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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109,921 to 109,980 of 119,654

Transformative Effects of ChatGPT on Modern Education: Emerging Era of AI Chatbots
Sukhpal Singh Gill, Minxian Xu, Panos Patros +18
cs.CYcs.AIcs.CLarXiv:2306.03823v12023
Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking
Nikhil Prakash, Tamar Rott Shaham, Tal Haklay +2
cs.CLcs.LGarXiv:2402.14811v12024
BridgeData V2: A Dataset for Robot Learning at Scale
Homer Walke, Kevin Black, Abraham Lee +11
cs.ROcs.LGarXiv:2308.12952v32023
ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding
Dailan He, Ziming Yang, Weikun Peng +3
cs.CVeess.IVarXiv:2203.10886v22022
Train Offline, Test Online: A Real Robot Learning Benchmark
Gaoyue Zhou, Victoria Dean, Mohan Kumar Srirama +9
cs.ROcs.AIcs.CVarXiv:2306.00942v22023
Chain-of-Verification Reduces Hallucination in Large Language Models
Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu +4
cs.CLcs.AIarXiv:2309.11495v22023
Improving Text Embeddings with Large Language Models
Liang Wang, Nan Yang, Xiaolong Huang +3
cs.CLcs.IRarXiv:2401.00368v32023
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
Yiran Ding, Li Lyna Zhang, Chengruidong Zhang +5
cs.CLarXiv:2402.13753v12024
A high-resolution canopy height model of the Earth
Nico Lang, Walter Jetz, Konrad Schindler +1
cs.CVcs.LGeess.IVarXiv:2204.08322v12022
Capabilities of GPT-4 on Medical Challenge Problems
Harsha Nori, Nicholas King, Scott Mayer McKinney +2
cs.CLcs.AIarXiv:2303.13375v22023
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol +2
cs.CVarXiv:2204.06125v12022
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
Zhe Chen, Jiannan Wu, Wenhai Wang +12
cs.CVarXiv:2312.14238v32023
PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation
Yuqi Wang, Yuntao Chen, Xingyu Liao +2
cs.CVcs.ROarXiv:2306.10013v12023
Testing a Neural Network for Anomaly Detection in the CMS Global Trigger Test Crate during Run 3
Noah Zipper
hep-exphysics.ins-detarXiv:2312.10009v12023
Comparing YOLOv8 and Mask R-CNN for instance segmentation in complex orchard environments
Ranjan Sapkota, Dawood Ahmed, Manoj Karkee
cs.CVarXiv:2312.07935v42023
DN-DETR: Accelerate DETR Training by Introducing Query DeNoising
Feng Li, Hao Zhang, Shilong Liu +3
cs.CVcs.AIarXiv:2203.01305v32022
ADD 2023: the Second Audio Deepfake Detection Challenge
Jiangyan Yi, Jianhua Tao, Ruibo Fu +15
cs.SDeess.ASarXiv:2305.13774v12023
BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing
Dongxu Li, Junnan Li, Steven C. H. Hoi
cs.CVcs.AIarXiv:2305.14720v22023
Compact 3D Scene Representation via Self-Organizing Gaussian Grids
Wieland Morgenstern, Florian Barthel, Anna Hilsmann +1
cs.CVarXiv:2312.13299v22023
A Review on Internet of Things for Defense and Public Safety
Paula Fraga-Lamas, Tiago M. Fernández-Caramés, Manuel Suárez-Albela +2
eess.SYcs.CRcs.CYarXiv:2402.03599v12024
Semantic-SAM: Segment and Recognize Anything at Any Granularity
Feng Li, Hao Zhang, Peize Sun +6
cs.CVarXiv:2307.04767v12023
Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models
Muhammad Maaz, Hanoona Rasheed, Salman Khan +1
cs.CVarXiv:2306.05424v22023
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
Ming Jin, Huan Yee Koh, Qingsong Wen +5
cs.LGcs.AIarXiv:2307.03759v32023
Can Language Models Solve Graph Problems in Natural Language?
Heng Wang, Shangbin Feng, Tianxing He +3
cs.CLcs.AIarXiv:2305.10037v32023
Anomalib: A Deep Learning Library for Anomaly Detection
Samet Akcay, Dick Ameln, Ashwin Vaidya +3
cs.CVcs.LGarXiv:2202.08341v12022
Pathways: Asynchronous Distributed Dataflow for ML
Paul Barham, Aakanksha Chowdhery, Jeff Dean +13
cs.DCcs.LGarXiv:2203.12533v12022
CodeT5+: Open Code Large Language Models for Code Understanding and Generation
Yue Wang, Hung Le, Akhilesh Deepak Gotmare +3
cs.CLcs.LGcs.PLarXiv:2305.07922v22023
Structured Chain-of-Thought Prompting for Code Generation
Jia Li, Ge Li, Yongmin Li +1
cs.SEcs.CLarXiv:2305.06599v32023
Hierarchical Integration Diffusion Model for Realistic Image Deblurring
Zheng Chen, Yulun Zhang, Ding Liu +4
cs.CVarXiv:2305.12966v42023
Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition
Dima Rekesh, Nithin Rao Koluguri, Samuel Kriman +8
eess.AScs.SDarXiv:2305.05084v62023
ANYmal Parkour: Learning Agile Navigation for Quadrupedal Robots
David Hoeller, Nikita Rudin, Dhionis Sako +1
cs.ROarXiv:2306.14874v12023
Extracting Accurate Materials Data from Research Papers with Conversational Language Models and Prompt Engineering
Maciej P. Polak, Dane Morgan
cs.CLcond-mat.mtrl-sciarXiv:2303.05352v32023
SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
Antoine Guédon, Vincent Lepetit
cs.GRcs.CVarXiv:2311.12775v32023
Benchmarking LLMs via Uncertainty Quantification
Fanghua Ye, Mingming Yang, Jianhui Pang +5
cs.CLarXiv:2401.12794v32024
LDConv: Linear deformable convolution for improving convolutional neural networks
Xin Zhang, Yingze Song, Tingting Song +4
cs.CVarXiv:2311.11587v32023
SelfRecon: Self Reconstruction Your Digital Avatar from Monocular Video
Boyi Jiang, Yang Hong, Hujun Bao +1
cs.CVcs.GRarXiv:2201.12792v22022
EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought
Yao Mu, Qinglong Zhang, Mengkang Hu +7
cs.ROcs.AIcs.CVarXiv:2305.15021v22023
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding
Weijia Shi, Xiaochuang Han, Mike Lewis +3
cs.CLarXiv:2305.14739v12023
A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME
Ahmed Salih, Zahra Raisi-Estabragh, Ilaria Boscolo Galazzo +4
stat.MLcs.AIcs.LGarXiv:2305.02012v32023
AutoChip: Automating HDL Generation Using LLM Feedback
Shailja Thakur, Jason Blocklove, Hammond Pearce +3
cs.PLarXiv:2311.04887v22023
Composer: Creative and Controllable Image Synthesis with Composable Conditions
Lianghua Huang, Di Chen, Yu Liu +3
cs.CVcs.GRarXiv:2302.09778v22023
Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications
Wei Ji, Jingjing Li, Qi Bi +3
cs.CVarXiv:2304.05750v32023
Zephyr: Direct Distillation of LM Alignment
Lewis Tunstall, Edward Beeching, Nathan Lambert +11
cs.LGcs.CLarXiv:2310.16944v12023
CellPhoneDB v5: inferring cell-cell communication from single-cell multiomics data
Kevin Troulé, Robert Petryszak, Martin Prete +6
q-bio.CBq-bio.QMarXiv:2311.04567v22023
MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning
Zayne Sprague, Xi Ye, Kaj Bostrom +2
cs.CLarXiv:2310.16049v22023
TinyLlama: An Open-Source Small Language Model
Peiyuan Zhang, Guangtao Zeng, Tianduo Wang +1
cs.CLcs.AIarXiv:2401.02385v22024
C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models
Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu +10
cs.CLarXiv:2305.08322v32023
Swin Transformer for Fast MRI
Jiahao Huang, Yingying Fang, Yinzhe Wu +6
eess.IVcs.AIcs.CVarXiv:2201.03230v22022
Q-Diffusion: Quantizing Diffusion Models
Xiuyu Li, Yijiang Liu, Long Lian +5
cs.CVcs.LGarXiv:2302.04304v32023
Any-point Trajectory Modeling for Policy Learning
Chuan Wen, Xingyu Lin, John So +4
cs.ROcs.CVarXiv:2401.00025v32023
Large Language Models as Evolutionary Optimizers
Shengcai Liu, Caishun Chen, Xinghua Qu +2
cs.NEarXiv:2310.19046v32023
HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion
Ziya Erkoç, Fangchang Ma, Qi Shan +2
cs.CVcs.LGarXiv:2303.17015v12023
MIMIC-IT: Multi-Modal In-Context Instruction Tuning
Bo Li, Yuanhan Zhang, Liangyu Chen +5
cs.CVcs.AIcs.CLarXiv:2306.05425v12023
Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM Interactions
Zahra Abbasiantaeb, Yifei Yuan, Evangelos Kanoulas +1
cs.CLcs.AIcs.IRarXiv:2312.02913v12023
TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization
Fabrizio Guillaro, Davide Cozzolino, Avneesh Sud +2
cs.CVarXiv:2212.10957v32022
Zipformer: A faster and better encoder for automatic speech recognition
Zengwei Yao, Liyong Guo, Xiaoyu Yang +6
eess.AScs.LGcs.SDarXiv:2310.11230v42023
Auto-AVSR: Audio-Visual Speech Recognition with Automatic Labels
Pingchuan Ma, Alexandros Haliassos, Adriana Fernandez-Lopez +3
cs.CVcs.SDeess.ASarXiv:2303.14307v32023
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
Haiyang Xu, Qinghao Ye, Ming Yan +12
cs.CVcs.CLcs.MMarXiv:2302.00402v12023
YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles
Aduen Benjumea, Izzeddin Teeti, Fabio Cuzzolin +1
cs.CVarXiv:2112.11798v42021
BioCLIP: A Vision Foundation Model for the Tree of Life
Samuel Stevens, Jiaman Wu, Matthew J Thompson +9
cs.CVcs.CLcs.LGarXiv:2311.18803v32023

