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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76,441 to 76,500 of 104,226

Evaluating Digital Agriculture Recommendations with Causal Inference
Ilias Tsoumas, Georgios Giannarakis, Vasileios Sitokonstantinou +5
cs.LGcs.AIarXiv:2211.16938v12022
Socialality Anchors: Towards Group-bounded Trajectory Prediction
Ziqian Zou, Conghao Wong, Qinmu Peng +1
cs.CVarXiv:2609.36852v12026
Towards Seamless Interaction: Causal Turn-Level Modeling of Interactive 3D Conversational Head Dynamics
Junjie Chen, Fei Wang, Zhihao Huang +5
cs.CVarXiv:2512.15340v22025
Interaction Techniques that Encourage Longer Prompts Can Improve Psychological Ownership when Writing with AI
Nikhita Joshi, Daniel Vogel
cs.HCcs.AIcs.CLarXiv:2507.03670v32025
MPIE-Bench: Benchmarking Anatomically Plausible Multi-Person Interaction Editing
Jiajia Lin, Mingxuan Du, Tuowen Zhou +2
cs.CVarXiv:2607.27616v12026
The Illusion of State in State-Space Models
William Merrill, Jackson Petty, Ashish Sabharwal
cs.LGcs.CCcs.CLarXiv:2404.08819v32024
Energy Yield and Lifetime Climate Classification via Machine Learning for Optimizing Photovoltaic Module Design and Materials
Youri Blom, Sofia Dutto, Alexandru Costache +7
physics.comp-phcs.LGarXiv:2608.25448v12026
Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning
Anton Bakhtin, David J Wu, Adam Lerer +5
cs.GTcs.AIcs.LGarXiv:2210.05492v12022
Script: Graph-Structured and Query-Conditioned Semantic Token Pruning for Multimodal Large Language Models
Zhongyu Yang, Dannong Xu, Wei Pang +1
cs.CVarXiv:2512.01949v12025
Adaptive Deep Learning for High-Dimensional Hamilton-Jacobi-Bellman Equations
Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang
math.OCcs.LGarXiv:1907.05317v52019
A Comparative Study of Evaluation Metrics for Long-Document Financial Narrative Summarization with Transformers
Nadhem Zmandar, Mo El-Haj, Paul Rayson
cs.CLarXiv:2610.09529v12026
Learning to Stop without Learning to Stop: Self-Supervised Confidence Training Improves Reasoning Efficiency
Parsa Hosseini, Akasha Tigalappanavara, Sumit Nawathe +6
cs.AIcs.CLcs.LGarXiv:2609.31619v12026
Molding CNNs for text: non-linear, non-consecutive convolutions
Tao Lei, Regina Barzilay, Tommi Jaakkola
cs.CLcs.AIarXiv:1508.04112v22015
On the Exploitability of Instruction Tuning
Manli Shu, Jiongxiao Wang, Chen Zhu +3
cs.CRcs.CLcs.LGarXiv:2306.17194v22023
Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning
Zhiyuan Hu, Yunhai Hu, Juncheng Liu +9
cs.AIcs.CLarXiv:2601.09667v22026
GEPARD - Generative, Prosody-aware, Autoregressive text-to-speech model for Realtime Dialogue
Denis Pavlov, Ulanbek Abdurazakov, Nursultan Bakashov
eess.AScs.CLcs.LGarXiv:2609.04222v12026
A Fixed-Radius Distance-Band Benchmark for Dimensionality-Reduction Fidelity
Yoshio Takaeda
cs.LGarXiv:2608.21779v12026
Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models
Chia-Yi Hsu, Yu-Lin Tsai, Chih-Hsun Lin +3
cs.LGarXiv:2405.16833v22024
Distributed Evaluation of Subgraph Queries Using Worstcase Optimal LowMemory Dataflows
