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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56,761 to 56,820 of 61,428

Confidence and Calibration of Activation Oracles for Reliable Interpretation of Language Model Internals
Federico Torrielli, Peter Schneider-Kamp, Lukas Galke Poech
cs.CLcs.AIarXiv:2605.26045v22026
Claw-Anything: Benchmarking Always-On Personal Assistants with Broader Access to User's Digital World
Yusong Lin, Xinyuan Liang, Haiyang Wang +8
cs.AIarXiv:2605.26086v12026
Geometry-Aware Representation Denoising for Robust Multi-view 3D Reconstruction
Jin Hyeon Kim, Jaeeun Lee, Claire Kim +8
cs.CVarXiv:2605.26230v12026
Argoverse: 3D Tracking and Forecasting with Rich Maps
Ming-Fang Chang, John Lambert, Patsorn Sangkloy +8
cs.CVcs.ROarXiv:1911.02620v12019
How Accurate are Video Quality Models for Diffusion-Based Video Super-Resolution?
Benjamin Herb, Steve Göring, Alexander Raake +1
eess.IVcs.CVarXiv:2605.25940v12026
Mantid - Data Analysis and Visualization Package for Neutron Scattering and $μSR$ Experiments
O. Arnold, J. C. Bilheux, J. M. Borreguero +25
physics.data-ancond-mat.otherarXiv:1407.5860v12014
RT-Lynx: Putting GEMM Sparsity in the Right Place for Diffusion Models
Xing Cong, Hanlin Tang, Kan Liu +3
cs.LGarXiv:2605.26632v32026
Rethinking the Value of Network Pruning
Zhuang Liu, Mingjie Sun, Tinghui Zhou +2
cs.LGcs.CVstat.MLarXiv:1810.05270v22018
How Can We Know What Language Models Know?
Zhengbao Jiang, Frank F. Xu, Jun Araki +1
cs.CLcs.LGarXiv:1911.12543v22019
Octo: An Open-Source Generalist Robot Policy
Octo Model Team, Dibya Ghosh, Homer Walke +16
cs.ROcs.LGarXiv:2405.12213v22024
dynesty: A Dynamic Nested Sampling Package for Estimating Bayesian Posteriors and Evidences
Joshua S Speagle
astro-ph.IMstat.COarXiv:1904.02180v12019
MRT: Masked Region Transformer for Layered Image Generation and Editing at Scale
Zhicong Tang, Zhao Zhang, Jingye Chen +6
cs.CVarXiv:2605.27235v12026
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
Yongliang Shen, Kaitao Song, Xu Tan +3
cs.CLcs.AIcs.CVarXiv:2303.17580v42023
Contrastive Multiview Coding
Yonglong Tian, Dilip Krishnan, Phillip Isola
cs.CVcs.LGarXiv:1906.05849v52019
Beyond Final Answers: Auditing Trajectory-Level Hallucinations in Multi-Agent Industrial Workflows
Harshada Badave, Santosh Borse, Andrea Gomez +6
cs.AIarXiv:2605.24219v22026
PRISM: Position-encoded Regressive Inverse Spectral Model for Multilayer Thin-Film Design
Runtian Wang, Renhao Xue, Baige Chen +1
cs.LGphysics.opticsarXiv:2605.26502v22026
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
Ji Lin, Jiaming Tang, Haotian Tang +7
cs.CLarXiv:2306.00978v62023
Deep Convolutional Networks on Graph-Structured Data
Mikael Henaff, Joan Bruna, Yann LeCun
cs.LGcs.CVcs.NEarXiv:1506.05163v12015
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Ian J. Goodfellow, Mehdi Mirza, Da Xiao +2
stat.MLcs.LGcs.NEarXiv:1312.6211v32013
Cascaded Pyramid Network for Multi-Person Pose Estimation
Yilun Chen, Zhicheng Wang, Yuxiang Peng +3
cs.CVarXiv:1711.07319v22017
Which Training Methods for GANs do actually Converge?
Lars Mescheder, Andreas Geiger, Sebastian Nowozin
cs.LGcs.AIcs.GTarXiv:1801.04406v42018
Chartographer: Counterfactual Chart Generation for Evaluating Vision-Language Models
Yifan Jiang, Dae Yon Hwang, Jesse C. Cresswell +1
cs.CLcs.CVarXiv:2605.27311v12026
GradSentry: Gradient Spectral Entropy for Backdoor Sample Filtering in Large Language Model Fine-Tuning
Haodong Zhao, Tianyi Xu, Tianhang Zhao +2
cs.CRarXiv:2605.26574v12026
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Yu Rong, Wenbing Huang, Tingyang Xu +1
cs.LGcs.NIstat.MLarXiv:1907.10903v42019
Photonics for artificial intelligence and neuromorphic computing
Bhavin J. Shastri, Alexander N. Tait, Thomas Ferreira de Lima +4
physics.opticscs.NEphysics.app-pharXiv:2011.00111v22020
Joint Autoregressive and Hierarchical Priors for Learned Image Compression
David Minnen, Johannes Ballé, George Toderici
cs.CVarXiv:1809.02736v12018
COMET: A Neural Framework for MT Evaluation
Ricardo Rei, Craig Stewart, Ana C Farinha +1
cs.CLarXiv:2009.09025v22020
Got a Secret? LLM Agents Can't Keep It: Evaluating Privacy in Multi-Agent Systems
