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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50,341 to 50,400 of 120,029

StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning
Kun Shao, Yuanheng Zhu, Dongbin Zhao
cs.AIcs.LGcs.MAarXiv:1804.00810v12018
SNAP3D: Physically Grounded 3D Parts for Assembly from a Single Image
Yu-Rou Tuan, Hao-Tang Tsui, Nicolas Ugrinovic +2
cs.GRcs.CVarXiv:2609.13146v12026
Taming the Wild: A Unified Analysis of Hogwild!-Style Algorithms
Christopher De Sa, Ce Zhang, Kunle Olukotun +1
cs.LGmath.OCstat.MLarXiv:1506.06438v22015
Summaries:한국어
ActReal: System-Level Mobile Agents Challenge Mobile Automation Detection
Mingshuo Wang, Hanqing Guo, Huining Li +3
cs.CRarXiv:2608.30038v12026
Modelling transmission and control of the COVID-19 pandemic in Australia
Sheryl L. Chang, Nathan Harding, Cameron Zachreson +2
q-bio.PEcs.MAq-bio.QMarXiv:2003.10218v42020
Achievable Rates of FDD Massive MIMO Systems with Spatial Channel Correlation
Zhiyuan Jiang, Andreas F. Molisch, Giuseppe Caire +1
cs.ITarXiv:1406.7486v12014
Robustness-Aware Evaluation and Enhancement of Mutation-Based Fuzzing for Bug Discovery
Zirui Liu, Mengfan Xu, Juan Zhai +2
cs.CRarXiv:2609.06773v12026
Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations
Vadim Tschernezki, Iro Laina, Diane Larlus +1
cs.CVcs.GRarXiv:2209.03494v12022
The Oddtown problem modulo a composite number
Boris Bukh, Ting-Wei Chao, Zeyu Zheng
math.COarXiv:2509.00586v22025
How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities
Lingbo Mo, Boshi Wang, Muhao Chen +1
cs.CLcs.AIarXiv:2311.09447v22023
Auditing System-1 Models on Biosecurity-Relevant Benchmarks: Calibration, Selective Prediction, and Permutation Instability in a Non-Generative Model
Kimon Antonios Provatas, Ilias Georgakopoulos-Soares
cs.LGarXiv:2609.30454v12026
Ventor-QTest: Threat-Model-Driven Verification of Vendor-Hosted LLM APIs
Xiangfan Wu, Zonghao Ying, Huiyu Wu +4
cs.CRcs.AIarXiv:2608.16391v12026
SqueezeLLM: Dense-and-Sparse Quantization
Sehoon Kim, Coleman Hooper, Amir Gholami +5
cs.CLcs.LGarXiv:2306.07629v42023
A foundation model of vision, audition, and language for in-silico neuroscience
Stéphane d'Ascoli, Jérémy Rapin, Yohann Benchetrit +5
q-bio.NCcs.LGarXiv:2605.04326v12026
Multi-LexSum: Real-World Summaries of Civil Rights Lawsuits at Multiple Granularities
Zejiang Shen, Kyle Lo, Lauren Yu +3
cs.CLcs.CYarXiv:2206.10883v32022
Explaining Question Answering Models through Text Generation
Veronica Latcinnik, Jonathan Berant
cs.CLcs.AIcs.LGarXiv:2004.05569v12020
Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreement
Elisa Leonardelli, Stefano Menini, Alessio Palmero Aprosio +2
cs.CLcs.AIcs.CYarXiv:2109.13563v12021
A Multi-Vehicle Dataset with Camera, LiDAR, and Radar Sensors and Scanned 3D Models for Custom Auto-Annotation using RTK-GNSS
Philipp Berthold, Bianca Forkel, Mirko Maehlisch
cs.ROcs.AIcs.CVarXiv:2609.12871v12026
JEPA as a Neural Tokenizer: Learning Robust Speech Representations with Density Adaptive Attention
Georgios Ioannides, Christos Constantinou, Aman Chadha +4
cs.SDcs.AIcs.LGarXiv:2512.07168v12025
Optimal Packet Scheduling in an Energy Harvesting Communication System
Jing Yang, Sennur Ulukus
cs.ITcs.NIarXiv:1010.1295v12010
Between-class Learning for Image Classification
Yuji Tokozume, Yoshitaka Ushiku, Tatsuya Harada
cs.LGcs.CVstat.MLarXiv:1711.10284v22017
SciPIP: An LLM-based Scientific Paper Idea Proposer
Wenxiao Wang, Lihui Gu, Liye Zhang +7
cs.CLcs.AIcs.IRarXiv:2410.23166v22024
Changer: Feature Interaction is What You Need for Change Detection
Sheng Fang, Kaiyu Li, Zhe Li
cs.CVarXiv:2209.08290v12022
Think-at-Hard: Dynamic Looped Transformers for Improved Reasoning
Tianyu Fu, Yichen You, Zekai Chen +3
cs.CLcs.AIcs.LGarXiv:2511.08577v42025
Ebisu: Benchmarking Large Language Models in Japanese Finance
Xueqing Peng, Ruoyu Xiang, Fan Zhang +9
cs.CLarXiv:2602.01479v12026
Climate-model factor separation with Shapley values and efficient sampling
Abel Jansma
math.OCcs.GTphysics.ao-pharXiv:2609.11948v12026
cosFormer: Rethinking Softmax in Attention
Zhen Qin, Weixuan Sun, Hui Deng +6
cs.CLarXiv:2202.08791v12022
Percolation in Multiplex Networks with Overlap
Davide Cellai, Eduardo López, Jie Zhou +2
cond-mat.stat-mechcond-mat.dis-nnphysics.soc-pharXiv:1307.6359v32013
Gaze as Evidence for Common Grounding: A Cross-Corpus Analysis of MapTask and MUNDEX
Nan Li, Albert Gatt, Massimo Poesio
cs.CLcs.HCarXiv:2609.18011v12026
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
Hejie Cui, Wei Dai, Yanqiao Zhu +3
q-bio.NCcs.AIcs.CEarXiv:2207.00813v22022
UGOD: Uncertainty-Guided Opacity and Dropout for Sparse-View 3D Gaussian Splatting
Zhihao Guo, Peng Wang, Zidong Chen +7
cs.CVarXiv:2609.39089v12026
ESPIRE: A Diagnostic Benchmark for Embodied Spatial Reasoning of Vision-Language Models
Yanpeng Zhao, Wentao Ding, Hongtao Li +2
cs.CVcs.LGcs.ROarXiv:2603.13033v12026
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
Elise van der Pol, Daniel E. Worrall, Herke van Hoof +2
cs.LGstat.MLarXiv:2006.16908v22020
On the Inductive Bias of Neural Tangent Kernels
Alberto Bietti, Julien Mairal
stat.MLcs.LGarXiv:1905.12173v22019
Using Eye-tracking Data to Predict Situation Awareness in Real Time during Takeover Transitions in Conditionally Automated Driving
Feng Zhou, X. Jessie Yang, Joost de Winter
cs.HCarXiv:2103.14792v12021
Extended Object Tracking: Introduction, Overview and Applications
Karl Granstrom, Marcus Baum, Stephan Reuter
cs.CVeess.SPeess.SYarXiv:1604.00970v32016
Theoretical framework for quantum networks
Giulio Chiribella, Giacomo M. D'Ariano, Paolo Perinotti
quant-pharXiv:0904.4483v22009
SMCC-Empowered Digital Twins for Sensorless Monitoring in Large-Scale AI-Driven IoT Systems
Vincenzo Sammartino
cs.DCcs.CRcs.NIarXiv:2609.09161v12026
A well-balanced reconstruction for wetting/drying fronts
Andreas Bollermann, Guoxian Chen, Alexander Kurganov +1
math.NAcs.NAarXiv:1412.3580v12014
Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data
Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty +1
cs.ROcs.HCcs.LGarXiv:2001.03093v52020
Discovering Graphical Granger Causality Using the Truncating Lasso Penalty
Ali Shojaie, George Michailidis
stat.MLq-bio.MNarXiv:1007.0499v12010
Switchbacks and the Bridge to Nowhere
Leonard Susskind, Ying Zhao
hep-thquant-pharXiv:1408.2823v12014
Generating Images with Multimodal Language Models
Jing Yu Koh, Daniel Fried, Ruslan Salakhutdinov
cs.CLcs.CVcs.LGarXiv:2305.17216v32023
Auditing Multimodal LLM Raters: Central Tendency Bias in Clinical Ordinal Scoring
Jiaqing Zhang, Sandeep Elluri, Bhanu Cherukuvada +7
cs.CVarXiv:2605.16386v12026
OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning
Ling Fu, Zhebin Kuang, Jiajun Song +21
cs.CVcs.AIarXiv:2501.00321v22024
AURA-Eval: Evaluation Framework for Acting Under Risk Awareness in LLM Agent Trajectories
Ruoxi Shang, Christina-Maria Androna, Orfeas Menis Mastromichalakis +6
cs.CRcs.AIcs.CLarXiv:2609.06783v12026
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models
Wenhao Yu, Hongming Zhang, Xiaoman Pan +3
cs.CLcs.AIarXiv:2311.09210v22023
Interpretable Embeddings with Sparse Autoencoders: A Data Analysis Toolkit
Nick Jiang, Xiaoqing Sun, Lisa Dunlap +2
cs.AIcs.LGarXiv:2512.10092v22025
OpenSeeker-v2: Pushing the Limits of Search Agents with Informative and High-Difficulty Trajectories
Yuwen Du, Rui Ye, Shuo Tang +4
cs.AIcs.CLarXiv:2605.04036v12026
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure
Ke Liang, Yue Liu, Sihang Zhou +5
cs.AIcs.IRcs.LGarXiv:2211.10738v42022
Agentic AI for operating scientific instruments for nanoscale characterization
Zahra Ayar, Marcos Penedo, Mahdi Mehdikhani +3
cs.AIphysics.ins-detarXiv:2608.26198v12026
Vector Approximate Message Passing
Sundeep Rangan, Philip Schniter, Alyson K. Fletcher
cs.ITarXiv:1610.03082v22016
CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud
Wu Zheng, Weiliang Tang, Sijin Chen +2
cs.CVarXiv:2012.03015v12020
Deep Neural Networks as 0-1 Mixed Integer Linear Programs: A Feasibility Study
Matteo Fischetti, Jason Jo
cs.LGarXiv:1712.06174v12017
Interpreting CLIP's Image Representation via Text-Based Decomposition
Yossi Gandelsman, Alexei A. Efros, Jacob Steinhardt
cs.CVcs.AIarXiv:2310.05916v42023
Synthesizing Robust Adversarial Examples
Anish Athalye, Logan Engstrom, Andrew Ilyas +1
cs.CVarXiv:1707.07397v32017
Fast and Flexible ADMM Algorithms for Trend Filtering
Aaditya Ramdas, Ryan J. Tibshirani
stat.MLcs.LGcs.NAarXiv:1406.2082v42014
Task-Adaptive Rubrics for GUI Reward Modeling
Tao Xiong, Xavier Hu, Wenkai Wang +6
cs.AIarXiv:2608.24174v12026
The Complexity Trap: Simple Observation Masking Is as Efficient as LLM Summarization for Agent Context Management
Tobias Lindenbauer, Igor Slinko, Ludwig Felder +2
cs.SEcs.AIarXiv:2508.21433v32025
When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors
Yuqing Yang, Qi Zhu, Zhen Han +5
cs.CLcs.AIarXiv:2606.32029v12026
Summaries:한국어

Every paper with a summary

StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning

SNAP3D: Physically Grounded 3D Parts for Assembly from a Single Image

Taming the Wild: A Unified Analysis of Hogwild!-Style Algorithms

ActReal: System-Level Mobile Agents Challenge Mobile Automation Detection

Modelling transmission and control of the COVID-19 pandemic in Australia

Achievable Rates of FDD Massive MIMO Systems with Spatial Channel Correlation

Robustness-Aware Evaluation and Enhancement of Mutation-Based Fuzzing for Bug Discovery

Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations

The Oddtown problem modulo a composite number

How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities

Auditing System-1 Models on Biosecurity-Relevant Benchmarks: Calibration, Selective Prediction, and Permutation Instability in a Non-Generative Model

Ventor-QTest: Threat-Model-Driven Verification of Vendor-Hosted LLM APIs

SqueezeLLM: Dense-and-Sparse Quantization

A foundation model of vision, audition, and language for in-silico neuroscience

Multi-LexSum: Real-World Summaries of Civil Rights Lawsuits at Multiple Granularities

Explaining Question Answering Models through Text Generation

Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreement

A Multi-Vehicle Dataset with Camera, LiDAR, and Radar Sensors and Scanned 3D Models for Custom Auto-Annotation using RTK-GNSS

JEPA as a Neural Tokenizer: Learning Robust Speech Representations with Density Adaptive Attention

Optimal Packet Scheduling in an Energy Harvesting Communication System

Between-class Learning for Image Classification

SciPIP: An LLM-based Scientific Paper Idea Proposer

Changer: Feature Interaction is What You Need for Change Detection

Think-at-Hard: Dynamic Looped Transformers for Improved Reasoning

Ebisu: Benchmarking Large Language Models in Japanese Finance

Climate-model factor separation with Shapley values and efficient sampling

cosFormer: Rethinking Softmax in Attention

Percolation in Multiplex Networks with Overlap

Gaze as Evidence for Common Grounding: A Cross-Corpus Analysis of MapTask and MUNDEX

Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis

UGOD: Uncertainty-Guided Opacity and Dropout for Sparse-View 3D Gaussian Splatting

ESPIRE: A Diagnostic Benchmark for Embodied Spatial Reasoning of Vision-Language Models

MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning

On the Inductive Bias of Neural Tangent Kernels

Using Eye-tracking Data to Predict Situation Awareness in Real Time during Takeover Transitions in Conditionally Automated Driving

Extended Object Tracking: Introduction, Overview and Applications

Theoretical framework for quantum networks

SMCC-Empowered Digital Twins for Sensorless Monitoring in Large-Scale AI-Driven IoT Systems

A well-balanced reconstruction for wetting/drying fronts

Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data

Discovering Graphical Granger Causality Using the Truncating Lasso Penalty

Switchbacks and the Bridge to Nowhere

Generating Images with Multimodal Language Models

Auditing Multimodal LLM Raters: Central Tendency Bias in Clinical Ordinal Scoring

OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning

AURA-Eval: Evaluation Framework for Acting Under Risk Awareness in LLM Agent Trajectories

Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models

Interpretable Embeddings with Sparse Autoencoders: A Data Analysis Toolkit

OpenSeeker-v2: Pushing the Limits of Search Agents with Informative and High-Difficulty Trajectories

Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure

Agentic AI for operating scientific instruments for nanoscale characterization

Vector Approximate Message Passing

CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud

Deep Neural Networks as 0-1 Mixed Integer Linear Programs: A Feasibility Study

Interpreting CLIP's Image Representation via Text-Based Decomposition

Synthesizing Robust Adversarial Examples

Fast and Flexible ADMM Algorithms for Trend Filtering

Task-Adaptive Rubrics for GUI Reward Modeling

The Complexity Trap: Simple Observation Masking Is as Efficient as LLM Summarization for Agent Context Management

When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors