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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79,621 to 79,680 of 104,219

A Spatio-temporal Transformer for 3D Human Motion Prediction
Emre Aksan, Manuel Kaufmann, Peng Cao +1
cs.CVarXiv:2004.08692v32020
Graph-Transformer Fraud Detection with Self-Supervised Pretraining and Conformal Risk Control
Sergei, Komarov
cs.LGcs.AIarXiv:2609.14234v12026
Contextual Experience Replay for Self-Improvement of Language Agents
Yitao Liu, Chenglei Si, Karthik Narasimhan +1
cs.AIcs.CLcs.CVarXiv:2506.06698v12025
Fast and Accurate Causal Parallel Decoding using Jacobi Forcing
Lanxiang Hu, Siqi Kou, Yichao Fu +5
cs.CLarXiv:2512.14681v12025
You Get What You Sample: Evaluating Sampling Strategies for Web Security Measurements
Xuenan Zhang, Yuqing Yang, Giancarlo Pellegrino
cs.CRarXiv:2609.11218v12026
ECAS: An Edge-Controlled Agentic System for Validation-Gated Scientific Application Execution
Baixi Sun, Mingze Xia, Huihuo Zheng
cs.DCcs.AIarXiv:2609.14211v12026
Linear Precoding Based on Polynomial Expansion: Large-Scale Multi-Cell MIMO Systems
Abla Kammoun, Axel Müller, Emil Björnson +1
cs.ITarXiv:1310.1799v22013
Metaverse for Social Good: A University Campus Prototype
Haihan Duan, Jiaye Li, Sizheng Fan +3
cs.MMcs.HCarXiv:2108.08985v12021
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities
Enneng Yang, Li Shen, Guibing Guo +4
cs.LGcs.AIcs.CLarXiv:2408.07666v52024
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration
Zhiqiang Shen, Zechun Liu, Jie Qin +3
cs.CVcs.AIcs.LGarXiv:2102.08946v22021
Signatures of Steerability in Activation Space of Language Models
Prajjwal Bhattarai, Tuka Alhanai
cs.LGcs.AIarXiv:2609.14151v12026
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu, Maithra Raghu, Samy Bengio +1
cs.LGstat.MLarXiv:1909.09157v22019
Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning Datasets
Lei Hsiung, Tianyu Pang, Yung-Chen Tang +4
cs.CRcs.CLcs.LGarXiv:2506.05346v12025
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges
Madhura Joshi, Ankit Pal, Malaikannan Sankarasubbu
cs.LGcs.AIcs.CRarXiv:2211.07893v22022
SwarmSense-DNN: A Trustworthy and Decentralized Neural Framework for Proactive Anomaly Defense in Consumer IoT
Jing Yang, Vijay Govindarajan, Saad Arif +6
cs.CRcs.NIarXiv:2606.11803v12026
Markovian Master Equations: A Critical Study
Ángel Rivas, A. Douglas K. Plato, Susana F. Huelga +1
quant-pharXiv:1006.4666v22010
Distributionally Robust Mixture-of-Experts Training
Xin Teng, Muxiao Li, Hongyi Wen
cs.LGcs.AIarXiv:2610.07207v12026
A new method for unveiling Open Clusters in Gaia: new nearby Open Clusters confirmed by DR2
A. Castro-Ginard, C. Jordi, X. Luri +4
astro-ph.GAarXiv:1805.03045v22018
GLIGEN: Open-Set Grounded Text-to-Image Generation
Yuheng Li, Haotian Liu, Qingyang Wu +5
cs.CVcs.AIcs.CLarXiv:2301.07093v22023
LPA-CWM: A Learned Physical Adjudicator for Motion Reasoning with Counterfactual World Models
Kunwei Wu, Xiang Liu, Guocai Yao +5
cs.CVcs.AIcs.ROarXiv:2609.14073v22026
Overcoming Sparsity Artifacts in Crosscoders to Interpret Chat-Tuning
Julian Minder, Clément Dumas, Caden Juang +2
cs.LGcs.AIcs.CLarXiv:2504.02922v42025
Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning
Violet Xiang, Chase Blagden, Rafael Rafailov +4
cs.AIcs.LGarXiv:2506.05256v22025
Relightable Gaussian Codec Avatars
Shunsuke Saito, Gabriel Schwartz, Tomas Simon +2
cs.GRcs.CVarXiv:2312.03704v22023
Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot
Fabien Baradel, Matthieu Armando, Salma Galaaoui +4
cs.CVarXiv:2402.14654v22024
RNA Secondary Structure Prediction By Learning Unrolled Algorithms
Xinshi Chen, Yu Li, Ramzan Umarov +2
cs.LGstat.MLarXiv:2002.05810v12020
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes +5
cs.CVarXiv:1502.03240v32015
Revisiting Identity and Spectra Dispersion in Media-Bridged Time Series Forecasting: Linking Multivariate Signals and Narrative Flows
Jierui Lei, Wenjian Zhang, Qingyi Yang +5
cs.CVcs.LGarXiv:2610.11924v12026
Per-Node Activation Function Evolution in Indirectly Encoded Substrates: Solvability, Limits, and Emergent Diversity
Romain Claret, Michael O'Neill, Paul Cotofrei +1
cs.NEcs.AIarXiv:2610.00149v12026
Irreducibility of Endomorphisms of Finitely Generated Free Semigroups
Paul C. Bell, Eva Foster, Daniel Reidenbach
cs.FLmath.GRarXiv:2610.07122v12026
Performance Drift Detection in Machine Learning as a Service (MLaaS) for IoT Environments
Deepak Kanneganti, Sajib Mistry, Sheik Mohammad Mostakim Fattah +3
cs.LGcs.AIarXiv:2608.18555v12026
An Input-Frugal Deep Learning Framework for Weather-Driven National Crop-Yield Forecasting: A Case Study of Brazilian Soybean
Fernando Dupin da Cunha Mello, Prashant Kumar, Erick G. Sperandio Nascimento
cs.LGstat.AParXiv:2609.38447v12026
RELIC: Evaluating Complex Reasoning via the Recognition of Languages In-Context
Jackson Petty, Michael Y. Hu, Wentao Wang +3
cs.CLarXiv:2506.05205v22025
Mitigating the Alignment Tax of RLHF
Yong Lin, Hangyu Lin, Wei Xiong +14
cs.LGarXiv:2309.06256v42023
Optimal dispatch of low-carbon integrated energy system considering nuclear heating and carbon trading
Yang Li, Fanjin Bu, Jiankai Gao +1
eess.SYcs.SYarXiv:2209.12025v12022
MODMA dataset: a Multi-modal Open Dataset for Mental-disorder Analysis
Hanshu Cai, Yiwen Gao, Shuting Sun +23
cs.DLcs.LGq-bio.NCarXiv:2002.09283v32020
Summaries:한국어
SoloQ: Calibration-Free Quantization for Diffusion Language Models
Donghyun Lee, Arkapravo Ghosh, Varun Manjunath +5
cs.LGarXiv:2610.07121v12026
Demonstration of a scaling advantage for a quantum annealer over simulated annealing
Tameem Albash, Daniel A. Lidar
quant-pharXiv:1705.07452v32017
ICI-VLA: In-Context Imitation with Spatiotemporally Aligned Demonstrations for Vision-Language-Action Models
Songhua Yang, Ziyu Liu, Xuetao Li +3
cs.ROarXiv:2609.07581v12026
GraMRAG: Orchestrating Multi-Agent Multi-Step Reasoning via Graph Memory with Reinforcement Learning
Zhongyu Wang
cs.CLcs.AIcs.CVarXiv:2609.14066v12026
