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A foundation model of numerical intelligence with cross-disciplinary generalization
Researchers introduce UNified In-Context Operator Networks (UNICON), a new AI model that can understand and solve numerical problems across various scientific and social systems. The model uses graph-based examples to…
Non--negative matrix factorization using the extit{R} package extsf{nnmf}
The paper introduces a new R package for Non-negative Matrix Factorization (NMF) and compares its performance with two other widely used NMF packages in R. Instead of using simulated data, the comparison is based on…
Game Theory Driven Multi-Agent Framework Mitigates Language Model Hallucination
Researchers present G-Frame, a new framework that uses artificial intelligence (AI) to create a high-quality dataset and train a model called OmniChem. This model performs as well as another AI model (GPT 4o mini) on…
Program-as-Weights: A Programming Paradigm for Fuzzy Functions
The authors propose a new programming paradigm called fuzzy-function programming, which compiles natural language specifications into compact, locally executable neural artifacts using a 4B compiler trained on a large…
ECHO: Prune to act, trace to learn with selective turn memory in agentic RL
Researchers propose ECHO, a selective turn-memory framework to address limitations of existing context management methods in long-horizon language agents. ECHO compresses completed environment turns into compact memory…
Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning
Researchers introduce a new method called PEEU (Planning Experience Exploration and Utilization) to improve the task planning capabilities of small, open-source Multimodal Language Learning Models (MLLMs). These models…
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