Academic

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Academic · 1 min

How RL Unlocks the Aha Moment in Geometric Interleaved Reasoning

arXiv:2603.01070v1 Announce Type: new Abstract: Solving complex geometric problems inherently requires interleaved reasoning: a tight alternation between constructing diagrams and performing logical deductions. Although recent …

Xiangxiang Zhang, Caijun Jia, Siyuan Li, Dingyu He, Xiya Xiong, Zheng Sun, Honghao He, Yuchen Wu, Bihui Yu, Linzhuang Sun, Cheng Tan, Jingxuan Wei

5 views Mar 4

Academic · 1 min

Transit Network Design with Two-Level Demand Uncertainties: A Machine Learning and Contextual Stochastic Optimization Framework

arXiv:2603.00010v1 Announce Type: new Abstract: Transit Network Design is a well-studied problem in the field of transportation, typically addressed by solving optimization models under fixed …

Hongzhao Guan, Beste Basciftci, Pascal Van Hentenryck

20 views Mar 4

Academic · 1 min

StaTS: Spectral Trajectory Schedule Learning for Adaptive Time Series Forecasting with Frequency Guided Denoiser

arXiv:2603.00037v1 Announce Type: new Abstract: Diffusion models have been used for probabilistic time series forecasting and show strong potential. However, fixed noise schedules often produce …

Jintao Zhang, Zirui Liu, Mingyue Cheng, Xianquan Wang, Zhiding Liu, Qi Liu

4 views Mar 4

Academic · 1 min

CARE: Confounder-Aware Aggregation for Reliable LLM Evaluation

arXiv:2603.00039v1 Announce Type: new Abstract: LLM-as-a-judge ensembles are the standard paradigm for scalable evaluation, but their aggregation mechanisms suffer from a fundamental flaw: they implicitly …

Jitian Zhao, Changho Shin, Tzu-Heng Huang, Satya Sai Srinath Namburi GNVV, Frederic Sala

25 views Mar 4

Academic · 1 min

Attn-QAT: 4-Bit Attention With Quantization-Aware Training

arXiv:2603.00040v1 Announce Type: new Abstract: Achieving reliable 4-bit attention is a prerequisite for end-to-end FP4 computation on emerging FP4-capable GPUs, yet attention remains the main …

Peiyuan Zhang, Matthew Noto, Wenxuan Tan, Chengquan Jiang, Will Lin, Wei Zhou, Hao Zhang

19 views Mar 4

Academic · 1 min

Econometric vs. Causal Structure-Learning for Time-Series Policy Decisions: Evidence from the UK COVID-19 Policies

arXiv:2603.00041v1 Announce Type: new Abstract: Causal machine learning (ML) recovers graphical structures that inform us about potential cause-and-effect relationships. Most progress has focused on cross-sectional …

Bruno Petrungaro, Anthony C. Constantinou

25 views Mar 4

Academic · 1 min

Maximizing the Spectral Energy Gain in Sub-1-Bit LLMs via Latent Geometry Alignment

arXiv:2603.00042v1 Announce Type: new Abstract: We identify the Spectral Energy Gain in extreme model compression, where low-rank binary approximations outperform tiny-rank floating-point baselines for heavy-tailed …

Banseok Lee, Youngmin Kim

13 views Mar 4

Academic · 1 min

Reinforcement Learning for Control with Probabilistic Stability Guarantee: A Finite-Sample Approach

arXiv:2603.00043v1 Announce Type: new Abstract: This paper presents a novel approach to reinforcement learning (RL) for control systems that provides probabilistic stability guarantees using finite …

Minghao Han, Lixian Zhang, Chenliang Liu, Zhipeng Zhou, Jun Wang, Wei Pan

3 views Mar 4

Academic · 1 min

Property-Driven Evaluation of GNN Expressiveness at Scale: Datasets, Framework, and Study

arXiv:2603.00044v1 Announce Type: new Abstract: Advancing trustworthy AI requires principled software engineering approaches to model evaluation. Graph Neural Networks (GNNs) have achieved remarkable success in …

Sicong Che, Jiayi Yang, Sarfraz Khurshid, Wenxi Wang

12 views Mar 4

Academic · 1 min

Breaking the Factorization Barrier in Diffusion Language Models

arXiv:2603.00045v1 Announce Type: new Abstract: Diffusion language models theoretically allow for efficient parallel generation but are practically hindered by the "factorization barrier": the assumption that …

Ian Li, Zilei Shao, Benjie Wang, Rose Yu, Guy Van den Broeck, Anji Liu

20 views Mar 4

Academic · 1 min

REMIND: Rethinking Medical High-Modality Learning under Missingness--A Long-Tailed Distribution Perspective

arXiv:2603.00046v1 Announce Type: new Abstract: Medical multi-modal learning is critical for integrating information from a large set of diverse modalities. However, when leveraging a high …

Chenwei Wu, Zitao Shuai, Liyue Shen

11 views Mar 4

Academic · 1 min

BiJEPA: Bi-directional Joint Embedding Predictive Architecture for Symmetric Representation Learning

arXiv:2603.00049v1 Announce Type: new Abstract: Self-Supervised Learning (SSL) has shifted from pixel-level reconstruction to latent space prediction, spearheaded by the Joint Embedding Predictive Architecture (JEPA). …

Yongchao Huang

20 views Mar 4

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Academic

How RL Unlocks the Aha Moment in Geometric Interleaved Reasoning

Transit Network Design with Two-Level Demand Uncertainties: A Machine Learning and Contextual Stochastic Optimization Framework

StaTS: Spectral Trajectory Schedule Learning for Adaptive Time Series Forecasting with Frequency Guided Denoiser

CARE: Confounder-Aware Aggregation for Reliable LLM Evaluation

Attn-QAT: 4-Bit Attention With Quantization-Aware Training

Econometric vs. Causal Structure-Learning for Time-Series Policy Decisions: Evidence from the UK COVID-19 Policies

Maximizing the Spectral Energy Gain in Sub-1-Bit LLMs via Latent Geometry Alignment

Reinforcement Learning for Control with Probabilistic Stability Guarantee: A Finite-Sample Approach

Property-Driven Evaluation of GNN Expressiveness at Scale: Datasets, Framework, and Study

Breaking the Factorization Barrier in Diffusion Language Models

REMIND: Rethinking Medical High-Modality Learning under Missingness--A Long-Tailed Distribution Perspective

BiJEPA: Bi-directional Joint Embedding Predictive Architecture for Symmetric Representation Learning

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