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Academic · 1 min

Communication-free Sampling and 4D Hybrid Parallelism for Scalable Mini-batch GNN Training

arXiv:2604.02651v1 Announce Type: new Abstract: Graph neural networks (GNNs) are widely used for learning on graph datasets derived from various real-world scenarios. Learning from extremely …

Cunyang Wei, Siddharth Singh, Aishwarya Sarkar, Daniel Nichols, Tisha Patel, Aditya K. Ranjan, Sayan Ghosh, Ali Jannesari, Nathan R. Tallent, Abhinav Bhatele

46 views Apr 6

Academic · 1 min

Improving Role Consistency in Multi-Agent Collaboration via Quantitative Role Clarity

arXiv:2604.02770v1 Announce Type: new Abstract: In large language model (LLM)-driven multi-agent systems, disobey role specification (failure to adhere to the defined responsibilities and constraints of …

Guoling Zhou, Wenpei Han, Fengqin Yang, Li Wang, Yingcong Zhou, Zhiguo Fu

18 views Apr 6

Academic · 1 min

VoxelCodeBench: Benchmarking 3D World Modeling Through Code Generation

arXiv:2604.02580v1 Announce Type: new Abstract: Evaluating code generation models for 3D spatial reasoning requires executing generated code in realistic environments and assessing outputs beyond surface-level …

Yan Zheng, Florian Bordes

22 views Apr 6

Academic · 1 min

FoE: Forest of Errors Makes the First Solution the Best in Large Reasoning Models

arXiv:2604.02967v1 Announce Type: new Abstract: Recent Large Reasoning Models (LRMs) like DeepSeek-R1 have demonstrated remarkable success in complex reasoning tasks, exhibiting human-like patterns in exploring …

Kehan Jiang, Haonan Dong, Zhaolu Kang, Zhengzhou Zhu, Guojie Song

25 views Apr 6

Academic · 1 min

From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation

arXiv:2604.02355v1 Announce Type: new Abstract: Combining Chain-of-Thought (CoT) with Reinforcement Learning (RL) improves text-to-image (T2I) generation, yet the underlying interaction between CoT's exploration and RL's …

Han Song, Yucheng Zhou, Jianbing Shen, Yu Cheng

30 views Apr 6

Academic · 1 min

Differentiable Symbolic Planning: A Neural Architecture for Constraint Reasoning with Learned Feasibility

arXiv:2604.02350v1 Announce Type: cross Abstract: Neural networks excel at pattern recognition but struggle with constraint reasoning -- determining whether configurations satisfy logical or physical constraints. …

Venkatakrishna Reddy Oruganti

25 views Apr 6

Academic · 1 min

InfoSeeker: A Scalable Hierarchical Parallel Agent Framework for Web Information Seeking

arXiv:2604.02971v1 Announce Type: new Abstract: Recent agentic search systems have made substantial progress by emphasising deep, multi-step reasoning. However, this focus often overlooks the challenges …

Ka Yiu Lee, Yuxuan Huang, Zhiyuan He, Huichi Zhou, Weilin Luo, Kun Shao, Meng Fang, Jun Wang

23 views Apr 6

Academic · 1 min

Let's Have a Conversation: Designing and Evaluating LLM Agents for Interactive Optimization

arXiv:2604.02666v1 Announce Type: new Abstract: Optimization is as much about modeling the right problem as solving it. Identifying the right objectives, constraints, and trade-offs demands …

Joshua Drossman, Alexandre Jacquillat, S\'ebastien Martin

44 views Apr 6

Academic · 1 min

ESL-Bench: An Event-Driven Synthetic Longitudinal Benchmark for Health Agents

arXiv:2604.02834v1 Announce Type: new Abstract: Longitudinal health agents must reason across multi-source trajectories that combine continuous device streams, sparse clinical exams, and episodic life events …

Chao Li, Cailiang Liu, Ang Gao, Kexin Deng, Shu Zhang, Langping Xu, Xiaotong Shi, Xionghao Ding, Jian Pei, Xun Jiang

22 views Apr 6

Academic · 1 min

Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling

arXiv:2112.07874v2 Announce Type: cross Abstract: We examine the extent to which, in principle, linguistic graph representations can complement and improve neural language modeling. With an …

Jakob Prange, Nathan Schneider, Lingpeng Kong

27 views Apr 6

Academic · 1 min

Matrix Profile for Time-Series Anomaly Detection: A Reproducible Open-Source Benchmark on TSB-AD

arXiv:2604.02445v1 Announce Type: new Abstract: Matrix Profile (MP) methods are an interpretable and scalable family of distance-based methods for time-series anomaly detection, but strong benchmark …

Chin-Chia Michael Yeh

67 views Apr 6

Academic · 1 min

Dependency-Guided Parallel Decoding in Discrete Diffusion Language Models

arXiv:2604.02560v1 Announce Type: new Abstract: Discrete diffusion language models (dLLMs) accelerate text generation by unmasking multiple tokens in parallel. However, parallel decoding introduces a distributional …

Liran Ringel, Ameen Ali, Yaniv Romano

29 views Apr 6

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Articles

Communication-free Sampling and 4D Hybrid Parallelism for Scalable Mini-batch GNN Training

Improving Role Consistency in Multi-Agent Collaboration via Quantitative Role Clarity

VoxelCodeBench: Benchmarking 3D World Modeling Through Code Generation

FoE: Forest of Errors Makes the First Solution the Best in Large Reasoning Models

From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation

Differentiable Symbolic Planning: A Neural Architecture for Constraint Reasoning with Learned Feasibility

InfoSeeker: A Scalable Hierarchical Parallel Agent Framework for Web Information Seeking

Let's Have a Conversation: Designing and Evaluating LLM Agents for Interactive Optimization

ESL-Bench: An Event-Driven Synthetic Longitudinal Benchmark for Health Agents

Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling

Matrix Profile for Time-Series Anomaly Detection: A Reproducible Open-Source Benchmark on TSB-AD

Dependency-Guided Parallel Decoding in Discrete Diffusion Language Models

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