InGuard: Towards Generalized Inner Guardrail for Safe Text-to-Image Generation
Zeyu Wang, Xiaodan Li, Zhiwen Li +2
cs.CVcs.AIarXiv:2609.27620v12026
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices
Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir
cs.LGstat.MEarXiv:2203.10716v22022
Decentralized Signal Control for Urban Road Networks
Tung Le, Peter Kovacs, Neil Walton +3
math.OCarXiv:1310.0491v22013
E2 TTS: Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS
Sefik Emre Eskimez, Xiaofei Wang, Manthan Thakker +10
eess.AScs.SDarXiv:2406.18009v22024
Regularized barycentric Rényi divergences
Milán Mosonyi
quant-phcs.ITmath-pharXiv:2609.17517v22026
Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms
Muyang He, Hanzhong Guo, Junxiong Lin +1
eess.IVcs.CVarXiv:2603.28489v32026
An End-to-End Neural Network for Polyphonic Piano Music Transcription
Siddharth Sigtia, Emmanouil Benetos, Simon Dixon
stat.MLcs.LGcs.SDarXiv:1508.01774v22015
Spillover-Aware Multi-Value Steering for Pluralistic LLM Alignment
Weici Pan, Xander Barron, Jiawei Zhou +1
cs.AIarXiv:2609.05800v12026
Learners that Use Little Information
Raef Bassily, Shay Moran, Ido Nachum +2
cs.LGcs.AIcs.CRarXiv:1710.05233v32017
Unsupervised Scalable Representation Learning for Multivariate Time Series
Jean-Yves Franceschi, Aymeric Dieuleveut, Martin Jaggi
cs.LGcs.NEstat.MLarXiv:1901.10738v42019
Bayesian variable selection with shrinking and diffusing priors
Naveen Naidu Narisetty, Xuming He
math.STarXiv:1405.6545v12014
Source Polarization
Erdal Arikan
cs.ITarXiv:1001.3087v22010
Attending to Graph Transformers
Luis Müller, Mikhail Galkin, Christopher Morris +1
cs.LGcs.AIcs.NEarXiv:2302.04181v32023
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
Amir Gholami, Kurt Keutzer, George Biros
cs.LGarXiv:1902.10298v32019
Better bounds for matchings in the streaming model
Michael Kapralov
cs.DSarXiv:1206.2269v32012
Multimode: An R Package for Mode Assessment
Jose Ameijeiras-Alonso, Rosa M. Crujeiras, Alberto Rodríguez-Casal
stat.COarXiv:1803.00472v12018
Performance of Statistical Tests for Single Source Detection using Random Matrix Theory
Pascal Bianchi, Merouane Debbah, Mylène Maïda +1
math.PRcs.ITmath.STarXiv:0910.0827v22009
MBNet: MOS Prediction for Synthesized Speech with Mean-Bias Network
Yichong Leng, Xu Tan, Sheng Zhao +3
cs.SDeess.ASarXiv:2103.00110v12021
Difference Target Propagation
Dong-Hyun Lee, Saizheng Zhang, Asja Fischer +1
cs.LGcs.NEarXiv:1412.7525v52014
NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning
Chun-Hao Chang, Rich Caruana, Anna Goldenberg
cs.LGarXiv:2106.01613v32021
Applications of deep learning in stock market prediction: recent progress
Weiwei Jiang
q-fin.STcs.LGarXiv:2003.01859v12020
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
Huan Zhang, Hongge Chen, Duane Boning +1
cs.LGcs.AIstat.MLarXiv:2101.08452v12021
Finite-Sample Binary Hypothesis Testing via R\'enyi Divergences: Strong Converse and Local Privacy
Roberto Bruno, Adrien Vandenbroucque, Amedeo Roberto Esposito
cs.ITmath.ITmath.STarXiv:2609.27617v12026
AU-Harness: An Open-Source Toolkit for Holistic Evaluation of Audio LLMs
Hoang Nguyen, Sidharth Surapaneni, Akshay Kalkunte +9
cs.SDcs.AIcs.LGarXiv:2509.08031v32025
Adaptive pruning-based optimization of parameterized quantum circuits
Sukin Sim, Jonathan Romero, Jerome F. Gonthier +1
quant-pharXiv:2010.00629v12020
Statistical methods for linguistic research: Foundational Ideas - Part II
Bruno Nicenboim, Shravan Vasishth
stat.APstat.MEarXiv:1602.00245v12016
Attacking Graph-based Classification via Manipulating the Graph Structure
Binghui Wang, Neil Zhenqiang Gong
cs.CRarXiv:1903.00553v22019
Machine Learning for Encrypted Malicious Traffic Detection: Approaches, Datasets and Comparative Study
Zihao Wang, Kar-Wai Fok, Vrizlynn L. L. Thing
cs.CRcs.AIcs.LGarXiv:2203.09332v12022
Cognitive Cells: A Compositional Framework for Populations of Small Language Models
Silvan Ferreira
physics.soc-phcs.MAarXiv:2608.28606v12026
Robustness and Regularization of Support Vector Machines
Huan Xu, Constantine Caramanis, Shie Mannor
cs.LGcs.AIarXiv:0803.3490v22008
Machine Learning for Networking: Workflow, Advances and Opportunities
Mowei Wang, Yong Cui, Xin Wang +2
cs.NIarXiv:1709.08339v22017
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto, David Meger, Doina Precup
cs.LGcs.AIstat.MLarXiv:1812.02900v32018
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
Peng Wang, An Yang, Rui Men +7
cs.CVcs.CLarXiv:2202.03052v22022
Fine-Grained Complexity of Approximating Vector Knapsack: A Faster Algorithm and Bicriteria Optimality in 2D
Karl Bringmann, Ariel Kulik, Karol Węgrzycki
cs.DSarXiv:2608.27600v12026
Efficient Linear Bandits via Cluster-Aware Sketching
Hantao Yang, Hong Xie, Defu Lian
cs.LGarXiv:2609.27594v12026
Generalized Zero-Shot Learning Via Over-Complete Distribution
Rohit Keshari, Richa Singh, Mayank Vatsa
cs.CVcs.LGarXiv:2004.00666v12020
Comprehensive Evaluation of Deep Learning Architectures for Prediction of DNA/RNA Sequence Binding Specificities
Ameni Trabelsi, Mohamed Chaabane, Asa Ben Hur
cs.LGq-bio.QMstat.MLarXiv:1901.10526v12019
Learnware and AI Model Management System
Zhi-Hua Zhou
cs.LGarXiv:2609.11656v12026
Stable time-stepping via residual minimization: finite-element and neural-network approximations for transient parabolic problems
Judit Muñoz-Matute, Sergio Rojas
math.NAcs.NAarXiv:2609.27548v12026
A Survey of Deep Meta-Learning
Mike Huisman, Jan N. van Rijn, Aske Plaat
cs.LGcs.AIstat.MLarXiv:2010.03522v22020
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game
Alexander G. Reisach, Christof Seiler, Sebastian Weichwald
stat.MLcs.LGstat.MEarXiv:2102.13647v32021
A simple test for hidden variables in spin-1 system
Alexander A. Klyachko, M. Ali Can, Sinem Binicioğlu +1
quant-pharXiv:0706.0126v42007
When AI "Works," When Does Help Begin?: Intergenerational Support Around Older Adults' LLM Usage
Hyehyun Chu, Yuri Lee, Yeon Su Park +2
cs.HCarXiv:2608.24297v12026
End-to-End Human-Gaze-Target Detection with Transformers
Danyang Tu, Xiongkuo Min, Huiyu Duan +3
cs.CVarXiv:2203.10433v22022
Learning to Act and Cooperate for Distributed Black-Box Consensus Optimization
Zi-Bo Qin, Feng-Feng Wei, Tai-You Chen +1
cs.MAcs.NEarXiv:2605.00691v12026
Learning to Optimize Multigrid PDE Solvers
Daniel Greenfeld, Meirav Galun, Ron Kimmel +2
math.NAcs.LGcs.NAarXiv:1902.10248v32019
Machine Learning for Neuroimaging with Scikit-Learn
Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg +6
cs.LGcs.CVstat.MLarXiv:1412.3919v12014
ICM: Intra-class Mixing for Domain Adaptation in Adverse Weather
Boying Li, Chang Liu, Britta Ayano Wilde +4
cs.CVarXiv:2609.27533v12026
Changing minds about electric cars: An empirically grounded agent-based modeling approach
Ingo Wolf, Tobias Schroeder, Jochen Neumann +1
cs.MAarXiv:1405.6230v22014
Language Model Circuits Are Sparse in the Neuron Basis
Aryaman Arora, Zhengxuan Wu, Jacob Steinhardt +1
cs.CLcs.AIarXiv:2601.22594v22026
Towards Open Vocabulary Learning: A Survey
Jianzong Wu, Xiangtai Li, Shilin Xu +9
cs.CVcs.AIarXiv:2306.15880v42023
ResLRP: The Role of Residual Cancellation in Attribution Instability in Vision Transformers
Jim Berend, Reduan Achtibat, Daniel Schäffer +4
cs.CVcs.AIcs.LGarXiv:2609.17152v12026
The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics
Gregor Kasieczka, Benjamin Nachman, David Shih +44
hep-phhep-exphysics.data-anarXiv:2101.08320v12021

