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)

92,821 to 92,880 of 102,662

Transforming Sentiment Analysis in the Financial Domain with ChatGPT
Georgios Fatouros, John Soldatos, Kalliopi Kouroumali +2
cs.CLcs.AIcs.CEarXiv:2308.07935v12023
Large Language Models Can Be Easily Distracted by Irrelevant Context
Freda Shi, Xinyun Chen, Kanishka Misra +5
cs.CLcs.AIarXiv:2302.00093v32023
Darts: User-Friendly Modern Machine Learning for Time Series
Julien Herzen, Francesco Lässig, Samuele Giuliano Piazzetta +16
cs.LGstat.COarXiv:2110.03224v32021
rPPG-Toolbox: Deep Remote PPG Toolbox
Xin Liu, Girish Narayanswamy, Akshay Paruchuri +7
cs.CVarXiv:2210.00716v32022
Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation
Tao Fang, Shu Yang, Kaixin Lan +4
cs.CLarXiv:2304.01746v12023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li, Dongxu Li, Silvio Savarese +1
cs.CVarXiv:2301.12597v32023
MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions
Henghui Ding, Chang Liu, Shuting He +2
cs.CVarXiv:2308.08544v12023
Detecting and Preventing Hallucinations in Large Vision Language Models
Anisha Gunjal, Jihan Yin, Erhan Bas
cs.CVcs.LGarXiv:2308.06394v32023
Fine-tuning ChatGPT for Automatic Scoring
Ehsan Latif, Xiaoming Zhai
cs.CLcs.AIarXiv:2310.10072v32023
Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping
Chi-Ming Chung, Yang-Che Tseng, Ya-Ching Hsu +6
cs.ROcs.CVarXiv:2209.13274v22022
Fine-Tuning LLaMA for Multi-Stage Text Retrieval
Xueguang Ma, Liang Wang, Nan Yang +2
cs.IRarXiv:2310.08319v12023
R2GenGPT: Radiology Report Generation with Frozen LLMs
Zhanyu Wang, Lingqiao Liu, Lei Wang +1
cs.CVarXiv:2309.09812v22023
Towards Flexible Blind JPEG Artifacts Removal
Jiaxi Jiang, Kai Zhang, Radu Timofte
eess.IVcs.CVarXiv:2109.14573v12021
Hallucinations in Large Multilingual Translation Models
Nuno M. Guerreiro, Duarte Alves, Jonas Waldendorf +4
cs.CLarXiv:2303.16104v12023
Learning on Large-scale Text-attributed Graphs via Variational Inference
Jianan Zhao, Meng Qu, Chaozhuo Li +5
cs.LGarXiv:2210.14709v22022
Source-Free Unsupervised Domain Adaptation: A Survey
Yuqi Fang, Pew-Thian Yap, Weili Lin +2
cs.CVcs.AIcs.LGarXiv:2301.00265v22022
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
Xiang Yue, Xingwei Qu, Ge Zhang +5
cs.CLarXiv:2309.05653v32023
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators
Yihang Yin, Qingzhong Wang, Siyu Huang +2
cs.LGarXiv:2109.10259v22021
Large Language Models for Software Engineering: Survey and Open Problems
Angela Fan, Beliz Gokkaya, Mark Harman +4
cs.SEarXiv:2310.03533v42023
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion
Jinheng Xie, Yuexiang Li, Yawen Huang +4
cs.CVarXiv:2307.10816v42023
Impact of Code Language Models on Automated Program Repair
Nan Jiang, Kevin Liu, Thibaud Lutellier +1
cs.SEarXiv:2302.05020v32023
When Internet of Things meets Metaverse: Convergence of Physical and Cyber Worlds
Kai Li, Yingping Cui, Weicai Li +6
cs.NIarXiv:2208.13501v12022
DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4
Zhengliang Liu, Yue Huang, Xiaowei Yu +15
cs.CLcs.CYarXiv:2303.11032v32023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden
cs.LGcond-mat.dis-nnmath.PRarXiv:2303.08797v42023
A Tutorial on Extremely Large-Scale MIMO for 6G: Fundamentals, Signal Processing, and Applications
Zhe Wang, Jiayi Zhang, Hongyang Du +6
cs.ITeess.SParXiv:2307.07340v22023
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering
Shamane Siriwardhana, Rivindu Weerasekera, Elliott Wen +3
cs.CLcs.AIcs.IRarXiv:2210.02627v12022
Ramulator 2.0: A Modern, Modular, and Extensible DRAM Simulator
Haocong Luo, Yahya Can Tuğrul, F. Nisa Bostancı +3
cs.ARcs.CRarXiv:2308.11030v22023
Centralized Feature Pyramid for Object Detection
Yu Quan, Dong Zhang, Liyan Zhang +1
cs.CVarXiv:2210.02093v12022
Towards Large-Scale Small Object Detection: Survey and Benchmarks
Gong Cheng, Xiang Yuan, Xiwen Yao +4
cs.CVarXiv:2207.14096v42022
REPLUG: Retrieval-Augmented Black-Box Language Models
Weijia Shi, Sewon Min, Michihiro Yasunaga +5
cs.CLarXiv:2301.12652v42023
What does CLIP know about a red circle? Visual prompt engineering for VLMs
Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi
cs.CVarXiv:2304.06712v22023
MVImgNet: A Large-scale Dataset of Multi-view Images
Xianggang Yu, Mutian Xu, Yidan Zhang +10
cs.CVarXiv:2303.06042v12023
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks
Tilman Räuker, Anson Ho, Stephen Casper +1
cs.LGcs.AIcs.CLarXiv:2207.13243v62022
SmallCap: Lightweight Image Captioning Prompted with Retrieval Augmentation
Rita Ramos, Bruno Martins, Desmond Elliott +1
cs.CVcs.CLarXiv:2209.15323v22022
RTMDet: An Empirical Study of Designing Real-Time Object Detectors
Chengqi Lyu, Wenwei Zhang, Haian Huang +5
cs.CVarXiv:2212.07784v22022
Objaverse: A Universe of Annotated 3D Objects
Matt Deitke, Dustin Schwenk, Jordi Salvador +7
cs.CVcs.AIcs.GRarXiv:2212.08051v12022
Autonomous Vehicles in 5G and Beyond: A Survey
Saqib Hakak, Thippa Reddy Gadekallu, Swarna Priya Ramu +4
cs.NIarXiv:2207.10510v12022
Split Learning in 6G Edge Networks
Zheng Lin, Guanqiao Qu, Xianhao Chen +1
cs.LGcs.DCcs.NIarXiv:2306.12194v32023
Virtual Sparse Convolution for Multimodal 3D Object Detection
Hai Wu, Chenglu Wen, Shaoshuai Shi +2
cs.CVarXiv:2303.02314v12023
CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention
Ziyu Guo, Renrui Zhang, Longtian Qiu +4
cs.CVcs.AIcs.MMarXiv:2209.14169v22022
"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models
Xinyue Shen, Zeyuan Chen, Michael Backes +2
cs.CRcs.LGarXiv:2308.03825v22023
Emotion Recognition from Multiple Modalities: Fundamentals and Methodologies
Sicheng Zhao, Guoli Jia, Jufeng Yang +2
eess.SPcs.AIcs.LGarXiv:2108.10152v12021
SVIT: Scaling up Visual Instruction Tuning
Bo Zhao, Boya Wu, Muyang He +1
cs.CVarXiv:2307.04087v32023
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction
Renhe Jiang, Du Yin, Zhaonan Wang +7
cs.LGarXiv:2108.09091v12021
Large Language Models Empowered Autonomous Edge AI for Connected Intelligence
Yifei Shen, Jiawei Shao, Xinjie Zhang +5
cs.ITcs.LGcs.NIarXiv:2307.02779v32023
FourLLIE: Boosting Low-Light Image Enhancement by Fourier Frequency Information
Chenxi Wang, Hongjun Wu, Zhi Jin
cs.CVeess.IVarXiv:2308.03033v12023
Hidden Biases of End-to-End Driving Models
Bernhard Jaeger, Kashyap Chitta, Andreas Geiger
cs.CVcs.AIcs.LGarXiv:2306.07957v22023
Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models
Wen Wang, Yan Jiang, Kangyang Xie +5
cs.CVarXiv:2303.17599v32023
An Overview on Generative AI at Scale with Edge-Cloud Computing
Yun-Cheng Wang, Jintang Xue, Chengwei Wei +1
cs.DCcs.AIcs.SYarXiv:2306.17170v22023
MECCANO: A Multimodal Egocentric Dataset for Humans Behavior Understanding in the Industrial-like Domain
Francesco Ragusa, Antonino Furnari, Giovanni Maria Farinella
cs.CVarXiv:2209.08691v12022
Effective Whole-body Pose Estimation with Two-stages Distillation
Zhendong Yang, Ailing Zeng, Chun Yuan +1
cs.CVarXiv:2307.15880v22023
The Forward-Forward Algorithm: Some Preliminary Investigations
Geoffrey Hinton
cs.LGarXiv:2212.13345v12022
ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory
Chenxu Hu, Jie Fu, Chenzhuang Du +3
cs.AIcs.CLcs.DBarXiv:2306.03901v22023
Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback
Baolin Peng, Michel Galley, Pengcheng He +8
cs.CLcs.AIarXiv:2302.12813v32023
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks
Chengshu Li, Fei Xia, Roberto Martín-Martín +13
cs.ROcs.AIcs.CVarXiv:2108.03272v42021
Gender bias and stereotypes in Large Language Models
Hadas Kotek, Rikker Dockum, David Q. Sun
cs.CLcs.CYcs.LGarXiv:2308.14921v12023
SINE: SINgle Image Editing with Text-to-Image Diffusion Models
Zhixing Zhang, Ligong Han, Arnab Ghosh +2
cs.CVcs.AIarXiv:2212.04489v22022
ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning
Junting Pan, Ziyi Lin, Xiatian Zhu +2
cs.CVarXiv:2206.13559v32022
Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization
Wenhao Gao, Tianfan Fu, Jimeng Sun +1
cs.CEq-bio.BMarXiv:2206.12411v22022
ExpeL: LLM Agents Are Experiential Learners
Andrew Zhao, Daniel Huang, Quentin Xu +3
cs.LGcs.AIcs.CLarXiv:2308.10144v32023

