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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15,541 to 15,600 of 61,244

RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs
Shreyas Chaudhari, Pranjal Aggarwal, Vishvak Murahari +5
cs.LGcs.AIcs.CLarXiv:2404.08555v22024
Myths around quantum computation before full fault tolerance: What no-go theorems rule out and what they don't
Zoltán Zimborás, Bálint Koczor, Zoë Holmes +19
quant-pharXiv:2501.05694v12025
Scal3R: Scalable Test-Time Training for Large-Scale 3D Reconstruction
Tao Xie, Peishan Yang, Yudong Jin +8
cs.CVarXiv:2604.08542v12026
Computational Depth Measurement in Thermographic Video: Overcoming Spatial Overfitting via Spatio-Temporal Decoupling
Zain Ul Abidin, Habeeban Memon, Junaid Ahmed
cs.AIcs.CVarXiv:2608.29223v12026
Joint Sparse Recovery Method for Compressed Sensing with Structured Dictionary Mismatches
Zhao Tan, Peng Yang, Arye Nehorai
cs.ITarXiv:1309.0858v32013
Evaluating Step-by-step Reasoning Traces: A Survey
Jinu Lee, Julia Hockenmaier
cs.CLarXiv:2502.12289v32025
A Cognitive Architecture for Shared Autonomy in AUV Operations
Niamh Ellis, Thi Tran, Ignacio Carlucho +1
cs.ROarXiv:2608.29347v12026
Deep Learning and Its Applications to Machine Health Monitoring: A Survey
Rui Zhao, Ruqiang Yan, Zhenghua Chen +3
cs.LGstat.MLarXiv:1612.07640v12016
AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents
Jiabin Tang, Tianyu Fan, Chao Huang
cs.AIcs.CLarXiv:2502.05957v32025
GSPotential: Camera Potential Field for Sparse-View 3D Gaussian Splatting
Zeyuan An, Yanghang Xiao, Zhiying Leng +2
cs.CVarXiv:2608.29346v12026
Recent Advances in Zero-shot Recognition
Yanwei Fu, Tao Xiang, Yu-Gang Jiang +3
cs.CVcs.AIcs.LGarXiv:1710.04837v12017
Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis
Yuan Gao, Mattia Piccinini, Yuchen Zhang +12
cs.ROcs.AIarXiv:2506.11526v42025
A Time-driven Data Placement Strategy for a Scientific Workflow Combining Edge Computing and Cloud Computing
Bing Lin, Fangning Zhu, Jianshan Zhang +4
cs.DCarXiv:1901.07216v22019
Generalization over Memorization: Generalization-Aware Diffusion Adaptation for Single-Image Multi-View Synthesis
Jie Li, Xingchen Zou, Yuxuan Liang
cs.CVarXiv:2608.29233v12026
A Comparative Survey of Recent Natural Language Interfaces for Databases
Katrin Affolter, Kurt Stockinger, Abraham Bernstein
cs.DBcs.CLcs.LGarXiv:1906.08990v12019
Optimization for deep learning: theory and algorithms
Ruoyu Sun
cs.LGmath.OCstat.MLarXiv:1912.08957v12019
OTTER: A Vision-Language-Action Model with Text-Aware Visual Feature Extraction
Huang Huang, Fangchen Liu, Letian Fu +5
cs.ROcs.CVarXiv:2503.03734v42025
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research
Bernard Koch, Emily Denton, Alex Hanna +1
cs.LGcs.CLcs.CVarXiv:2112.01716v12021
Self-Alignment with Instruction Backtranslation
Xian Li, Ping Yu, Chunting Zhou +5
cs.CLarXiv:2308.06259v32023
Parallel Bayesian Global Optimization of Expensive Functions
Jialei Wang, Scott C. Clark, Eric Liu +1
stat.MLmath.OCarXiv:1602.05149v42016
SkillGen: Verified Inference-Time Agent Skill Synthesis
Yuchen Ma, Yue Huang, Han Bao +5
cs.LGcs.AIcs.MAarXiv:2605.10999v12026
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks
Connor Schenck, Dieter Fox
cs.ROarXiv:1806.06094v22018
$τ^τ$-Bench: An Environment for End-To-End, Realistic Agent Construction
Quan Shi, Keshav Dhandhania, Karthik Narasimhan +1
cs.AIarXiv:2609.04611v12026
A Survey of Learning Causality with Data: Problems and Methods
Ruocheng Guo, Lu Cheng, Jundong Li +2
cs.AIstat.MEarXiv:1809.09337v42018
SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning
Borong Zhang, Yuhao Zhang, Jiaming Ji +5
cs.ROcs.AIarXiv:2503.03480v42025
Deep Visual Domain Adaptation
Gabriela Csurka
cs.CVarXiv:2012.14176v12020
Plan Explicability and Predictability for Robot Task Planning
Yu Zhang, Sarath Sreedharan, Anagha Kulkarni +3
cs.AIcs.ROarXiv:1511.08158v22015
A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs
Umesh Bodhwani, Yuan Ling, Shujing Dong +3
cs.CLarXiv:2609.04539v12026
Failure-informed adaptive sampling for PINNs
Zhiwei Gao, Liang Yan, Tao Zhou
math.NAstat.MLarXiv:2210.00279v32022
Communications, Caching and Computing for Mobile Virtual Reality: Modeling and Tradeoff
Yaping Sun, Zhiyong Chen, Meixia Tao +1
cs.ITarXiv:1806.08928v12018
Deception Abilities Emerged in Large Language Models
Thilo Hagendorff
cs.CLcs.AIcs.LGarXiv:2307.16513v22023
Construction of trace-preserving Fortin operators
Franziska Eickmann, Tabea Tscherpel
math.NAarXiv:2609.04926v12026
Accelerating LLM Inference with Staged Speculative Decoding
Benjamin Spector, Chris Re
cs.AIcs.CLarXiv:2308.04623v12023
Mind the Value-Action Gap: Do LLMs Act in Alignment with Their Values?
Hua Shen, Nicholas Clark, Tanushree Mitra
cs.HCcs.AIcs.CLarXiv:2501.15463v42025
DataSciBench: An LLM Agent Benchmark for Data Science
Dan Zhang, Sining Zhoubian, Min Cai +7
cs.CLcs.AIcs.LGarXiv:2502.13897v12025
Indicators of the Interdisciplinarity of Journals: Diversity, Centrality, and Citations
Loet Leydesdorff, Ismael Rafols
cs.DLphysics.soc-pharXiv:1003.3613v22010
Deep Learning on FPGAs: Past, Present, and Future
Griffin Lacey, Graham W. Taylor, Shawki Areibi
cs.DCcs.LGstat.MLarXiv:1602.04283v12016
SkillCraft: Can LLM Agents Learn to Use Tools Skillfully?
Shiqi Chen, Jingze Gai, Ruochen Zhou +13
cs.CLcs.SEarXiv:2603.00718v22026
A Quantum Convolutional Neural Network on NISQ Devices
ShiJie Wei, YanHu Chen, ZengRong Zhou +1
quant-pharXiv:2104.06918v32021
INTENT: Invariance and Discrimination-aware Noise Mitigation for Robust Composed Image Retrieval
Zhiwei Chen, Yupeng Hu, Zhiheng Fu +4
cs.CVarXiv:2604.18051v12026
Tiny Machine Learning: Progress and Futures
Ji Lin, Ligeng Zhu, Wei-Ming Chen +2
cs.LGcs.AIcs.CVarXiv:2403.19076v22024
Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline
Xvyuan Liu, Xiangfei Qiu, Xingjian Wu +4
cs.LGarXiv:2505.11250v42025
Subspace Methods for Data Attack on State Estimation: A Data Driven Approach
Jinsub Kim, Lang Tong, Robert J. Thomas
cs.CRarXiv:1406.0866v12014
Enhancing Multimodal Emotion Recognition via Multi-Feature Encoding and Attention-Based Fusion
Xu Lin, Ke Wang, Hui Kang +1
cs.CVcs.AIcs.LGarXiv:2609.04690v12026
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging
Rui Yan, Liangqiong Qu, Qingyue Wei +5
cs.CVcs.LGarXiv:2205.08576v22022
Fast and Effective On-policy Distillation from Reasoning Prefixes
Dongxu Zhang, Zhichao Yang, Sepehr Janghorbani +6
cs.LGcs.AIarXiv:2602.15260v12026
PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest
Aditya Pal, Chantat Eksombatchai, Yitong Zhou +3
cs.LGcs.IRcs.SIarXiv:2007.03634v12020
UNIC: Unified In-Context Video Editing
Zixuan Ye, Xuanhua He, Quande Liu +7
cs.CVarXiv:2506.04216v12025
HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning
Shiming Chen, Guo-Sen Xie, Yang Liu +5
cs.CVcs.LGarXiv:2109.15163v22021
Collaborative Diffusion for Multi-Modal Face Generation and Editing
Ziqi Huang, Kelvin C. K. Chan, Yuming Jiang +1
cs.CVarXiv:2304.10530v12023
Anatomy of a Stablecoin's failure: the Terra-Luna case
Antonio Briola, David Vidal-Tomás, Yuanrong Wang +1
q-fin.GNcs.SIq-fin.STarXiv:2207.13914v32022
Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing
Xinghe Fu, Zhiyuan Yan, Taiping Yao +2
cs.CVarXiv:2501.04376v12025
Geometric Ceilings on Time-Frequency Masking for Single-Channel Separation
Maxime Baelde
eess.SPcs.SDeess.ASarXiv:2609.03481v12026
When Are Teacher Tokens Reliable? Position-Weighted On-Policy Self-Distillation for Reasoning
Xiaogeng Liu, Xinyan Wang, Yingzi Ma +2
cs.LGcs.AIarXiv:2605.21606v12026
Probing the Kitaev honeycomb model on a neutral-atom quantum computer
Simon J. Evered, Marcin Kalinowski, Alexandra A. Geim +15
quant-phcond-mat.quant-gasphysics.atom-pharXiv:2501.18554v22025
Quantum-Assisted Memory-Efficient Training for Parameter-Intensive Wi-Fi-Based Human Activity Recognition
To Truong An, Jie Zhang, Guolin Yin +4
cs.LGarXiv:2609.04271v12026
Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems
Xupeng Miao, Gabriele Oliaro, Zhihao Zhang +4
cs.LGcs.AIcs.DCarXiv:2312.15234v22023
Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation
Abhiram Maddukuri, Zhenyu Jiang, Lawrence Yunliang Chen +12
cs.ROcs.AIcs.LGarXiv:2503.24361v22025
Compressed Sensing of Analog Signals in Shift-Invariant Spaces
Yonina C. Eldar
cs.ITarXiv:0806.3332v22008
MemMark: State-Evolution Attribution Watermarking for Agent Long-Term Memory Systems
Haobo Zhang, Xutao Mao, Guangyuan Dong +5
cs.CRarXiv:2605.25002v42026

