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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23,221 to 23,280 of 61,117

Sample Selection Using Multi-Task Autoencoders in Federated Learning with Non-IID Data
Emre Ardıç, Yakup Genç
cs.CVcs.LGarXiv:2604.26116v12026
Spatial and Spatio-Temporal Log-Gaussian Cox Processes: Extending the Geostatistical Paradigm
Peter J. Diggle, Paula Moraga, Barry Rowlingson +1
stat.MEarXiv:1312.6536v12013
R$^3$-SQL: Ranking Reward and Resampling for Text-to-SQL
Hojae Han, Yeonseok Jeong, Seung-won Hwang +2
cs.SEcs.AIcs.CLarXiv:2604.25325v12026
Memanto: Typed Semantic Memory with Information-Theoretic Retrieval for Long-Horizon Agents
Seyed Moein Abtahi, Rasa Rahnema, Hetkumar Patel +3
cs.AIarXiv:2604.22085v12026
Convergent Evolution: How Different Language Models Learn Similar Number Representations
Deqing Fu, Tianyi Zhou, Mikhail Belkin +2
cs.CLcs.AIcs.LGarXiv:2604.20817v22026
On the Robustness of LLM-Based Dense Retrievers: A Systematic Analysis of Generalizability and Stability
Yongkang Li, Panagiotis Eustratiadis, Yixing Fan +1
cs.IRcs.CLarXiv:2604.16576v12026
CanViT: Toward Active-Vision Foundation Models
Yohaï-Eliel Berreby, Sabrina Du, Audrey Durand +1
cs.CVarXiv:2603.22570v22026
DiPO: Disentangled Perplexity Policy Optimization for Fine-grained Exploration-Exploitation Trade-Off
Xiaofan Li, Ming Yang, Zhiyuan Ma +9
cs.LGarXiv:2604.13902v12026
Elucidating the SNR-t Bias of Diffusion Probabilistic Models
Meng Yu, Lei Sun, Jianhao Zeng +2
cs.CVarXiv:2604.16044v12026
Bilinear Generalized Approximate Message Passing
Jason T. Parker, Philip Schniter, Volkan Cevher
cs.ITarXiv:1310.2632v32013
Reinforcement Learning via Value Gradient Flow
Haoran Xu, Kaiwen Hu, Somayeh Sojoudi +1
cs.LGcs.AIarXiv:2604.14265v12026
SpotSound: Enhancing Large Audio-Language Models with Fine-Grained Temporal Grounding
Luoyi Sun, Xiao Zhou, Zeqian Li +3
cs.SDcs.MMarXiv:2604.13023v22026
Consistency of spectral clustering in stochastic block models
Jing Lei, Alessandro Rinaldo
math.STstat.MLarXiv:1312.2050v32013
ROSE: An Intent-Centered Evaluation Metric for NL2SQL
Wenqi Pei, Shizheng Hou, Boyan Li +3
cs.DBcs.AIarXiv:2604.12988v12026
Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation
Yecheng Wu, Song Han, Hai Cai
cs.LGcs.AIarXiv:2604.13010v22026
Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models
Li Sun, Zhenhao Huang, Silei Chen +4
cs.LGarXiv:2603.00618v12026
Steered LLM Activations are Non-Surjective
Aayush Mishra, Daniel Khashabi, Anqi Liu
cs.AIcs.LGarXiv:2604.09839v22026
Tunable Soft Equivariance with Guarantees
Md Ashiqur Rahman, Lim Jun Hao, Jeremiah Jiang +2
cs.CVcs.LGarXiv:2603.26657v12026
RewardFlow: Generate Images by Optimizing What You Reward
Onkar Susladkar, Dong-Hwan Jang, Tushar Prakash +7
cs.CVcs.AIarXiv:2604.08536v12026
$p1$: Better Prompt Optimization with Fewer Prompts
Zhaolin Gao, Yu, Wang +4
cs.LGcs.CLarXiv:2604.08801v12026
FIT: A Large-Scale Dataset for Fit-Aware Virtual Try-On
Johanna Karras, Yuanhao Wang, Yingwei Li +1
cs.CVcs.GRarXiv:2604.08526v12026
In-Band Full-Duplex Wireless: Challenges and Opportunities
Ashutosh Sabharwal, Philip Schniter, Dongning Guo +3
cs.ITarXiv:1311.0456v32013
Cactus: Accelerating Auto-Regressive Decoding with Constrained Acceptance Speculative Sampling
Yongchang Hao, Lili Mou
cs.LGcs.AImath.OCarXiv:2604.04987v12026
Routes for breaching and protecting genetic privacy
Yaniv Erlich, Arvind Narayanan
q-bio.GNcs.CRstat.AParXiv:1310.3197v12013
Learning to Hint for Reinforcement Learning
Yu Xia, Canwen Xu, Zhewei Yao +2
cs.LGcs.AIcs.CLarXiv:2604.00698v12026
Efficient and Robust Absolute Pose Estimation via Gravity-Prior-Driven Transformation Decoupling and Pose Refinement
Hu Cao, Qianyi Yang, Xinyi Li +3
cs.CVarXiv:2609.00713v12026
Locally Confident, Globally Stuck: The Quality-Exploration Dilemma in Diffusion Language Models
Liancheng Fang, Aiwei Liu, Henry Peng Zou +7
cs.CLarXiv:2604.00375v12026
Parametric Social Identity Injection and Diversification in Public Opinion Simulation
Hexi Wang, Yujia Zhou, Bangde Du +2
cs.CLarXiv:2603.16142v22026
Navigating the Mirage: A Dual-Path Agentic Framework for Robust Misleading Chart Question Answering
Yanjie Zhang, Yafei Li, Rui Sheng +5
cs.CVcs.AIcs.MMarXiv:2603.28583v22026
FluidWorld: Reaction-Diffusion Dynamics as a Predictive Substrate for World Models
Fabien Polly
cs.LGarXiv:2603.21315v12026
PivotRL: High Accuracy Agentic Post-Training at Low Compute Cost
Junkeun Yi, Damon Mosk-Aoyama, Baihe Huang +9
cs.AIarXiv:2603.21383v12026
FeynRules 2.0 - A complete toolbox for tree-level phenomenology
Adam Alloul, Neil D. Christensen, Celine Degrande +2
hep-pharXiv:1310.1921v22013
Adaptive Layerwise Perturbation: Unifying Off-Policy Corrections for LLM RL
Chenlu Ye, Xuanchang Zhang, Yifan Hao +6
cs.LGcs.AIarXiv:2603.19470v32026
Understanding Behavior Cloning with Action Quantization
Haoqun Cao, Tengyang Xie
cs.LGstat.MLarXiv:2603.20538v12026
Structural Abstraction as an Inductive Bias for Non-Stationary Language Model Training
Elnaz Rahmati, Nona Ghazizadeh, Zhivar Sourati +2
cs.LGcs.CLarXiv:2603.17198v22026
Believe Your Model: Distribution-Guided Confidence Calibration
Xizhong Yang, Haotian Zhang, Huiming Wang +1
cs.LGarXiv:2603.03872v12026
Conservative Offline Robot Policy Learning via Posterior-Transition Reweighting
Wanpeng Zhang, Hao Luo, Sipeng Zheng +6
cs.ROarXiv:2603.16542v12026
CAM: Causal additive models, high-dimensional order search and penalized regression
Peter Bühlmann, Jonas Peters, Jan Ernest
stat.MEcs.LGstat.MLarXiv:1310.1533v22013
Neural Field Thermal Tomography: A Differentiable Physics Framework for Non-Destructive Evaluation
Tao Zhong, Yixun Hu, Dongzhe Zheng +2
cs.LGcond-mat.mtrl-scics.AIarXiv:2603.11045v22026
Code-A1: Adversarial Evolving of Code LLM and Test LLM via Reinforcement Learning
