7 citations · 13 across the 5 of their papers we have counts for
6 papers
Sparsity-Aware Evolution for Model Merging
Huan Zhang, Yanjian Zhang, Guillaume Wisniewski +2
We propose a sparsity-aware evolutionary (SAE) framework for model merging that involves iterative pruning-merging cycles to act as a novel mutation operator. We incorporate the sp…
Towards Agentic Intelligence for Materials Science
Huan Zhang, Yizhan Li, Wenhao Huang +18
The convergence of artificial intelligence and materials science presents a transformative opportunity, but achieving true acceleration in discovery requires moving beyond task-iso…
What to Ask Next? Probing the Imaginative Reasoning of LLMs with TurtleSoup Puzzles
Mengtao Zhou, Sifan Wu, Huan Zhang +2
We investigate the capacity of Large Language Models (LLMs) for imaginative reasoning--the proactive construction, testing, and revision of hypotheses in information-sparse environ…
Seeing Beyond Words: MatVQA for Challenging Visual-Scientific Reasoning in Materials Science
Sifan Wu, Huan Zhang, Yizhan Li +3
The emergence of Multimodal Large Language Models (MLLMs) that integrate vision and language modalities has unlocked new potentials for scientific reasoning, outperforming prior be…
HoneyComb: A Flexible LLM-Based Agent System for Materials Science
Huan Zhang, Yu Song, Ziyu Hou +2
The emergence of specialized large language models (LLMs) has shown promise in addressing complex tasks for materials science. Many LLMs, however, often struggle with distinct comp…
HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science
Yu Song, Santiago Miret, Huan Zhang +1
We propose an instruction-based process for trustworthy data curation in materials science (MatSci-Instruct), which we then apply to finetune a LLaMa-based language model targeted…