All Explained Papers — Page 8

arXiv:2605.14967 · cs.LG+1 · submitted 2026-05-14 · explained 2026-05-17

InfoSFT: Learn More and Forget Less with Information-Aware Token Weighting

Mahdi Sabbaghi, George Pappas, Adel Javanmard, et al.

arXiv:2605.14981 · cs.LG · submitted 2026-05-14 · explained 2026-05-17

Distance-Matrix Wasserstein Statistics for Scalable Gromov--Wasserstein Learning

Ao Xu, Tieru Wu

arXiv:2605.14982 · cs.LG+1 · submitted 2026-05-14 · explained 2026-05-17

Second-Order Actor-Critic Methods for Discounted MDPs via Policy Hessian Decomposition

Sanjeev Manivannan, Shuban V

arXiv:2605.15009 · cs.LG · submitted 2026-05-14 · explained 2026-05-17

DeepTokenEEG: Enhancing Mild Cognitive Impairment and Alzheimer’s Classification via Tokenized EEG Features

Thinh Nguyen-Quang, Minh Long Ngo, Ngoc-Son Nguyen, et al.

arXiv:2605.15012 · cs.LG+2 · submitted 2026-05-14 · explained 2026-05-17

Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance

Kai Yan, Alexander G. Schwing, Yu-Xiong Wang

arXiv:2605.15018 · cs.LG+1 · submitted 2026-05-14 · explained 2026-05-17

Generalized Priority-Aware Shapley Value

Kiljae Lee, Ziqi Liu, Weijing Tang, et al.

arXiv:2605.15035 · cs.LG · submitted 2026-05-14 · explained 2026-05-17

TopoPrimer: The Missing Topological Context in Forecasting Models

Zara Zetlin, Kayhan Moharreri, Maria Safi

arXiv:2605.15050 · cs.LG · submitted 2026-05-14 · explained 2026-05-17

Separating Intrinsic Ambiguity from Estimation Uncertainty in Deep Generative Models for Linear Inverse Problems

Yuxin Guo, Dongrui Deng, Pulkit Grover

arXiv:2605.14912 · cs.AI+3 · submitted 2026-05-14 · explained 2026-05-16

From Sycophantic Consensus to Pluralistic Repair: Why AI Alignment Must Surface Disagreement

Varad Vishwarupe, Nigel Shadbolt, Marina Jirotka

arXiv:2605.14968 · cs.AI · submitted 2026-05-14 · explained 2026-05-16

GraphFlow: An Architecture for Formally Verifiable Visual

Drewry H. Morris V, Luis Valles, Reza Hosseini Ghomi

arXiv:2605.14995 · cs.AI+3 · submitted 2026-05-14 · explained 2026-05-16

Explainable Detection of Depression Status Shifts from User Digital Traces

Loris Belcastro, Francesco Gervino, Fabrizio Marozzo, et al.

arXiv:2605.14998 · cs.AI+2 · submitted 2026-05-14 · explained 2026-05-16

Learning Developmental Scaffoldings to Guide Self-Organisation

Milton L. Montero, Elias Najarro, Jakob Schauser, et al.

arXiv:2605.15015 · cs.AI+2 · submitted 2026-05-14 · explained 2026-05-16

Small, Private Language Models as Teammates for Educational Assessment Design

Chris Davis Jaldi, Anmol Saini, Shan Zhang, et al.

arXiv:2605.15040 · cs.AI+1 · submitted 2026-05-14 · explained 2026-05-16

Orchard: An Open-Source Agentic Modeling Framework

Baolin Peng, Wenlin Yao, Qianhui Wu, et al.

arXiv:2605.15041 · cs.AI+1 · submitted 2026-05-14 · explained 2026-05-16

Case-Based Calibration of Adaptive Reasoning and Execution for LLM Tool Use

Renning Pang, Tian Lan, Leyuan Liu, et al.

arXiv:2605.15100 · cs.AI · submitted 2026-05-14 · explained 2026-05-16

Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling

Rongman Xu, Yifei Li, Tianzhe Zhao, et al.

arXiv:2605.15109 · cs.AI+1 · submitted 2026-05-14 · explained 2026-05-16

Why Neighborhoods Matter: Traversal Context and Provenance in Agentic GraphRAG

Riccardo Terrenzi, Maximilian von Zastrow, Serkan Ayvaz

arXiv:2605.15132 · cs.AI+2 · submitted 2026-05-14 · explained 2026-05-16

A Distributed Architecture for Parallelizable Agentic Workflows

Evan Rose, Tushin Mallick, Matthew D. Laws, et al.

arXiv:2605.15177 · cs.AI · submitted 2026-05-14 · explained 2026-05-16

OpenDeepThink: Parallel Reasoning via Bradley--Terry Aggregation

Shang Zhou, Wenhao Chai, Kaiyuan Liu, et al.

arXiv:2605.13829 · explained 2026-05-14

Negation Neglect: models fail to learn negations in training