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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24,361 to 24,420 of 61,189

ProtegoFed: Backdoor-Free Federated Instruction Tuning with Interspersed Poisoned Data
Haodong Zhao, Jinming Hu, Zhaomin Wu +7
cs.CRarXiv:2603.00516v12026
The Curse and Blessing of Mean Bias in FP4-Quantized LLM Training
Hengjie Cao, Zhendong Huang, Mengyi Chen +15
cs.LGcs.AIarXiv:2603.10444v22026
Spectral Condition for $μ$P under Width-Depth Scaling
Chenyu Zheng, Rongzhen Wang, Xinyu Zhang +1
cs.LGstat.MLarXiv:2603.00541v22026
TDM-R1: Reinforcing Few-Step Diffusion Models with Non-Differentiable Reward
Yihong Luo, Tianyang Hu, Weijian Luo +1
cs.CVcs.AIarXiv:2603.07700v12026
Accelerating Diffusion via Hybrid Data-Pipeline Parallelism Based on Conditional Guidance Scheduling
Euisoo Jung, Byunghyun Kim, Hyunjin Kim +2
cs.CVarXiv:2602.21760v12026
Flow Map Language Models: One-step Language Modeling via Continuous Denoising
Chanhyuk Lee, Jaehoon Yoo, Manan Agarwal +6
cs.CLcs.AIarXiv:2602.16813v32026
Prescriptive Scaling Reveals the Evolution of Language Model Capabilities
Hanlin Zhang, Jikai Jin, Vasilis Syrgkanis +1
cs.LGcs.AIcs.CLarXiv:2602.15327v22026
Summaries:한국어
Agents of Chaos
Natalie Shapira, Chris Wendler, Avery Yen +35
cs.AIcs.CYarXiv:2602.20021v12026
Learning from Trials and Errors: Reflective Test-Time Planning for Embodied LLMs
Yining Hong, Huang Huang, Manling Li +4
cs.LGcs.AIcs.CLarXiv:2602.21198v32026
Spilled Energy in Large Language Models
Adrian Robert Minut, Hazem Dewidar, Iacopo Masi
cs.AIcs.CLarXiv:2602.18671v42026
ECO: Energy-Constrained Optimization with Reinforcement Learning for Humanoid Walking
Weidong Huang, Jingwen Zhang, Jiongye Li +6
cs.ROarXiv:2602.06445v12026
FLAC: Maximum Entropy RL via Kinetic Energy Regularized Bridge Matching
Lei Lv, Yunfei Li, Yu Luo +2
cs.LGcs.AIarXiv:2602.12829v12026
Qute: Towards Quantum-Native Database
Muzhi Chen, Xuanhe Zhou, Wei Zhou +7
cs.DBcs.AIcs.ARarXiv:2602.14699v12026
TADA! Tuning Audio Diffusion Models through Activation Steering
Łukasz Staniszewski, Katarzyna Zaleska, Mateusz Modrzejewski +1
cs.SDcs.LGarXiv:2602.11910v22026
Vision Transformer Finetuning Benefits from Non-Smooth Components
Ambroise Odonnat, Laetitia Chapel, Romain Tavenard +1
cs.LGcs.CVstat.MLarXiv:2602.06883v32026
Rolling Sink: Bridging Limited-Horizon Training and Open-Ended Testing in Autoregressive Video Diffusion
Haodong Li, Shaoteng Liu, Zhe Lin +1
cs.CVarXiv:2602.07775v62026
Dr. MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems
Lang Feng, Longtao Zheng, Shuo He +2
cs.LGcs.AIarXiv:2602.08847v12026
Approximation of Log-Partition Function in Policy Mirror Descent Induces Implicit Regularization for LLM Post-Training
Zhenghao Xu, Qin Lu, Changlong Yu +1
cs.LGarXiv:2602.05933v12026
Learning Rate Matters: Vanilla LoRA May Suffice for LLM Fine-tuning
Yu-Ang Lee, Ching-Yun Ko, Pin-Yu Chen +1
cs.LGcs.AIcs.CLarXiv:2602.04998v22026
Demystifying the Slash Pattern in Attention: The Role of RoPE
Yuan Cheng, Fengzhuo Zhang, Yunlong Hou +5
cs.LGcs.AIcs.CLarXiv:2601.08297v22026
Neural Predictor-Corrector: Solving Homotopy Problems with Reinforcement Learning
Jiayao Mai, Bangyan Liao, Zhenjun Zhao +6
cs.LGcs.CVarXiv:2602.03086v12026
On the Relationship Between Representation Geometry and Generalization in Deep Neural Networks
Sumit Yadav
cs.LGarXiv:2602.00130v22026
Grounding and Enhancing Informativeness and Utility in Dataset Distillation
Shaobo Wang, Yantai Yang, Guo Chen +5
cs.LGcs.AIarXiv:2601.21296v12026
UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities
Woongyeong Yeo, Kangsan Kim, Soyeong Jeong +2
cs.CLcs.AIcs.CVarXiv:2504.20734v52025
Summaries:한국어
HalluGuard: Demystifying Data-Driven and Reasoning-Driven Hallucinations in LLMs
Xinyue Zeng, Junhong Lin, Yujun Yan +4
cs.LGcs.AIarXiv:2601.18753v22026
FP8-RL: A Practical and Stable Low-Precision Stack for LLM Reinforcement Learning
Zhaopeng Qiu, Shuang Yu, Jingqi Zhang +4
cs.LGcs.CLarXiv:2601.18150v22026
Agentic Confidence Calibration
Jiaxin Zhang, Caiming Xiong, Chien-Sheng Wu
cs.AIcs.CLarXiv:2601.15778v12026
The European Union general data protection regulation: what it is and what it means
Chris Jay Hoofnagle, Bart van der Sloot, Frederik Zuiderveen Borgesius
