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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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61 to 120 of 90,393

Large Binocular Telescope Adaptive Optics System: New achievements and perspectives in adaptive optics
Simone Esposito, Armando Riccardi, Enrico Pinna +15
astro-ph.IMarXiv:1203.2761v12012
Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning
Egor Cherepanov, Nikita Kachaev, Alexey K. Kovalev +1
cs.LGcs.AIcs.ROarXiv:2502.10550v32025
Rationally Linearized MLPs
Arijit Sehanobish, Byeongchan Kim, Avinava Dubey +2
cs.LGarXiv:2610.13568v12026
EviRepair: Evidence-Driven Agents for Reliable Vulnerability Repair
Yilian Shi, Qingyu Liu, Tianyi Zhou +5
cs.CRarXiv:2610.13491v12026
Convolutional Neural Networks For Automatic State-Time Feature Extraction in Reinforcement Learning Applied to Residential Load Control
Bert J. Claessens, Peter Vrancx, Frederik Ruelens
cs.LGcs.SYeess.SYarXiv:1604.08382v22016
The Distortion of Threshold Approval Multiwinner Voting
Mohamad Latifian, Marzieh Nilipour, Alexandros A. Voudouris
cs.GTarXiv:2610.13725v12026
An application of incomplete pairwise comparison matrices for ranking top tennis players
Sándor Bozóki, László Csató, József Temesi
cs.AIcs.GTstat.AParXiv:1611.00538v12016
Zeros of the Spectrogram of White Noise with Hermite Windows
Charaf Bellourak, Sylvain Meignen, Kévin Polisano +1
math.PReess.SParXiv:2610.13531v12026
DebtRank-transparency: Controlling systemic risk in financial networks
Stefan Thurner, Sebastian Poledna
q-fin.RMphysics.soc-pharXiv:1301.6115v12013
What Should SFT Learn? Conditional Information Gain for Generalizable Post-Training
Yuxuan Gu, Kequan Niu, Xiaocheng Feng +3
cs.CLcs.AIcs.LGarXiv:2610.12995v12026
Basic circuit compilation techniques for an ion-trap quantum machine
Dmitri Maslov
quant-phcs.ETarXiv:1603.07678v42016
Majority Vote of Diverse Classifiers for Late Fusion
Emilie Morvant, Amaury Habrard, Stéphane Ayache
stat.MLcs.LGcs.MMarXiv:1404.7796v22014
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees
Alexia Jolicoeur-Martineau, Kilian Fatras, Tal Kachman
cs.LGarXiv:2309.09968v32023
An Energy Stable BDF2 Fourier Pseudo-Spectral Numerical Scheme for the Square Phase Field Crystal Equation
Kelong Cheng, Cheng Wang, Steven M. Wise
math.NAcs.NAnlin.PSarXiv:1906.12255v12019
Humanize Olympiad Agents: A Multi-Session Workflow for Olympiad Problem Solving with Solve, Review, Wiki, Verify
Zhengyang Zhang, Jing Xiong, Hongzhou Lin +5
cs.AIarXiv:2610.13632v12026
Clustering in graphs and hypergraphs with categorical edge labels
Ilya Amburg, Nate Veldt, Austin R. Benson
cs.SIcs.LGphysics.soc-pharXiv:1910.09943v22019
QTestBench: A Test Framework for Evaluating LLM-Generated Quantum Code
Meriem Terki, Nouhaila Innan, Minghao Shao +3
cs.LGcs.CLquant-pharXiv:2610.13811v12026
Retractions Revisited: A Replication, Extension, and Mechanistic Evaluation of Linguistic Obfuscation Effects in Fraudulent Science
David M. Markowitz
cs.CLarXiv:2610.13678v12026
A Comparative Study of Bug Algorithms for Robot Navigation
Kimberly McGuire, Guido de Croon, Karl Tuyls
cs.ROarXiv:1808.05050v22018
Diffusion Precipitation Generation with Medium-range Weather Forecasting
Guowen Li, Yang Liu, Mengxuan Chen +11
cs.LGarXiv:2610.12976v12026
Graph Dynamical Networks for Unsupervised Learning of Atomic Scale Dynamics in Materials
Tian Xie, Arthur France-Lanord, Yanming Wang +2
cond-mat.mtrl-scics.LGphysics.chem-pharXiv:1902.06836v22019
A Novel Consensus-based Distributed Algorithm for Economic Dispatch Based on Local Estimation of Power Mismatch
Hajir Pourbabak, Jingwei Luo, Tao Chen +1
math.OCarXiv:1708.06803v22017
Humanize MLE Agents: Multi-Agent Session Alternation Beyond Single-Agent Limits
Changye Li, Zijian Zhang, Muheng Li +12
cs.AIarXiv:2610.13494v12026
CronusVLA: Towards Efficient and Robust Manipulation via Multi-Frame Vision-Language-Action Modeling
Hao Li, Shuai Yang, Yilun Chen +8
cs.ROcs.CVarXiv:2506.19816v22025
HAMLET: Switch your Vision-Language-Action Model into a History-Aware Policy
Myungkyu Koo, Daewon Choi, Taeyoung Kim +4
cs.ROcs.CVarXiv:2510.00695v32025
Inducing Structure in Reward Learning by Learning Features
Andreea Bobu, Marius Wiggert, Claire Tomlin +1
cs.ROcs.AIcs.HCarXiv:2201.07082v12022
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model
Chenlu Ye, Wei Xiong, Yuheng Zhang +3
cs.LGstat.MLarXiv:2402.07314v32024
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
Thomas Anthony, Tom Eccles, Andrea Tacchetti +11
cs.LGcs.AIcs.GTarXiv:2006.04635v42020
SafeDreamer: Safe Reinforcement Learning with World Models
Weidong Huang, Jiaming Ji, Chunhe Xia +2
cs.LGcs.AIcs.CVarXiv:2307.07176v32023
Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections
Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac +2
cs.ROcs.AIcs.HCarXiv:2002.00941v22020
What Matters in Building Vision-Language-Action Models for Generalist Robots
Xinghang Li, Peiyan Li, Long Qian +10
cs.ROcs.CVarXiv:2412.14058v42024
Provable Benefits of Policy Learning from Human Preferences in Contextual Bandit Problems
Xiang Ji, Huazheng Wang, Minshuo Chen +2
cs.LGmath.STstat.MLarXiv:2307.12975v22023
Say NO to Optimization: A Non-Orthogonal Quantum Eigensolver
Unpil Baek, Diptarka Hait, James Shee +5
quant-phcond-mat.str-elphysics.chem-pharXiv:2205.09039v12022
WorldMAP: Bootstrapping Vision-Language Navigation Trajectory Prediction with Generative World Models
Hongjin Chen, Shangyun Jiang, Tonghua Su +4
cs.AIcs.CVcs.ROarXiv:2604.07957v12026
ImagiNav: Scalable Embodied Navigation via Generative Visual Prediction and Inverse Dynamics
Jie Chen, Yuxin Cai, Yizhuo Wang +5
cs.ROarXiv:2603.13833v22026
Weak Human Preference Supervision For Deep Reinforcement Learning
Zehong Cao, KaiChiu Wong, Chin-Teng Lin
cs.AIarXiv:2007.12904v22020
Subset Sum and Integer Programming Feasibility Test in Near-Optimal Time
Lin Chen, Yuchen Mao, Guochuan Zhang
cs.DSarXiv:2610.12953v12026
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks
Mikkel Jordahn, Pablo M. Olmos
cs.LGstat.MLarXiv:2405.01196v32024
A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review
Adam Bignold, Francisco Cruz, Matthew E. Taylor +4
cs.AIcs.LGcs.MAarXiv:2007.01544v22020
SIRL: Similarity-based Implicit Representation Learning
Andreea Bobu, Yi Liu, Rohin Shah +2
cs.ROcs.AIcs.HCarXiv:2301.00810v32023
Human irrationality: both bad and good for reward inference
Lawrence Chan, Andrew Critch, Anca Dragan
cs.LGarXiv:2111.06956v12021
Why Gaussian Diffusion Models Fail on Discrete Data and How to Prevent It?
Alexander Shabalin, Simon Elistratov, Viacheslav Meshchaninov +2
cs.CLarXiv:2604.02028v22026
Pre-optimizing variational quantum eigensolvers with tensor networks
Abid Khan, Bryan K. Clark, Norm M. Tubman
quant-phcond-mat.str-elarXiv:2310.12965v12023
Versatile Behavior Diffusion for Generalized Traffic Agent Simulation
Zhiyu Huang, Zixu Zhang, Ameya Vaidya +3
cs.ROarXiv:2404.02524v32024
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences
Daniel S. Brown, Russell Coleman, Ravi Srinivasan +1
cs.LGstat.MLarXiv:2002.09089v42020
How to Train Your Latent Diffusion Language Model Jointly With the Latent Space
Viacheslav Meshchaninov, Alexander Shabalin, Egor Chimbulatov +4
cs.CLarXiv:2605.07933v12026
A Generalized Acquisition Function for Preference-based Reward Learning
Evan Ellis, Gaurav R. Ghosal, Stuart J. Russell +2
cs.ROcs.AIcs.LGarXiv:2403.06003v12024
Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
Hritik Bansal, John Dang, Aditya Grover
cs.LGcs.AIcs.CLarXiv:2308.15812v32023
Critique-out-Loud Reward Models
Zachary Ankner, Mansheej Paul, Brandon Cui +2
cs.LGarXiv:2408.11791v12024
Quantum Semi-Supervised Learning with Quantum Supremacy
Zhou Shangnan
quant-phcond-mat.stat-mechcs.ITarXiv:2110.02343v42021
3D printed architected lattice structures by material jetting
Samantha Mora, Nicola M. Pugno, Diego Misseroni
cs.CEarXiv:2301.12634v12023
Improving Reward Models with Synthetic Critiques
Zihuiwen Ye, Fraser Greenlee-Scott, Max Bartolo +3
cs.CLarXiv:2405.20850v22024
The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learning
Wenqian Ye, Luyang Jiang, Eric Xie +16
cs.LGarXiv:2402.12715v42024
The Stochastic Shift: A New Evaluation Paradigm for Text-to-SQL with AI Operators
Tarfah Alrashed, Fatma Ozcan, Per Jacobsson +2
cs.DBcs.AIarXiv:2609.21133v12026
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability
Chuning Zhu, Max Simchowitz, Siri Gadipudi +1
cs.LGcs.AIcs.ROarXiv:2309.00082v22023
Orthros: Phase-Aware Heterogeneous Attention for Efficient Transformers
Yuhong Chou, Zehao Liu, Yuqi Pan +4
cs.LGcs.AIarXiv:2610.13735v12026
Exact Solution Techniques for Two-dimensional Cutting and Packing
Manuel Iori, Vinícius L. de Lima, Silvano Martello +2
math.OCmath.COarXiv:2004.12619v12020
E3-System: Expressive EmoData, Explicitly Controllable, Easy-to-Use TTS
Yiqiao Huang, Xiaolong Lin, Zhenpeng Zhan +1
eess.AScs.SDarXiv:2610.12993v12026
When MLLMs miss what humans read: diagnosing and learning to read squint text
Chen Peng, Shan Huang, Jianbo Huang +3
cs.CVcs.AIarXiv:2610.13465v12026
VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting
Juyi Lin, Amir Taherin, Arash Akbari +11
cs.CVcs.AIcs.ROarXiv:2507.05116v52025

Every paper with a summary

Large Binocular Telescope Adaptive Optics System: New achievements and perspectives in adaptive optics

Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning

Rationally Linearized MLPs

EviRepair: Evidence-Driven Agents for Reliable Vulnerability Repair

Convolutional Neural Networks For Automatic State-Time Feature Extraction in Reinforcement Learning Applied to Residential Load Control

The Distortion of Threshold Approval Multiwinner Voting

An application of incomplete pairwise comparison matrices for ranking top tennis players

Zeros of the Spectrogram of White Noise with Hermite Windows

DebtRank-transparency: Controlling systemic risk in financial networks

What Should SFT Learn? Conditional Information Gain for Generalizable Post-Training

Basic circuit compilation techniques for an ion-trap quantum machine

Majority Vote of Diverse Classifiers for Late Fusion

Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees

An Energy Stable BDF2 Fourier Pseudo-Spectral Numerical Scheme for the Square Phase Field Crystal Equation

Humanize Olympiad Agents: A Multi-Session Workflow for Olympiad Problem Solving with Solve, Review, Wiki, Verify

Clustering in graphs and hypergraphs with categorical edge labels

QTestBench: A Test Framework for Evaluating LLM-Generated Quantum Code

Retractions Revisited: A Replication, Extension, and Mechanistic Evaluation of Linguistic Obfuscation Effects in Fraudulent Science

A Comparative Study of Bug Algorithms for Robot Navigation

Diffusion Precipitation Generation with Medium-range Weather Forecasting

Graph Dynamical Networks for Unsupervised Learning of Atomic Scale Dynamics in Materials

A Novel Consensus-based Distributed Algorithm for Economic Dispatch Based on Local Estimation of Power Mismatch

Humanize MLE Agents: Multi-Agent Session Alternation Beyond Single-Agent Limits

CronusVLA: Towards Efficient and Robust Manipulation via Multi-Frame Vision-Language-Action Modeling

HAMLET: Switch your Vision-Language-Action Model into a History-Aware Policy

Inducing Structure in Reward Learning by Learning Features

Online Iterative Reinforcement Learning from Human Feedback with General Preference Model

Learning to Play No-Press Diplomacy with Best Response Policy Iteration

SafeDreamer: Safe Reinforcement Learning with World Models

Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections

What Matters in Building Vision-Language-Action Models for Generalist Robots

Provable Benefits of Policy Learning from Human Preferences in Contextual Bandit Problems

Say NO to Optimization: A Non-Orthogonal Quantum Eigensolver

WorldMAP: Bootstrapping Vision-Language Navigation Trajectory Prediction with Generative World Models

ImagiNav: Scalable Embodied Navigation via Generative Visual Prediction and Inverse Dynamics

Weak Human Preference Supervision For Deep Reinforcement Learning

Subset Sum and Integer Programming Feasibility Test in Near-Optimal Time

Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks

A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review

SIRL: Similarity-based Implicit Representation Learning

Human irrationality: both bad and good for reward inference

Why Gaussian Diffusion Models Fail on Discrete Data and How to Prevent It?

Pre-optimizing variational quantum eigensolvers with tensor networks

Versatile Behavior Diffusion for Generalized Traffic Agent Simulation

Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences

How to Train Your Latent Diffusion Language Model Jointly With the Latent Space

A Generalized Acquisition Function for Preference-based Reward Learning

Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models

Critique-out-Loud Reward Models

Quantum Semi-Supervised Learning with Quantum Supremacy

3D printed architected lattice structures by material jetting

Improving Reward Models with Synthetic Critiques

The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learning

The Stochastic Shift: A New Evaluation Paradigm for Text-to-SQL with AI Operators

RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability

Orthros: Phase-Aware Heterogeneous Attention for Efficient Transformers

Exact Solution Techniques for Two-dimensional Cutting and Packing

E3-System: Expressive EmoData, Explicitly Controllable, Easy-to-Use TTS

When MLLMs miss what humans read: diagnosing and learning to read squint text

VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting