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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13,261 to 13,320 of 114,419

Role differentiation as ignition of a collective information engine
Maximilian Puelma Touzel
physics.soc-phcs.GTcs.MAarXiv:2609.05442v12026
Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data
Tao Lin, Sai Praneeth Karimireddy, Sebastian U. Stich +1
cs.LGarXiv:2102.04761v22021
Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning
James Chapman, Lennie Wells, Ana Lawry Aguila
cs.LGcs.AIstat.MLarXiv:2310.01012v42023
Beyond Alignment: Value Diversity as a Collective Property in Multicultural Agent Systems
Shaoyang Xu, Jingshen Zhang, Long P. Hoang +2
cs.CLcs.CYarXiv:2606.05985v12026
Robust PAC Learning of Concurrent Stochastic Games
Angel Y. He, David Parker
cs.LGcs.GTcs.LOarXiv:2609.04189v12026
Enhancing LLM Training via Spectral Clipping
Xiaowen Jiang, Andrei Semenov, Sebastian U. Stich
cs.LGmath.OCarXiv:2603.14315v22026
On the sample complexity of the active subspace method
Fabio Nobile, Matteo Raviola, Raúl Tempone
math.NAcs.NAarXiv:2609.08940v12026
Sensing Bone-Conducted Speech with Earbuds
Christoph Weyer, Peter Jax
eess.ASarXiv:2609.02165v12026
What a Model Refuses, a State Fears: How Authoritarian Information Control Reproduces in Language-Model Guardrails
Menglin Liu, Yao Yu, Tong Wu +1
cs.CYarXiv:2609.07507v22026
High-fidelity parallel entangling gates on a neutral atom quantum computer
Simon J. Evered, Dolev Bluvstein, Marcin Kalinowski +12
quant-phcond-mat.quant-gasphysics.atom-pharXiv:2304.05420v12023
GMTS: Gradient Magnitude-based Token Selection Improves RLVR Training for LLM Reasoning
Outongyi Lv, Yuanwei Zhang, Xiaoqun Zhang
cs.CLcs.AIcs.LGarXiv:2608.30632v12026
Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning
Murong Yue, Jie Zhao, Min Zhang +2
cs.CLcs.AIcs.LGarXiv:2310.03094v32023
Intra-Prompt Parallel Decoding for Common-Context Question Answering
Theodore Glavas, Nikhita Vedula, Dushyanta Dhyani +3
cs.CLarXiv:2609.05707v12026
Oculi: A Conversational Agentic Platform for Automated Credit Risk Analysis
Vennise Ho, Kristian Diana, Sandy Mourad +3
cs.AIcs.LGarXiv:2608.28944v12026
IBLTs Measure Before They Decode: Self-Sizing Set Reconciliation from Pre-Peeling Counts
Min Wu, Ji Qi, Chengdui Luo +3
cs.DBcs.DCarXiv:2608.26537v12026
Modular Deep Recurrent Neural Network: Application to Quadrotors
Nima Mohajerin, Steven L. Waslander
cs.LGarXiv:2609.04339v12026
Low-Dimensional and Transversely Curved Optimization Dynamics in Grokking
Yongzhong Xu
cs.LGcs.AIarXiv:2602.16746v32026
QuIP: 2-Bit Quantization of Large Language Models With Guarantees
Jerry Chee, Yaohui Cai, Volodymyr Kuleshov +1
cs.LGcs.CLarXiv:2307.13304v22023
ViSAR: Training-Free Adaptive-$k$ Retrieval for Visual Document Question Answering
Adrien Mialland, Marc Plantevit, Julien Gallois +1
cs.IRcs.AIcs.CLarXiv:2609.02486v12026
There Is More to Refusal in Large Language Models than a Single Direction
Faaiz Joad, Majd Hawasly, Sabri Boughorbel +2
cs.CLarXiv:2602.02132v12026