Khaled Ammar, Frank McSherry, Semih Salihoglu +1
cs.DCcs.DBarXiv:1802.03760v12018
Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts
Leyang Li, Shilin Lu, Yan Ren +1
cs.CVcs.AIcs.CRarXiv:2504.12782v12025
Liquid chromatography mass spectrometry-based proteomics: Biological and technological aspects
Yuliya V. Karpievitch, Ashoka D. Polpitiya, Gordon A. Anderson +2
stat.APq-bio.BMq-bio.QMarXiv:1101.1154v12011
WALT: Web Agents that Learn Tools
Viraj Prabhu, Yutong Dai, Matthew Fernandez +8
cs.CVcs.AIcs.LGarXiv:2510.01524v12025
Efficient measurement of quantum gate error by interleaved randomized benchmarking
Easwar Magesan, Jay M. Gambetta, B. R. Johnson +9
quant-pharXiv:1203.4550v22012
End-to-End Neural Speaker Diarization with Self-attention
Yusuke Fujita, Naoyuki Kanda, Shota Horiguchi +3
eess.AScs.CLcs.SDarXiv:1909.06247v12019
Deep Rotation Equivariant Network
Junying Li, Zichen Yang, Haifeng Liu +1
cs.CVarXiv:1705.08623v22017
ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning
Chih-Yao Chen, Cheng-Te Li
cs.CLcs.IRcs.LGarXiv:2104.04697v12021
Graph Representation Learning via Graphical Mutual Information Maximization
Zhen Peng, Wenbing Huang, Minnan Luo +4
cs.LGcs.AIstat.MLarXiv:2002.01169v12020
MOF-VERIFY: A Failure-Aware Agentic Harness for MOF Hypothesis Verification
Donghyun Lee, Taehoon Lee, Geonhee Ahn +10
cs.AIcs.CEarXiv:2610.03056v12026
LAURA: Enhancing Code Review Generation with Context-Enriched Retrieval-Augmented LLM
Yuxin Zhang, Yuxia Zhang, Zeyu Sun +2
cs.SEarXiv:2512.01356v22025
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy
Jaejun Yoo, Namhyuk Ahn, Kyung-Ah Sohn
eess.IVcs.CVarXiv:2004.00448v22020
The Capacity of Private Information Retrieval
Hua Sun, Syed A. Jafar
cs.ITcs.CRcs.IRarXiv:1602.09134v22016
SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
Carlos E. Jimenez, John Yang, Alexander Wettig +4
cs.CLcs.AIcs.SEarXiv:2310.06770v32023
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation
Yukun Su, Ruizhou Sun, Guosheng Lin +1
cs.CVarXiv:2103.01795v22021
InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences
Hongkai Zheng, Wenda Chu, Bingliang Zhang +9
cs.LGarXiv:2503.11043v22025
Obstacles to State Preparation and Variational Optimization from Symmetry Protection
Sergey Bravyi, Alexander Kliesch, Robert Koenig +1
quant-phcond-mat.str-elarXiv:1910.08980v12019
CrypTFlow: Secure TensorFlow Inference
Nishant Kumar, Mayank Rathee, Nishanth Chandran +3
cs.CRcs.LGcs.PLarXiv:1909.07814v22019
High Performance Computing of SDRE models with Discrete Kalman Filtering for Robust $H_{\infty}$-Controls
Yunfeng Cai, Tiexiang Li, Wen-Wei Lin +1
math.NAcs.NAarXiv:2609.36840v12026
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks
Fernando Gama, Elvin Isufi, Geert Leus +1
cs.LGeess.SYstat.MLarXiv:2003.03777v52020
A General Capacity Frontier of Complex Networks
Nicholas Kunz, H. Oliver Gao
cs.SIphysics.soc-pharXiv:2610.09574v12026
ViRDM: Taming Representation Distribution Matching for Few-Step Causal Video Generation
Zichong Meng, Chongjian Ge, Chun-Hao P. Huang +2
cs.CVarXiv:2609.28923v12026
MiA-Signature: Approximating Global Activation for Long-Context Understanding
Yuqing Li, Jiangnan Li, Mo Yu +3
cs.CLarXiv:2605.06416v12026
It Is Not Seeing the Hazard: A Frozen Vision-Language Safety Score Measures Its Caption Bank
Samuel Tetteh, Cody Fleming
cs.CVcs.LGarXiv:2610.09517v12026
A Survey on Contextual Multi-armed Bandits
Li Zhou
cs.LGarXiv:1508.03326v22015
Learning Eigenstructures of Unstructured Data Manifolds
Roy Velich, Arkadi Piven, David Bensaïd +3
cs.CVarXiv:2512.01103v12025
MORE-PLR: multi-output regression employed for partial label ranking
Santo M. A. R. Thies, Juan C. Alfaro, Viktor Bengs
cs.LGarXiv:2609.29386v12026
Discovering Forbidden Topics in Language Models
Can Rager, Chris Wendler, Rohit Gandikota +1
cs.CLcs.AIcs.LGarXiv:2505.17441v32025
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
Zekun Qi, Runpei Dong, Guofan Fan +4
cs.CVarXiv:2302.02318v22023
Evidential Deep Learning for Open Set Action Recognition
Wentao Bao, Qi Yu, Yu Kong
cs.CVarXiv:2107.10161v22021
A convolutional framework for detecting event-driven dynamics in energy price series
Caixia Xu, Piotr Fryzlewicz
stat.MLcs.LGstat.MEarXiv:2609.00402v12026
Some Emotions Run Deeper: Layer-wise Probing and Causal Intervention in Large Language Models
Tian Fang, Gaël Guibon, Davide Buscaldi
cs.CLcs.AIarXiv:2609.01279v12026
Bondi-Sachs Formalism
Thomas Mädler, Jeffrey Winicour
gr-qcastro-ph.COhep-tharXiv:1609.01731v32016
Mitigating Covariate Shift in Imitation Learning via Offline Data Without Great Coverage
Jonathan D. Chang, Masatoshi Uehara, Dhruv Sreenivas +2
cs.LGstat.MLarXiv:2106.03207v32021
Knowledge-Graph-Gated Defactualization for Style-Controllable and Fact-Preserving Generation in Agentic Conversational AI
Tanmay Kumar Shrivastava, Darsh Rohit Nandu, Rajesh Kumar Mundotiya
cs.CLcs.AIarXiv:2608.20393v12026
Structured Driving-State Narratives for Small Language Model-Based GNSS Spoofing Detection
Abyad Enan, Sagar Dasgupta, Mizanur Rahman +1
cs.CRcs.AIarXiv:2608.17092v12026
The Like Trap: Multi-Stage Poisoning against Agents in Similarity-based Recommendation Systems
Yue Xing, Pengfei He, Zitao Li
cs.CRcs.AIcs.LGarXiv:2609.27155v12026
WorldGym: World Model as An Environment for Policy Evaluation
Julian Quevedo, Ansh Kumar Sharma, Yixiang Sun +3
cs.ROcs.AIarXiv:2506.00613v32025
Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents
Shihan Deng, Weikai Xu, Hongda Sun +8
cs.AIcs.CLarXiv:2407.00993v12024
A new method for proving confluence on abstract reduction systems --- Confluence of non-E-overlapping weakly-shallow TRSs ---
Masahiko Sakai, Mizuhito Ogawa, Michio Oyamaguchi
cs.LOarXiv:2610.09572v12026
Game Design and Analysis for Price based Demand Response: An Aggregate Game Approach
Maojiao Ye, Guoqiang Hu
econ.GNeess.SYmath.OCarXiv:1508.02636v32015
Fast and Efficient Locomotion via Learned Gait Transitions
Yuxiang Yang, Tingnan Zhang, Erwin Coumans +2
cs.ROcs.LGarXiv:2104.04644v32021

Every paper with a summary

Evaluating Digital Agriculture Recommendations with Causal Inference

Socialality Anchors: Towards Group-bounded Trajectory Prediction

Towards Seamless Interaction: Causal Turn-Level Modeling of Interactive 3D Conversational Head Dynamics

Interaction Techniques that Encourage Longer Prompts Can Improve Psychological Ownership when Writing with AI

MPIE-Bench: Benchmarking Anatomically Plausible Multi-Person Interaction Editing

The Illusion of State in State-Space Models

Energy Yield and Lifetime Climate Classification via Machine Learning for Optimizing Photovoltaic Module Design and Materials

Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning

Script: Graph-Structured and Query-Conditioned Semantic Token Pruning for Multimodal Large Language Models

Adaptive Deep Learning for High-Dimensional Hamilton-Jacobi-Bellman Equations

A Comparative Study of Evaluation Metrics for Long-Document Financial Narrative Summarization with Transformers

Learning to Stop without Learning to Stop: Self-Supervised Confidence Training Improves Reasoning Efficiency

Molding CNNs for text: non-linear, non-consecutive convolutions

On the Exploitability of Instruction Tuning

Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning

GEPARD - Generative, Prosody-aware, Autoregressive text-to-speech model for Realtime Dialogue

A Fixed-Radius Distance-Band Benchmark for Dimensionality-Reduction Fidelity

Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models

Distributed Evaluation of Subgraph Queries Using Worstcase Optimal LowMemory Dataflows

Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts

Liquid chromatography mass spectrometry-based proteomics: Biological and technological aspects

WALT: Web Agents that Learn Tools

Efficient measurement of quantum gate error by interleaved randomized benchmarking

End-to-End Neural Speaker Diarization with Self-attention

Deep Rotation Equivariant Network

ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning

Graph Representation Learning via Graphical Mutual Information Maximization

MOF-VERIFY: A Failure-Aware Agentic Harness for MOF Hypothesis Verification

LAURA: Enhancing Code Review Generation with Context-Enriched Retrieval-Augmented LLM

Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy

The Capacity of Private Information Retrieval

SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation

InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences

Obstacles to State Preparation and Variational Optimization from Symmetry Protection

CrypTFlow: Secure TensorFlow Inference

High Performance Computing of SDRE models with Discrete Kalman Filtering for Robust $H_{\infty}$-Controls

Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks

A General Capacity Frontier of Complex Networks

ViRDM: Taming Representation Distribution Matching for Few-Step Causal Video Generation

MiA-Signature: Approximating Global Activation for Long-Context Understanding

It Is Not Seeing the Hazard: A Frozen Vision-Language Safety Score Measures Its Caption Bank

A Survey on Contextual Multi-armed Bandits

Learning Eigenstructures of Unstructured Data Manifolds

MORE-PLR: multi-output regression employed for partial label ranking

Discovering Forbidden Topics in Language Models

Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining

Evidential Deep Learning for Open Set Action Recognition

A convolutional framework for detecting event-driven dynamics in energy price series

Some Emotions Run Deeper: Layer-wise Probing and Causal Intervention in Large Language Models

Bondi-Sachs Formalism

Mitigating Covariate Shift in Imitation Learning via Offline Data Without Great Coverage

Knowledge-Graph-Gated Defactualization for Style-Controllable and Fact-Preserving Generation in Agentic Conversational AI

Structured Driving-State Narratives for Small Language Model-Based GNSS Spoofing Detection

The Like Trap: Multi-Stage Poisoning against Agents in Similarity-based Recommendation Systems

WorldGym: World Model as An Environment for Policy Evaluation

Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents

A new method for proving confluence on abstract reduction systems --- Confluence of non-E-overlapping weakly-shallow TRSs ---

Game Design and Analysis for Price based Demand Response: An Aggregate Game Approach

Fast and Efficient Locomotion via Learned Gait Transitions