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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5,161 to 5,220 of 117,809

Quasipolynomial-time Identity Testing of Non-Commutative and Read-Once Oblivious Algebraic Branching Programs
Michael A. Forbes, Amir Shpilka
cs.CCarXiv:1209.2408v22012
Computational Complexity of Inexact Gradient Augmented Lagrangian Methods: Application to Constrained MPC
Valentin Nedelcu, Ion Necoara, Quoc Tran Dinh
math.OCarXiv:1302.4355v12013
Learning to Reason from Reference Samples Alone: Reinforced Adversarial Learning for Modern LLM Post-Training
Albert Bou, Javier Valdes-Aleman, Jon M. Laurent +4
cs.AIcs.LGarXiv:2610.38851v12026
Co-design Gym: A Unified Benchmark for Embodiment-Policy Co-optimization
Aviraj Newatia, Yordan Tsvetkov, Leonard Pleiss +2
cs.LGcs.ROarXiv:2610.02366v12026
Distilling the Shape of Uncertainty: What On-Policy Distillation Learns and How to Predict It
Shiping Yang, Chuanqi Tang, Hossein Hajimirsadeghi +3
cs.CLcs.AIarXiv:2610.39020v12026
On-Policy Self-Distillation with Teacher Evolution
Shufan Shen, Zhongni Hou, Chao Bi +3
cs.LGcs.AIarXiv:2610.38637v12026
A Tutorial on Generative Models for Music Audio
Mateusz Modrzejewski, Joanna Kurkowska, Dorien Herremans
eess.AScs.AIcs.ETarXiv:2610.38252v12026
ArrivalBench: Agent-Generated Data Pipelines Are Correct Once and Wrong Under Time
Pranay Kothari
cs.LGcs.DBarXiv:2610.02363v12026
Why Does Adaptive Batching Help LLM Pretraining? A Perspective from Unbounded Variance
Arda Fazla, Antesh Upadhyay, Ege C. Kaya +2
cs.LGmath.OCarXiv:2610.02355v12026
Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations
Nando de Freitas, Alex Smola, Masrour Zoghi
cs.LGstat.MLarXiv:1206.6457v12012
MEV: A Multi-Event Video Dataset for Long-Take Generation
Peiyuan Zhu, Shaoan Xie, Yifan Shen +4
cs.CVcs.AIarXiv:2610.38241v12026
From Behavior to Provenance: Attributing Tabular Foundation Models to Synthetic Pretraining Data
Mohamed Bouadi, Nassim Bouarour, Shivam Dubey +2
cs.LGarXiv:2610.02347v12026
Mitigating Convergence Collapse in Fixed-Target Anomaly Detectors via Kernel-Anchored Locality Regularization
José Lucas De Melo Costa, Fabrice Popineau, Arpad Rimmel +1
cs.LGarXiv:2610.02345v12026
On the Bayes-optimality of F-measure maximizers
Willem Waegeman, Krzysztof Dembczynski, Arkadiusz Jachnik +2
stat.MLcs.LGarXiv:1310.4849v32013
Drive vs. Decay: On the Training Dynamics of Joint-Embedding Predictive Architectures
José Lucas De Melo Costa, Seong Woo Ahn, Fabrice Popineau +2
cs.LGarXiv:2610.02344v12026
Statutory Article Retrieval from Arabic Judicial Narratives: Family Law and Law of Evidence in Saudi Arabia
Zarah Shibli, Areej Alhothali, Lulwah Alharigy
cs.CLcs.AIarXiv:2610.38336v12026
First Women, Second Sex: Gender Bias in Wikipedia
Eduardo Graells-Garrido, Mounia Lalmas, Filippo Menczer
cs.SIarXiv:1502.02341v22015
Reasoning or Pattern Exploitation? Mechanistic Insights from RL-Trained Language Models
Aishik Nagar, Cheston Tan
cs.AIcs.CLarXiv:2610.39182v12026
Co-Evolving Policy and Rubric via Capability Awareness for Open-Ended Generation
Chengsheng Zhang, Wenshen Xu, Yuchuan Wu +6