Every paper with a summary

Transforming Sentiment Analysis in the Financial Domain with ChatGPT

Large Language Models Can Be Easily Distracted by Irrelevant Context

Darts: User-Friendly Modern Machine Learning for Time Series

rPPG-Toolbox: Deep Remote PPG Toolbox

Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions

Detecting and Preventing Hallucinations in Large Vision Language Models

Fine-tuning ChatGPT for Automatic Scoring

Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping

Fine-Tuning LLaMA for Multi-Stage Text Retrieval

R2GenGPT: Radiology Report Generation with Frozen LLMs

Towards Flexible Blind JPEG Artifacts Removal

Hallucinations in Large Multilingual Translation Models

Learning on Large-scale Text-attributed Graphs via Variational Inference

Source-Free Unsupervised Domain Adaptation: A Survey

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning

AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators

Large Language Models for Software Engineering: Survey and Open Problems

BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion

Impact of Code Language Models on Automated Program Repair

When Internet of Things meets Metaverse: Convergence of Physical and Cyber Worlds

DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4

Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

A Tutorial on Extremely Large-Scale MIMO for 6G: Fundamentals, Signal Processing, and Applications

Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering

Ramulator 2.0: A Modern, Modular, and Extensible DRAM Simulator

Centralized Feature Pyramid for Object Detection

Towards Large-Scale Small Object Detection: Survey and Benchmarks

REPLUG: Retrieval-Augmented Black-Box Language Models

What does CLIP know about a red circle? Visual prompt engineering for VLMs

MVImgNet: A Large-scale Dataset of Multi-view Images

Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks

SmallCap: Lightweight Image Captioning Prompted with Retrieval Augmentation

RTMDet: An Empirical Study of Designing Real-Time Object Detectors

Objaverse: A Universe of Annotated 3D Objects

Autonomous Vehicles in 5G and Beyond: A Survey

Split Learning in 6G Edge Networks

Virtual Sparse Convolution for Multimodal 3D Object Detection

CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention

"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models

Emotion Recognition from Multiple Modalities: Fundamentals and Methodologies

SVIT: Scaling up Visual Instruction Tuning

DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction

Large Language Models Empowered Autonomous Edge AI for Connected Intelligence

FourLLIE: Boosting Low-Light Image Enhancement by Fourier Frequency Information

Hidden Biases of End-to-End Driving Models

Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models

An Overview on Generative AI at Scale with Edge-Cloud Computing

MECCANO: A Multimodal Egocentric Dataset for Humans Behavior Understanding in the Industrial-like Domain

Effective Whole-body Pose Estimation with Two-stages Distillation

The Forward-Forward Algorithm: Some Preliminary Investigations

ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory

Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback

iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks

Gender bias and stereotypes in Large Language Models

SINE: SINgle Image Editing with Text-to-Image Diffusion Models

ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning

Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization

ExpeL: LLM Agents Are Experiential Learners