InstructBioMol: Advancing Biomolecule Understanding and Design Following Human Instructions
Paper
•
2410.07919
•
Published
•
1
AI & ML interests
The team is committed to explore Knowledge Graphs, Large Language Models and other modern AI technologies to advance scientific discovery.
XiangZH
authored
a
paper
4 months ago
Kehua
authored
a
paper
4 months ago
XiangZH
updated
3
models
4 months ago
Kehua
updated
a
dataset
5 months ago
Kehua
authored
5
papers
6 months ago
FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios
Paper
•
2307.13528
•
Published
•
1
SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models
Paper
•
2406.09098
•
Published
•
1
InstructBioMol: Advancing Biomolecule Understanding and Design Following Human Instructions
Paper
•
2410.07919
•
Published
•
1
ERPO: Advancing Safety Alignment via Ex-Ante Reasoning Preference Optimization
Paper
•
2504.02725
•
Published
•
1
Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition
Paper
•
2404.08008
•
Published
•
1
XiangZH
updated
a
collection
7 months ago
XiangZH
published
3
models
7 months ago
huajunsir
authored
3
papers
10 months ago
LightThinker: Thinking Step-by-Step Compression
Paper
•
2502.15589
•
Published
•
31
How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training
Paper
•
2502.11196
•
Published
•
23
ReLearn: Unlearning via Learning for Large Language Models
Paper
•
2502.11190
•
Published
•
30