Aozhe Wang, Yuchen Yan, Nan Zhou +5
cs.CLarXiv:2603.15611v12026
Taming VAEs
Danilo Jimenez Rezende, Fabio Viola
stat.MLcs.LGarXiv:1810.00597v12018
VQQA: An Agentic Approach for Video Evaluation and Quality Improvement
Yiwen Song, Tomas Pfister, Yale Song
cs.CVcs.AIcs.LGarXiv:2603.12310v12026
Spectrum Matching: a Unified Perspective for Superior Diffusability in Latent Diffusion
Mang Ning, Mingxiao Li, Le Zhang +4
cs.CVarXiv:2603.14645v12026
ShotVerse: Advancing Cinematic Camera Control for Text-Driven Multi-Shot Video Creation
Songlin Yang, Zhe Wang, Xuyi Yang +7
cs.CVarXiv:2603.11421v22026
Stabilizing Reinforcement Learning for Diffusion Language Models
Jianyuan Zhong, Kaibo Wang, Ding Ding +5
cs.LGcs.AIarXiv:2603.06743v12026
ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning
Ruizhong Qiu, Hanqing Zeng, Yinglong Xia +15
cs.LGcs.CLarXiv:2603.10160v12026
$\nabla$-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent Space
Peihao Wang, Ruisi Cai, Zhen Wang +4
cs.LGarXiv:2603.04948v12026
General Agent Evaluation
Elron Bandel, Asaf Yehudai, Lilach Eden +12
cs.AIarXiv:2602.22953v22026
SciDER: Scientific Data-centric End-to-end Researcher
Ke Lin, Owais Aijaz, Yilin Lu +3
cs.AIcs.CLarXiv:2603.01421v32026
BandPO: Bridging Trust Regions and Ratio Clipping via Probability-Aware Bounds for LLM Reinforcement Learning
Yuan Li, Bo Wang, Yufei Gao +4
cs.LGcs.AIarXiv:2603.04918v12026
Accelerating Reinforcement Learning via MPC Solver-Gradient Guidance for Weights-varying MPC
Baha Zarrouki, Arslan Thobani, Jasper Hoffmann +6
cs.ROcs.LGeess.SYarXiv:2609.01061v12026
Truncated Step-Level Sampling with Process Rewards for Retrieval-Augmented Reasoning
Chris Samarinas, Haw-Shiuan Chang, Hamed Zamani
cs.CLcs.IRarXiv:2602.23440v42026
Pilot Beam Pattern Design for Channel Estimation in Massive MIMO Systems
Song Noh, Michael D. Zoltowski, Youngchul Sung +1
cs.ITarXiv:1309.7430v22013
Overconfident Errors Need Stronger Correction: Asymmetric Confidence Penalties for Reinforcement Learning
Yuanda Xu, Hejian Sang, Zhengze Zhou +2
cs.LGcs.AIarXiv:2602.21420v12026
Learning Personalized Agents from Human Feedback
Kaiqu Liang, Julia Kruk, Shengyi Qian +9
cs.AIcs.CLcs.LGarXiv:2602.16173v12026
Adam Improves Muon: Adaptive Moment Estimation with Orthogonalized Momentum
Minxin Zhang, Yuxuan Liu, Hayden Schaeffer
cs.LGmath.OCarXiv:2602.17080v22026
MolHIT: Advancing Molecular-Graph Generation with Hierarchical Discrete Diffusion Models
Hojung Jung, Rodrigo Hormazabal, Jaehyeong Jo +5
cs.AIarXiv:2602.17602v12026
SARAH: Spatially Aware Real-time Agentic Humans
Evonne Ng, Siwei Zhang, Zhang Chen +2
cs.CVarXiv:2602.18432v12026
Geometry-Based Vehicle-to-Vehicle Channel Modeling for Large-Scale Simulation
Mate Boban, Joao Barros, Ozan K. Tonguz
cs.NIarXiv:1305.0124v32013
STAPO: Stabilizing Reinforcement Learning for LLMs by Silencing Rare Spurious Tokens
Shiqi Liu, Zeyu He, Guojian Zhan +10
cs.CLcs.AIarXiv:2602.15620v52026