Every paper with a summary

RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs

Myths around quantum computation before full fault tolerance: What no-go theorems rule out and what they don't

Scal3R: Scalable Test-Time Training for Large-Scale 3D Reconstruction

Computational Depth Measurement in Thermographic Video: Overcoming Spatial Overfitting via Spatio-Temporal Decoupling

Joint Sparse Recovery Method for Compressed Sensing with Structured Dictionary Mismatches

Evaluating Step-by-step Reasoning Traces: A Survey

A Cognitive Architecture for Shared Autonomy in AUV Operations

Deep Learning and Its Applications to Machine Health Monitoring: A Survey

AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents

GSPotential: Camera Potential Field for Sparse-View 3D Gaussian Splatting

Recent Advances in Zero-shot Recognition

Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis

A Time-driven Data Placement Strategy for a Scientific Workflow Combining Edge Computing and Cloud Computing

Generalization over Memorization: Generalization-Aware Diffusion Adaptation for Single-Image Multi-View Synthesis

A Comparative Survey of Recent Natural Language Interfaces for Databases

Optimization for deep learning: theory and algorithms

OTTER: A Vision-Language-Action Model with Text-Aware Visual Feature Extraction

Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research

Self-Alignment with Instruction Backtranslation

Parallel Bayesian Global Optimization of Expensive Functions

SkillGen: Verified Inference-Time Agent Skill Synthesis

SPNets: Differentiable Fluid Dynamics for Deep Neural Networks

$τ^τ$-Bench: An Environment for End-To-End, Realistic Agent Construction

A Survey of Learning Causality with Data: Problems and Methods

SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning

Deep Visual Domain Adaptation

Plan Explicability and Predictability for Robot Task Planning

A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs

Failure-informed adaptive sampling for PINNs

Communications, Caching and Computing for Mobile Virtual Reality: Modeling and Tradeoff

Deception Abilities Emerged in Large Language Models

Construction of trace-preserving Fortin operators

Accelerating LLM Inference with Staged Speculative Decoding

Mind the Value-Action Gap: Do LLMs Act in Alignment with Their Values?

DataSciBench: An LLM Agent Benchmark for Data Science

Indicators of the Interdisciplinarity of Journals: Diversity, Centrality, and Citations

Deep Learning on FPGAs: Past, Present, and Future

SkillCraft: Can LLM Agents Learn to Use Tools Skillfully?

A Quantum Convolutional Neural Network on NISQ Devices

INTENT: Invariance and Discrimination-aware Noise Mitigation for Robust Composed Image Retrieval

Tiny Machine Learning: Progress and Futures

Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline

Subspace Methods for Data Attack on State Estimation: A Data Driven Approach

Enhancing Multimodal Emotion Recognition via Multi-Feature Encoding and Attention-Based Fusion

Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging

Fast and Effective On-policy Distillation from Reasoning Prefixes

PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest

UNIC: Unified In-Context Video Editing

HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning

Collaborative Diffusion for Multi-Modal Face Generation and Editing

Anatomy of a Stablecoin's failure: the Terra-Luna case

Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing

Geometric Ceilings on Time-Frequency Masking for Single-Channel Separation

When Are Teacher Tokens Reliable? Position-Weighted On-Policy Self-Distillation for Reasoning

Probing the Kitaev honeycomb model on a neutral-atom quantum computer

Quantum-Assisted Memory-Efficient Training for Parameter-Intensive Wi-Fi-Based Human Activity Recognition

Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Compressed Sensing of Analog Signals in Shift-Invariant Spaces

MemMark: State-Evolution Attribution Watermarking for Agent Long-Term Memory Systems