When Can We Work in Embedding Space? What Text Embeddings Preserve
Simon Freyaldenhoven
econ.EMcs.CLstat.MLarXiv:2608.31059v12026
Near-Field Communications: A Tutorial Review
Yuanwei Liu, Zhaolin Wang, Jiaqi Xu +3
cs.ITeess.SParXiv:2305.17751v32023
Automated Verification and Synthesis of Stochastic Hybrid Systems: A Survey
Abolfazl Lavaei, Sadegh Soudjani, Alessandro Abate +1
cs.LOcs.SYeess.SYarXiv:2101.07491v22021
Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures?
Lisa Wimmer, Yusuf Sale, Paul Hofman +2
cs.LGarXiv:2209.03302v22022
Bottom-up Policy Optimization: Your Language Model Policy Secretly Contains Internal Policies
Yuqiao Tan, Minzheng Wang, Shizhu He +6
cs.LGcs.AIcs.CLarXiv:2512.19673v32025
EmoTra-TTS: Smooth Intra-Utterance Emotion Transitions for Speech Synthesis
Tianchi Liu, Zeyang Song, Tianrui Wang +3
eess.AScs.AIarXiv:2608.23791v12026
Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer
Wenrui Zhang, Ling Yang, Shijia Geng +1
cs.LGarXiv:2205.09928v22022
B$^3$-PWL: GPU-Batched Branch-and-Bound for Piecewise-Linear Optimization with SOS2 Constraints
Yilin Guan, Shuqing Luo, Pingzhi Li +2
math.OCcs.DCarXiv:2608.28988v12026
The concentration game: Bayesian updating, regret, and information
Akshay Balsubramani
cs.LGcs.GTmath.PRarXiv:2608.18061v12026
Thinking Sparks!: Emergent Attention Heads in Reasoning Models During Post Training
Yein Park, Minbyul Jeong, Jaewoo Kang
cs.AIarXiv:2509.25758v22025
Stochastic Estimation of Transduced Language Models
Vésteinn Snæbjarnarson, Samuel Kiegeland, Manuel de Prada Corral +2
cs.CLarXiv:2608.27428v12026
Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance
Jingwei Zuo, Maksim Velikanov, Ilyas Chahed +24
cs.CLarXiv:2507.22448v12025
AI-Generated Incentive Mechanism and Full-Duplex Semantic Communications for Information Sharing
Hongyang Du, Jiacheng Wang, Dusit Niyato +3
eess.SParXiv:2303.01896v22023
It depends: Incorporating correlations for joint aleatoric and epistemic uncertainties of high-dimensional output spaces
Leonhard F. Feiner, Manuel Nickel, Martin Menten +6
cs.LGcs.CVarXiv:2608.24518v12026
Unifying Physical Backpropagation
Cyrill Bösch, Yigithan Gediz, Clara C. Wanjura +1
cond-mat.dis-nncs.ETcs.LGarXiv:2608.11585v22026
Constraints Preserving Lax-Wendroff Flux Reconstruction for Relativistic Hydrodynamics with General Equations of State
Sujoy Basak, Arpit Babbar, Harish Kumar +1
math.NAgr-qcarXiv:2505.05128v32025
Self- and Other-Labels Induce Bidirectional Bias in LLM Judges
Songeun Chae, Min Kim, Donghoon Jung +2
cs.CLcs.AIarXiv:2608.18091v12026
Vine Codes: Low-Overhead Quantum LDPC Codes on a Planar Square Grid
Georgia M. Nixon, Campbell K. McLauchlan, Charles C. L. van Rest
quant-phcond-mat.str-elarXiv:2606.20263v12026
Secret-Stego Dissimilarity as a Design Axis: Invertible Coverless Image Steganography with Diffusion Models
Hongxin Xu, Jianping Mei, Can Wang +1
eess.IVcs.AIcs.CRarXiv:2608.13597v12026
BACON: Band-limited Coordinate Networks for Multiscale Scene Representation
David B. Lindell, Dave Van Veen, Jeong Joon Park +1
cs.CVcs.GRcs.LGarXiv:2112.04645v22021
The FID Lottery: Quantifying Hidden Randomness in Generative-Model Evaluation
Nicolas Dufour, Alexei A. Efros, Patrick Pérez
cs.CVarXiv:2606.20536v12026
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design
Zhi Zheng, Zhuoliang Xie, Zhenkun Wang +1
cs.AIarXiv:2501.08603v32025
NOMA-Aided Joint Radar and Multicast-Unicast Communication Systems
Xidong Mu, Yuanwei Liu, Li Guo +2
cs.ITeess.SPmath.ITarXiv:2110.02372v22021
CARD: Classification and Regression Diffusion Models
Xizewen Han, Huangjie Zheng, Mingyuan Zhou
stat.MLcs.LGstat.COarXiv:2206.07275v42022
Improved large-scale graph learning through ridge spectral sparsification
Daniele Calandriello, Ioannis Koutis, Alessandro Lazaric +1
cs.LGstat.MLarXiv:2604.20078v12026
Rebellious Student: Reversing Teacher Signals for Reasoning Exploration with Self-Distilled RLVR
Jeonghye Kim, Jiwon Jeon, Dongsheng Li +1
cs.LGcs.CLarXiv:2605.10781v12026
Lost in Stories: Consistency Bugs in Long Story Generation by LLMs
Junjie Li, Xinrui Guo, Yuhao Wu +3
cs.CLcs.AIarXiv:2603.05890v12026
AdaFace: Quality Adaptive Margin for Face Recognition
Minchul Kim, Anil K. Jain, Xiaoming Liu
cs.CVarXiv:2204.00964v22022
Computing with many encoded logical qubits beyond break-even
Shival Dasu, Matthew DeCross, Andrew Y. Guo +42
quant-pharXiv:2602.22211v12026
Programming Refusal with Conditional Activation Steering
Bruce W. Lee, Inkit Padhi, Karthikeyan Natesan Ramamurthy +4
cs.LGcs.AIcs.CLarXiv:2409.05907v32024
Asymptotically Optimal Circuit Depth for Quantum State Preparation and General Unitary Synthesis
Xiaoming Sun, Guojing Tian, Shuai Yang +2
quant-pharXiv:2108.06150v32021
Latent Matters: Learning Deep State-Space Models
Alexej Klushyn, Richard Kurle, Maximilian Soelch +2
cs.LGarXiv:2602.23050v22026
Few-Step Diffusion Language Models via Trajectory Self-Distillation
Tunyu Zhang, Xinxi Zhang, Ligong Han +10
cs.CLcs.LGarXiv:2602.12262v42026
The Complexity of Constrained Min-Max Optimization
Constantinos Daskalakis, Stratis Skoulakis, Manolis Zampetakis
cs.CCcs.LGmath.OCarXiv:2009.09623v12020
Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning
Daniel Kunin, Allan Raventós, Clémentine Dominé +4
cs.LGcs.AIstat.MLarXiv:2406.06158v22024
LLM-42: Enabling Determinism in LLM Inference with Verified Speculation
Raja Gond, Aditya K Kamath, Ramachandran Ramjee +1
cs.LGcs.AIcs.DCarXiv:2601.17768v22026
Stability and error analysis of fully discrete original energy-dissipative and length-preserving scheme for the Landau-Lifshitz-Gilbert equation
Binghong Li, Xiaoli Li, Cheng Wang +1
math.NAarXiv:2602.07571v32026
Diagnosing Barren Plateaus with Tools from Quantum Optimal Control
Martin Larocca, Piotr Czarnik, Kunal Sharma +3
quant-pharXiv:2105.14377v32021
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization
Samuel Hurault, Arthur Leclaire, Nicolas Papadakis
math.OCcs.CVarXiv:2201.13256v42022
The effect of data encoding on the expressive power of variational quantum machine learning models
Maria Schuld, Ryan Sweke, Johannes Jakob Meyer
quant-phstat.MLarXiv:2008.08605v22020

Every paper with a summary

Role differentiation as ignition of a collective information engine

Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data

Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning

Beyond Alignment: Value Diversity as a Collective Property in Multicultural Agent Systems

Robust PAC Learning of Concurrent Stochastic Games

Enhancing LLM Training via Spectral Clipping

On the sample complexity of the active subspace method

Sensing Bone-Conducted Speech with Earbuds

What a Model Refuses, a State Fears: How Authoritarian Information Control Reproduces in Language-Model Guardrails

High-fidelity parallel entangling gates on a neutral atom quantum computer

GMTS: Gradient Magnitude-based Token Selection Improves RLVR Training for LLM Reasoning

Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning

Intra-Prompt Parallel Decoding for Common-Context Question Answering

Oculi: A Conversational Agentic Platform for Automated Credit Risk Analysis

IBLTs Measure Before They Decode: Self-Sizing Set Reconciliation from Pre-Peeling Counts

Modular Deep Recurrent Neural Network: Application to Quadrotors

Low-Dimensional and Transversely Curved Optimization Dynamics in Grokking

QuIP: 2-Bit Quantization of Large Language Models With Guarantees

ViSAR: Training-Free Adaptive-$k$ Retrieval for Visual Document Question Answering

There Is More to Refusal in Large Language Models than a Single Direction

When Can We Work in Embedding Space? What Text Embeddings Preserve

Near-Field Communications: A Tutorial Review

Automated Verification and Synthesis of Stochastic Hybrid Systems: A Survey

Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures?

Bottom-up Policy Optimization: Your Language Model Policy Secretly Contains Internal Policies

EmoTra-TTS: Smooth Intra-Utterance Emotion Transitions for Speech Synthesis

Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer

B$^3$-PWL: GPU-Batched Branch-and-Bound for Piecewise-Linear Optimization with SOS2 Constraints

The concentration game: Bayesian updating, regret, and information

Thinking Sparks!: Emergent Attention Heads in Reasoning Models During Post Training

Stochastic Estimation of Transduced Language Models

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

AI-Generated Incentive Mechanism and Full-Duplex Semantic Communications for Information Sharing

It depends: Incorporating correlations for joint aleatoric and epistemic uncertainties of high-dimensional output spaces

Unifying Physical Backpropagation

Constraints Preserving Lax-Wendroff Flux Reconstruction for Relativistic Hydrodynamics with General Equations of State

Self- and Other-Labels Induce Bidirectional Bias in LLM Judges

Vine Codes: Low-Overhead Quantum LDPC Codes on a Planar Square Grid

Secret-Stego Dissimilarity as a Design Axis: Invertible Coverless Image Steganography with Diffusion Models

BACON: Band-limited Coordinate Networks for Multiscale Scene Representation

The FID Lottery: Quantifying Hidden Randomness in Generative-Model Evaluation

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

NOMA-Aided Joint Radar and Multicast-Unicast Communication Systems

CARD: Classification and Regression Diffusion Models

Improved large-scale graph learning through ridge spectral sparsification

Rebellious Student: Reversing Teacher Signals for Reasoning Exploration with Self-Distilled RLVR

Lost in Stories: Consistency Bugs in Long Story Generation by LLMs

AdaFace: Quality Adaptive Margin for Face Recognition

Computing with many encoded logical qubits beyond break-even

Programming Refusal with Conditional Activation Steering

Asymptotically Optimal Circuit Depth for Quantum State Preparation and General Unitary Synthesis

Latent Matters: Learning Deep State-Space Models

Few-Step Diffusion Language Models via Trajectory Self-Distillation

The Complexity of Constrained Min-Max Optimization

Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning

LLM-42: Enabling Determinism in LLM Inference with Verified Speculation

Stability and error analysis of fully discrete original energy-dissipative and length-preserving scheme for the Landau-Lifshitz-Gilbert equation

Diagnosing Barren Plateaus with Tools from Quantum Optimal Control

Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization

The effect of data encoding on the expressive power of variational quantum machine learning models