Every paper with a summary

Sample Selection Using Multi-Task Autoencoders in Federated Learning with Non-IID Data

Spatial and Spatio-Temporal Log-Gaussian Cox Processes: Extending the Geostatistical Paradigm

R$^3$-SQL: Ranking Reward and Resampling for Text-to-SQL

Memanto: Typed Semantic Memory with Information-Theoretic Retrieval for Long-Horizon Agents

Convergent Evolution: How Different Language Models Learn Similar Number Representations

On the Robustness of LLM-Based Dense Retrievers: A Systematic Analysis of Generalizability and Stability

CanViT: Toward Active-Vision Foundation Models

DiPO: Disentangled Perplexity Policy Optimization for Fine-grained Exploration-Exploitation Trade-Off

Elucidating the SNR-t Bias of Diffusion Probabilistic Models

Bilinear Generalized Approximate Message Passing

Reinforcement Learning via Value Gradient Flow

SpotSound: Enhancing Large Audio-Language Models with Fine-Grained Temporal Grounding

Consistency of spectral clustering in stochastic block models

ROSE: An Intent-Centered Evaluation Metric for NL2SQL

Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation

Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models

Steered LLM Activations are Non-Surjective

Tunable Soft Equivariance with Guarantees

RewardFlow: Generate Images by Optimizing What You Reward

$p1$: Better Prompt Optimization with Fewer Prompts

FIT: A Large-Scale Dataset for Fit-Aware Virtual Try-On

In-Band Full-Duplex Wireless: Challenges and Opportunities

Cactus: Accelerating Auto-Regressive Decoding with Constrained Acceptance Speculative Sampling

Routes for breaching and protecting genetic privacy

Learning to Hint for Reinforcement Learning

Efficient and Robust Absolute Pose Estimation via Gravity-Prior-Driven Transformation Decoupling and Pose Refinement

Locally Confident, Globally Stuck: The Quality-Exploration Dilemma in Diffusion Language Models

Parametric Social Identity Injection and Diversification in Public Opinion Simulation

Navigating the Mirage: A Dual-Path Agentic Framework for Robust Misleading Chart Question Answering

FluidWorld: Reaction-Diffusion Dynamics as a Predictive Substrate for World Models

PivotRL: High Accuracy Agentic Post-Training at Low Compute Cost

FeynRules 2.0 - A complete toolbox for tree-level phenomenology

Adaptive Layerwise Perturbation: Unifying Off-Policy Corrections for LLM RL

Understanding Behavior Cloning with Action Quantization

Structural Abstraction as an Inductive Bias for Non-Stationary Language Model Training

Believe Your Model: Distribution-Guided Confidence Calibration

Conservative Offline Robot Policy Learning via Posterior-Transition Reweighting

CAM: Causal additive models, high-dimensional order search and penalized regression

Neural Field Thermal Tomography: A Differentiable Physics Framework for Non-Destructive Evaluation

Code-A1: Adversarial Evolving of Code LLM and Test LLM via Reinforcement Learning

Taming VAEs

VQQA: An Agentic Approach for Video Evaluation and Quality Improvement

Spectrum Matching: a Unified Perspective for Superior Diffusability in Latent Diffusion

ShotVerse: Advancing Cinematic Camera Control for Text-Driven Multi-Shot Video Creation

Stabilizing Reinforcement Learning for Diffusion Language Models

ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning

$\nabla$-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent Space

General Agent Evaluation

SciDER: Scientific Data-centric End-to-end Researcher

BandPO: Bridging Trust Regions and Ratio Clipping via Probability-Aware Bounds for LLM Reinforcement Learning

Accelerating Reinforcement Learning via MPC Solver-Gradient Guidance for Weights-varying MPC

Truncated Step-Level Sampling with Process Rewards for Retrieval-Augmented Reasoning

Pilot Beam Pattern Design for Channel Estimation in Massive MIMO Systems

Overconfident Errors Need Stronger Correction: Asymmetric Confidence Penalties for Reinforcement Learning

Learning Personalized Agents from Human Feedback

Adam Improves Muon: Adaptive Moment Estimation with Orthogonalized Momentum

MolHIT: Advancing Molecular-Graph Generation with Hierarchical Discrete Diffusion Models

SARAH: Spatially Aware Real-time Agentic Humans

Geometry-Based Vehicle-to-Vehicle Channel Modeling for Large-Scale Simulation

STAPO: Stabilizing Reinforcement Learning for LLMs by Silencing Rare Spurious Tokens