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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3,841 to 3,900 of 117,280

ThinkJev: One Thought, Every Budget for Calibrated Typed Decisions
Xiaolu Ding, Kai Yang, Dongdong Liu
cs.AIcs.CLcs.LGarXiv:2610.37732v12026
SciGame: Let Agents Play the Scientific Discovery Games in the Real and Counterfactual World
Yusheng Zhao, Bowei He, Xue Liu +1
cs.AIcs.CLarXiv:2610.37919v12026
CoEvoke: Evoking Multi-Agent Collaboration for Trajectory Collection
Lin Wu, Shu Yao, Yuheng Wang +11
cs.LGcs.AIcs.MAarXiv:2610.14021v12026
Barycentric Anchored Weight Search for Robust Model Merging
Antoni Buades, Jose-Luis Lisani
cs.LGcs.AIcs.CVarXiv:2610.14017v12026
Bias Robustness of Genetic Multi-Criteria Sorting versus Learned Rankers under Proxy Skew and Label Contamination
Vladyslav Shevchuk, Carlos Uziel Pérez Malla, Philipp Wissgott
cs.NEcs.AIcs.LGarXiv:2610.14015v12026
Physics-Informed State Space Models for Day-Ahead Photovoltaic Power Forecasting
Phil Aupke, Muhammad Hassan, Khalid Ali +3
cs.LGcs.AIarXiv:2610.14014v12026
Towards Generalizing Pretrained All-Atom Representations to Unified Binder Design
Maojiang Su, Jiale Chen, Qijie Zhu +6
cs.LGcs.AIarXiv:2610.37994v12026
MATE: Multi-view Attention for Table Transformer Efficiency
Julian Martin Eisenschlos, Maharshi Gor, Thomas Müller +1
cs.CLcs.AIcs.IRarXiv:2109.04312v12021
A Discrete Choice Framework for Modeling and Forecasting The Adoption and Diffusion of New Transportation Services
Feras El Zarwi, Akshay Vij, Joan Walker
stat.AParXiv:1707.07379v12017
Invert to Learn to Invert
Patrick Putzky, Max Welling
cs.LGstat.MLarXiv:1911.10914v12019
Seq@K: Evaluating Language Models Under Sequential Feedback
Thomson Yen, Gilbert Yang, Naimeng Ye +8
cs.AIarXiv:2610.37859v12026
Lipschitz and Comparator-Norm Adaptivity in Online Learning
Zakaria Mhammedi, Wouter M. Koolen
cs.LGstat.MLarXiv:2002.12242v22020
JoyAI-Voice 2.0: A Full-Continuous Autoregressive Speech Generation Model with Semantic-Acoustic Joint Representation
Yafeng Chen, Boya Dong, Yankun Huang +17
cs.SDcs.AIeess.ASarXiv:2610.08834v12026
Variational Implicit Processes
Chao Ma, Yingzhen Li, José Miguel Hernández-Lobato
stat.MLcs.LGarXiv:1806.02390v22018
Heterogeneous Information Network Embedding for Meta Path based Proximity
Zhipeng Huang, Nikos Mamoulis
cs.AIarXiv:1701.05291v12017
SatOps-Decision: Low-Latency Discriminative Decisions for Onboard Satellite Communication Operations
Lifan Mei, Yuxuan Li, Jiaxian Tu +1
cs.LGcs.AIcs.NIarXiv:2610.38697v12026
Sign Language Production: A Review
Razieh Rastgoo, Kourosh Kiani, Sergio Escalera +1
cs.CVarXiv:2103.15910v12021
AtomTree: A Hierarchical Framework for State-Aware Embodied Instruction Following with LLMs
Haotian Zhai, Tianming Sha, Junnan Li
cs.ROcs.AIcs.CLarXiv:2610.38744v12026
inkGround: Benchmarking Fine-grained Visual Grounding Capabilities of Vision-Language Models for Cursive Handwriting in the Wild
Sidra Hanif
cs.CVcs.AIarXiv:2610.38720v12026
LIFT: A Lifecycle-aware Interaction Factorization Transformer for Unified Retrieval and Ranking
Keji Miao, Enhao Cheng, Yan Li +4
cs.IRarXiv:2610.10556v12026
Maintaining Human Verification Capacity under Automation
Li Gan, Eric Gan
econ.GNcs.CYq-fin.ECarXiv:2609.38459v12026
SaiVLA-JEPA: Evaluating Future Latent Prediction in JEPA-Conditioned VLA Control
Rufeng Xiao, Ruihao Xiao, Wei Chen +1
cs.ROcs.AIarXiv:2610.38508v12026
The Mathematical Foundations for Mapping Policies to Network Devices (Technical Report)
Dinesha Ranathunga, Matthew Roughan, Phil Kernick +1
cs.CRarXiv:1605.09115v12016
Leveraging LLM-Generated Explanations for Detecting Emotionally Rewritten Fake News
Yupei Guo, Jiajun He, Xiaohan Shi +4
cs.CLcs.AIarXiv:2610.08835v22026
DIBench: Benchmarking Decision Integrity of GUI-based Mobile Agents Under Deceptive Injections
Li Hu, Kanghua Mo, Yingbin Jin +2
cs.CRcs.MAarXiv:2610.06898v12026
Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake News
Luís Borges, Bruno Martins, Pável Calado
cs.LGcs.IRstat.MLarXiv:1811.00706v12018
A Case Study of a Multi-Agent Kernel-Optimization Loop That Learns a New AI Accelerator
Byonggon Chun
cs.LGcs.AIcs.ARarXiv:2610.38329v12026
Data-driven cardiovascular flow modeling: examples and opportunities
Amirhossein Arzani, Scott T. M. Dawson
physics.comp-phphysics.flu-dynarXiv:2010.00131v22020
Calculation and rejection diverge in language models tested at known mechanical limits
Shaoliang Yang, Jun Wang
cs.CEcs.AIcs.CLarXiv:2610.38096v12026
The Indian Financial Automated Advice Bias (IFAAB) Dataset : Auditing Socioeconomic and Demographic Disparities in LLM-Generated Financial Advice in India
Kriti Mahajan
cs.CYcs.AIarXiv:2610.38239v12026
A Bifurcation-Based Domain Decomposition Method with Neural Operators for Blood Flow Simulation
Yuzhou Zhao, Han Zhang, J. Matias Di Martino +2
cs.CEphysics.comp-pharXiv:2610.02238v22026
Beauty Is Human: When People Love AI-Generated Art, They Think a Human Made It
Zihan Chen, Di Zhu, Lei Nico Zheng
cs.HCcs.AIcs.CYarXiv:2610.38113v12026
Hardware-Native Joint Sparse-Quantization for Trillion-Scale Mixture-of-Experts
Kwanhee Lee, Namhoon Lee, Dan Alistarh
cs.ARcs.AIcs.LGarXiv:2610.02241v12026
RxnOptBench: Benchmarking LLMs for Reaction-Condition Optimization in Organic Methodology
Lingli Ge, Yubin Wang, Junyuan Gao +9
physics.chem-phcs.AIarXiv:2610.02242v12026
Real-World Repetition Estimation by Div, Grad and Curl
Tom F. H. Runia, Cees G. M. Snoek, Arnold W. M. Smeulders
cs.CVarXiv:1802.09971v12018
Context Compaction for World Models
Hayder Tirmazi
cs.AIarXiv:2610.38980v12026
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions
David Bruggemann, Christos Sakaridis, Prune Truong +1
cs.CVarXiv:2207.06825v32022
Curriculum-Based Deep Reinforcement Learning for Robust Autonomous Rocket Landing under Atmospheric Uncertainty
Atin Chowdhury, Piyush Joshi
cs.AIarXiv:2610.38636v12026
The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector
Aiden Durrant, Milan Markovic, David Matthews +3
cs.LGcs.CRarXiv:2104.07468v22021
Calibrating the Checksum: An Empirical False-Positive Bound for One-Sided ABFT on bfloat16 GEMM, and What It Fails to Catch
Gautam Khosla
cs.ARcs.DCarXiv:2610.02240v12026
Becoming Suspicious Across Borders: Algorithmic Extraterritoriality and AI-Driven Financial Surveillance
Georgios Pavlidis, Savvas Chatzichristofis, Eleni Gavriil
cs.AIarXiv:2610.03425v12026
Artificial Intelligence and Machine Learning for Quantum Technologies
Mario Krenn, Jonas Landgraf, Thomas Foesel +1
quant-phcs.AIcs.LGarXiv:2208.03836v12022
GARDEN: Generalist Autonomous Reward Design Through Evidence Navigation for Cooperative Multi-Agent Reinforcement Learning
Dogan Urgun
cs.AIcs.MAcs.SYarXiv:2610.37926v12026
UnifiedAttack: Evaluating the Safety of Large Multimodal Models in Synergistic Harmful Image-Text Generation
Bingjun Luo, Jialin Guo, Tony Wang +1
cs.CRcs.CVarXiv:2610.00341v12026
From Error Prediction to Causal Influence: Auditing SAE Features in Multiple-Choice QA
Aria Nourbakhsh, Adelaide Danilov, Oleksandr Marchenko Breneur +1
cs.CLcs.AIarXiv:2610.38067v12026
DES-JEPA: Learning a Shared Vocabulary for High-Dimensional Discrete Event Sequences
Hugo Math, Maximilian Forstenhäusler, Christos Anagnostopoulos
cs.AIarXiv:2610.38445v12026
Online Object Tracking, Learning and Parsing with And-Or Graphs
Tianfu Wu, Yang Lu, Song-Chun Zhu
cs.CVcs.LGarXiv:1509.08067v62015
Non-Commutative Lie-Algebraic State-Space Models: Finite-Division Variety Laws, Semidirect Cascades, and Gradient Saddle Escape
Zeyu Jia
cs.LGarXiv:2610.00329v42026
Retrospective Open-Vocabulary Memory for Long-Term Object Search
Jiaming Wang, Zhiwei Xue, Chen Jizhuo +2
cs.ROcs.CVarXiv:2610.00330v22026
Learning the Multiple Traveling Salesmen Problem with Permutation Invariant Pooling Networks
Yoav Kaempfer, Lior Wolf
cs.LGstat.MLarXiv:1803.09621v22018
Interpretable Feature Discovery from Unstructured Data Using LLMs and Statistical Choice Models
Baptiste Arnaudo, Amine Bennouna, Sébastien Martin
stat.MLcs.AIcs.LGarXiv:2610.38082v12026
Bellman-Certified Rounding for Sparse Policy Deployment in MDPs
Zhaojun Peng
cs.LGarXiv:2610.00325v12026
A Powerful Generative Model Using Random Weights for the Deep Image Representation
Kun He, Yan Wang, John Hopcroft
cs.CVcs.LGcs.NEarXiv:1606.04801v22016
Approaching the Computational Color Constancy as a Classification Problem through Deep Learning
Seoung Wug Oh, Seon Joo Kim
cs.CVarXiv:1608.07951v12016
Authorization for Self-Modifying AI Agent Populations: Conserving Authority across Replacement, Forking, and Rollback
Genliang Zhu, Chu Wang
cs.CRcs.AIarXiv:2610.00347v12026
Statistical Detection of Positional Bias in LLM-Based Recommender Systems: Methodologies and Empirical Evidence
Carlos Peláez-González, Francisco Herrera, Andrés Herrera-Poyatos
cs.IRcs.AIarXiv:2610.37962v12026
Adaptive Gradient Quantization for Data-Parallel SGD
Fartash Faghri, Iman Tabrizian, Ilia Markov +3
cs.LGstat.MLarXiv:2010.12460v12020
DriftOPD: Sequence-Level Reverse-KL Distillation for One-Step VLA Policies
Youngjun Jun, Kyumin Choi, Youngmin Kim +4
cs.ROcs.AIcs.CVarXiv:2610.00317v12026
Self-Supervised Latent Action-Conditioned World Modeling for Time Series
Chia-Han Kuo, Chengshuai Zhao, Huan Liu +1
cs.LGcs.AIarXiv:2610.37963v12026
Beyond Pixel Reconstruction: Retrieval-Guided Glyph-Aware Restoration for Low-Resource Manchu Historical Documents
Ting Huang, Dongdong Wang, Mingqiu Liang +1
cs.CVcs.AIcs.LGarXiv:2610.00315v12026

Every paper with a summary

ThinkJev: One Thought, Every Budget for Calibrated Typed Decisions

SciGame: Let Agents Play the Scientific Discovery Games in the Real and Counterfactual World

CoEvoke: Evoking Multi-Agent Collaboration for Trajectory Collection

Barycentric Anchored Weight Search for Robust Model Merging

Bias Robustness of Genetic Multi-Criteria Sorting versus Learned Rankers under Proxy Skew and Label Contamination

Physics-Informed State Space Models for Day-Ahead Photovoltaic Power Forecasting

Towards Generalizing Pretrained All-Atom Representations to Unified Binder Design

MATE: Multi-view Attention for Table Transformer Efficiency

A Discrete Choice Framework for Modeling and Forecasting The Adoption and Diffusion of New Transportation Services

Invert to Learn to Invert

Seq@K: Evaluating Language Models Under Sequential Feedback

Lipschitz and Comparator-Norm Adaptivity in Online Learning

JoyAI-Voice 2.0: A Full-Continuous Autoregressive Speech Generation Model with Semantic-Acoustic Joint Representation

Variational Implicit Processes

Heterogeneous Information Network Embedding for Meta Path based Proximity

SatOps-Decision: Low-Latency Discriminative Decisions for Onboard Satellite Communication Operations

Sign Language Production: A Review

AtomTree: A Hierarchical Framework for State-Aware Embodied Instruction Following with LLMs

inkGround: Benchmarking Fine-grained Visual Grounding Capabilities of Vision-Language Models for Cursive Handwriting in the Wild

LIFT: A Lifecycle-aware Interaction Factorization Transformer for Unified Retrieval and Ranking

Maintaining Human Verification Capacity under Automation

SaiVLA-JEPA: Evaluating Future Latent Prediction in JEPA-Conditioned VLA Control

The Mathematical Foundations for Mapping Policies to Network Devices (Technical Report)

Leveraging LLM-Generated Explanations for Detecting Emotionally Rewritten Fake News

DIBench: Benchmarking Decision Integrity of GUI-based Mobile Agents Under Deceptive Injections

Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake News

A Case Study of a Multi-Agent Kernel-Optimization Loop That Learns a New AI Accelerator

Data-driven cardiovascular flow modeling: examples and opportunities

Calculation and rejection diverge in language models tested at known mechanical limits

The Indian Financial Automated Advice Bias (IFAAB) Dataset : Auditing Socioeconomic and Demographic Disparities in LLM-Generated Financial Advice in India

A Bifurcation-Based Domain Decomposition Method with Neural Operators for Blood Flow Simulation

Beauty Is Human: When People Love AI-Generated Art, They Think a Human Made It

Hardware-Native Joint Sparse-Quantization for Trillion-Scale Mixture-of-Experts

RxnOptBench: Benchmarking LLMs for Reaction-Condition Optimization in Organic Methodology

Real-World Repetition Estimation by Div, Grad and Curl

Context Compaction for World Models

Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions

Curriculum-Based Deep Reinforcement Learning for Robust Autonomous Rocket Landing under Atmospheric Uncertainty

The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector

Calibrating the Checksum: An Empirical False-Positive Bound for One-Sided ABFT on bfloat16 GEMM, and What It Fails to Catch

Becoming Suspicious Across Borders: Algorithmic Extraterritoriality and AI-Driven Financial Surveillance

Artificial Intelligence and Machine Learning for Quantum Technologies

GARDEN: Generalist Autonomous Reward Design Through Evidence Navigation for Cooperative Multi-Agent Reinforcement Learning

UnifiedAttack: Evaluating the Safety of Large Multimodal Models in Synergistic Harmful Image-Text Generation

From Error Prediction to Causal Influence: Auditing SAE Features in Multiple-Choice QA

DES-JEPA: Learning a Shared Vocabulary for High-Dimensional Discrete Event Sequences

Online Object Tracking, Learning and Parsing with And-Or Graphs

Non-Commutative Lie-Algebraic State-Space Models: Finite-Division Variety Laws, Semidirect Cascades, and Gradient Saddle Escape

Retrospective Open-Vocabulary Memory for Long-Term Object Search

Learning the Multiple Traveling Salesmen Problem with Permutation Invariant Pooling Networks

Interpretable Feature Discovery from Unstructured Data Using LLMs and Statistical Choice Models

Bellman-Certified Rounding for Sparse Policy Deployment in MDPs

A Powerful Generative Model Using Random Weights for the Deep Image Representation

Approaching the Computational Color Constancy as a Classification Problem through Deep Learning

Authorization for Self-Modifying AI Agent Populations: Conserving Authority across Replacement, Forking, and Rollback

Statistical Detection of Positional Bias in LLM-Based Recommender Systems: Methodologies and Empirical Evidence

Adaptive Gradient Quantization for Data-Parallel SGD

DriftOPD: Sequence-Level Reverse-KL Distillation for One-Step VLA Policies

Self-Supervised Latent Action-Conditioned World Modeling for Time Series

Beyond Pixel Reconstruction: Retrieval-Guided Glyph-Aware Restoration for Low-Resource Manchu Historical Documents