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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21,361 to 21,420 of 61,228

Linking spatial biology and clinical histology via Haiku
Yan Cui, Jacob S. Leiby, Wenhui Lei +6
cs.LGcs.CVq-bio.QMarXiv:2605.00925v12026
CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment
Siyuan Guo, Yali Du, Hechang Chen +2
cs.AIcs.CLcs.LGarXiv:2605.06702v12026
Sparse Autoencoders enable Robust and Interpretable Fine-tuning of CLIP models
Fabian Morelli, Arnas Uselis, Ankit Sonthalia +1
cs.CVarXiv:2605.15961v12026
SpaceR: Reinforcing MLLMs in Video Spatial Reasoning
Kun Ouyang, Yuanxin Liu, Haoning Wu +5
cs.CVarXiv:2504.01805v22025
MEME: Multi-entity & Evolving Memory Evaluation
Seokwon Jung, Alexander Rubinstein, Arnas Uselis +2
cs.LGcs.CLarXiv:2605.12477v12026
MLAIRE: Multilingual Language-Aware Information Retrieval Evaluation Protocal
Youngjoon Jang, Seongtae Hong, Hyeonseok Moon +1
cs.IRarXiv:2605.07249v12026
Beyond Retrieval: A Multitask Benchmark and Model for Code Search
Siqiao Xue, Zihan Liao, Jin Qin +4
cs.SEcs.AIarXiv:2605.04615v22026
Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems
Yilun Zhao, Jinbiao Wei, Tingyu Song +3
cs.CLcs.IRarXiv:2605.04018v12026
The Illusion of Certainty: Decoupling Capability and Calibration in On-Policy Distillation
Jiaxin Zhang, Xiangyu Peng, Qinglin Chen +3
cs.LGcs.AIarXiv:2604.16830v12026
Micro Language Models Enable Instant Responses
Wen Cheng, Tuochao Chen, Karim Helwani +3
cs.CLarXiv:2604.19642v12026
OptiMer: Optimal Distribution Vector Merging Is Better than Data Mixing for Continual Pre-Training
Haiyue Song, Masao Utiyama
cs.CLcs.AIcs.LGarXiv:2603.28858v22026
C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion
Yuval Haitman, Amit Efraim, Joseph M. Francos
cs.CVarXiv:2604.16680v12026
The Cognitive Penalty: Ablating System 1 and System 2 Reasoning in Edge-Native SLMs for Decentralized Consensus
Syed Muhammad Aqdas Rizvi
cs.AIcs.CLcs.CRarXiv:2604.16913v12026
QuitoBench: A High-Quality Open Time Series Forecasting Benchmark
Siqiao Xue, Zhaoyang Zhu, Wei Zhang +7
cs.LGarXiv:2603.26017v12026
TIPSv2: Advancing Vision-Language Pretraining with Enhanced Patch-Text Alignment
Bingyi Cao, Koert Chen, Kevis-Kokitsi Maninis +16
cs.CVarXiv:2604.12012v12026
Mario: Multimodal Graph Reasoning with Large Language Models
Yuanfu Sun, Kang Li, Pengkang Guo +2
cs.CVarXiv:2603.05181v22026
RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time
Haozhe Wang, Cong Wei, Weiming Ren +3
cs.AIcs.LGarXiv:2604.11626v22026
CREATE: Testing LLMs for Associative Creativity
Manya Wadhwa, Tiasa Singha Roy, Harvey Lederman +2
cs.CLarXiv:2603.09970v22026
UniG2U-Bench: Do Unified Models Advance Multimodal Understanding?
Zimo Wen, Boxiu Li, Wanbo Zhang +11
cs.CVcs.AIarXiv:2603.03241v12026
AVERE: Improving Audiovisual Emotion Reasoning with Preference Optimization
Ashutosh Chaubey, Jiacheng Pang, Maksim Siniukov +1
cs.LGcs.CVcs.HCarXiv:2602.07054v12026
mSFT: Addressing Dataset Mixtures Overfitting Heterogeneously in Multi-task SFT
Woosung Koh, Jeyoung Jeon, Youngjin Song +4
cs.LGcs.AIarXiv:2603.21606v52026
SkillOrchestra: Learning to Route Agents via Skill Transfer
Jiayu Wang, Yifei Ming, Zixuan Ke +3
cs.AIcs.LGarXiv:2602.19672v12026
Parcels v0.9: prototyping a Lagrangian Ocean Analysis framework for the petascale age
Michael Lange, Erik van Sebille
physics.ao-phcs.CEarXiv:1707.05163v22017
AIRS-Bench: a Suite of Tasks for Frontier AI Research Science Agents
Alisia Lupidi, Bhavul Gauri, Thomas Simon Foster +34
cs.AIarXiv:2602.06855v32026
StyleVLA: Driving Style-Aware Vision Language Action Model for Autonomous Driving
Yuan Gao, Dengyuan Hua, Mattia Piccinini +4
cs.ROarXiv:2603.09482v12026
Privileged Information Distillation for Language Models
Emiliano Penaloza, Dheeraj Vattikonda, Nicolas Gontier +3
cs.LGcs.AIarXiv:2602.04942v32026
Generative Visual Code Mobile World Models
Woosung Koh, Sungjun Han, Segyu Lee +2
cs.LGcs.AIcs.CVarXiv:2602.01576v22026
PISCO: Precise Video Instance Insertion with Sparse Control
Xiangbo Gao, Renjie Li, Xinghao Chen +4
cs.CVcs.AIarXiv:2602.08277v22026
Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization
Zeyuan Liu, Jeonghye Kim, Xufang Luo +2
cs.LGcs.AIarXiv:2602.23008v22026
f-GRPO and Beyond: Divergence-Based Reinforcement Learning Algorithms for General LLM Alignment
Rajdeep Haldar, Lantao Mei, Guang Lin +2
cs.LGstat.MLarXiv:2602.05946v32026
GeneralVLA: Generalizable Vision-Language-Action Models with Knowledge-Guided Trajectory Planning
Guoqing Ma, Siheng Wang, Zeyu Zhang +2
cs.ROcs.CVarXiv:2602.04315v12026
SageBwd: A Trainable Low-bit Attention
Jintao Zhang, Marco Chen, Haoxu Wang +5
cs.LGcs.AIarXiv:2603.02170v12026
Finally Outshining the Random Baseline: A Simple and Effective Solution for Active Learning in 3D Biomedical Imaging
Carsten T. Lüth, Jeremias Traub, Kim-Celine Kahl +6
cs.CVarXiv:2601.13677v12026
TIDE: Trajectory-based Diagnostic Evaluation of Test-Time Improvement in LLM Agents
Hang Yan, Xinyu Che, Fangzhi Xu +7
cs.AIarXiv:2602.02196v22026
Human Psychometric Questionnaires Mischaracterize LLM Behavior
Woojung Song, Dongmin Choi, Yoonah Park +3
cs.CLcs.AIarXiv:2509.10078v42025
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
Chunran Zheng, Wei Xu, Zuhao Zou +11
cs.ROcs.CVarXiv:2408.14035v22024
xLSTM: Extended Long Short-Term Memory
Maximilian Beck, Korbinian Pöppel, Markus Spanring +6
cs.LGcs.AIstat.MLarXiv:2405.04517v22024
LION: Latent Point Diffusion Models for 3D Shape Generation
Xiaohui Zeng, Arash Vahdat, Francis Williams +4
cs.CVcs.LGstat.MLarXiv:2210.06978v12022
Natural Language Processing in Electronic Health Records in Relation to Healthcare Decision-making: A Systematic Review
Elias Hossain, Rajib Rana, Niall Higgins +5
cs.CLcs.CYarXiv:2306.12834v12023
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling
Jun Zhan, Junqi Dai, Jiasheng Ye +13
cs.CLcs.AIcs.CVarXiv:2402.12226v52024
Towards Automated Circuit Discovery for Mechanistic Interpretability
Arthur Conmy, Augustine N. Mavor-Parker, Aengus Lynch +2
cs.LGarXiv:2304.14997v42023
MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models
Xin Liu, Yichen Zhu, Jindong Gu +3
cs.CVarXiv:2311.17600v52023
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback
Yann Dubois, Xuechen Li, Rohan Taori +6
cs.LGcs.AIcs.CLarXiv:2305.14387v42023
Deep Semi-Supervised Anomaly Detection
Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz +4
cs.LGstat.MLarXiv:1906.02694v22019
Learning Local Equivariant Representations for Large-Scale Atomistic Dynamics
Albert Musaelian, Simon Batzner, Anders Johansson +4
physics.comp-phcond-mat.mtrl-scics.LGarXiv:2204.05249v12022
The role of quantum information in thermodynamics --- a topical review
John Goold, Marcus Huber, Arnau Riera +2
quant-pharXiv:1505.07835v32015
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Takeru Miyato, Shin-ichi Maeda, Masanori Koyama +1
stat.MLcs.LGarXiv:1704.03976v22017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
Briland Hitaj, Giuseppe Ateniese, Fernando Perez-Cruz
cs.CRcs.LGstat.MLarXiv:1702.07464v32017
OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale
Haoyang Li, Shang Wu, Xiaokang Zhang +9
cs.CLcs.DBarXiv:2503.02240v22025
Comparing deep neural networks against humans: object recognition when the signal gets weaker
Robert Geirhos, David H. J. Janssen, Heiko H. Schütt +3
cs.CVq-bio.NCstat.MLarXiv:1706.06969v22017
The theory of variational hybrid quantum-classical algorithms
Jarrod R. McClean, Jonathan Romero, Ryan Babbush +1
quant-phphysics.chem-pharXiv:1509.04279v12015
Generalized Multiscale Finite Element Methods (GMsFEM)
Yalchin Efendiev, Juan Galvis, Thomas Y. Hou
math.NAcs.CEmath.AParXiv:1301.2866v22013
Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective
Danielle Bragg, Oscar Koller, Mary Bellard +9
cs.CVcs.CLcs.CYarXiv:1908.08597v12019
Barren plateaus in quantum neural network training landscapes
Jarrod R. McClean, Sergio Boixo, Vadim N. Smelyanskiy +2
quant-phcs.LGphysics.chem-pharXiv:1803.11173v12018
Do Deep Nets Really Need to be Deep?
Lei Jimmy Ba, Rich Caruana
cs.LGcs.NEarXiv:1312.6184v72013
A Study of NK Landscapes' Basins and Local Optima Networks
Gabriela Ochoa, Marco Tomassini, Sébastien Verel +1
cs.NEarXiv:0810.3484v12008
Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey
Yaoting Wang, Shengqiong Wu, Yuecheng Zhang +4
cs.CVarXiv:2503.12605v22025
Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
Tianxin Wei, Noveen Sachdeva, Benjamin Coleman +12
cs.CLcs.AIarXiv:2511.20857v22025
Quantum spectral methods for differential equations
Andrew M. Childs, Jin-Peng Liu
quant-phmath.NAarXiv:1901.00961v12019
Loss is its own Reward: Self-Supervision for Reinforcement Learning
Evan Shelhamer, Parsa Mahmoudieh, Max Argus +1
cs.LGarXiv:1612.07307v22016

Every paper with a summary

Linking spatial biology and clinical histology via Haiku

CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment

Sparse Autoencoders enable Robust and Interpretable Fine-tuning of CLIP models

SpaceR: Reinforcing MLLMs in Video Spatial Reasoning

MEME: Multi-entity & Evolving Memory Evaluation

MLAIRE: Multilingual Language-Aware Information Retrieval Evaluation Protocal

Beyond Retrieval: A Multitask Benchmark and Model for Code Search

Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems

The Illusion of Certainty: Decoupling Capability and Calibration in On-Policy Distillation

Micro Language Models Enable Instant Responses

OptiMer: Optimal Distribution Vector Merging Is Better than Data Mixing for Continual Pre-Training

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion

The Cognitive Penalty: Ablating System 1 and System 2 Reasoning in Edge-Native SLMs for Decentralized Consensus

QuitoBench: A High-Quality Open Time Series Forecasting Benchmark

TIPSv2: Advancing Vision-Language Pretraining with Enhanced Patch-Text Alignment

Mario: Multimodal Graph Reasoning with Large Language Models

RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time

CREATE: Testing LLMs for Associative Creativity

UniG2U-Bench: Do Unified Models Advance Multimodal Understanding?

AVERE: Improving Audiovisual Emotion Reasoning with Preference Optimization

mSFT: Addressing Dataset Mixtures Overfitting Heterogeneously in Multi-task SFT

SkillOrchestra: Learning to Route Agents via Skill Transfer

Parcels v0.9: prototyping a Lagrangian Ocean Analysis framework for the petascale age

AIRS-Bench: a Suite of Tasks for Frontier AI Research Science Agents

StyleVLA: Driving Style-Aware Vision Language Action Model for Autonomous Driving

Privileged Information Distillation for Language Models

Generative Visual Code Mobile World Models

PISCO: Precise Video Instance Insertion with Sparse Control

Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization

f-GRPO and Beyond: Divergence-Based Reinforcement Learning Algorithms for General LLM Alignment

GeneralVLA: Generalizable Vision-Language-Action Models with Knowledge-Guided Trajectory Planning

SageBwd: A Trainable Low-bit Attention

Finally Outshining the Random Baseline: A Simple and Effective Solution for Active Learning in 3D Biomedical Imaging

TIDE: Trajectory-based Diagnostic Evaluation of Test-Time Improvement in LLM Agents

Human Psychometric Questionnaires Mischaracterize LLM Behavior

FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry

xLSTM: Extended Long Short-Term Memory

LION: Latent Point Diffusion Models for 3D Shape Generation

Natural Language Processing in Electronic Health Records in Relation to Healthcare Decision-making: A Systematic Review

AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling

Towards Automated Circuit Discovery for Mechanistic Interpretability

MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback

Deep Semi-Supervised Anomaly Detection

Learning Local Equivariant Representations for Large-Scale Atomistic Dynamics

The role of quantum information in thermodynamics --- a topical review

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning

OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Comparing deep neural networks against humans: object recognition when the signal gets weaker

The theory of variational hybrid quantum-classical algorithms

Generalized Multiscale Finite Element Methods (GMsFEM)

Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective

Barren plateaus in quantum neural network training landscapes

Do Deep Nets Really Need to be Deep?

A Study of NK Landscapes' Basins and Local Optima Networks

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory

Quantum spectral methods for differential equations

Loss is its own Reward: Self-Supervision for Reinforcement Learning