This is the github space for SUSTech-NLP group. The faculty member of SUSTech-NLP group is CHEN Guanhua from Department of Statistics and Data Science in Southern University of Science and Technology, China.
Our group focuses on data synthesis and complex reasoning of large language models, multimodal and embodied AI. Please refer here for more details of our research.
Forked from zwRuan/LayAlign
[In Findings of NAACL 2025] The official implementation of the paper “LayAlign: Enhancing Multilingual Reasoning in Large Language Models via Layer-Wise Adaptive Fusion and Alignment Strategy”
[In Findings of ACL 2025] The official implementation of the paper “Tag-Instruct: Controlled Instruction Complexity Enhancement through Structure-based Augmentation”
Python 2
Forked from zwRuan/emnlp25-g2
[EMNLP 2025] The official implementation of the paper "G2: Guided Generation for Enhanced Output Diversity in LLMs"
Python 2
Forked from YannnnnnY/ImPart
[ACL 2025] ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs
Python 1
[ICLR 2026] The official implementation of the paper “BiasScope: Towards Automated Detection of Bias in LLM-as-a-Judge Evaluation“”
[In Findings of ACL 2025] The official implementation of the paper “FANNO: Augmenting High-Quality Instruction Data with Open-Sourced LLMs Only”
From Word to World: Can Large Language Models be Implicit Text-based World Models?
[EMNLP 2025] The official implementation of the paper "G2: Guided Generation for Enhanced Output Diversity in LLMs"
[Findings of EMNLP 2025] Pi-SQL: Enhancing Text-to-SQL with Fine-Grained Guidance from Pivot Programming Languages
[NeurIPS 2025] The official implementation of the paper “Beyond the Surface: Enhancing LLM-as-a-Judge Alignment with Human via Internal Representations”
[In Findings of ACL 2025] The official implementation of the paper “Tag-Instruct: Controlled Instruction Complexity Enhancement through Structure-based Augmentation”
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