BioEVAL: A global, multi-institutional benchmark of large language and multimodal models for bioengineering

arXiv:2609.30489 · cs.AI · Submitted 2026-09-24 · Read on arXiv

cs.AI

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Benchmark — 106× in this paper · explained in 2 episodes
• Accuracy — 96× in this paper · explained in 1 episode
• Multimodal Reasoning — 20× in this paper · explained in 5 episodes
• Semantic Similarity — 13× in this paper · explained in 2 episodes
• Benchmarking — 10× in this paper · explained in 3 episodes
• Alignment — 6× in this paper · explained in 1 episode
• Latent Reasoning — 6× in this paper · explained in 2 episodes
• Semantic Alignment — 6× in this paper · explained in 3 episodes
• Foundation Model — 4× in this paper · explained in 3 episodes
• Foundation Models — 4× in this paper · explained in 7 episodes
• Clustering — 3× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Failure Modes — 3× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 3× in this paper · explained in 6 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• AI Foundation Model — 1× in this paper · explained in 1 episode
• Abstention — 1× in this paper · explained in 1 episode
• Accountability — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Commentary — 1× in this paper · explained in 2 episodes
• Data Fusion — 1× in this paper · explained in 3 episodes
• Ensemble Approach — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Institute for Basic Science — 1× in this paper
• Mixture-of-Experts (MoE) — 1× in this paper · explained in 7 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• AI and the Everything in the Whole Wide World Benchmark
• Holistic Evaluation of Language Models
• A Survey of Large Language Models in Medicine: Progress, Application, and Challenge
• LAB-Bench: Measuring Capabilities of Language Models for Biology Research
• BioProBench: A Corpus and Benchmark for Biological Protocol Reasoning in Autonomous Science
• GPQA: A Graduate-Level Google-Proof Q&A Benchmark
• Evaluating Large Language Models in Scientific Discovery
• SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
• PathVQA: 30000+ Questions for Medical Visual Question Answering
• Measuring Massive Multitask Language Understanding

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