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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49,681 to 49,740 of 61,271

Mind the Student: Behavioral and Contextual Cues for Automated Engagement Prediction in Online Learning
Alperen Kantarci, Visvanathan Ramesh, Gemma Roig
cs.CVcs.AIcs.HCarXiv:2608.24340v12026
Automata from Agent Traces: Failure and Next-Step Prediction
Seonglae Cho, Franklin Cardenoso Fernandez, Umar Mohammed +4
cs.AIcs.CLcs.LGarXiv:2608.23670v12026
ExpAlign: Expectation-Guided Vision-Language Alignment for Open-Vocabulary Grounding
Junyi Hu, Tian Bai, Fengyi Wu +3
cs.CVarXiv:2601.22666v12026
RAPTOR: Ridge-Adaptive Logistic Probes
Ziqi Gao, Yaotian Zhu, Qingcheng Zeng +4
cs.LGcs.AIarXiv:2602.00158v22026
nocaps: novel object captioning at scale
Harsh Agrawal, Karan Desai, Yufei Wang +7
cs.CVcs.AIcs.CLarXiv:1812.08658v32018
SSL: Sweet Spot Learning for Differentiated Guidance in Agentic Optimization
Jinyang Wu, Changpeng Yang, Yuhao Shen +9
cs.CLarXiv:2601.22491v12026
Not All Samples Are Created Equal: Deep Learning with Importance Sampling
Angelos Katharopoulos, François Fleuret
cs.LGarXiv:1803.00942v32018
Zero-Shot Text-Guided Object Generation with Dream Fields
Ajay Jain, Ben Mildenhall, Jonathan T. Barron +2
cs.CVcs.AIcs.GRarXiv:2112.01455v22021
Smart Grid Communications: Overview of Research Challenges, Solutions, and Standardization Activities
Zhong Fan, Parag Kulkarni, Sedat Gormus +6
cs.NIcs.DCarXiv:1112.3516v12011
Tlow: Flow-based Item Tokenizer for Recommendation
Nian Li, Chonggang Song, Jingtao Ding +3
cs.IRcs.AIarXiv:2608.24176v12026
Joint Optimization of Tool Creation and Use for Large Language Model Agents
Zhi Rui Tam, Chieh-Yen Lin, Yun-Nung Chen +2
cs.AIcs.SEarXiv:2608.24571v12026
Masked Differential-linear Distinguishers and Quantum Approaches
Shobhit Pandey, Sarbani Sen, Debajyoti Bera +1
quant-phcs.CRarXiv:2608.24799v12026
ORPO: Monolithic Preference Optimization without Reference Model
Jiwoo Hong, Noah Lee, James Thorne
cs.CLcs.AIarXiv:2403.07691v22024
CoDiQ: Test-Time Scaling for Controllable Difficult Question Generation
Zhongyuan Peng, Caijun Xu, Changyi Xiao +4
cs.CLcs.AIarXiv:2602.01660v12026
BatCoder: Self-Supervised Bidirectional Code-Documentation Learning via Back-Translation
Jingwen Xu, Yiyang Lu, Zisu Huang +9
cs.LGcs.AIcs.SEarXiv:2602.02554v12026
Generating High-Quality Crowd Density Maps using Contextual Pyramid CNNs
Vishwanath A. Sindagi, Vishal M. Patel
cs.CVarXiv:1708.00953v12017
Phase Recovery, MaxCut and Complex Semidefinite Programming
Irène Waldspurger, Alexandre d'Aspremont, Stéphane Mallat
math.OCarXiv:1206.0102v32012
ObjEmbed: Towards Universal Multimodal Object Embeddings
Shenghao Fu, Yukun Su, Fengyun Rao +3
cs.CVarXiv:2602.01753v32026
Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning
Yiming Sun, Bing Cao, Pengfei Zhu +1
cs.CVcs.LGeess.IVarXiv:2003.02437v22020
UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022
Takaaki Saeki, Detai Xin, Wataru Nakata +3
cs.SDeess.ASarXiv:2204.02152v22022
INDIBATOR: Diverse and Fact-Grounded Individuality for Multi-Agent Debate in Molecular Discovery
Yunhui Jang, Seonghyun Park, Jaehyung Kim +1
cs.AIarXiv:2602.01815v12026
Discovering Hidden Gems in Model Repositories
Jonathan Kahana, Eliahu Horwitz, Yedid Hoshen
cs.LGcs.CLarXiv:2601.22157v12026
Siam R-CNN: Visual Tracking by Re-Detection
Paul Voigtlaender, Jonathon Luiten, Philip H. S. Torr +1
cs.CVarXiv:1911.12836v22019
StepGuard: Learning Step-Level Guardrails with Scalable Supervision and Safety-Utility Balancing
Zhijie Zheng, Yu Li, Chen Qian +5
cs.AIcs.CRarXiv:2608.24777v12026
Failing to Explore: Language Models on Interactive Tasks
Mahdi JafariRaviz, Keivan Rezaei, Arshia Soltani Moakhar +3
cs.LGarXiv:2601.22345v12026
FOTBCD: A Large-Scale Building Change Detection Benchmark from French Orthophotos and Topographic Data
Abdelrrahman Moubane
cs.CVarXiv:2601.22596v12026
Modular Primitives for High-Performance Differentiable Rendering
Samuli Laine, Janne Hellsten, Tero Karras +3
cs.GRcs.CVcs.LGarXiv:2011.03277v12020
Semantic Image Segmentation via Deep Parsing Network
Ziwei Liu, Xiaoxiao Li, Ping Luo +2
cs.CVarXiv:1509.02634v22015
The Linear Representation Hypothesis and the Geometry of Large Language Models
Kiho Park, Yo Joong Choe, Victor Veitch
cs.CLcs.AIcs.LGarXiv:2311.03658v22023
Lifted Model Construction under Approximate Commutativity
Malte Luttermann, Jan Speller, Tanya Braun +2
cs.AIcs.LGarXiv:2608.24713v12026
Generative Adversarial Networks for Extreme Learned Image Compression
Eirikur Agustsson, Michael Tschannen, Fabian Mentzer +2
cs.CVcs.LGarXiv:1804.02958v32018
Invertible Conditional GANs for image editing
Guim Perarnau, Joost van de Weijer, Bogdan Raducanu +1
cs.CVcs.AIarXiv:1611.06355v12016
Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection
Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter +6
cs.CLarXiv:2004.10643v12020
Machine Learning for Energy-Performance-aware Scheduling
Zheyuan Hu, Yifei Shi
cs.ARcs.AIcs.LGarXiv:2601.23134v12026
NativeTok: Native Visual Tokenization for Improved Image Generation
Bin Wu, Mengqi Huang, Weinan Jia +1
cs.CVarXiv:2601.22837v12026
The Deepfake Detection Challenge (DFDC) Preview Dataset
Brian Dolhansky, Russ Howes, Ben Pflaum +2
cs.CVcs.CYarXiv:1910.08854v22019
FourierSampler: Unlocking Non-Autoregressive Potential in Diffusion Language Models via Frequency-Guided Generation
Siyang He, Qiqi Wang, Xiaoran Liu +8
cs.CLarXiv:2601.23182v22026
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models
Torsten Scholak, Nathan Schucher, Dzmitry Bahdanau
cs.CLcs.PLarXiv:2109.05093v12021
IDeaL: Data-Free Multi-Teacher Distillation via Improved Dead Leaves
Feyza Yavuz, Mert Bülent Sarıyıldız, Diane Larlus
cs.CVarXiv:2608.24759v12026
Optimization of Molecules via Deep Reinforcement Learning
Zhenpeng Zhou, Steven Kearnes, Li Li +2
cs.LGcs.AIstat.MLarXiv:1810.08678v32018
Parabolic Position Encoding: Vision-Centric, Principled, Extrapolatable, General
Christoffer Koo Øhrstrøm, Rafael I. Cabral Muchacho, Yifei Dong +4
cs.CVcs.LGarXiv:2602.01418v22026
Intelligent Reflecting Surface: Practical Phase Shift Model and Beamforming Optimization
Samith Abeywickrama, Rui Zhang, Chau Yuen
eess.SPcs.ITarXiv:1907.06002v42019
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria
Yinlam Chow, Mohammad Ghavamzadeh, Lucas Janson +1
cs.AIcs.LGmath.OCarXiv:1512.01629v32015
Internal Flow Signatures for Self-Checking and Refinement in LLMs
Sungheon Jeong, Sanggeon Yun, Ryozo Masukawa +3
cs.LGarXiv:2602.01897v12026
Graph Neural Network for Traffic Forecasting: A Survey
Weiwei Jiang, Jiayun Luo
cs.LGcs.AIarXiv:2101.11174v42021
SQLite is Enough. Lexical, Semantic, and Hybrid Search with scrydb
Timo Breuer
cs.IRcs.CLcs.DBarXiv:2608.24060v12026
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation
Jianbo Chen, Le Song, Martin J. Wainwright +1
cs.LGcs.AIstat.MLarXiv:1802.07814v22018
MSign: An Optimizer Preventing Training Instability in Large Language Models via Stable Rank Restoration
Lianhai Ren, Yucheng Ding, Xiao Liu +3
cs.LGarXiv:2602.01734v12026
TrustDABench: Benchmarking Reliability and Robustness of LLMs for Structured Data Analysis
Boshen Shi, Yize Liu, Chen Zhao +4
cs.CLcs.SEarXiv:2608.24145v12026
Luce: Relightable Gaussians for 3D Asset Generation
Mayank Singh, Michele Stoppa, Alvise Memo +7
cs.CVcs.AIcs.GRarXiv:2608.23943v12026
BCN20000: Dermoscopic Lesions in the Wild
Marc Combalia, Noel C. F. Codella, Veronica Rotemberg +8
eess.IVcs.CVarXiv:1908.02288v22019
Implicit neural representation of textures
Albert Kwok, Zheyuan Hu, Dounia Hammou
cs.CVcs.AIcs.GRarXiv:2602.02354v12026
Knockoff Nets: Stealing Functionality of Black-Box Models
Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
cs.CVcs.CRcs.LGarXiv:1812.02766v12018
EgoActor: Grounding Task Planning into Spatial-aware Egocentric Actions for Humanoid Robots via Visual-Language Models
Yu Bai, MingMing Yu, Chaojie Li +3
cs.ROcs.CVarXiv:2602.04515v12026
Ahf: Amiga's Halo Finder
Steffen R. Knollmann, Alexander Knebe
astro-ph.COarXiv:0904.3662v12009
LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion
Dongfu Jiang, Xiang Ren, Bill Yuchen Lin
cs.CLcs.AIcs.LGarXiv:2306.02561v32023
A Brief Review of Nature-Inspired Algorithms for Optimization
Iztok Fister, Xin-She Yang, Iztok Fister +2
cs.NEarXiv:1307.4186v12013
Extremal Mechanisms for Local Differential Privacy
Peter Kairouz, Sewoong Oh, Pramod Viswanath
cs.ITarXiv:1407.1338v32014
A Physics Informed Machine Learning Approach for Reconstructing Reynolds Stress Modeling Discrepancies Based on DNS Data
Jian-Xun Wang, Jin-Long Wu, Heng Xiao
physics.flu-dynarXiv:1606.07987v22016
When LLMs Slow Down: How Environmental Impacts Mediate University Students' LLM Usage
Hyeonwook Kim, Xuesi Chen, Alex Cabral +3
cs.HCcs.CYarXiv:2608.23968v12026

Every paper with a summary

Mind the Student: Behavioral and Contextual Cues for Automated Engagement Prediction in Online Learning

Automata from Agent Traces: Failure and Next-Step Prediction

ExpAlign: Expectation-Guided Vision-Language Alignment for Open-Vocabulary Grounding

RAPTOR: Ridge-Adaptive Logistic Probes

nocaps: novel object captioning at scale

SSL: Sweet Spot Learning for Differentiated Guidance in Agentic Optimization

Not All Samples Are Created Equal: Deep Learning with Importance Sampling

Zero-Shot Text-Guided Object Generation with Dream Fields

Smart Grid Communications: Overview of Research Challenges, Solutions, and Standardization Activities

Tlow: Flow-based Item Tokenizer for Recommendation

Joint Optimization of Tool Creation and Use for Large Language Model Agents

Masked Differential-linear Distinguishers and Quantum Approaches

ORPO: Monolithic Preference Optimization without Reference Model

CoDiQ: Test-Time Scaling for Controllable Difficult Question Generation

BatCoder: Self-Supervised Bidirectional Code-Documentation Learning via Back-Translation

Generating High-Quality Crowd Density Maps using Contextual Pyramid CNNs

Phase Recovery, MaxCut and Complex Semidefinite Programming

ObjEmbed: Towards Universal Multimodal Object Embeddings

Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning

UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022

INDIBATOR: Diverse and Fact-Grounded Individuality for Multi-Agent Debate in Molecular Discovery

Discovering Hidden Gems in Model Repositories

Siam R-CNN: Visual Tracking by Re-Detection

StepGuard: Learning Step-Level Guardrails with Scalable Supervision and Safety-Utility Balancing

Failing to Explore: Language Models on Interactive Tasks

FOTBCD: A Large-Scale Building Change Detection Benchmark from French Orthophotos and Topographic Data

Modular Primitives for High-Performance Differentiable Rendering

Semantic Image Segmentation via Deep Parsing Network

The Linear Representation Hypothesis and the Geometry of Large Language Models

Lifted Model Construction under Approximate Commutativity

Generative Adversarial Networks for Extreme Learned Image Compression

Invertible Conditional GANs for image editing

Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection

Machine Learning for Energy-Performance-aware Scheduling

NativeTok: Native Visual Tokenization for Improved Image Generation

The Deepfake Detection Challenge (DFDC) Preview Dataset

FourierSampler: Unlocking Non-Autoregressive Potential in Diffusion Language Models via Frequency-Guided Generation

PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models

IDeaL: Data-Free Multi-Teacher Distillation via Improved Dead Leaves

Optimization of Molecules via Deep Reinforcement Learning

Parabolic Position Encoding: Vision-Centric, Principled, Extrapolatable, General

Intelligent Reflecting Surface: Practical Phase Shift Model and Beamforming Optimization

Risk-Constrained Reinforcement Learning with Percentile Risk Criteria

Internal Flow Signatures for Self-Checking and Refinement in LLMs

Graph Neural Network for Traffic Forecasting: A Survey

SQLite is Enough. Lexical, Semantic, and Hybrid Search with scrydb

Learning to Explain: An Information-Theoretic Perspective on Model Interpretation

MSign: An Optimizer Preventing Training Instability in Large Language Models via Stable Rank Restoration

TrustDABench: Benchmarking Reliability and Robustness of LLMs for Structured Data Analysis

Luce: Relightable Gaussians for 3D Asset Generation

BCN20000: Dermoscopic Lesions in the Wild

Implicit neural representation of textures

Knockoff Nets: Stealing Functionality of Black-Box Models

EgoActor: Grounding Task Planning into Spatial-aware Egocentric Actions for Humanoid Robots via Visual-Language Models

Ahf: Amiga's Halo Finder

LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

A Brief Review of Nature-Inspired Algorithms for Optimization

Extremal Mechanisms for Local Differential Privacy

A Physics Informed Machine Learning Approach for Reconstructing Reynolds Stress Modeling Discrepancies Based on DNS Data

When LLMs Slow Down: How Environmental Impacts Mediate University Students' LLM Usage