cs.AIarXiv:2610.38566v12026
PowerBench: Measuring Language Model Bias in Power-shifting Requests
Nicolas Martorell, Wendy Brau, Gonzalo A. Heredia +3
cs.LGarXiv:2610.02303v12026
Effects of interpulse-interval variation on deep-learning classification of bat vocalizations
Welmoed R. Eversteijn, Burooj Ghani, A. Leonie Baier +1
cs.LGeess.ASarXiv:2610.02284v12026
MuLoRA: Spectrally Balanced Low-Rank Adaptation for Continual Learning
Junkang Liu
cs.LGarXiv:2610.02283v12026
From Grind to Grasp
Peter Sunehag
cs.AIcs.MAarXiv:2610.38728v12026
$k$-POD: A Method for $k$-Means Clustering of Missing Data
Jocelyn T. Chi, Eric C. Chi, Richard G. Baraniuk
stat.COstat.MEarXiv:1411.7013v32014
Quantization based Fast Inner Product Search
Ruiqi Guo, Sanjiv Kumar, Krzysztof Choromanski +1
cs.AIcs.LGstat.MLarXiv:1509.01469v12015
CLEAN: Psychometrically Consistent Incremental Cognitive Diagnosis under Concept-Space Expansion via Architectural Isolation
Tao He, Jinxing Xiang, Fan Jiang
cs.LGarXiv:2610.02278v12026
Structured Priors for Sparse-Representation-Based Hyperspectral Image Classification
Xiaoxia Sun, Qing Qu, Nasser M. Nasrabadi +1
cs.CVcs.LGstat.MLarXiv:1401.3818v12014
FlipJev: Fast Black-Box Red Teaming Finds Universal Adversarial Suffixes for Typed Decision Models
Xiaogeng Liu, Xinyan Wang, Chaowei Xiao
cs.CRcs.AIarXiv:2610.38895v12026
Trained Agentic Context Management
Bryce Sandlund
cs.LGcs.CLarXiv:2610.02404v12026
Answer-Only Disclosure: Private-Context LLM Assistance over Web APIs with a Leakage Ledger
Liang Yuan, Xiaohu Du, Ruikun Luo +6
cs.CRcs.AIarXiv:2610.38126v12026
Interventional Training Reduces Causal Bypass in In-Context Introspection
Zilu Tang, Jongin Kim, Kerem Sahin +3
cs.CLcs.AIarXiv:2610.38911v12026
Capability Scaling-Down Laws for LLM Compression
Xueqi Cheng, Liang Wu, Kelly Wan +2
cs.LGcs.CLarXiv:2610.02462v12026
Visual descriptors for content-based retrieval of remote sensing images
Paolo Napoletano
cs.CVarXiv:1602.00970v52016
Learning Crosslingual Word Embeddings without Bilingual Corpora
Long Duong, Hiroshi Kanayama, Tengfei Ma +2
cs.CLcs.AIarXiv:1606.09403v12016
Evaluating and Improving the Robustness of Large Language Models to Input Sequence Variations
Narek Maloyan
cs.CRcs.CLcs.LGarXiv:2610.02432v22026
HMM-based Indic Handwritten Word Recognition using Zone Segmentation
Partha Pratim Roy, Ayan Kumar Bhunia, Ayan Das +2
cs.CVarXiv:1708.00227v12017
Agentic AI Reasoning and Learned Sampling for Task-Aware Projection Selection in Sparse-View CT: Predicting Hemodynamics
Mahmoud Elhadidy, Roshan M. D'Souza, Amirhossein Arzani
cs.AIphysics.flu-dynarXiv:2610.39003v12026
TableTune: Measured, Self-Correcting Draft-Length Tables for Dynamic Speculative Decoding
Abhishek Malvankar, Paul Castro, Nick Mitchell +1
cs.ETcs.AIarXiv:2610.38968v12026
From Mathematical to Executable Certificates for Machine Unlearning
Ziyu Zhao, Xinyu Wang, Xiaowen Chang +1
cs.LGcs.CRarXiv:2610.02268v12026
A General Framework for Edited Video and Raw Video Summarization
Xuelong Li, Bin Zhao, Xiaoqiang Lu
cs.CVarXiv:1904.10669v12019
Early Stopping without a Validation Set