Every paper with a summary

Transformative Effects of ChatGPT on Modern Education: Emerging Era of AI Chatbots

Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking

BridgeData V2: A Dataset for Robot Learning at Scale

ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding

Train Offline, Test Online: A Real Robot Learning Benchmark

Chain-of-Verification Reduces Hallucination in Large Language Models

Improving Text Embeddings with Large Language Models

LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

A high-resolution canopy height model of the Earth

Capabilities of GPT-4 on Medical Challenge Problems

Hierarchical Text-Conditional Image Generation with CLIP Latents

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation

Testing a Neural Network for Anomaly Detection in the CMS Global Trigger Test Crate during Run 3

Comparing YOLOv8 and Mask R-CNN for instance segmentation in complex orchard environments

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

ADD 2023: the Second Audio Deepfake Detection Challenge

BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing

Compact 3D Scene Representation via Self-Organizing Gaussian Grids

A Review on Internet of Things for Defense and Public Safety

Semantic-SAM: Segment and Recognize Anything at Any Granularity

Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Can Language Models Solve Graph Problems in Natural Language?

Anomalib: A Deep Learning Library for Anomaly Detection

Pathways: Asynchronous Distributed Dataflow for ML

CodeT5+: Open Code Large Language Models for Code Understanding and Generation

Structured Chain-of-Thought Prompting for Code Generation

Hierarchical Integration Diffusion Model for Realistic Image Deblurring

Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition

ANYmal Parkour: Learning Agile Navigation for Quadrupedal Robots

Extracting Accurate Materials Data from Research Papers with Conversational Language Models and Prompt Engineering

SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering

Benchmarking LLMs via Uncertainty Quantification

LDConv: Linear deformable convolution for improving convolutional neural networks

SelfRecon: Self Reconstruction Your Digital Avatar from Monocular Video

EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought

Trusting Your Evidence: Hallucinate Less with Context-aware Decoding

A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME

AutoChip: Automating HDL Generation Using LLM Feedback

Composer: Creative and Controllable Image Synthesis with Composable Conditions

Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications

Zephyr: Direct Distillation of LM Alignment

CellPhoneDB v5: inferring cell-cell communication from single-cell multiomics data

MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning

TinyLlama: An Open-Source Small Language Model

C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models

Swin Transformer for Fast MRI

Q-Diffusion: Quantizing Diffusion Models

Any-point Trajectory Modeling for Policy Learning

Large Language Models as Evolutionary Optimizers

HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion

MIMIC-IT: Multi-Modal In-Context Instruction Tuning

Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM Interactions

TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization

Zipformer: A faster and better encoder for automatic speech recognition

Auto-AVSR: Audio-Visual Speech Recognition with Automatic Labels

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video

YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles

BioCLIP: A Vision Foundation Model for the Tree of Life