Welcome to the ONE Lab, a research group dedicated to Ongoing NLP Exploration and led by Prof. Xiaojun Wan, affiliated with the Wangxuan Institute of Computer Technology, Peking University. Our research interests include Natural Language Processing and Deep Learning, and we have recently focused on NLG evaluation, faithfulness and safety of LLMs, and cross-modal generation.
ONE Lab
Popular repositories Loading
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LLM-evaluator-reliability
LLM-evaluator-reliability PublicThe official repository for our ACL 2024 paper: Are LLM-based Evaluators Confusing NLG Quality Criteria?
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Knowledge_boundary
Knowledge_boundary Public[ACL 2024] Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation
Python 2
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AuthorAwareDetection
AuthorAwareDetection PublicThe official repository for our ACL 2025 paper, "Who Writes What: Unveiling the Impact of Author Roles on AI-generated Text Detection"
Repositories
- PaCoST Public
The official implementation repository for our EMNLP 2024 Findings paper, PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models.
- R-Bind Public
The official implementation repository for our EMNLP 2025 paper, R-Bind: Unified Enhancement of Attribute and Relation Binding in Text-to-Image Diffusion Models.
- AuthorAwareDetection Public
The official repository for our ACL 2025 paper, "Who Writes What: Unveiling the Impact of Author Roles on AI-generated Text Detection"
- where-do-llms-go-wrong Public
Code, dataset links, and diagnostic CLI for evaluating automated peer-review systems via aspect-guided perturbations.
- NLG-DualEval Public
The official repository for our ACL 2025 paper: A Dual-Perspective NLG Meta-Evaluation Framework with Automatic Benchmark and Better Interpretability
- LLM-evaluator-reliability Public
The official repository for our ACL 2024 paper: Are LLM-based Evaluators Confusing NLG Quality Criteria?
- Themis Public
The official repository for our EMNLP 2024 paper, Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability.
- Godel_Agent Public
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