Accelerating Scientific Research with Gemini in the Real-World
cs.AI
Submitted: 2026-08-27
Updated: 2026-08-27
Code: https://github.com/QwenLM/Qwen3
Terminology
Sources
- GPT-4 Technical Report
- AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprise
- LitLLMs, LLMs for Literature Review: Are we there yet?
- LitSearch: A Retrieval Benchmark for Scientific Literature Search
- Extremal Chowla sets and their linear analogues: A human-AI mathematical investigation using Co-Scientist
- Concrete Problems in AI Safety
- Frontier AI Regulation: Managing Emerging Risks to Public Safety
- AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents
- HealthBench: Evaluating Large Language Models Towards Improved Human Health
- An AI system to help scientists write expert-level empirical software
- ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models
- Qwen Technical Report
- Reducing hallucination in structured outputs via Retrieval-Augmented Generation
- Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?
- Early science acceleration experiments with GPT-5
- Universal Sentence Encoder
- MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering
- Your Agent Can Defend Itself against Backdoor Attacks
- MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research
- ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery
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