Every paper with a summary

From BERT to Frontier Agents: Eight Years of Language-Model Progress, the Collapse of the Capability-Cost Curve, and the Rise of Task-Targeted Models

JAKET: Joint Pre-training of Knowledge Graph and Language Understanding

From Variational to Deterministic Autoencoders

Frequency dependence of signal power and spatial reach of the local field potential

MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models

IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages

Direct Sparse Mapping

InGuard: Towards Generalized Inner Guardrail for Safe Text-to-Image Generation

Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices

Decentralized Signal Control for Urban Road Networks

E2 TTS: Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS

Regularized barycentric Rényi divergences

Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms

An End-to-End Neural Network for Polyphonic Piano Music Transcription

Spillover-Aware Multi-Value Steering for Pluralistic LLM Alignment

Learners that Use Little Information

Unsupervised Scalable Representation Learning for Multivariate Time Series

Bayesian variable selection with shrinking and diffusing priors

Source Polarization

Attending to Graph Transformers

ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs

Better bounds for matchings in the streaming model

Multimode: An R Package for Mode Assessment

Performance of Statistical Tests for Single Source Detection using Random Matrix Theory

MBNet: MOS Prediction for Synthesized Speech with Mean-Bias Network

Difference Target Propagation

NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning

Applications of deep learning in stock market prediction: recent progress

Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

Finite-Sample Binary Hypothesis Testing via R\'enyi Divergences: Strong Converse and Local Privacy

AU-Harness: An Open-Source Toolkit for Holistic Evaluation of Audio LLMs

Adaptive pruning-based optimization of parameterized quantum circuits

Statistical methods for linguistic research: Foundational Ideas - Part II

Attacking Graph-based Classification via Manipulating the Graph Structure

Machine Learning for Encrypted Malicious Traffic Detection: Approaches, Datasets and Comparative Study

Cognitive Cells: A Compositional Framework for Populations of Small Language Models

Robustness and Regularization of Support Vector Machines

Machine Learning for Networking: Workflow, Advances and Opportunities

Off-Policy Deep Reinforcement Learning without Exploration

OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

Fine-Grained Complexity of Approximating Vector Knapsack: A Faster Algorithm and Bicriteria Optimality in 2D

Efficient Linear Bandits via Cluster-Aware Sketching

Generalized Zero-Shot Learning Via Over-Complete Distribution

Comprehensive Evaluation of Deep Learning Architectures for Prediction of DNA/RNA Sequence Binding Specificities

Learnware and AI Model Management System

Stable time-stepping via residual minimization: finite-element and neural-network approximations for transient parabolic problems

A Survey of Deep Meta-Learning

Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game

A simple test for hidden variables in spin-1 system

When AI "Works," When Does Help Begin?: Intergenerational Support Around Older Adults' LLM Usage

End-to-End Human-Gaze-Target Detection with Transformers

Learning to Act and Cooperate for Distributed Black-Box Consensus Optimization

Learning to Optimize Multigrid PDE Solvers

Machine Learning for Neuroimaging with Scikit-Learn

ICM: Intra-class Mixing for Domain Adaptation in Adverse Weather

Changing minds about electric cars: An empirically grounded agent-based modeling approach

Language Model Circuits Are Sparse in the Neuron Basis

Towards Open Vocabulary Learning: A Survey

ResLRP: The Role of Residual Cancellation in Attribution Instability in Vision Transformers

The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics