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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16,861 to 16,920 of 61,258

The Hidden Cost of Accommodating Crowdfunder Privacy Preferences: A Randomized Field Experiment
Gordon Burtch, Anindya Ghose, Sunil Wattal
cs.SIcs.CYarXiv:1408.4194v12014
Introduction to Neutrosophic Statistics
Florentin Smarandache
cs.AIarXiv:1406.2000v12014
Command A: An Enterprise-Ready Large Language Model
Team Cohere, :, Aakanksha +227
cs.CLcs.AIcs.LGarXiv:2504.00698v22025
Customizing Emotional Support: How Do Individuals Construct and Interact With LLM-Powered Chatbots
Xi Zheng, Zhuoyang Li, Xinning Gui +1
cs.HCarXiv:2504.12943v22025
Residual Corrective Diffusion Modeling for Km-scale Atmospheric Downscaling
Morteza Mardani, Noah Brenowitz, Yair Cohen +10
cs.LGphysics.ao-pharXiv:2309.15214v42023
Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs
Brandon Smart, Chuanxia Zheng, Iro Laina +1
cs.CVcs.LGarXiv:2408.13912v22024
The power of randomness in Bayesian optimal mechanism design
Shuchi Chawla, David Malec, Balasubramanian Sivan
cs.GTarXiv:1002.3893v22010
An Optimal Lower Bound on the Communication Complexity of Gap-Hamming-Distance
Amit Chakrabarti, Oded Regev
cs.CCmath.MGarXiv:1009.3460v32010
Current Pathology Foundation Models are unrobust to Medical Center Differences
Edwin D. de Jong, Eric Marcus, Jonas Teuwen
cs.LGcs.AIarXiv:2501.18055v22025
Driving on Registers
Ellington Kirby, Alexandre Boulch, Yihong Xu +11
cs.CVcs.AIcs.ROarXiv:2601.05083v22026
Improving Sample Quality of Diffusion Models Using Self-Attention Guidance
Susung Hong, Gyuseong Lee, Wooseok Jang +1
cs.CVcs.AIcs.LGarXiv:2210.00939v62022
HiDream-O1-Image: A Natively Unified Image Generative Foundation Model with Pixel-level Unified Transformer
Qi Cai, Jingwen Chen, Chengmin Gao +22
cs.CVcs.MMarXiv:2605.11061v12026
DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs
Jongwoo Ko, Tianyi Chen, Sungnyun Kim +4
cs.CLcs.AIcs.LGarXiv:2503.07067v22025
Efficient Language-to-Vision Feature Injection for Referring Single-Object Tracking
Han Wang, Yuxuan Liu, Yuhan Sun +5
cs.CVarXiv:2608.29126v12026
PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled Computing System
Yintao He, Haiyu Mao, Christina Giannoula +6
cs.ARcs.AIcs.DCarXiv:2502.15470v22025
Semantic Object Parsing with Local-Global Long Short-Term Memory
Xiaodan Liang, Xiaohui Shen, Donglai Xiang +3
cs.CVarXiv:1511.04510v12015
Offensive Language and Hate Speech Detection for Danish
Gudbjartur Ingi Sigurbergsson, Leon Derczynski
cs.CLarXiv:1908.04531v22019
The Role of Network Topology and Opponent Information in Shaping Cooperation in Multi-Agent Reinforcement Learning Systems
Seongho Son, Stephen Hailes, Mirco Musolesi
cs.AIarXiv:2608.28977v12026
WorldEval: World Model as Real-World Robot Policies Evaluator
Yaxuan Li, Yichen Zhu, Junjie Wen +2
cs.ROcs.CVcs.LGarXiv:2505.19017v12025
Video Playback Rate Perception for Self-supervisedSpatio-Temporal Representation Learning
Yuan Yao, Chang Liu, Dezhao Luo +2
cs.CVarXiv:2006.11476v12020
Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey
Mohamad A. Hady, Siyi Hu, Mahardhika Pratama +2
cs.MAcs.AIcs.LGarXiv:2504.21048v12025
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models
Vincent Le Guen, Nicolas Thome
stat.MLcs.LGarXiv:1909.09020v42019
Efficient Diffusion Policies for Offline Reinforcement Learning
Bingyi Kang, Xiao Ma, Chao Du +2
cs.LGcs.AIarXiv:2305.20081v22023
Energy-Weighted Flow Matching for Offline Reinforcement Learning
Shiyuan Zhang, Weitong Zhang, Quanquan Gu
cs.LGarXiv:2503.04975v12025
Follow-Your-Emoji: Fine-Controllable and Expressive Freestyle Portrait Animation
Yue Ma, Hongyu Liu, Hongfa Wang +8
cs.CVarXiv:2406.01900v32024
A Sharp Unitarily Invariant Norm Bound for the Off-Diagonal Block Perturbation of a Hermitian Matrix
Lei-Hong Zhang, Ren-Cang Li
math.NAarXiv:2608.29009v12026
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
Yang Li, Jinpei Guo, Runzhong Wang +2
cs.LGarXiv:2502.02941v12025
Recognizing Fine-Grained and Composite Activities using Hand-Centric Features and Script Data
Marcus Rohrbach, Anna Rohrbach, Michaela Regneri +4
cs.CVarXiv:1502.06648v22015
The relationship between professional and general ethics in generative AI
Omri Asscher, Mirco Musolesi
cs.CYarXiv:2608.29306v12026
Unsupervised Extraction of Video Highlights Via Robust Recurrent Auto-encoders
Huan Yang, Baoyuan Wang, Stephen Lin +3
cs.CVarXiv:1510.01442v12015
Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings
Ondřej Dušek, Filip Jurčíček
cs.CLarXiv:1606.05491v12016
The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares
Rong Ge, Sham M. Kakade, Rahul Kidambi +1
cs.LGmath.OCstat.MLarXiv:1904.12838v22019
Hardness of Approximation of Rank Aggregation on Ulam Metric
Sk Ruhul Azgor, Diptarka Chakraborty, Le Van Cuong +2
cs.CCcs.DSarXiv:2608.29180v12026
Spectral Independence in High-Dimensional Expanders and Applications to the Hardcore Model
Nima Anari, Kuikui Liu, Shayan Oveis Gharan
cs.DSarXiv:2001.00303v32020
Test-Time Scaling for Video Diffusion Models via Diagnosis-Guided Candidate Recycling
Hangzhou He, Lunhao Duan, Shanshan Zhao +4
cs.CVarXiv:2608.29322v12026
A Survey of Automatic Prompt Engineering: An Optimization Perspective
Wenwu Li, Xiangfeng Wang, Wenhao Li +1
cs.AIcs.LGarXiv:2502.11560v12025
Dynamic Slimmable Network
Changlin Li, Guangrun Wang, Bing Wang +3
cs.CVarXiv:2103.13258v12021
Co-Evolutionary Prompt Optimization with Cross-Category Transfer for Zero-Shot Anomaly Detection
Sisi Zhu, Changwei Yu, Renshuai Tao +1
cs.CVarXiv:2608.29467v12026
SE-Agent: Self-Evolution Trajectory Optimization in Multi-Step Reasoning with LLM-Based Agents
Jiaye Lin, Yifu Guo, Yuzhen Han +11
cs.AIarXiv:2508.02085v62025
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning
Kai Zhu, Yang Cao, Wei Zhai +2
cs.CVarXiv:2107.08918v12021
LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?
Zihan Zheng, Zerui Cheng, Zeyu Shen +16
cs.SEcs.AIcs.CLarXiv:2506.11928v12025
Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control
Longtao Zheng, Rundong Wang, Xinrun Wang +1
cs.AIarXiv:2306.07863v32023
Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay
Yifan Sun, Jingyan Shen, Yibin Wang +4
cs.LGcs.AIcs.CLarXiv:2506.05316v42025
Sparse Regression Learning by Aggregation and Langevin Monte-Carlo
Arnak Dalalyan, Alexandre B. Tsybakov
stat.APmath.STarXiv:0903.1223v32009
GENMO: A GENeralist Model for Human MOtion
Jiefeng Li, Jinkun Cao, Haotian Zhang +4
cs.GRcs.AIcs.CVarXiv:2505.01425v12025
SGPDFuse: Semantically-Guided Physics-Disentanglement General Multi-Modal Image Fusion
Haozhen Wei, Chengjun Jiang, Yutong Guo +4
cs.CVarXiv:2608.29220v12026
Randomized Sketches of Convex Programs with Sharp Guarantees
Mert Pilanci, Martin J. Wainwright
cs.ITcs.DSmath.OCarXiv:1404.7203v12014
Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis
Haoye Dong, Xiaodan Liang, Ke Gong +3
cs.CVarXiv:1810.11610v22018
From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate
Alexandra Sasha Luccioni, Emma Strubell, Kate Crawford
cs.CYarXiv:2501.16548v22025
Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation
Liyiming Ke, Xiujun Li, Yonatan Bisk +6
cs.CLcs.CVcs.LGarXiv:1903.02547v22019
What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning
Jane Pan, Tianyu Gao, Howard Chen +1
cs.CLcs.LGarXiv:2305.09731v12023
Foundational feature fusion for conditional flow matching in 6D pose estimation
Amir Hamza, Davide Boscaini, Fabio Poiesi
cs.CVarXiv:2608.29183v12026
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling
Chuizheng Meng, Sirisha Rambhatla, Yan Liu
cs.LGcs.AIarXiv:2106.05223v12021
A Retrieve-and-Edit Framework for Predicting Structured Outputs
Tatsunori B. Hashimoto, Kelvin Guu, Yonatan Oren +1
stat.MLcs.LGarXiv:1812.01194v12018
Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search
Yuichi Inoue, Kou Misaki, Yuki Imajuku +3
cs.AIarXiv:2503.04412v52025
Zombie Agents: Persistent Control of Self-Evolving LLM Agents via Self-Reinforcing Injections
Xianglin Yang, Yufei He, Shuo Ji +2
cs.CRcs.AIarXiv:2602.15654v22026
Multilingual Topic Models for Unaligned Text
Jordan Boyd-Graber, David Blei
cs.CLcs.IRcs.LGarXiv:1205.2657v12012
An empirical analysis of the use of alphabetical authorship in scientific publishing
Ludo Waltman
cs.DLarXiv:1206.4863v12012
Beyond the Answer Key: Robustness Evaluation of Large Language Models for Step-Level Mathematical Verification
Fateme Mazdarani, Carlos Toxtli
cs.AIarXiv:2608.28725v12026
The Multiscale Laplacian Graph Kernel
Risi Kondor, Horace Pan
stat.MLarXiv:1603.06186v22016

