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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51,121 to 51,180 of 61,134

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
Meta$^n$: Recursive Self-Improvement through Emergent Depth
Zae Myung Kim, Young-Jun Lee, Seungyeon Jwa +1
cs.AIcs.CLeess.SYarXiv:2608.24735v12026
Lost in the Prompt Order: Revealing the Limitations of Causal Attention in Language Models
Hyunjong Ok, Jaeho Lee
cs.CLcs.AIcs.LGarXiv:2601.14152v22026
XR: Cross-Modal Agents for Composed Image Retrieval
Zhongyu Yang, Wei Pang, Yingfang Yuan
cs.IRarXiv:2601.14245v22026
VideoMaMa: Mask-Guided Video Matting via Generative Prior
Sangbeom Lim, Seoung Wug Oh, Jiahui Huang +3
cs.CVcs.AIarXiv:2601.14255v12026
Gated Context Aggregation Network for Image Dehazing and Deraining
Dongdong Chen, Mingming He, Qingnan Fan +5
cs.CVarXiv:1811.08747v22018
Structure and Content-Guided Video Synthesis with Diffusion Models
Patrick Esser, Johnathan Chiu, Parmida Atighehchian +2
cs.CVarXiv:2302.03011v12023
On-policy Distillation with Verifiable Reward
Wenze Lin, Jiale Zhao, Xitai Jiang +5
cs.LGcs.AIarXiv:2608.24696v12026
A Comprehensive Overhaul of Feature Distillation
Byeongho Heo, Jeesoo Kim, Sangdoo Yun +3
cs.CVcs.LGarXiv:1904.01866v22019
Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies
Mumuksh Tayal, Manan Tayal, Ravi Prakash
cs.LGcs.AIarXiv:2603.15136v22026
Learning a Deep Embedding Model for Zero-Shot Learning
Li Zhang, Tao Xiang, Shaogang Gong
cs.CVarXiv:1611.05088v42016
GroupViT: Semantic Segmentation Emerges from Text Supervision
Jiarui Xu, Shalini De Mello, Sifei Liu +4
cs.CVarXiv:2202.11094v52022
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
Marc Lanctot, Vinicius Zambaldi, Audrunas Gruslys +5
cs.AIcs.GTcs.LGarXiv:1711.00832v22017
VIOLA: Towards Video In-Context Learning with Minimal Annotations
Ryo Fujii, Hideo Saito, Ryo Hachiuma
cs.CVcs.AIarXiv:2601.15549v12026
The Impact of AI on Developer Productivity: Evidence from GitHub Copilot
Sida Peng, Eirini Kalliamvakou, Peter Cihon +1
cs.SEarXiv:2302.06590v12023
Consensus of Multi-Agent Systems with General Linear and Lipschitz Nonlinear Dynamics Using Distributed Adaptive Protocols
Zhongkui Li, Wei Ren, Xiangdong Liu +1
eess.SYmath.OCarXiv:1109.3799v12011
Integrating sequencing datasets to form highly confident SNP and indel genotype calls for a whole human genome
Justin M. Zook, Brad Chapman, Jason Wang +4
q-bio.GNarXiv:1307.4661v22013
RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-Agents
Jize Wang, Han Wu, Zhiyuan You +9
cs.AIarXiv:2601.18130v12026
Training Reasoning Models on Saturated Problems via Failure-Prefix Conditioning
Minwu Kim, Safal Shrestha, Anubhav Shrestha +1
cs.LGcs.AIcs.CLarXiv:2601.20829v22026

Every paper with a summary

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

Meta$^n$: Recursive Self-Improvement through Emergent Depth

Lost in the Prompt Order: Revealing the Limitations of Causal Attention in Language Models

XR: Cross-Modal Agents for Composed Image Retrieval

VideoMaMa: Mask-Guided Video Matting via Generative Prior

Gated Context Aggregation Network for Image Dehazing and Deraining

Structure and Content-Guided Video Synthesis with Diffusion Models

On-policy Distillation with Verifiable Reward

A Comprehensive Overhaul of Feature Distillation

Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies

Learning a Deep Embedding Model for Zero-Shot Learning

GroupViT: Semantic Segmentation Emerges from Text Supervision

A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning

VIOLA: Towards Video In-Context Learning with Minimal Annotations

The Impact of AI on Developer Productivity: Evidence from GitHub Copilot

Consensus of Multi-Agent Systems with General Linear and Lipschitz Nonlinear Dynamics Using Distributed Adaptive Protocols

Integrating sequencing datasets to form highly confident SNP and indel genotype calls for a whole human genome

RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-Agents

Training Reasoning Models on Saturated Problems via Failure-Prefix Conditioning