Aman Priyanshu, Supriti Vijay, Esha Pahwa
cs.AIarXiv:2605.27766v12026
Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders
Yi Jing, Zao Dai, Jinwu Hu +4
cs.LGcs.AIcs.CLarXiv:2605.27354v12026
Cross-scale Aligned Supervision for Training GANs
Sangeek Hyun, MinKyu Lee, Jae-Pil Heo
cs.CVcs.AIarXiv:2605.26449v12026
Less is More: Early Stopping Rollout for On-Policy Distillation
Zhou Ziheng, Jiaqi Li, Huacong Tang +2
cs.LGcs.AIarXiv:2605.27028v12026
Variational Dropout and the Local Reparameterization Trick
Diederik P. Kingma, Tim Salimans, Max Welling
stat.MLcs.LGstat.COarXiv:1506.02557v22015
Triplet-Block Diffusion RWKV
Ke Lin, Yiyang Luo, Zhaolong Su +2
cs.CLarXiv:2605.25969v12026
Not only where, But when: Temporal Scheduling for RLVR
Jinghao Zhang, Ruilin Li, Feng Zhao +1
cs.LGarXiv:2605.25381v12026
RACE: Large-scale ReAding Comprehension Dataset From Examinations
Guokun Lai, Qizhe Xie, Hanxiao Liu +2
cs.CLcs.AIcs.LGarXiv:1704.04683v52017
Cell Detection with Star-convex Polygons
Uwe Schmidt, Martin Weigert, Coleman Broaddus +1
cs.CVarXiv:1806.03535v22018
Recursive Flow Matching
Jiahe Huang, Sihan Xu, Sharvaree Vadgama +1
cs.LGcs.AIcs.CVarXiv:2605.26535v12026
Neural Network Acceptability Judgments
Alex Warstadt, Amanpreet Singh, Samuel R. Bowman
cs.CLarXiv:1805.12471v32018
Text Summarization with Pretrained Encoders
Yang Liu, Mirella Lapata
cs.CLcs.LGarXiv:1908.08345v22019
Unified Language Model Pre-training for Natural Language Understanding and Generation
Li Dong, Nan Yang, Wenhui Wang +6
cs.CLarXiv:1905.03197v32019
SpatialBench: Is Your Spatial Foundation Model an All-Round Player?
Haosong Peng, Hao Li, Jiaqi Chen +10
cs.CVarXiv:2605.27367v22026
MobileMoE: Scaling On-Device Mixture of Experts
Yanbei Chen, Hanxian Huang, Ernie Chang +5
cs.LGcs.AIcs.CLarXiv:2605.27358v12026
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown
cs.LGcs.CVstat.MLarXiv:1909.06335v12019
Robot Operating System 2: Design, Architecture, and Uses In The Wild
Steve Macenski, Tully Foote, Brian Gerkey +2
cs.ROarXiv:2211.07752v12022
EAST: An Efficient and Accurate Scene Text Detector
Xinyu Zhou, Cong Yao, He Wen +4
cs.CVarXiv:1704.03155v22017
Balancing Fidelity and Diversity in Diffusion Models via Symmetric Attention Decomposition: Hopfield Perspective
Hyunmin Cho, Woo Kyoung Han, Kyong Hwan Jin
cs.LGcs.AIarXiv:2605.27476v12026
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Zhijian Liu, Haotian Tang, Alexander Amini +4
cs.CVarXiv:2205.13542v32022
JLT: Clean-Latent Prediction in Latent Diffusion Transformers
Funing Fu, Tenghui Wang, Guanyu Zhou +2
cs.CVcs.LGarXiv:2605.27102v22026
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Lee Xiong, Chenyan Xiong, Ye Li +5
cs.IRcs.CLcs.LGarXiv:2007.00808v22020
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
Joshua Ainslie, James Lee-Thorp, Michiel de Jong +3
cs.CLcs.LGarXiv:2305.13245v32023
BatteryMFormer: Multi-level Learning for Battery Degradation Trajectory Forecasting
Ruifeng Tan, Jintao Dong, Weixiang Hong +3
cs.AIarXiv:2605.27044v22026
Contrastive Learning for Unpaired Image-to-Image Translation
Taesung Park, Alexei A. Efros, Richard Zhang +1
cs.CVcs.LGarXiv:2007.15651v32020
A SIDARTHE Model of COVID-19 Epidemic in Italy
Giulia Giordano, Franco Blanchini, Raffaele Bruno +5
q-bio.PEeess.SYmath.DSarXiv:2003.09861v12020
CoAtNet: Marrying Convolution and Attention for All Data Sizes
Zihang Dai, Hanxiao Liu, Quoc V. Le +1
cs.CVcs.LGarXiv:2106.04803v22021
AgensFlow: A Coordination-Policy Substrate for Multi-Agent Systems
Nicole Koenigstein
cs.MAcs.AIcs.LGarXiv:2605.27466v12026
How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)
Adrian Bulat, Georgios Tzimiropoulos
cs.CVcs.LGarXiv:1703.07332v32017
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels
Lu Jiang, Zhengyuan Zhou, Thomas Leung +2
cs.CVarXiv:1712.05055v22017
Cascaded Diffusion Models for High Fidelity Image Generation
Jonathan Ho, Chitwan Saharia, William Chan +3
cs.CVcs.AIcs.LGarXiv:2106.15282v32021
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre +8
cs.LGcs.CLcs.CVarXiv:2203.05482v32022
The Roadmap to 6G -- AI Empowered Wireless Networks
Khaled B. Letaief, Wei Chen, Yuanming Shi +2
cs.NIcs.LGarXiv:1904.11686v22019

