13 citations · 19 across the 5 of their papers we have counts for
8 papers
How to Detect and Defeat Molecular Mirage: A Metric-Driven Benchmark for Hallucination in LLM-based Molecular Comprehension
Hao Li, Liuzhenghao Lv, He Cao +6
Large language models are increasingly used in scientific domains, especially for molecular understanding and analysis. However, existing models are affected by hallucination issue…
Magic 1-For-1: Generating One Minute Video Clips within One Minute
Hongwei Yi, Shitong Shao, Tian Ye +7
In this technical report, we present Magic 1-For-1 (Magic141), an efficient video generation model with optimized memory consumption and inference latency. The key idea is simple:…
Navigating Chemical-Linguistic Sharing Space with Heterogeneous Molecular Encoding
Liuzhenghao Lv, Hao Li, Yu Wang +5
Chemical language models (CLMs) are prominent for their effectiveness in exploring chemical space and enabling molecular engineering. However, while exploring chemical-linguistic s…
Multi-granularity Score-based Generative Framework Enables Efficient Inverse Design of Complex Organics
Zijun Chen, Yu Wang, Liuzhenghao Lv +4
Efficiently retrieving an enormous chemical library to design targeted molecules is crucial for accelerating drug discovery, organic chemistry, and optoelectronic materials. Despit…
Optimal ANN-SNN Conversion with Group Neurons
Liuzhenghao Lv, Wei Fang, Li Yuan +1
Spiking Neural Networks (SNNs) have emerged as a promising third generation of neural networks, offering unique characteristics such as binary outputs, high sparsity, and biologica…
ProLLaMA: A Protein Large Language Model for Multi-Task Protein Language Processing
Liuzhenghao Lv, Zongying Lin, Hao Li +5
Recent advances in Protein Language Models (PLMs) have transformed protein engineering, yet unlike their counterparts in Natural Language Processing (NLP), current PLMs exhibit a f…
Deep peak property learning for efficient chiral molecules ECD spectra prediction
Hao Li, Da Long, Li Yuan +3
Chiral molecule assignation is crucial for asymmetric catalysis, functional materials, and the drug industry. The conventional approach requires theoretical calculations of electro…
Machine Mindset: An MBTI Exploration of Large Language Models
Jiaxi Cui, Liuzhenghao Lv, Jing Wen +4
We present a novel approach for integrating Myers-Briggs Type Indicator (MBTI) personality traits into large language models (LLMs), addressing the challenges of personality consis…