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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1 to 60 of 117,625

Visual-Invariance-Augmented Feature Optimal Alignment for Transferable Adversarial Attacks against Closed-Source MLLMs
Xiaojun Jia, Simeng Qin, Yiming Li +5
cs.CVcs.AIarXiv:2610.06977v12026
Beyond Distribution Matching: Selective Margin Preservation for Supervised Fine-Tuning
Yuxuan Wang, Guangxiang Zhao, Xinyu Tan +6
cs.LGcs.CLarXiv:2610.19685v12026
More Than Seeing: Vision as Scalable Anchors in Native Multimodal Pre-Training
Haoyuan Wu, Aoqi Wu, Jiani Hu +1
cs.CLarXiv:2610.19443v12026
Testing Scenario Library Generation for Connected and Automated Vehicles, Part II: Case Studies
Shuo Feng, Yiheng Feng, Haowei Sun +3
cs.ROcs.AIarXiv:1905.03428v32019
CAST: History-Adaptive Spectral Clipping for LLM Pretraining
Jiacheng Li, Jianchao Tan, Kefeng Zhang +2
cs.LGarXiv:2610.19761v12026
SEA-HELM Audio: Evaluating Multilingual ASR-LLM Pipeline Performance Across SEA-HELM Subsets
Aulia Adila, Yixian Tan, Jonathan Heng +3
cs.SDcs.CLarXiv:2610.19869v22026
Learning to Curate What You Generate for Generalizable Few-Shot Class-Incremental Learning
Junhui Yin, Yuchen Yang, Yilin Yin +6
cs.CVarXiv:2610.07008v12026
State-Aware Interaction MIL for Rare Joint Molecular Phenotype Prediction in Colorectal Cancer and Lung Adenocarcinoma
Dasari Naga Raju, Tripti Bameta
cs.CVarXiv:2610.06991v12026
Inference-Time Projection for Physically Valid Biomolecular Diffusion Models
Qurat-ul-ain, Yee Whye Teh, Charlotte M. Deane +1
cs.AIcs.LGarXiv:2610.07037v12026
One-Bit OFDM Receivers via Deep Learning
Eren Balevi, Jeffrey G. Andrews
cs.ITcs.LGeess.SParXiv:1811.00971v22018
The Sum of All Summaries: PROPALIGN for Graded Proposition Salience Evaluation
Lin Ai, Emma Thronson, Katherine Conhaim +1
cs.CLarXiv:2610.19387v12026
Low-Memory Neural Network Training: A Technical Report
Nimit S. Sohoni, Christopher R. Aberger, Megan Leszczynski +2
cs.LGstat.MLarXiv:1904.10631v22019
PatentBERT: Patent Classification with Fine-Tuning a pre-trained BERT Model
Jieh-Sheng Lee, Jieh Hsiang
cs.CLcs.LGstat.MLarXiv:1906.02124v22019
JIVEAdapter: A Multi-Task Additive Low-Rank Adapter via Joint and Individual Variation Explained (JIVE)
Sara Abdali, Pashmina Cameron
cs.AIcs.LGarXiv:2610.07036v12026
Massive MIMO Radar for Target Detection
Stefano Fortunati, Luca Sanguinetti, Fulvio Gini +2
eess.SPcs.ITmath.ITarXiv:1906.06191v42019
The Premise Is the Problem: Exchangeability Failure in Self-Monitored Test-Time Adaptation
Weijia Han, Lisha Qu, Zhenda Li +1
cs.LGstat.MLarXiv:2610.07038v12026
Learning in Orbit: Onboard Training and Closed-Loop Attitude Control with a Thermal Segmentation Model on a Spacecraft
Elena Sorina Lupu, Hannah Grauer, Phaedrus Leeds +9
cs.ROcs.AIcs.SYarXiv:2610.19122v12026
Shaping the Wind: Nested Potentials for Kinematically Admissible Urban Wind Prediction
Yidi Wang, Yunhe Zhang, Jiawei Gu +2
cs.LGarXiv:2610.07033v12026
Finding non-bisimplicial and triad-free minimal separators
Maria Chudnovsky, Ilya Maier
math.COcs.DSarXiv:2610.19093v12026
Where Does the Audio Jailbreak Live? A Controlled Frequency-Depth Audit of AdvWave-P on Qwen2-Audio
Boyuan Chen, Minseok Kim, Sohaila Abdulsattar +4
cs.SDcs.AIcs.CRarXiv:2610.07005v12026
Which Image Property Carries the Jailbreak? A Controlled Dissection of Image-to-Text Jailbreaks
Boyuan Chen, Yehia Dawoud, Hailemariam Mersha +4
cs.CRcs.AIcs.LGarXiv:2610.07009v12026
CacheSmith: Accurate RAG Serving under Latency SLOs with Adaptive KV Reuse
Xinyue Ma, Damin Lee, Aashaka Shah +1
cs.ARcs.DCarXiv:2610.18925v12026
An Open source Implementation of ITU-T Recommendation P.808 with Validation
Babak Naderi, Ross Cutler
eess.AScs.SDarXiv:2005.08138v12020
MIND: Instruction-Conditioned Incremental Grounding for Robots
Mohamed Abouagour, Junhyun Nam, Wonse Jo +1
cs.ROcs.AIarXiv:2610.19262v12026
Few-Shot Adaptation of Generative Adversarial Networks
Esther Robb, Wen-Sheng Chu, Abhishek Kumar +1
cs.CVarXiv:2010.11943v12020
Hierarchy-GBP: Accelerating Factor Graph Inference via Abstraction and Recovery
Yuzhou Cheng, Tom Yates, Ignacio Alzugaray +3
cs.CVcs.LGcs.ROarXiv:2610.06978v12026
Agronomic Characterization and Time-Series UAV Phenotyping to Support Field Pea Breeding in Iowa
Yanben Shen, Joscif Raigne, Asheesh Singh +1
cs.CVarXiv:2610.19154v12026
A Multi-Resolution Frontier-Based Planner for Autonomous 3D Exploration
Ana Batinović, Tamara Petrović, Antun Ivanovic +2
cs.ROarXiv:2011.02182v12020
Fixed Point Strategies in Data Science
Patrick L. Combettes, Jean-Christophe Pesquet
math.OCarXiv:2008.02260v32020
Active Boundary Loss for Semantic Segmentation
Chi Wang, Yunke Zhang, Miaomiao Cui +6
cs.CVarXiv:2102.02696v22021
Dimension-Free Scaling Laws for Size Generalization: An Exponential Separation
Behrooz Tahmasebi, Melanie Weber
cs.LGcs.AIarXiv:2610.19279v12026
A Fast and Effective Local Search Algorithm for Optimizing the Placement of Wind Turbines
Markus Wagner, Jareth Day, Frank Neumann
cs.NEarXiv:1204.4560v12012
Mixed Quantum-Classical Method For Fraud Detection with Quantum Feature Selection
Michele Grossi, Noelle Ibrahim, Voica Radescu +4
quant-phcs.LGarXiv:2208.07963v12022
Moisesdb: A dataset for source separation beyond 4-stems
Igor Pereira, Felipe Araújo, Filip Korzeniowski +1
cs.SDcs.AIeess.ASarXiv:2307.15913v12023
An Initial Study of Physiological Markers for Deepfake Speech Detection
Vojtěch Staněk, Michal Frič, Kamil Malinka +1
cs.SDcs.CRcs.CVarXiv:2610.18934v12026
PairIT: Autoregressive Transformers for Low-Data Molecule Optimization
Hannah Lawrence, Bodhi P. Vani, Ji Won Park +5
cs.LGcs.AIphysics.chem-pharXiv:2610.19123v12026
Data Density Scaling Laws for Image Self-Distillation
Alvard Barseghyan, Ani Vanyan, Hakob Tamazyan +1
cs.LGarXiv:2610.19013v12026
Scaling Cheap Synthetic Pretraining Improves Indoor Radio-Map Prediction
Khoren Petrosyan, Artashes Mkrtchyan, Rafayel Mkrtchyan +2
cs.LGcs.AIarXiv:2610.19015v12026
Identifiable World Models from Pretrained Diffusion Representations
Ruchi Sandilya, Conor Liston, Logan Grosenick
cs.LGarXiv:2610.07028v12026
STOCK-JEPA: Prior-Anchored Latent Revision Representation Learning in Equity Markets
Yizhi Luo, Jiahe Yi, Jianhui Zhang +1
cs.LGq-fin.STarXiv:2610.07006v12026
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations
Jianxiong Shen, Adria Ruiz, Antonio Agudo +1
cs.CVarXiv:2109.02123v32021
ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling
Quanyi Li, Zhenghao Peng, Lan Feng +4
cs.ROarXiv:2306.12241v72023
DART-ES: Difficulty-Aware Reweighting and Targeted Replay for Fine-Tuning LLMs with Evolution Strategies
Zhishen Sun, Hongzhan Wang, Sizhe Dang +2
cs.LGcs.AIarXiv:2610.06993v12026
Repair Lot Skyline: A Weighted Constraint Satisfaction Approach to Pavement Repair Optimization from Geospatial Hazard Density
Takato Yasuno, Keita Kobayashi, Ryuta Sakaguchi +1
cs.LGarXiv:2610.06989v12026
An Information-Theoretic Evaluation Framework for Benchmark and Model Diagnosis in Knowledge Tracing
Houru Jiang, Zixi Wang, Tengteng Cheng +6
cs.LGarXiv:2610.06988v12026
Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMs
Angelica Chen, Jason Phang, Alicia Parrish +4
cs.CLarXiv:2305.14279v42023
GREAT-ESDD: Graph Edge Attention Network for Effectively Steered Delivery Decisions
Attila Lischka, Ze Zhou, Xuegang +2
cs.AIarXiv:2610.14792v12026
Back to the Future: Reverse-Consequence Modeling for Long-Horizon Particle Dynamics
Leyan Zhang, Nantian He, Jiajun Ma +2
cs.AIarXiv:2610.18168v12026
An LLM-in-the-loop RL Framework for Bioinformatics Feature Selection
Xinyuan Wang, Deepti Agrawal, Yanjie Fu
cs.LGcs.AIarXiv:2610.05600v12026
PMO-Dock: Benchmarking Docking, Specificity, and Generalization in Molecular Optimization
Gor Simonyan, Tatevik Abrahamyan, Narek Abelyan +2
cs.LGq-bio.QMarXiv:2610.19011v12026
Mask-Guided KV Cache Eviction in Block Diffusion Language Models
Gleb Molodtsov, Ekaterina Alimaskina, Evgeny Uskov +2
cs.LGcs.AIcs.CLarXiv:2610.06996v12026
Friend or Foe? Fake Profile Identification in Online Social Networks
Michael Fire, Dima Kagan, Aviad Elyashar +1
cs.SIphysics.soc-pharXiv:1303.3751v12013
Investigating Model Compression for Neural Machine Translation in the Biomedical Domain
Maria Zafar, Souhail Bakkali, Rejwanul Haque
cs.CLcs.AIcs.LGarXiv:2610.07032v12026
HardIDX: Practical and Secure Index with SGX
Benny Fuhry, Raad Bahmani, Ferdinand Brasser +3
cs.CRarXiv:1703.04583v12017
Beyond Refusal Patterns: Safe-Role Internalization for Robust and Generalizable LLM Safety Alignment
Jinghao Pang, Jitai Hao, Qiang Huang +2
cs.AIcs.CLcs.IRarXiv:2610.07023v12026
Encrypted Skills Can Become New Security Exploits If AI Agents Know How to Decipher
Yan-Lun Chen, Pin-Yu Chen, Chia-Mu Yu
cs.CRcs.AIcs.CLarXiv:2610.18262v12026
Calibrated Evidence Inference With a Small, Permissively Licensed Open Model
Johann Emmanuel Li
cs.CLcs.LGarXiv:2610.07019v22026
Answering Complex Questions Using Open Information Extraction
Tushar Khot, Ashish Sabharwal, Peter Clark
cs.AIcs.CLarXiv:1704.05572v12017
Democratizing Robot-Use Agents: A Unified Harness with Open Models
Jiarui Yuan, Yuxin Zuo, Xiaoyu Huang +25
cs.ROarXiv:2611.01560v12026
Large-Scale Convex Optimization for Ultra-Dense Cloud-RAN
Yuanming Shi, Jun Zhang, Khaled B. Letaief +2
cs.ITmath.ITarXiv:1506.04243v12015

Every paper with a summary

Visual-Invariance-Augmented Feature Optimal Alignment for Transferable Adversarial Attacks against Closed-Source MLLMs

Beyond Distribution Matching: Selective Margin Preservation for Supervised Fine-Tuning

More Than Seeing: Vision as Scalable Anchors in Native Multimodal Pre-Training

Testing Scenario Library Generation for Connected and Automated Vehicles, Part II: Case Studies

CAST: History-Adaptive Spectral Clipping for LLM Pretraining

SEA-HELM Audio: Evaluating Multilingual ASR-LLM Pipeline Performance Across SEA-HELM Subsets

Learning to Curate What You Generate for Generalizable Few-Shot Class-Incremental Learning

State-Aware Interaction MIL for Rare Joint Molecular Phenotype Prediction in Colorectal Cancer and Lung Adenocarcinoma

Inference-Time Projection for Physically Valid Biomolecular Diffusion Models

One-Bit OFDM Receivers via Deep Learning

The Sum of All Summaries: PROPALIGN for Graded Proposition Salience Evaluation

Low-Memory Neural Network Training: A Technical Report

PatentBERT: Patent Classification with Fine-Tuning a pre-trained BERT Model

JIVEAdapter: A Multi-Task Additive Low-Rank Adapter via Joint and Individual Variation Explained (JIVE)

Massive MIMO Radar for Target Detection

The Premise Is the Problem: Exchangeability Failure in Self-Monitored Test-Time Adaptation

Learning in Orbit: Onboard Training and Closed-Loop Attitude Control with a Thermal Segmentation Model on a Spacecraft

Shaping the Wind: Nested Potentials for Kinematically Admissible Urban Wind Prediction

Finding non-bisimplicial and triad-free minimal separators

Where Does the Audio Jailbreak Live? A Controlled Frequency-Depth Audit of AdvWave-P on Qwen2-Audio

Which Image Property Carries the Jailbreak? A Controlled Dissection of Image-to-Text Jailbreaks

CacheSmith: Accurate RAG Serving under Latency SLOs with Adaptive KV Reuse

An Open source Implementation of ITU-T Recommendation P.808 with Validation

MIND: Instruction-Conditioned Incremental Grounding for Robots

Few-Shot Adaptation of Generative Adversarial Networks

Hierarchy-GBP: Accelerating Factor Graph Inference via Abstraction and Recovery

Agronomic Characterization and Time-Series UAV Phenotyping to Support Field Pea Breeding in Iowa

A Multi-Resolution Frontier-Based Planner for Autonomous 3D Exploration

Fixed Point Strategies in Data Science

Active Boundary Loss for Semantic Segmentation

Dimension-Free Scaling Laws for Size Generalization: An Exponential Separation

A Fast and Effective Local Search Algorithm for Optimizing the Placement of Wind Turbines

Mixed Quantum-Classical Method For Fraud Detection with Quantum Feature Selection

Moisesdb: A dataset for source separation beyond 4-stems

An Initial Study of Physiological Markers for Deepfake Speech Detection

PairIT: Autoregressive Transformers for Low-Data Molecule Optimization

Data Density Scaling Laws for Image Self-Distillation

Scaling Cheap Synthetic Pretraining Improves Indoor Radio-Map Prediction

Identifiable World Models from Pretrained Diffusion Representations

STOCK-JEPA: Prior-Anchored Latent Revision Representation Learning in Equity Markets

Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations

ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling

DART-ES: Difficulty-Aware Reweighting and Targeted Replay for Fine-Tuning LLMs with Evolution Strategies

Repair Lot Skyline: A Weighted Constraint Satisfaction Approach to Pavement Repair Optimization from Geospatial Hazard Density

An Information-Theoretic Evaluation Framework for Benchmark and Model Diagnosis in Knowledge Tracing

Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMs

GREAT-ESDD: Graph Edge Attention Network for Effectively Steered Delivery Decisions

Back to the Future: Reverse-Consequence Modeling for Long-Horizon Particle Dynamics

An LLM-in-the-loop RL Framework for Bioinformatics Feature Selection

PMO-Dock: Benchmarking Docking, Specificity, and Generalization in Molecular Optimization

Mask-Guided KV Cache Eviction in Block Diffusion Language Models

Friend or Foe? Fake Profile Identification in Online Social Networks

Investigating Model Compression for Neural Machine Translation in the Biomedical Domain

HardIDX: Practical and Secure Index with SGX

Beyond Refusal Patterns: Safe-Role Internalization for Robust and Generalizable LLM Safety Alignment

Encrypted Skills Can Become New Security Exploits If AI Agents Know How to Decipher

Calibrated Evidence Inference With a Small, Permissively Licensed Open Model

Answering Complex Questions Using Open Information Extraction

Democratizing Robot-Use Agents: A Unified Harness with Open Models

Large-Scale Convex Optimization for Ultra-Dense Cloud-RAN