Every paper with a summary

The Hidden Cost of Accommodating Crowdfunder Privacy Preferences: A Randomized Field Experiment

Introduction to Neutrosophic Statistics

Command A: An Enterprise-Ready Large Language Model

Customizing Emotional Support: How Do Individuals Construct and Interact With LLM-Powered Chatbots

Residual Corrective Diffusion Modeling for Km-scale Atmospheric Downscaling

Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs

The power of randomness in Bayesian optimal mechanism design

An Optimal Lower Bound on the Communication Complexity of Gap-Hamming-Distance

Current Pathology Foundation Models are unrobust to Medical Center Differences

Driving on Registers

Improving Sample Quality of Diffusion Models Using Self-Attention Guidance

HiDream-O1-Image: A Natively Unified Image Generative Foundation Model with Pixel-level Unified Transformer

DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs

Efficient Language-to-Vision Feature Injection for Referring Single-Object Tracking

PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled Computing System

Semantic Object Parsing with Local-Global Long Short-Term Memory

Offensive Language and Hate Speech Detection for Danish

The Role of Network Topology and Opponent Information in Shaping Cooperation in Multi-Agent Reinforcement Learning Systems

WorldEval: World Model as Real-World Robot Policies Evaluator

Video Playback Rate Perception for Self-supervisedSpatio-Temporal Representation Learning

Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey

Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models

Efficient Diffusion Policies for Offline Reinforcement Learning

Energy-Weighted Flow Matching for Offline Reinforcement Learning

Follow-Your-Emoji: Fine-Controllable and Expressive Freestyle Portrait Animation

A Sharp Unitarily Invariant Norm Bound for the Off-Diagonal Block Perturbation of a Hermitian Matrix

Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization

Recognizing Fine-Grained and Composite Activities using Hand-Centric Features and Script Data

The relationship between professional and general ethics in generative AI

Unsupervised Extraction of Video Highlights Via Robust Recurrent Auto-encoders

Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings

The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares

Hardness of Approximation of Rank Aggregation on Ulam Metric

Spectral Independence in High-Dimensional Expanders and Applications to the Hardcore Model

Test-Time Scaling for Video Diffusion Models via Diagnosis-Guided Candidate Recycling

A Survey of Automatic Prompt Engineering: An Optimization Perspective

Dynamic Slimmable Network

Co-Evolutionary Prompt Optimization with Cross-Category Transfer for Zero-Shot Anomaly Detection

SE-Agent: Self-Evolution Trajectory Optimization in Multi-Step Reasoning with LLM-Based Agents

Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning

LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?

Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay

Sparse Regression Learning by Aggregation and Langevin Monte-Carlo

GENMO: A GENeralist Model for Human MOtion

SGPDFuse: Semantically-Guided Physics-Disentanglement General Multi-Modal Image Fusion

Randomized Sketches of Convex Programs with Sharp Guarantees

Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis

From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate

Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation

What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning

Foundational feature fusion for conditional flow matching in 6D pose estimation

Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling

A Retrieve-and-Edit Framework for Predicting Structured Outputs

Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search

Zombie Agents: Persistent Control of Self-Evolving LLM Agents via Self-Reinforcing Injections

Multilingual Topic Models for Unaligned Text

An empirical analysis of the use of alphabetical authorship in scientific publishing

Beyond the Answer Key: Robustness Evaluation of Large Language Models for Step-Level Mathematical Verification

The Multiscale Laplacian Graph Kernel