2 papers
q-bio.QM2026
TadA-Bench: A Million-Variant Benchmark for Future-Round Discovery Toward Agentic Protein Engineering
Jin Gao, Juntu Zhao, Zirui Zeng +5
AI for scientific discovery is entering an agentic era, where protein-engineering systems are expected to prioritize future wet-lab experiments rather than merely fit static measur…
cs.AI2025
VERITAS: Leveraging Vision Priors and Expert Fusion to Improve Multimodal Data
Tingqiao Xu, Ziru Zeng, Jiayu Chen
The quality of supervised fine-tuning (SFT) data is crucial for the performance of large multimodal models (LMMs), yet current data enhancement methods often suffer from factual er…