cs.CYarXiv:2510.02861v12025
Designing and Evaluating AI Margin Notes in Document Reader Software
Nikhita Joshi, Daniel Vogel
cs.HCarXiv:2509.09840v32025
Summaries:한국어
For-Value: Efficient Forward-Only Data Valuation for finetuning LLMs and VLMs
Wenlong Deng, Qi Zeng, Jiaming Zhang +5
cs.CLarXiv:2508.10180v32025
Empirical wavelet transform
Jerome Gilles
math.FAeess.SParXiv:2410.23534v12024
Diffusion Policy Policy Optimization
Allen Z. Ren, Justin Lidard, Lars L. Ankile +6
cs.ROcs.LGarXiv:2409.00588v32024
Multicriteria Optimization and Decision Making: Principles, Algorithms and Case Studies
Michael Emmerich, André Deutz
math.OCmath.NAarXiv:2407.00359v62024
LamRA: Large Multimodal Model as Your Advanced Retrieval Assistant
Yikun Liu, Pingan Chen, Jiayin Cai +5
cs.CVarXiv:2412.01720v12024
Summaries:한국어
YOLO advances to its genesis: a decadal and comprehensive review of the You Only Look Once (YOLO) series
Ranjan Sapkota, Marco Flores Calero, Rizwan Qureshi +9
cs.CVarXiv:2406.19407v82024
Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL
Zijin Hong, Zheng Yuan, Qinggang Zhang +4
cs.CLcs.AIcs.DBarXiv:2406.08426v82024
Trust in AI: Progress, Challenges, and Future Directions
Saleh Afroogh, Ali Akbari, Evan Malone +2
cs.CYcs.AIarXiv:2403.14680v32024
Summaries:한국어
Diffusion for World Modeling: Visual Details Matter in Atari
Eloi Alonso, Adam Jelley, Vincent Micheli +4
cs.LGcs.AIcs.CVarXiv:2405.12399v22024
BLINK: Multimodal Large Language Models Can See but Not Perceive
Xingyu Fu, Yushi Hu, Bangzheng Li +7
cs.CVcs.AIcs.CLarXiv:2404.12390v42024
BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion
Xuan Ju, Xian Liu, Xintao Wang +3
cs.CVarXiv:2403.06976v12024
The Faiss library
Matthijs Douze, Alexandr Guzhva, Chengqi Deng +6
cs.LGcs.CVcs.SEarXiv:2401.08281v42024
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron, Louis Martin, Kevin Stone +65
cs.CLcs.AIarXiv:2307.09288v22023
Summaries:한국어
EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS
Sharath Girish, Kamal Gupta, Abhinav Shrivastava
cs.CVcs.GRarXiv:2312.04564v32023
A Tutorial on Environment-Aware Communications via Channel Knowledge Map for 6G
Yong Zeng, Junting Chen, Jie Xu +7
cs.ITeess.SParXiv:2309.07460v22023
One-step Diffusion with Distribution Matching Distillation
Tianwei Yin, Michaël Gharbi, Richard Zhang +4
cs.CVarXiv:2311.18828v42023
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Andreas Blattmann, Tim Dockhorn, Sumith Kulal +9
cs.CVarXiv:2311.15127v12023
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Simian Luo, Yiqin Tan, Longbo Huang +2
cs.CVcs.LGarXiv:2310.04378v12023
Nougat: Neural Optical Understanding for Academic Documents
Lukas Blecher, Guillem Cucurull, Thomas Scialom +1
cs.LGcs.CVarXiv:2308.13418v12023
Near-Field Communications: A Tutorial Review
Yuanwei Liu, Zhaolin Wang, Jiaqi Xu +3
cs.ITeess.SParXiv:2305.17751v32023
Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment
Rishabh Bhardwaj, Soujanya Poria
cs.CLarXiv:2308.09662v32023
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages
Jay Gala, Pranjal A. Chitale, Raghavan AK +11
cs.CLarXiv:2305.16307v32023
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
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters
Ching Chang, Wei-Yao Wang, Wen-Chih Peng +1
cs.LGarXiv:2308.08469v62023
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Rafael Rafailov, Archit Sharma, Eric Mitchell +3
cs.LGcs.AIcs.CLarXiv:2305.18290v32023
Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review
Shanliang Yao, Runwei Guan, Xiaoyu Huang +8
cs.CVcs.AIcs.ROarXiv:2304.10410v22023
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence
Junyi Zhang, Charles Herrmann, Junhwa Hur +4
cs.CVarXiv:2305.15347v22023
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
Zhiqing Sun, Yikang Shen, Qinhong Zhou +5
cs.LGcs.AIcs.CLarXiv:2305.03047v22023
Summaries:한국어
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
Andreas Blattmann, Robin Rombach, Huan Ling +4
cs.CVcs.LGarXiv:2304.08818v22023
VideoChat: Chat-Centric Video Understanding
KunChang Li, Yinan He, Yi Wang +6
cs.CVcs.CLarXiv:2305.06355v22023
Vision-Language Models for Vision Tasks: A Survey
Jingyi Zhang, Jiaxing Huang, Sheng Jin +1
cs.CVarXiv:2304.00685v22023

