Computation and Language

May 9, 2026

Graph Neural Networks: Charting New Territories in Robustness, Expressivity, and Real-World Impact

Latest 43 papers on graph neural networks: May. 9, 2026

May 9, 2026

Artificial Intelligence Computation and Language Machine Learning

Few-Shot Learning’s Next Frontier: From Robust Localization to Causal Reasoning and Cultural Nuance

Latest 6 papers on few-shot learning: May. 9, 2026

May 9, 2026

Artificial Intelligence Computation and Language Machine Learning

From BRICKS to ZipCCL: The Evolving Landscape of Transformer Models in AI/ML

Latest 21 papers on transformer models: May. 9, 2026

May 9, 2026

Artificial Intelligence Computation and Language Machine Learning

Natural Language Processing: Unpacking the Latest Breakthroughs in Evaluation, Efficiency, and Application

Latest 26 papers on natural language processing: May. 9, 2026

May 9, 2026

Artificial Intelligence Computation and Language Machine Learning

Machine Translation: Unpacking the Latest Breakthroughs in Multilingual AI

Latest 16 papers on machine translation: May. 9, 2026

May 9, 2026

Artificial Intelligence Computation and Language Machine Learning

LLM Agents: From Cognitive Fluency to Ethical Foundations and Trustworthy Autonomy

Latest 100 papers on agents: May. 9, 2026

May 9, 2026

Artificial Intelligence Computation and Language Machine Learning

$$p=0.5\implies \max(\text{signal})$$: The Sweet Spot for LLM Math Reasoning and Beyond

Latest 35 papers on mathematical reasoning: May. 9, 2026

May 9, 2026

Artificial Intelligence Computation and Language Computational Engineering, Finance, and Science

Unlocking Low-Resource Languages: Navigating the Digital Divide with AI

Latest 9 papers on low-resource languages: May. 9, 2026

May 9, 2026

Artificial Intelligence Computation and Language Machine Learning

Model Compression: Unlocking Efficiency and Performance in the AI Era

Latest 8 papers on model compression: May. 9, 2026

May 9, 2026

Artificial Intelligence Computation and Language Machine Learning

In-Context Learning: Decoding the Latest Breakthroughs from Foundation Models to Real-World Applications

Latest 35 papers on in-context learning: May. 9, 2026

Graph Neural Networks: Charting New Territories in Robustness, Expressivity, and Real-World Impact

Few-Shot Learning’s Next Frontier: From Robust Localization to Causal Reasoning and Cultural Nuance

From BRICKS to ZipCCL: The Evolving Landscape of Transformer Models in AI/ML

Natural Language Processing: Unpacking the Latest Breakthroughs in Evaluation, Efficiency, and Application

Machine Translation: Unpacking the Latest Breakthroughs in Multilingual AI

LLM Agents: From Cognitive Fluency to Ethical Foundations and Trustworthy Autonomy

$$p=0.5\implies \max(\text{signal})$$: The Sweet Spot for LLM Math Reasoning and Beyond

Unlocking Low-Resource Languages: Navigating the Digital Divide with AI

Model Compression: Unlocking Efficiency and Performance in the AI Era

In-Context Learning: Decoding the Latest Breakthroughs from Foundation Models to Real-World Applications

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