About Me
- Hello, I'm Wei Liu (刘维). Here are my Email, Github and Google
Scholar.
- 2014-2018: Bachelor of Communication Engineering in BUPT
- 2018-2021: Master of Computer Engineering in CIST Lab@BUPT
- 2021-2023: NLP Researcher, Tencent
- 2023.8-present: Working as a RA at THUNLP, supervised by Prof. Zhiyuan Liu
- Now I am hiring for research interns! See details here
Research Interests
- Natural Language Generation, especially on Compressing and Summarizing Languages.
- Develop robust, safe and efficient LLM Multi-Agent
Cooperation. It is still an early exploration and I am
interested in several potential research directions, including:
- Planning, memorizing, reasoning and scaling in LLM Multi-Agent
- Agents as proxy of Human
- Safe communication among agents
- Make multi-agent trajectory improve LLMs
Industrial Experience
- At Tencent, I aim to improve the performance of News Feed
Recommendations and Advertising.
- Improve the NLU ability for News Feed Recommendation by more accurate and controllable keyphrase prediction.
- Introducing non-commercial behaviors into advertising modeling through graph modeling.
- Model sequence behaviours and apply end-to-end feature quantization methods to perform stable feature engineering for Advertising.
- Diverse user interest modeling in a diffusion-model way.
- Achieve better efficiency/quality tradeoffs between single-tower and two-tower models during the recall/pre-rank stage in Advertising.
Publications
- Multi-Agents powered by LLMs:
- More Accurate and Controllable Keyphrase Prediction:
- More Comprehensive and Factual Summarization:
- paper code In Conclusion Not Repetition: Comprehensive Abstractive Summarization with Diversified Attention Based on Determinantal Point Processes. CoNLL 2021
- paper code Subjective Bias in Abstractive Summarization. Arxiv
- paper code CO2Sum: Contrastive Learning for Factual-Consistent Abstractive Summarization. Arxiv
- paper A Multi-View Abstractive Summarization Model Jointly Considering Semantics and Sentiment. CCIS 2018
- paper CIST@CLSciSumm-19: Automatic Scientific Paper Summarization with Citances and Facets. SIGIR 2019 shared task
- paper code Multi-lingual Wikipedia Summarization and Title Generation On Low Resource Corpus. RANLP 2019 shared task
- paper CIST@CL-SciSumm 2020, LongSumm 2020: Automatic Scientific Document Summarization. EMNLP 2020 shared task.