Bias in Machine Learning Software: Why? How? What to do?
Joymallya Chakraborty, Suvodeep Majumder, Tim Menzies
cs.LGcs.SEarXiv:2105.12195v32021
Explaining Legal Concepts with Augmented Large Language Models (GPT-4)
Jaromir Savelka, Kevin D. Ashley, Morgan A. Gray +2
cs.CLcs.AIarXiv:2306.09525v22023
VITA: Towards Open-Source Interactive Omni Multimodal LLM
Chaoyou Fu, Haojia Lin, Zuwei Long +16
cs.CVcs.AIcs.CLarXiv:2408.05211v32024
Promises, Perils, and (Timely) Heuristics for Mining Coding Agent Activity
Romain Robbes, Théo Matricon, Thomas Degueule +2
cs.SEarXiv:2601.18345v12026
TRACE-C: Rank-Calibrated Relational Anomaly Detection for Multi-Stream Operational Telemetry
Matthew Faucher
cs.LGstat.MLarXiv:2608.21251v12026
Compressed Sensing using Generative Models
Ashish Bora, Ajil Jalal, Eric Price +1
stat.MLcs.ITcs.LGarXiv:1703.03208v12017
Sudo rm -rf: Efficient Networks for Universal Audio Source Separation
Efthymios Tzinis, Zhepei Wang, Paris Smaragdis
eess.AScs.CLcs.LGarXiv:2007.06833v12020
Quantifying Cross-Modality Memorization in Vision-Language Models
Yuxin Wen, Yangsibo Huang, Tom Goldstein +3
cs.CVcs.LGarXiv:2506.05198v12025
The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies
Feng He, Tianqing Zhu, Dayong Ye +3
cs.CRarXiv:2407.19354v22024
What is the effect of running-specific prostheses on long jumps? Optimization-based prediction and analysis using biomechanical models
Anna Lena Emonds, Johannes Funken, Wolfgang Potthast +1
cs.ROarXiv:2608.22507v12026
Convergent Emergence of In-Context Learning Across Modalities
Nathan Breslow, Seungwook Han, Daniel Hyunsoo Lee +3
cs.AIarXiv:2609.14011v12026
Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models
Junlin Fang, Do Nguyen-Thanh, Xiaogang Xu +2
cs.AIcs.LGarXiv:2607.22098v12026
IIB-LPO: Latent Policy Optimization via Iterative Information Bottleneck
Huilin Deng, Hongchen Luo, Yue Zhu +8
cs.LGcs.AIarXiv:2601.05870v12026
SchemaFill: Efficient LLM Tool Calling via Slot-Parallel Speculative Decoding
Zhi-Kai Chen, Song-Yan Li, De-Chuan Zhan +1
cs.LGcs.AIarXiv:2610.07086v12026
Learning Unmasking Policies for Diffusion Language Models
Metod Jazbec, Theo X. Olausson, Louis Béthune +6
cs.LGarXiv:2512.09106v42025
UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation
Bin Lin, Zongjian Li, Xinhua Cheng +9
cs.CVcs.AIcs.CLarXiv:2506.03147v42025
A Performance Study of LLM-Generated Code on Leetcode
Tristan Coignion, Clément Quinton, Romain Rouvoy
cs.SEcs.AIarXiv:2407.21579v12024
Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization
Paras Jain, Ajay Jain, Aniruddha Nrusimha +5
cs.LGcs.CVcs.DCarXiv:1910.02653v32019
End-to-End Context Compression at Scale
Ang Li, Sean McLeish, Haozhe Chen +12
cs.CLcs.AIcs.LGarXiv:2606.09659v12026
BAM: Bottleneck Attention Module
Jongchan Park, Sanghyun Woo, Joon-Young Lee +1
cs.CVarXiv:1807.06514v22018
Mutual information-assisted Adaptive Variational Quantum Eigensolver
Zi-Jian Zhang, Thi Ha Kyaw, Jakob S. Kottmann +2
quant-pharXiv:2008.07553v32020

