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.

Search paper metadata (including unsummarized papers)

15,841 to 15,900 of 118,631

FwdLLM: Efficient FedLLM using Forward Gradient
Mengwei Xu, Dongqi Cai, Yaozong Wu +2
cs.AIcs.LGarXiv:2308.13894v22023
RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D
Lingteng Qiu, Guanying Chen, Xiaodong Gu +7
cs.CVcs.AIarXiv:2311.16918v22023
RF-Diffusion: Radio Signal Generation via Time-Frequency Diffusion
Guoxuan Chi, Zheng Yang, Chenshu Wu +4
cs.LGcs.ITeess.SParXiv:2404.09140v12024
MogaNet: Multi-order Gated Aggregation Network
Siyuan Li, Zedong Wang, Zicheng Liu +6
cs.CVcs.AIarXiv:2211.03295v42022
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization
Emanuele Bugliarello, Hernan Moraldo, Ruben Villegas +7
cs.CVcs.CLarXiv:2308.11606v22023
Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models
Zeping Yu, Yonatan Belinkov, Sophia Ananiadou
cs.CLarXiv:2502.10835v12025
ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation
Xueying Du, Mingwei Liu, Kaixin Wang +7
cs.CLcs.AIarXiv:2308.01861v22023
Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression
Jiahao Li, Bin Li, Yan Lu
eess.IVcs.CVcs.MMarXiv:2207.05894v12022
Spatially parallel decoding for multi-qubit lattice surgery
Sophia Fuhui Lin, Eric C. Peterson, Krishanu Sankar +1
quant-phcs.ARcs.ETarXiv:2403.01353v32024
Deep Learning in Deterministic Computational Mechanics
Leon Herrmann, Stefan Kollmannsberger
cs.LGarXiv:2309.15421v12023
MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation Systems
Yannis Katsis, Sara Rosenthal, Kshitij Fadnis +7
cs.CLcs.AIarXiv:2501.03468v12025
GOOSE Algorithm: A Powerful Optimization Tool for Real-World Engineering Challenges and Beyond
Rebwar Khalid Hamad, Tarik A. Rashid
cs.AIarXiv:2307.10420v32023
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation
Junliang Yu, Xin Xia, Tong Chen +3
cs.IRarXiv:2209.02544v42022
For SALE: State-Action Representation Learning for Deep Reinforcement Learning
Scott Fujimoto, Wei-Di Chang, Edward J. Smith +3
cs.LGcs.AIstat.MLarXiv:2306.02451v22023
Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation
Yixuan Wei, Han Hu, Zhenda Xie +5
cs.CVcs.LGarXiv:2205.14141v32022
OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics
Peiqi Liu, Yaswanth Orru, Jay Vakil +3
cs.ROcs.AIcs.CVarXiv:2401.12202v22024
Faith and Fate: Limits of Transformers on Compositionality
Nouha Dziri, Ximing Lu, Melanie Sclar +13
cs.CLcs.AIcs.LGarXiv:2305.18654v32023
Multimodal Autoregressive Pre-training of Large Vision Encoders
Enrico Fini, Mustafa Shukor, Xiujun Li +13
cs.CVcs.LGarXiv:2411.14402v12024
Domain Adaptive Code Completion via Language Models and Decoupled Domain Databases
Ze Tang, Jidong Ge, Shangqing Liu +4
cs.SEarXiv:2308.09313v22023
VideoGUI: A Benchmark for GUI Automation from Instructional Videos
Kevin Qinghong Lin, Linjie Li, Difei Gao +5
cs.CVcs.AIarXiv:2406.10227v12024
TCP:Textual-based Class-aware Prompt tuning for Visual-Language Model
Hantao Yao, Rui Zhang, Changsheng Xu
cs.CVarXiv:2311.18231v22023
RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models
Haoran Hao, Jiaming Han, Changsheng Li +2
cs.CVcs.AIcs.CLarXiv:2410.13360v32024
Personalized Subgraph Federated Learning
Jinheon Baek, Wonyong Jeong, Jiongdao Jin +2
cs.LGarXiv:2206.10206v32022
MoT: Memory-of-Thought Enables ChatGPT to Self-Improve
Xiaonan Li, Xipeng Qiu
cs.CLcs.AIarXiv:2305.05181v22023
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
Chunlin Tian, Zhan Shi, Zhijiang Guo +2
cs.CLcs.AIarXiv:2404.19245v22024
System-Level Defense against Indirect Prompt Injection Attacks: An Information Flow Control Perspective
Fangzhou Wu, Ethan Cecchetti, Chaowei Xiao
cs.CRarXiv:2409.19091v22024
EsDNN: Deep Neural Network based Multivariate Workload Prediction Approach in Cloud Environment
Minxian Xu, Chenghao Song, Huaming Wu +3
cs.DCarXiv:2203.02684v12022
The Stable Signature: Rooting Watermarks in Latent Diffusion Models
Pierre Fernandez, Guillaume Couairon, Hervé Jégou +2
cs.CVcs.AIarXiv:2303.15435v22023
Task-Customized Mixture of Adapters for General Image Fusion
Pengfei Zhu, Yang Sun, Bing Cao +1
cs.CVarXiv:2403.12494v22024
SwinFace: A Multi-task Transformer for Face Recognition, Expression Recognition, Age Estimation and Attribute Estimation
Lixiong Qin, Mei Wang, Chao Deng +4
cs.CVarXiv:2308.11509v12023
NeRF2: Neural Radio-Frequency Radiance Fields
Xiaopeng Zhao, Zhenlin An, Qingrui Pan +1
cs.NIcs.LGarXiv:2305.06118v22023
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
Yuexiang Xie, Zhen Wang, Dawei Gao +6
cs.LGarXiv:2204.05011v52022
SafeDreamer: Safe Reinforcement Learning with World Models
Weidong Huang, Jiaming Ji, Chunhe Xia +2
cs.LGcs.AIcs.CVarXiv:2307.07176v32023
DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency
Jovan Stojkovic, Chaojie Zhang, Íñigo Goiri +2
cs.AIcs.ARcs.DCarXiv:2408.00741v12024
Summaries:한국어
Intuition vectors
Shahar Haim, Daniel C. McNamee
cs.LGcs.AIarXiv:2609.32619v12026
Learning Universal Policies via Text-Guided Video Generation
Yilun Du, Mengjiao Yang, Bo Dai +5
cs.AIarXiv:2302.00111v32023
CoTracker: It is Better to Track Together
Nikita Karaev, Ignacio Rocco, Benjamin Graham +3
cs.CVarXiv:2307.07635v32023
In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection
H. Fabelo, S. Ortega, A. Szolna +25
eess.IVcs.CVarXiv:2402.10776v12024
Point-E: A System for Generating 3D Point Clouds from Complex Prompts
Alex Nichol, Heewoo Jun, Prafulla Dhariwal +2
cs.CVcs.LGarXiv:2212.08751v12022
Sensing as a Service in 6G Perceptive Networks: A Unified Framework for ISAC Resource Allocation
Fuwang Dong, Fan Liu, Yuanhao Cui +3
eess.SParXiv:2202.09969v32022
Likelihood-Based Diffusion Language Models
Ishaan Gulrajani, Tatsunori B. Hashimoto
cs.CLcs.LGarXiv:2305.18619v12023
Reconfigurable Intelligent Surface: Power Consumption Modeling and Practical Measurement Validation
Jinghe Wang, Wankai Tang, Jing Cheng Liang +6
cs.ITeess.SPmath.ITarXiv:2211.00323v32022
Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification
Anisha Gunjal, Greg Durrett
cs.CLcs.AIarXiv:2406.20079v12024
Deciphering the Enigma of Satellite Computing with COTS Devices: Measurement and Analysis
Ruolin Xing, Mengwei Xu, Ao Zhou +4
cs.NIarXiv:2401.03435v22024
Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks
Shicheng Xu, Liang Pang, Huawei Shen +2
cs.CLarXiv:2304.14732v72023
Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection
Xinjiang Wang, Xingyi Yang, Shilong Zhang +6
cs.CVarXiv:2209.01589v32022
Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts
Yunxin Li, Shenyuan Jiang, Baotian Hu +5
cs.AIcs.CLcs.CVarXiv:2405.11273v12024
Target Sensing with Intelligent Reflecting Surface: Architecture and Performance
Xiaodan Shao, Changsheng You, Wenyan Ma +2
eess.SParXiv:2201.09091v22022
Wonder3D: Single Image to 3D using Cross-Domain Diffusion
Xiaoxiao Long, Yuan-Chen Guo, Cheng Lin +8
cs.CVarXiv:2310.15008v32023
SottoVoce: An Ultrasound Imaging-Based Silent Speech Interaction Using Deep Neural Networks
Naoki Kimura, Michinari Kono, Jun Rekimoto
cs.HCcs.LGcs.SDarXiv:2303.01758v12023
Large Language Models are Edge-Case Fuzzers: Testing Deep Learning Libraries via FuzzGPT
Yinlin Deng, Chunqiu Steven Xia, Chenyuan Yang +3
cs.SEarXiv:2304.02014v12023
Content-Based Collaborative Generation for Recommender Systems
Yidan Wang, Zhaochun Ren, Weiwei Sun +9
cs.IRarXiv:2403.18480v22024
EdgeMoE: Empowering Sparse Large Language Models on Mobile Devices
Rongjie Yi, Liwei Guo, Shiyun Wei +3
cs.LGcs.AIcs.CLarXiv:2308.14352v22023
High Resolution Point Clouds from mmWave Radar
Akarsh Prabhakara, Tao Jin, Arnav Das +6
cs.ROcs.NIeess.SParXiv:2206.09273v22022
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
Zemin Liu, Xingtong Yu, Yuan Fang +1
cs.LGcs.CLarXiv:2302.08043v32023
Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples
Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar +4
cs.CLcs.AIarXiv:2305.15269v32023
Integrated Sensing and Communications for V2I Networks: Dynamic Predictive Beamforming for Extended Vehicle Targets
Zhen Du, Fan Liu, Weijie Yuan +4
eess.SParXiv:2111.10152v22021
A Systematic Review of Green AI
Roberto Verdecchia, June Sallou, Luís Cruz
cs.AIarXiv:2301.11047v32023
Visual Style Prompting with Swapping Self-Attention
Jaeseok Jeong, Junho Kim, Yunjey Choi +2
cs.CVarXiv:2402.12974v22024
Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline
Pengyu Zhang, Jie Zhao, Dong Wang +2
cs.CVarXiv:2204.04120v12022

Every paper with a summary

FwdLLM: Efficient FedLLM using Forward Gradient

RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D

RF-Diffusion: Radio Signal Generation via Time-Frequency Diffusion

MogaNet: Multi-order Gated Aggregation Network

StoryBench: A Multifaceted Benchmark for Continuous Story Visualization

Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models

ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation

Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression

Spatially parallel decoding for multi-qubit lattice surgery

Deep Learning in Deterministic Computational Mechanics

MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation Systems

GOOSE Algorithm: A Powerful Optimization Tool for Real-World Engineering Challenges and Beyond

XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation

For SALE: State-Action Representation Learning for Deep Reinforcement Learning

Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation

OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics

Faith and Fate: Limits of Transformers on Compositionality

Multimodal Autoregressive Pre-training of Large Vision Encoders

Domain Adaptive Code Completion via Language Models and Decoupled Domain Databases

VideoGUI: A Benchmark for GUI Automation from Instructional Videos

TCP:Textual-based Class-aware Prompt tuning for Visual-Language Model

RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models

Personalized Subgraph Federated Learning

MoT: Memory-of-Thought Enables ChatGPT to Self-Improve

HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

System-Level Defense against Indirect Prompt Injection Attacks: An Information Flow Control Perspective

EsDNN: Deep Neural Network based Multivariate Workload Prediction Approach in Cloud Environment

The Stable Signature: Rooting Watermarks in Latent Diffusion Models

Task-Customized Mixture of Adapters for General Image Fusion

SwinFace: A Multi-task Transformer for Face Recognition, Expression Recognition, Age Estimation and Attribute Estimation

NeRF2: Neural Radio-Frequency Radiance Fields

FederatedScope: A Flexible Federated Learning Platform for Heterogeneity

SafeDreamer: Safe Reinforcement Learning with World Models

DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency

Intuition vectors

Learning Universal Policies via Text-Guided Video Generation

CoTracker: It is Better to Track Together

In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection

Point-E: A System for Generating 3D Point Clouds from Complex Prompts

Sensing as a Service in 6G Perceptive Networks: A Unified Framework for ISAC Resource Allocation

Likelihood-Based Diffusion Language Models

Reconfigurable Intelligent Surface: Power Consumption Modeling and Practical Measurement Validation

Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification

Deciphering the Enigma of Satellite Computing with COTS Devices: Measurement and Analysis

Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks

Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection

Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts

Target Sensing with Intelligent Reflecting Surface: Architecture and Performance

Wonder3D: Single Image to 3D using Cross-Domain Diffusion

SottoVoce: An Ultrasound Imaging-Based Silent Speech Interaction Using Deep Neural Networks

Large Language Models are Edge-Case Fuzzers: Testing Deep Learning Libraries via FuzzGPT

Content-Based Collaborative Generation for Recommender Systems

EdgeMoE: Empowering Sparse Large Language Models on Mobile Devices

High Resolution Point Clouds from mmWave Radar

GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks

Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples

Integrated Sensing and Communications for V2I Networks: Dynamic Predictive Beamforming for Extended Vehicle Targets

A Systematic Review of Green AI

Visual Style Prompting with Swapping Self-Attention

Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline