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)

51,361 to 51,420 of 61,393

AI Choreographer: Music Conditioned 3D Dance Generation with AIST++
Ruilong Li, Shan Yang, David A. Ross +1
cs.CVcs.GRcs.MMarXiv:2101.08779v32021
ORBIT++: Benchmarking SfM in the Wild with 360° Video
Sara Sabour, Linyi Jin, Richard Tucker +9
cs.CVarXiv:2608.22039v12026
Rubrics as an Attack Surface: Stealthy Preference Drift in LLM Judges
Ruomeng Ding, Yifei Pang, He Sun +3
cs.CRcs.AIcs.CLarXiv:2602.13576v12026
A Tour of Reinforcement Learning: The View from Continuous Control
Benjamin Recht
math.OCcs.LGstat.MLarXiv:1806.09460v22018
FEWZ 2.0: A code for hadronic Z production at next-to-next-to-leading order
Ryan Gavin, Ye Li, Frank Petriello +1
hep-phhep-exarXiv:1011.3540v12010
Dropping Anchor and Spherical Harmonics for Sparse-view Gaussian Splatting
Shuangkang Fang, I-Chao Shen, Xuanyang Zhang +5
cs.CVarXiv:2602.20933v12026
Towards Fast Computation of Certified Robustness for ReLU Networks
Tsui-Wei Weng, Huan Zhang, Hongge Chen +5
stat.MLcs.CRcs.CVarXiv:1804.09699v42018
$π$-StepNFT: Wider Space Needs Finer Steps in Online RL for Flow-based VLAs
Siting Wang, Xiaofeng Wang, Zheng Zhu +7
cs.ROcs.CVarXiv:2603.02083v22026
AdapterHub: A Framework for Adapting Transformers
Jonas Pfeiffer, Andreas Rücklé, Clifton Poth +5
cs.CLarXiv:2007.07779v32020
The Internal State of an LLM Knows When It's Lying
Amos Azaria, Tom Mitchell
cs.CLcs.AIcs.LGarXiv:2304.13734v22023
Safe RLHF: Safe Reinforcement Learning from Human Feedback
Josef Dai, Xuehai Pan, Ruiyang Sun +5
cs.AIcs.LGarXiv:2310.12773v12023
Phi-4 Technical Report
Marah Abdin, Jyoti Aneja, Harkirat Behl +24
cs.CLcs.AIarXiv:2412.08905v12024
Sci-Reasoning: A Dataset Decoding AI Innovation Patterns
Jiachen Liu, Maestro Harmon, Zechen Zhang
cs.AIcs.LGarXiv:2601.04577v12026
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning
Yanbin Liu, Juho Lee, Minseop Park +4
cs.LGcs.CVcs.NEarXiv:1805.10002v52018
FlyPose: Towards Robust Human Pose Estimation From Aerial Views
Hassaan Farooq, Marvin Brenner, Peter Stütz
cs.CVcs.ROarXiv:2601.05747v22026
Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models
Yiheng Liu, Tianle Han, Siyuan Ma +15
cs.CLarXiv:2304.01852v42023
VERDICT: Agreement Beats Pixel-Space Verification in Real-Document OCSR
Yani Guan, Dengpan Dong, Shuang Luo +6
cs.CVcs.IRcs.LGarXiv:2608.22183v12026
Discriminative Embeddings of Latent Variable Models for Structured Data
Hanjun Dai, Bo Dai, Le Song
cs.LGarXiv:1603.05629v52016
Towards Actionable Visualization: Ten Years Later, What Generative AI Changes and What It Cannot
Leonel Merino, Mohammad Ghafari, Oscar Nierstrasz
cs.SEcs.ETarXiv:2608.22151v12026
Structured Episodic Event Memory
Zhengxuan Lu, Dongfang Li, Yukun Shi +3
cs.CLarXiv:2601.06411v22026
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies
Shengding Hu, Yuge Tu, Xu Han +22
cs.CLcs.LGarXiv:2404.06395v32024
On-Policy Self-Distillation in Diffusion Models
Wei Zhou, Xiongwei Zhu, Lingdong Kong +14
cs.CVarXiv:2608.24646v12026
From Diagnosis to Redesign: Using Quantitative Ethnography to Improve Multi-Agent LLM Reasoning
Vedant Khatri, Anthony Cusimano, Zachari Swiecki +3
cs.CLarXiv:2608.22566v12026
3D CoCa v2: Contrastive Learners with Test-Time Search for Generalizable Spatial Intelligence
Hao Tang, Ting Huang, Zeyu Zhang
cs.CVarXiv:2601.06496v12026
When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMs
Zhongxiang Sun, Yi Zhan, Chenglei Shen +4
cs.CLcs.AIarXiv:2601.11000v12026
Solar Open Technical Report
Sungrae Park, Sanghoon Kim, Jungho Cho +34
cs.CLarXiv:2601.07022v12026
MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer
Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych +1
cs.CLarXiv:2005.00052v32020
Does Inference Scaling Improve Reasoning Faithfulness? A Multi-Model Analysis of Self-Consistency Tradeoffs
Deep Mehta
cs.AIarXiv:2601.06423v12026
UniX: Unifying Autoregression and Diffusion for Chest X-Ray Understanding and Generation
Ruiheng Zhang, Jingfeng Yao, Huangxuan Zhao +9
cs.CVarXiv:2601.11522v12026
AudioNoisePrints: Model-free audio watermarking using spatial correlation in flow matching TTS
Timothy Tin-Long, Jian Zhu, Aidan Pine +1
cs.SDcs.CLarXiv:2608.22186v12026
GutenOCR: A Grounded Vision-Language Front-End for Documents
Hunter Heidenreich, Ben Elliott, Olivia Dinica +1
cs.CVcs.AIcs.CLarXiv:2601.14490v22026
Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients
Andrew Slavin Ross, Finale Doshi-Velez
cs.LGcs.CRcs.CVarXiv:1711.09404v12017
Sparking Scientific Creativity via LLM-Driven Interdisciplinary Inspiration
Priyanka Kargupta, Shuhaib Mehri, Dilek Hakkani-Tur +1
cs.CLcs.AIarXiv:2603.12226v12026
NanoVDR: Distilling a 2B Vision-Language Retriever into a 70M Text-Only Encoder for Visual Document Retrieval
Zhuchenyang Liu, Yao Zhang, Yu Xiao
cs.IRcs.CVcs.LGarXiv:2603.12824v22026
DARC: Decoupled Asymmetric Reasoning Curriculum for LLM Evolution
Shengda Fan, Xuyan Ye, Yankai Lin
cs.AIcs.CLarXiv:2601.13761v22026
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
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu, Maithra Raghu, Samy Bengio +1
cs.LGstat.MLarXiv:1909.09157v22019
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
Yun Luo, Zhen Yang, Fandong Meng +3
cs.CLarXiv:2308.08747v52023
Visualizing and Understanding Neural Models in NLP
Jiwei Li, Xinlei Chen, Eduard Hovy +1
cs.CLarXiv:1506.01066v22015
ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering
Zhou Yu, Dejing Xu, Jun Yu +4
cs.CVarXiv:1906.02467v12019
Masked Autoencoders for Point Cloud Self-supervised Learning
Yatian Pang, Wenxiao Wang, Francis E. H. Tay +3
cs.CVarXiv:2203.06604v22022
Less is more: sampling chemical space with active learning
Justin S. Smith, Ben Nebgen, Nicholas Lubbers +2
physics.comp-phcs.LGphysics.chem-pharXiv:1801.09319v22018
Recursive Experiential-Working Memory Evolution for Long-Horizon Agent Harnesses
Zhaochen Yu, Yingcheng Wu, Zhenfei Yin +5
cs.AIcs.CLarXiv:2608.24876v12026
Issues in Stacked Generalization
K. M. Ting, I. H. Witten
cs.AIarXiv:1105.5466v12011
Privacy Collapse: Benign Fine-Tuning Can Break Contextual Privacy in Language Models
Anmol Goel, Cornelius Emde, Sangdoo Yun +2
cs.CLarXiv:2601.15220v22026
Memorization Dynamics in Knowledge Distillation for Language Models
Jaydeep Borkar, Karan Chadha, Niloofar Mireshghallah +6
cs.CLarXiv:2601.15394v22026
CIGALE: a python Code Investigating GALaxy Emission
M. Boquien, D. Burgarella, Y. Roehlly +5
astro-ph.GAastro-ph.IMarXiv:1811.03094v12018
All four leading LLMs talk more than they listen to personality-verified synthetic help-seekers
Pablo A. Fonseca, Raquel Rodríguez-Carvajal, Rafael A. Calvo
cs.HCcs.CLcs.CYarXiv:2608.22425v12026
Benchmarking Small Language Models and Small Reasoning Language Models on System Log Severity Classification
Yahya Masri, Emily Ma, Zifu Wang +2
cs.AIarXiv:2601.07790v12026
JudgeRLVR: Judge First, Generate Second for Efficient Reasoning
Jiangshan Duo, Hanyu Li, Hailin Zhang +3
cs.CLcs.AIcs.LGarXiv:2601.08468v12026
Deep Learning-based Channel Estimation for Beamspace mmWave Massive MIMO Systems
Hengtao He, Chao-Kai Wen, Shi Jin +1
cs.ITarXiv:1802.01290v22018
Urban Socio-Semantic Segmentation with Vision-Language Reasoning
Yu Wang, Yi Wang, Rui Dai +4
cs.CVcs.AIcs.CYarXiv:2601.10477v22026
Whitewashing Hate, Smearing Harmless Content: Annotator-Style Rebuttal Attacks on LLM-Based Moderation
Junyu Lu, Kaiyuan Liu, Jingyi Kang +7
cs.CLarXiv:2608.22230v12026
Enhancing Underwater Imagery using Generative Adversarial Networks
Cameron Fabbri, Md Jahidul Islam, Junaed Sattar
cs.CVcs.ROarXiv:1801.04011v12018
Neuromorphic computing with multi-memristive synapses
Irem Boybat, Manuel Le Gallo, S. R. Nandakumar +7
cs.ETarXiv:1711.06507v22017
Joint Causal Structure and Cluster Discovery Using Variational Inference
Avni Rajpal, Anubhav Kumar, Rishabh Karnad +2
cs.LGcs.AIstat.MLarXiv:2608.22212v12026
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action
Dhruv Shah, Blazej Osinski, Brian Ichter +1
cs.ROcs.AIcs.CLarXiv:2207.04429v22022
Do altmetrics correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective
Rodrigo Costas, Zohreh Zahedi, Paul Wouters
cs.DLarXiv:1401.4321v12014
CAFE: Self-Improving Search Agents Need Co-Evolving Feedback
Boyang Liu, Senjie Jin, Peixin Wang +15
cs.AIarXiv:2608.24794v12026
nnFormer: Interleaved Transformer for Volumetric Segmentation
Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang +3
cs.CVarXiv:2109.03201v62021

Every paper with a summary

AI Choreographer: Music Conditioned 3D Dance Generation with AIST++

ORBIT++: Benchmarking SfM in the Wild with 360° Video

Rubrics as an Attack Surface: Stealthy Preference Drift in LLM Judges

A Tour of Reinforcement Learning: The View from Continuous Control

FEWZ 2.0: A code for hadronic Z production at next-to-next-to-leading order

Dropping Anchor and Spherical Harmonics for Sparse-view Gaussian Splatting

Towards Fast Computation of Certified Robustness for ReLU Networks

$π$-StepNFT: Wider Space Needs Finer Steps in Online RL for Flow-based VLAs

AdapterHub: A Framework for Adapting Transformers

The Internal State of an LLM Knows When It's Lying

Safe RLHF: Safe Reinforcement Learning from Human Feedback

Phi-4 Technical Report

Sci-Reasoning: A Dataset Decoding AI Innovation Patterns

Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning

FlyPose: Towards Robust Human Pose Estimation From Aerial Views

Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models

VERDICT: Agreement Beats Pixel-Space Verification in Real-Document OCSR

Discriminative Embeddings of Latent Variable Models for Structured Data

Towards Actionable Visualization: Ten Years Later, What Generative AI Changes and What It Cannot

Structured Episodic Event Memory

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

On-Policy Self-Distillation in Diffusion Models

From Diagnosis to Redesign: Using Quantitative Ethnography to Improve Multi-Agent LLM Reasoning

3D CoCa v2: Contrastive Learners with Test-Time Search for Generalizable Spatial Intelligence

When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMs

Solar Open Technical Report

MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer

Does Inference Scaling Improve Reasoning Faithfulness? A Multi-Model Analysis of Self-Consistency Tradeoffs

UniX: Unifying Autoregression and Diffusion for Chest X-Ray Understanding and Generation

AudioNoisePrints: Model-free audio watermarking using spatial correlation in flow matching TTS

GutenOCR: A Grounded Vision-Language Front-End for Documents

Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients

Sparking Scientific Creativity via LLM-Driven Interdisciplinary Inspiration

NanoVDR: Distilling a 2B Vision-Language Retriever into a 70M Text-Only Encoder for Visual Document Retrieval

DARC: Decoupled Asymmetric Reasoning Curriculum for LLM Evolution

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

Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Visualizing and Understanding Neural Models in NLP

ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering

Masked Autoencoders for Point Cloud Self-supervised Learning

Less is more: sampling chemical space with active learning

Recursive Experiential-Working Memory Evolution for Long-Horizon Agent Harnesses

Issues in Stacked Generalization

Privacy Collapse: Benign Fine-Tuning Can Break Contextual Privacy in Language Models

Memorization Dynamics in Knowledge Distillation for Language Models

CIGALE: a python Code Investigating GALaxy Emission

All four leading LLMs talk more than they listen to personality-verified synthetic help-seekers

Benchmarking Small Language Models and Small Reasoning Language Models on System Log Severity Classification

JudgeRLVR: Judge First, Generate Second for Efficient Reasoning

Deep Learning-based Channel Estimation for Beamspace mmWave Massive MIMO Systems

Urban Socio-Semantic Segmentation with Vision-Language Reasoning

Whitewashing Hate, Smearing Harmless Content: Annotator-Style Rebuttal Attacks on LLM-Based Moderation

Enhancing Underwater Imagery using Generative Adversarial Networks

Neuromorphic computing with multi-memristive synapses

Joint Causal Structure and Cluster Discovery Using Variational Inference

LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action

Do altmetrics correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective

CAFE: Self-Improving Search Agents Need Co-Evolving Feedback

nnFormer: Interleaved Transformer for Volumetric Segmentation