Every paper with a summary

A Spatio-temporal Transformer for 3D Human Motion Prediction

Graph-Transformer Fraud Detection with Self-Supervised Pretraining and Conformal Risk Control

Contextual Experience Replay for Self-Improvement of Language Agents

Fast and Accurate Causal Parallel Decoding using Jacobi Forcing

You Get What You Sample: Evaluating Sampling Strategies for Web Security Measurements

ECAS: An Edge-Controlled Agentic System for Validation-Gated Scientific Application Execution

Linear Precoding Based on Polynomial Expansion: Large-Scale Multi-Cell MIMO Systems

Metaverse for Social Good: A University Campus Prototype

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities

S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration

Signatures of Steerability in Activation Space of Language Models

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

Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning Datasets

Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges

SwarmSense-DNN: A Trustworthy and Decentralized Neural Framework for Proactive Anomaly Defense in Consumer IoT

Markovian Master Equations: A Critical Study

Distributionally Robust Mixture-of-Experts Training

A new method for unveiling Open Clusters in Gaia: new nearby Open Clusters confirmed by DR2

GLIGEN: Open-Set Grounded Text-to-Image Generation

LPA-CWM: A Learned Physical Adjudicator for Motion Reasoning with Counterfactual World Models

Overcoming Sparsity Artifacts in Crosscoders to Interpret Chat-Tuning

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Relightable Gaussian Codec Avatars

Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot

RNA Secondary Structure Prediction By Learning Unrolled Algorithms

Conditional Random Fields as Recurrent Neural Networks

Revisiting Identity and Spectra Dispersion in Media-Bridged Time Series Forecasting: Linking Multivariate Signals and Narrative Flows

Per-Node Activation Function Evolution in Indirectly Encoded Substrates: Solvability, Limits, and Emergent Diversity

Irreducibility of Endomorphisms of Finitely Generated Free Semigroups

Performance Drift Detection in Machine Learning as a Service (MLaaS) for IoT Environments

An Input-Frugal Deep Learning Framework for Weather-Driven National Crop-Yield Forecasting: A Case Study of Brazilian Soybean

RELIC: Evaluating Complex Reasoning via the Recognition of Languages In-Context

Mitigating the Alignment Tax of RLHF

Optimal dispatch of low-carbon integrated energy system considering nuclear heating and carbon trading

MODMA dataset: a Multi-modal Open Dataset for Mental-disorder Analysis

SoloQ: Calibration-Free Quantization for Diffusion Language Models

Demonstration of a scaling advantage for a quantum annealer over simulated annealing

ICI-VLA: In-Context Imitation with Spatiotemporally Aligned Demonstrations for Vision-Language-Action Models

GraMRAG: Orchestrating Multi-Agent Multi-Step Reasoning via Graph Memory with Reinforcement Learning

Bias in Machine Learning Software: Why? How? What to do?

Explaining Legal Concepts with Augmented Large Language Models (GPT-4)

VITA: Towards Open-Source Interactive Omni Multimodal LLM

Promises, Perils, and (Timely) Heuristics for Mining Coding Agent Activity

TRACE-C: Rank-Calibrated Relational Anomaly Detection for Multi-Stream Operational Telemetry

Compressed Sensing using Generative Models

Sudo rm -rf: Efficient Networks for Universal Audio Source Separation

Quantifying Cross-Modality Memorization in Vision-Language Models

The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies

What is the effect of running-specific prostheses on long jumps? Optimization-based prediction and analysis using biomechanical models

Convergent Emergence of In-Context Learning Across Modalities

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models

IIB-LPO: Latent Policy Optimization via Iterative Information Bottleneck

SchemaFill: Efficient LLM Tool Calling via Slot-Parallel Speculative Decoding

Learning Unmasking Policies for Diffusion Language Models

UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation

A Performance Study of LLM-Generated Code on Leetcode

Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization

End-to-End Context Compression at Scale

BAM: Bottleneck Attention Module

Mutual information-assisted Adaptive Variational Quantum Eigensolver