Peer Review Dynamics in AI Research

How to Use AI for Research Without Getting Hallucinated Facts

Asking ChatGPT factual questions is risky — it confidently invents citations. The fix is using research-grounded AI tools like Perplexity, ChatGPT search, Claude with web search, and NotebookLM that ground responses in real sources you can verify. Same convenience, much higher accuracy.

Ethics Testing: Proactive Identification of Generative AI System Harms

Generative Artificial Intelligence (GAI) systems that can automatically generate content in the form of source code or other contents (e.g., images) has seen increasing popularity due to the emergence of tools such as ChatGPT which rely on Large Language Models (LLMs). Misuse of the automatically generated content can incur serious consequences due to potential harms in the generated content. Desp

Mochi: Aligning Pre-training and Inference for Efficient Graph Foundation Models via Meta-Learning

We propose Mochi, a Graph Foundation Model that addresses task unification and training efficiency by adopting a meta-learning based training framework. Prior models pre-train with reconstruction-based objectives such as link prediction, and assume that the resulting representations can be aligned with downstream tasks through a separate unification step such as class prototypes. We demonstrate th

Understanding the Peer Review Process in AI Research

The peer review process is crucial in the development of AI and machine learning research. It involves evaluating submissions by experts in the field to ensure quality, validity, and originality before publication. Understanding its dynamics can help researchers navigate the complexities of feedback and scoring.

MolClaw: An Autonomous Agent with Hierarchical Skills for Drug Molecule Evaluation, Screening, and Optimization

MolClaw is a groundbreaking autonomous agent designed for drug discovery that enhances the evaluation, screening, and optimization of drug molecules. By integrating over 30 specialized resources into a hierarchical system, it tackles complex workflows that current AI systems struggle to manage effectively.