Maren Mahsereci, Lukas Balles, Christoph Lassner +1
cs.LGstat.MLarXiv:1703.09580v32017
Hesitation Has a Geometry: Entropy-Trained Hyperbolic Probes for Sparse Activation Steering
Zeyong Zhang, Tung Sum Thomas Kwok, Tengfei Ma +1
cs.LGcs.CLarXiv:2610.02391v12026
Lev-3B: A Data Recipe for Compact Probabilistic Log Decision Models
Leo Betthauser, Yingqi Liu, Uday Shah +5
cs.LGcs.AIarXiv:2610.38915v12026
Benchmarking Graph Neural Networks for AC Power Flow: The Role of Inductive Biases and Physical Constraints
Federico Clerici, Ferran Bohigas-Daranas, Hamid Latif-Martínez +3
cs.LGcs.AIarXiv:2610.38985v12026
Summaries:한국어
Does Every User Need a Private LoRA? Decoupling Personalization from Per-User Adaptation
Songyuan Sui, Srikanth Malla, Chiho Choi +1
cs.LGcs.CLarXiv:2610.02353v12026
Formal Specifications with Data-Driven Signal Analysis
Roderick Bloem, Benedikt Maderbacher, Cristinel Mateis +3
cs.AIcs.LGarXiv:2610.39007v12026
BioPhysical Modeling, Characterization and Optimization of Electro-Quasistatic Human Body Communication
Shovan Maity, Mingxuan He, Mayukh Nath +3
cs.ETcs.HCarXiv:1805.05200v12018
LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes
Pat Marion, Peter R. Florence, Lucas Manuelli +1
cs.CVcs.ROarXiv:1707.04796v32017
WorldFlow: Joint Video and 3D Motion Prediction via Large-Scale Pretraining
Yuhao Lu, Jiongxu Chen, Hexiang Wei +9
cs.CVcs.AIcs.ROarXiv:2610.39278v12026
SEDIMA: Cross-Run Hierarchical Insight Memory for Evolutionary Search Agents
Amirhossein Abaskohi, Mahdi Mostajabdaveh, Zirui Zhou
cs.NEcs.CLarXiv:2610.02361v12026
Evaluating Multi-Dimensional Generalization of Large Language Models in Temporal Extraction Tasks
Fahmid Shahriar Iqbal, Ritam Dutt, Soumitra Das +2
cs.CLarXiv:2610.02549v12026
Design and Analysis of the NIPS 2016 Review Process
Nihar B. Shah, Behzad Tabibian, Krikamol Muandet +2
cs.DLcs.LGcs.SIarXiv:1708.09794v22017
Where Position Matters: Profiling-Guided Layer-Wise RoPE Allocation in Transformers
Zhiwei Liu, Boao Kong, Bing Liu
cs.LGcs.AIstat.MLarXiv:2610.39223v12026
Stochastic Quasi-Gradient Methods: Variance Reduction via Jacobian Sketching
Robert M. Gower, Peter Richtárik, Francis Bach
math.OCarXiv:1805.02632v12018
TensorLayer: A Versatile Library for Efficient Deep Learning Development
Hao Dong, Akara Supratak, Luo Mai +4
cs.LGcs.DCstat.MLarXiv:1707.08551v32017
A generative-informed neuro-symbolic framework for syntactic ambiguity resolution: Evidence from Arabic DPs
Mohammed Damom, Mohammed Q. Shormani, Muneef Y. Alshawsh +5
cs.CLarXiv:2610.02529v32026
CUEing User Simulators: Calibrated User Embeddings for Multi-Turn Benchmarking
Anjali Kantharuban, Jonas Mueller
cs.CLarXiv:2610.02460v12026
When Should AI Decide, Defer, and Deviate? Responsible Automation for Deceased Donor Kidney Allocation
Madeleine Pollack, Thomas Daillak, Mehmet Toner +3
cs.AIarXiv:2610.39045v12026
How Causality Bridges the Semantic Gap
Shuhao Zhang, Xuran Zhou, Han Guo +2
cs.LGcs.AIcs.CLarXiv:2610.02594v12026
The Barron Space and the Flow-induced Function Spaces for Neural Network Models
Weinan E, Chao Ma, Lei Wu
cs.LGmath.PRstat.MLarXiv:1906.08039v22019

Every paper with a summary

Quasipolynomial-time Identity Testing of Non-Commutative and Read-Once Oblivious Algebraic Branching Programs

Computational Complexity of Inexact Gradient Augmented Lagrangian Methods: Application to Constrained MPC

Learning to Reason from Reference Samples Alone: Reinforced Adversarial Learning for Modern LLM Post-Training

Co-design Gym: A Unified Benchmark for Embodiment-Policy Co-optimization

Distilling the Shape of Uncertainty: What On-Policy Distillation Learns and How to Predict It

On-Policy Self-Distillation with Teacher Evolution

A Tutorial on Generative Models for Music Audio

ArrivalBench: Agent-Generated Data Pipelines Are Correct Once and Wrong Under Time

Why Does Adaptive Batching Help LLM Pretraining? A Perspective from Unbounded Variance

Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations

MEV: A Multi-Event Video Dataset for Long-Take Generation

From Behavior to Provenance: Attributing Tabular Foundation Models to Synthetic Pretraining Data

Mitigating Convergence Collapse in Fixed-Target Anomaly Detectors via Kernel-Anchored Locality Regularization

On the Bayes-optimality of F-measure maximizers

Drive vs. Decay: On the Training Dynamics of Joint-Embedding Predictive Architectures

Statutory Article Retrieval from Arabic Judicial Narratives: Family Law and Law of Evidence in Saudi Arabia

First Women, Second Sex: Gender Bias in Wikipedia

Reasoning or Pattern Exploitation? Mechanistic Insights from RL-Trained Language Models

Co-Evolving Policy and Rubric via Capability Awareness for Open-Ended Generation

PowerBench: Measuring Language Model Bias in Power-shifting Requests

Effects of interpulse-interval variation on deep-learning classification of bat vocalizations

MuLoRA: Spectrally Balanced Low-Rank Adaptation for Continual Learning

From Grind to Grasp

$k$-POD: A Method for $k$-Means Clustering of Missing Data

Quantization based Fast Inner Product Search

CLEAN: Psychometrically Consistent Incremental Cognitive Diagnosis under Concept-Space Expansion via Architectural Isolation

Structured Priors for Sparse-Representation-Based Hyperspectral Image Classification

FlipJev: Fast Black-Box Red Teaming Finds Universal Adversarial Suffixes for Typed Decision Models

Trained Agentic Context Management

Answer-Only Disclosure: Private-Context LLM Assistance over Web APIs with a Leakage Ledger

Interventional Training Reduces Causal Bypass in In-Context Introspection

Capability Scaling-Down Laws for LLM Compression

Visual descriptors for content-based retrieval of remote sensing images

Learning Crosslingual Word Embeddings without Bilingual Corpora

Evaluating and Improving the Robustness of Large Language Models to Input Sequence Variations

HMM-based Indic Handwritten Word Recognition using Zone Segmentation

Agentic AI Reasoning and Learned Sampling for Task-Aware Projection Selection in Sparse-View CT: Predicting Hemodynamics

TableTune: Measured, Self-Correcting Draft-Length Tables for Dynamic Speculative Decoding

From Mathematical to Executable Certificates for Machine Unlearning

A General Framework for Edited Video and Raw Video Summarization

Early Stopping without a Validation Set

Hesitation Has a Geometry: Entropy-Trained Hyperbolic Probes for Sparse Activation Steering

Lev-3B: A Data Recipe for Compact Probabilistic Log Decision Models

Benchmarking Graph Neural Networks for AC Power Flow: The Role of Inductive Biases and Physical Constraints

Does Every User Need a Private LoRA? Decoupling Personalization from Per-User Adaptation

Formal Specifications with Data-Driven Signal Analysis

BioPhysical Modeling, Characterization and Optimization of Electro-Quasistatic Human Body Communication

LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes

WorldFlow: Joint Video and 3D Motion Prediction via Large-Scale Pretraining

SEDIMA: Cross-Run Hierarchical Insight Memory for Evolutionary Search Agents

Evaluating Multi-Dimensional Generalization of Large Language Models in Temporal Extraction Tasks

Design and Analysis of the NIPS 2016 Review Process

Where Position Matters: Profiling-Guided Layer-Wise RoPE Allocation in Transformers

Stochastic Quasi-Gradient Methods: Variance Reduction via Jacobian Sketching

TensorLayer: A Versatile Library for Efficient Deep Learning Development

A generative-informed neuro-symbolic framework for syntactic ambiguity resolution: Evidence from Arabic DPs

CUEing User Simulators: Calibrated User Embeddings for Multi-Turn Benchmarking

When Should AI Decide, Defer, and Deviate? Responsible Automation for Deceased Donor Kidney Allocation

How Causality Bridges the Semantic Gap

The Barron Space and the Flow-induced Function Spaces for Neural Network Models