Every paper with a summary

ProtegoFed: Backdoor-Free Federated Instruction Tuning with Interspersed Poisoned Data

The Curse and Blessing of Mean Bias in FP4-Quantized LLM Training

Spectral Condition for $μ$P under Width-Depth Scaling

TDM-R1: Reinforcing Few-Step Diffusion Models with Non-Differentiable Reward

Accelerating Diffusion via Hybrid Data-Pipeline Parallelism Based on Conditional Guidance Scheduling

Flow Map Language Models: One-step Language Modeling via Continuous Denoising

Prescriptive Scaling Reveals the Evolution of Language Model Capabilities

Agents of Chaos

Learning from Trials and Errors: Reflective Test-Time Planning for Embodied LLMs

Spilled Energy in Large Language Models

ECO: Energy-Constrained Optimization with Reinforcement Learning for Humanoid Walking

FLAC: Maximum Entropy RL via Kinetic Energy Regularized Bridge Matching

Qute: Towards Quantum-Native Database

TADA! Tuning Audio Diffusion Models through Activation Steering

Vision Transformer Finetuning Benefits from Non-Smooth Components

Rolling Sink: Bridging Limited-Horizon Training and Open-Ended Testing in Autoregressive Video Diffusion

Dr. MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems

Approximation of Log-Partition Function in Policy Mirror Descent Induces Implicit Regularization for LLM Post-Training

Learning Rate Matters: Vanilla LoRA May Suffice for LLM Fine-tuning

Demystifying the Slash Pattern in Attention: The Role of RoPE

Neural Predictor-Corrector: Solving Homotopy Problems with Reinforcement Learning

On the Relationship Between Representation Geometry and Generalization in Deep Neural Networks

Grounding and Enhancing Informativeness and Utility in Dataset Distillation

UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities

HalluGuard: Demystifying Data-Driven and Reasoning-Driven Hallucinations in LLMs

FP8-RL: A Practical and Stable Low-Precision Stack for LLM Reinforcement Learning

Agentic Confidence Calibration

The European Union general data protection regulation: what it is and what it means

Designing and Evaluating AI Margin Notes in Document Reader Software

For-Value: Efficient Forward-Only Data Valuation for finetuning LLMs and VLMs

Empirical wavelet transform

Diffusion Policy Policy Optimization

Multicriteria Optimization and Decision Making: Principles, Algorithms and Case Studies

LamRA: Large Multimodal Model as Your Advanced Retrieval Assistant

YOLO advances to its genesis: a decadal and comprehensive review of the You Only Look Once (YOLO) series

Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL

Trust in AI: Progress, Challenges, and Future Directions

Diffusion for World Modeling: Visual Details Matter in Atari

BLINK: Multimodal Large Language Models Can See but Not Perceive

BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion

The Faiss library

Llama 2: Open Foundation and Fine-Tuned Chat Models

EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS

A Tutorial on Environment-Aware Communications via Channel Knowledge Map for 6G

One-step Diffusion with Distribution Matching Distillation

Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Nougat: Neural Optical Understanding for Academic Documents

Near-Field Communications: A Tutorial Review

Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment

IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages

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

LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review

A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence

Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision

Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models

VideoChat: Chat-Centric Video Understanding

Vision-Language Models for Vision Tasks: A Survey