Every paper with a summary

Confidence and Calibration of Activation Oracles for Reliable Interpretation of Language Model Internals

Claw-Anything: Benchmarking Always-On Personal Assistants with Broader Access to User's Digital World

Geometry-Aware Representation Denoising for Robust Multi-view 3D Reconstruction

Argoverse: 3D Tracking and Forecasting with Rich Maps

How Accurate are Video Quality Models for Diffusion-Based Video Super-Resolution?

Mantid - Data Analysis and Visualization Package for Neutron Scattering and $μSR$ Experiments

RT-Lynx: Putting GEMM Sparsity in the Right Place for Diffusion Models

Rethinking the Value of Network Pruning

How Can We Know What Language Models Know?

Octo: An Open-Source Generalist Robot Policy

dynesty: A Dynamic Nested Sampling Package for Estimating Bayesian Posteriors and Evidences

MRT: Masked Region Transformer for Layered Image Generation and Editing at Scale

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

Contrastive Multiview Coding

Beyond Final Answers: Auditing Trajectory-Level Hallucinations in Multi-Agent Industrial Workflows

PRISM: Position-encoded Regressive Inverse Spectral Model for Multilayer Thin-Film Design

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Deep Convolutional Networks on Graph-Structured Data

An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Cascaded Pyramid Network for Multi-Person Pose Estimation

Which Training Methods for GANs do actually Converge?

Chartographer: Counterfactual Chart Generation for Evaluating Vision-Language Models

GradSentry: Gradient Spectral Entropy for Backdoor Sample Filtering in Large Language Model Fine-Tuning

DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Photonics for artificial intelligence and neuromorphic computing

Joint Autoregressive and Hierarchical Priors for Learned Image Compression

COMET: A Neural Framework for MT Evaluation

Got a Secret? LLM Agents Can't Keep It: Evaluating Privacy in Multi-Agent Systems

Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders

Cross-scale Aligned Supervision for Training GANs

Less is More: Early Stopping Rollout for On-Policy Distillation

Variational Dropout and the Local Reparameterization Trick

Triplet-Block Diffusion RWKV

Not only where, But when: Temporal Scheduling for RLVR

RACE: Large-scale ReAding Comprehension Dataset From Examinations

Cell Detection with Star-convex Polygons

Recursive Flow Matching

Neural Network Acceptability Judgments

Text Summarization with Pretrained Encoders

Unified Language Model Pre-training for Natural Language Understanding and Generation

SpatialBench: Is Your Spatial Foundation Model an All-Round Player?

MobileMoE: Scaling On-Device Mixture of Experts

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Robot Operating System 2: Design, Architecture, and Uses In The Wild

EAST: An Efficient and Accurate Scene Text Detector

Balancing Fidelity and Diversity in Diffusion Models via Symmetric Attention Decomposition: Hopfield Perspective

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

JLT: Clean-Latent Prediction in Latent Diffusion Transformers

Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval

GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

BatteryMFormer: Multi-level Learning for Battery Degradation Trajectory Forecasting

Contrastive Learning for Unpaired Image-to-Image Translation

A SIDARTHE Model of COVID-19 Epidemic in Italy

CoAtNet: Marrying Convolution and Attention for All Data Sizes

AgensFlow: A Coordination-Policy Substrate for Multi-Agent Systems

How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)

MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels

Cascaded Diffusion Models for High Fidelity Image Generation

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

The Roadmap to 6G -- AI Empowered Wireless Networks