Current benchmarks for language agents fall short in assessing their ability to interact with humans or adhere to complex, domain-specific rules—essential for practical deployment. Real-world applications require agents to seamlessly engage with users and APIs over extended interactions, follow detailed policies, and maintain consistent and reliable performance. For example, an airline booking agent must communicate… →
The rapid evolution of artificial intelligence (AI) has given rise to a specialized branch known as AI agents. These agents are sophisticated systems designed to execute tasks within specific environments autonomously, leveraging machine learning and advanced algorithms to interact, learn, and adapt. Let’s explore the burgeoning infrastructure supporting AI agents and highlight several notable projects… →
The number of Kubernetes packages on the CNCF landscape has increased dramatically. With over 7 million developers utilizing Kubernetes, the open-source tool Helm, developed during a hackathon nine years ago, has emerged as the preferred solution. On the other hand, complicated workflows and non-standardized solutions result from Helm’s inability to meet the rising demand. Helm… →
CONCLUSIONS: Sivelestat can significantly reduce the levels of serum inflammatory factors, improve cardiac function, and reduce heart rate variability in patients with Sepsis-induced ARDS and SCM. →
Group Relative Policy Optimization (GRPO) is a novel reinforcement learning method introduced in the DeepSeekMath paper earlier this year. GRPO builds upon the Proximal Policy Optimization (PPO) framework, designed to improve mathematical reasoning capabilities while reducing memory consumption. This method offers several advantages, particularly suitable for tasks requiring advanced mathematical reasoning. Image Source Implementation of… →
We developed a composite symptom score (CSS) representing disease-related symptom burden over time in patients with malignant pleural mesothelioma (MPM). Longitudinal data were collected from an open-label Phase IIB study in which 239 patients completed the validated MD Anderson Symptom Inventory for MPM (MDASI-MPM). A blinded, independent review committee of external patient-reported outcomes experts advised… →
Epidermal growth factor receptor (EGFR) is reportedly overexpressed in most esophageal squamous cell carcinoma (ESCC) patients, but anti-EGFR treatments offer limited survival benefits. Our preclinical data showed the promising antitumor activity of afatinib in EGFR-overexpressing ESCC. This proof-of-concept, phase II trial assessed the efficacy and safety of afatinib in pretreated metastatic ESCC patients (n =… →
BACKGROUND: The mainstay of treatment for early-stage follicular lymphoma is local radiotherapy, with a possible role for anti-CD20 monoclonal antibody (mAb). We aimed to evaluate the effect of these treatments using a measurable residual disease (MRD)-driven approach. →