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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24,541 to 24,600 of 119,758

L\'evy-Khintchine Structure Enables Fast-Forwardable Lindbladian Simulation
Minbo Gao, Zhengfeng Ji, Chenghua Liu
quant-pharXiv:2511.10253v22025
The exploding gradient problem demystified - definition, prevalence, impact, origin, tradeoffs, and solutions
George Philipp, Dawn Song, Jaime G. Carbonell
cs.LGcs.CVarXiv:1712.05577v42017
AI-Assisted Programming Decreases the Productivity of Experienced Developers by Increasing the Technical Debt and Maintenance Burden
Feiyang Xu, Poonacha K. Medappa, Murat M. Tunc +2
econ.GNcs.CYq-fin.ECarXiv:2510.10165v32025
Online Continual Learning on Intel Loihi 2 via a Co-designed Spiking Neural Network
Elvin Hajizada, Danielle Rager, Timothy Shea +5
cs.LGcs.AIcs.DCarXiv:2511.01553v22025
Incentivizing Consistent, Effective and Scalable Reasoning Capability in Audio LLMs via Reasoning Process Rewards
Jiajun Fan, Roger Ren, Jingyuan Li +6
cs.LGcs.AIarXiv:2510.20867v12025
LHAW: Controllable Underspecification for Long-Horizon Tasks
George Pu, Michael S. Lee, Udari Madhushani Sehwag +6
cs.CLcs.AIcs.LGarXiv:2602.10525v22026
DeepEye-SQL: A Software-Engineering-Inspired Text-to-SQL Framework
Boyan Li, Chong Chen, Zhujun Xue +2
cs.DBarXiv:2510.17586v32025
HypoSpace: A Diagnostic Benchmark for Set-Valued Hypothesis Generation under Underdetermination and Sublinear Coverage Bounds
Tingting Chen, Beibei Lin, Zifeng Yuan +5
cs.CLarXiv:2510.15614v32025
Probabilistic Soundness Guarantees in LLM Reasoning Chains
Weiqiu You, Anton Xue, Shreya Havaldar +4
cs.LGcs.CLarXiv:2507.12948v22025
Bit Allocation Transfer for Perceptual Quality Enhancement of VVC Intra Coding
Runyu Yang, Ivan V. Bajić
eess.IVarXiv:2510.10970v22025
HatLLM: Hierarchical Attention Masking for Enhanced Collaborative Modeling in LLM-based Recommendation
Yu Cui, Feng Liu, Jiawei Chen +6
cs.IRarXiv:2510.10955v12025
Code World Models for General Game Playing
Wolfgang Lehrach, Daniel Hennes, Miguel Lazaro-Gredilla +13
cs.AIarXiv:2510.04542v12025
Aligning Large Language Models via Fully Self-Synthetic Data
Shangjian Yin, Zhepei Wei, Xinyu Zhu +2
cs.CLarXiv:2510.06652v12025
Attribution-by-design: Ensuring Inference-Time Provenance in Generative Music Systems
Fabio Morreale, Wiebke Hutiri, Joan Serrà +2
cs.SDcs.AIcs.HCarXiv:2510.08062v12025
Community notes reduce engagement with and diffusion of false information online
Isaac Slaughter, Axel Peytavin, Johan Ugander +1
cs.SIcs.CYphysics.soc-pharXiv:2502.13322v22025
Behaviors of susceptible-infected epidemics on scale-free networks with identical infectivity
Tao Zhou, Jian-Guo Liu, Wen-Jie Bai +2
physics.bio-phphysics.soc-pharXiv:physics/0604083v22006
Dark and Bright Patterns in Cookie Consent Requests
Paul Graßl, Hanna Schraffenberger, Frederik Zuiderveen Borgesius +1
cs.CYarXiv:2509.18210v12025
Drop-Muon: Update Less, Converge Faster
Kaja Gruntkowska, Yassine Maziane, Zheng Qu +1
cs.LGmath.OCstat.MLarXiv:2510.02239v12025
Agentar-Scale-SQL: Advancing Text-to-SQL through Orchestrated Test-Time Scaling
Pengfei Wang, Baolin Sun, Xuemei Dong +7
cs.CLcs.DBarXiv:2509.24403v62025
LOGOS: LLM-driven End-to-End Grounded Theory Development and Schema Induction for Qualitative Research
Xinyu Pi, Qisen Yang, Chuong Nguyen
cs.CLcs.HCarXiv:2509.24294v22025
Takedown: How It's Done in Modern Coding Agent Exploits
Eunkyu Lee, Donghyeon Kim, Wonyoung Kim +1
cs.CRarXiv:2509.24240v12025
Reducing Cost of LLM Agents with Trajectory Reduction
Yuan-An Xiao, Pengfei Gao, Chao Peng +1
cs.SEcs.AIarXiv:2509.23586v22025
Zero-shot Whole-Body Manipulation with a Large-Scale Soft Robotic Torso via Guided Reinforcement Learning
Curtis C. Johnson, Carlo Alessi, Egidio Falotico +1
cs.ROarXiv:2509.23556v12025
Flatness is Necessary, Neural Collapse is Not: Rethinking Generalization via Grokking
Ting Han, Linara Adilova, Henning Petzka +2
cs.LGarXiv:2509.17738v32025
Circuit realization and hardware linearization of monotone operator equilibrium networks
Thomas Chaffey
eess.SYcs.LGcs.NEarXiv:2509.13793v32025
CompSpoof: A Dataset and Joint Learning Framework for Component-Level Audio Anti-spoofing Countermeasures
Xueping Zhang, Yechen Wang, Linxi Li +2
cs.SDeess.ASarXiv:2509.15804v22025
Exploring Scaling Laws of CTR Model for Online Performance Improvement
Weijiang Lai, Beihong Jin, Jiongyan Zhang +5
cs.IRarXiv:2508.15326v22025
Scoring the Terabit/s Goal:Broadband Connectivity in 6G
Nandana Rajatheva, Italo Atzeni, Simon Bicais +26
eess.SParXiv:2008.07220v22020
Exponential Lindbladian fast forwarding and exponential amplification of certain Gibbs state properties
Zhong-Xia Shang, Dong An, Changpeng Shao
quant-pharXiv:2509.09517v22025
World-to-Wrist: Task-Conditioned Future Wrist Modeling for Fine-Grained Robot Manipulation
Yuhao Pan, Haosong Peng, Zhengshen Zhang +8
cs.ROcs.CVarXiv:2608.05369v22026
Language Self-Play For Data-Free Training
Jakub Grudzien Kuba, Mengting Gu, Qi Ma +3
cs.AIcs.CLcs.GTarXiv:2509.07414v32025
IGAff: Benchmarking Adversarial Iterative and Genetic Affine Algorithms on Deep Neural Networks
Sebastian-Vasile Echim, Andrei-Alexandru Preda, Dumitru-Clementin Cercel +1
cs.CVcs.LGarXiv:2509.06459v12025
No Thoughts Just AI: Biased LLM Hiring Recommendations Alter Human Decision Making and Limit Human Autonomy
Kyra Wilson, Mattea Sim, Anna-Maria Gueorguieva +1
cs.CYcs.AIcs.CLarXiv:2509.04404v22025
GMOR: A Lightweight Robust Point Cloud Registration Framework via Geometric Maximum Overlapping
Zhao Zheng, Jingfan Fan, Long Shao +6
cs.CVcs.ROarXiv:2508.17427v22025
Fast globally optimal Truncated Least Squares point cloud registration with fixed rotation axis
Ivo Ivanov, Carsten Markgraf
cs.CVarXiv:2508.15613v12025
DeepPHY: Benchmarking Agentic VLMs on Physical Reasoning
Xinrun Xu, Pi Bu, Ye Wang +7
cs.AIarXiv:2508.05405v12025
BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining
DatologyAI, :, Pratyush Maini +28
cs.LGcs.CLarXiv:2508.10975v22025
Modeling Long-term User Behaviors with Diffusion-driven Multi-interest Network for CTR Prediction
Weijiang Lai, Beihong Jin, Yapeng Zhang +5
cs.IRarXiv:2508.15311v22025
SEEA-R1: Tree-Structured Reinforcement Fine-Tuning for Self-Evolving Embodied Agents
Wanxin Tian, Shijie Zhang, Kevin Zhang +12
cs.AIarXiv:2506.21669v22025
HiD-VAE: Interpretable Generative Recommendation via Hierarchical and Disentangled Semantic IDs
Dengzhao Fang, Jingtong Gao, Chengcheng Zhu +3
cs.IRcs.AIarXiv:2508.04618v22025
Evo-MARL: Co-Evolutionary Multi-Agent Reinforcement Learning for Internalized Safety
Zhenyu Pan, Yiting Zhang, Yutong Zhang +8
cs.AIarXiv:2508.03864v22025
DRO-EDL-MPC: Evidential Deep Learning-Based Distributionally Robust Model Predictive Control for Safe Autonomous Driving
Hyeongchan Ham, Heejin Ahn
cs.ROarXiv:2507.05710v32025
Response Attack: Exploiting Contextual Priming to Jailbreak Large Language Models
Ziqi Miao, Lijun Li, Yuan Xiong +3
cs.CLarXiv:2507.05248v22025
Towards Initialization-free Calibrated Bundle Adjustment
Carl Olsson, Amanda Nilsson
cs.CVarXiv:2506.23808v22025
WildSpeech-Bench: Benchmarking End-to-End SpeechLLMs in the Wild
Linhao Zhang, Jian Zhang, Bokai Lei +4
cs.CLarXiv:2506.21875v32025
Intention-Conditioned Flow Occupancy Models
Chongyi Zheng, Seohong Park, Sergey Levine +1
cs.LGcs.AIarXiv:2506.08902v42025
CPAM: Context-Preserving Adaptive Manipulation for Zero-Shot Real Image Editing
Dinh-Khoi Vo, Thanh-Toan Do, Tam V. Nguyen +2
cs.CVarXiv:2506.18438v32025
Quantum resources in resource management systems
Utz Bacher, Mark Birmingham, Christopher D. Carothers +14
quant-phcs.DCcs.ETarXiv:2506.10052v22025
Stationary MMD Points
Zonghao Chen, Toni Karvonen, Heishiro Kanagawa +2
stat.MLcs.LGarXiv:2505.20754v32025
Beyond RLHF and NLHF: Population-Proportional Alignment under an Axiomatic Framework
Kihyun Kim, Jiawei Zhang, Asuman Ozdaglar +1
cs.AIcs.LGarXiv:2506.05619v32025
SPARTA ALIGNMENT: Collectively Aligning Multiple Language Models through Combat
Yuru Jiang, Wenxuan Ding, Shangbin Feng +2
cs.CLarXiv:2506.04721v32025
Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems
Xu Shen, Yixin Liu, Yiwei Dai +5
cs.MAcs.AIarXiv:2505.23352v12025
MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming
Chengqi Zheng, Jianda Chen, Yueming Lyu +5
cs.LGcs.MAarXiv:2505.22967v12025
Augmenting Research Ideation with Data: An Empirical Investigation in Social Science
Xiao Liu, Xinyi Dong, Xinyang Gao +2
cs.CLcs.AIcs.CYarXiv:2505.21396v22025
Understanding Transformer from the Perspective of Associative Memory
Shu Zhong, Mingyu Xu, Tenglong Ao +1
cs.LGcs.AIarXiv:2505.19488v12025
EGA-V1: Unifying Online Advertising with End-to-End Learning
Junyan Qiu, Ze Wang, Fan Zhang +7
cs.IRarXiv:2505.19755v22025
Automatic Metadata Extraction for Text-to-SQL
Vladislav Shkapenyuk, Divesh Srivastava, Theodore Johnson +1
cs.DBarXiv:2505.19988v22025
Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis
Akarsh Kumar, Jeff Clune, Joel Lehman +1
cs.CVcs.LGcs.NEarXiv:2505.11581v12025
MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming
Weiyang Guo, Jing Li, Wenya Wang +4
cs.CRcs.AIarXiv:2505.17147v12025
LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions
Chaochen Gao, Xing Wu, Zijia Lin +2
cs.CLcs.AIarXiv:2505.17134v22025

Every paper with a summary

L\'evy-Khintchine Structure Enables Fast-Forwardable Lindbladian Simulation

The exploding gradient problem demystified - definition, prevalence, impact, origin, tradeoffs, and solutions

AI-Assisted Programming Decreases the Productivity of Experienced Developers by Increasing the Technical Debt and Maintenance Burden

Online Continual Learning on Intel Loihi 2 via a Co-designed Spiking Neural Network

Incentivizing Consistent, Effective and Scalable Reasoning Capability in Audio LLMs via Reasoning Process Rewards

LHAW: Controllable Underspecification for Long-Horizon Tasks

DeepEye-SQL: A Software-Engineering-Inspired Text-to-SQL Framework

HypoSpace: A Diagnostic Benchmark for Set-Valued Hypothesis Generation under Underdetermination and Sublinear Coverage Bounds

Probabilistic Soundness Guarantees in LLM Reasoning Chains

Bit Allocation Transfer for Perceptual Quality Enhancement of VVC Intra Coding

HatLLM: Hierarchical Attention Masking for Enhanced Collaborative Modeling in LLM-based Recommendation

Code World Models for General Game Playing

Aligning Large Language Models via Fully Self-Synthetic Data

Attribution-by-design: Ensuring Inference-Time Provenance in Generative Music Systems

Community notes reduce engagement with and diffusion of false information online

Behaviors of susceptible-infected epidemics on scale-free networks with identical infectivity

Dark and Bright Patterns in Cookie Consent Requests

Drop-Muon: Update Less, Converge Faster

Agentar-Scale-SQL: Advancing Text-to-SQL through Orchestrated Test-Time Scaling

LOGOS: LLM-driven End-to-End Grounded Theory Development and Schema Induction for Qualitative Research

Takedown: How It's Done in Modern Coding Agent Exploits

Reducing Cost of LLM Agents with Trajectory Reduction

Zero-shot Whole-Body Manipulation with a Large-Scale Soft Robotic Torso via Guided Reinforcement Learning

Flatness is Necessary, Neural Collapse is Not: Rethinking Generalization via Grokking

Circuit realization and hardware linearization of monotone operator equilibrium networks

CompSpoof: A Dataset and Joint Learning Framework for Component-Level Audio Anti-spoofing Countermeasures

Exploring Scaling Laws of CTR Model for Online Performance Improvement

Scoring the Terabit/s Goal:Broadband Connectivity in 6G

Exponential Lindbladian fast forwarding and exponential amplification of certain Gibbs state properties

World-to-Wrist: Task-Conditioned Future Wrist Modeling for Fine-Grained Robot Manipulation

Language Self-Play For Data-Free Training

IGAff: Benchmarking Adversarial Iterative and Genetic Affine Algorithms on Deep Neural Networks

No Thoughts Just AI: Biased LLM Hiring Recommendations Alter Human Decision Making and Limit Human Autonomy

GMOR: A Lightweight Robust Point Cloud Registration Framework via Geometric Maximum Overlapping

Fast globally optimal Truncated Least Squares point cloud registration with fixed rotation axis

DeepPHY: Benchmarking Agentic VLMs on Physical Reasoning

BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining

Modeling Long-term User Behaviors with Diffusion-driven Multi-interest Network for CTR Prediction

SEEA-R1: Tree-Structured Reinforcement Fine-Tuning for Self-Evolving Embodied Agents

HiD-VAE: Interpretable Generative Recommendation via Hierarchical and Disentangled Semantic IDs

Evo-MARL: Co-Evolutionary Multi-Agent Reinforcement Learning for Internalized Safety

DRO-EDL-MPC: Evidential Deep Learning-Based Distributionally Robust Model Predictive Control for Safe Autonomous Driving

Response Attack: Exploiting Contextual Priming to Jailbreak Large Language Models

Towards Initialization-free Calibrated Bundle Adjustment

WildSpeech-Bench: Benchmarking End-to-End SpeechLLMs in the Wild

Intention-Conditioned Flow Occupancy Models

CPAM: Context-Preserving Adaptive Manipulation for Zero-Shot Real Image Editing

Quantum resources in resource management systems

Stationary MMD Points

Beyond RLHF and NLHF: Population-Proportional Alignment under an Axiomatic Framework

SPARTA ALIGNMENT: Collectively Aligning Multiple Language Models through Combat

Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems

MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming

Augmenting Research Ideation with Data: An Empirical Investigation in Social Science

Understanding Transformer from the Perspective of Associative Memory

EGA-V1: Unifying Online Advertising with End-to-End Learning

Automatic Metadata Extraction for Text-to-SQL

Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis

MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions