YG
Yang Gao
Beijing Institute of Technology
Research areas: Computer Science · Artificial Intelligence · Topic Modeling · Natural Language Processing Techniques · Advanced Text Analysis Techniques
Employment
- 2015 - Present
Education
Education history is unavailable.
Projects & Funding
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Incorporating Semantic-similarity and relatedness for deep topic modelling National Natural Science Foundation of China2017 - 2019
Publications (22)
- Retrieval is NOT always needed: Exploring the timing of retrieval in dynamic retrieval-augmented generation Save
- Planner Policies Are Bias Learners: A Comprehensive Analysis of Preference Bias in LLM-based Dialogue Planner Policies Save
- ExMe: Keep Improving With Extrapolation and Merging Save
- Dynamic token halting for efficient abstractive summarization with importance-aware regularization Save
- Fusing generation task data to enhance generalization of LLMs in zero-shot relational triplet extraction Save
- Fundamental Capabilities and Applications of Large Language Models: A Survey Save
- Research on photovoltaic power forecasting driven by data characteristics Save
- DRMSpell: dynamically reweighting multimodality for Chinese spelling correction Save
- Enhancing consistency with the fusion of paralleled decoders for text generation Save
- RS-BERT: Pre-training radical enhanced sense embedding for Chinese word sense disambiguation Save
- Latent representation discretization for unsupervised text style generation Save
- Domain Adaptation and Summary Distillation for Unsupervised Query Focused Summarization Save
- MindLLM: Lightweight large language model pre-training, evaluation and domain application Save
- Query focused summarization via relevance distillation Save
- TopicBERT: A Topic-Enhanced Neural Language Model Fine-Tuned for Sentiment Classification Save
- TCM-SD: A Benchmark for Probing Syndrome Differentiation via Natural Language Processing Save
- A Fuzzy Word Similarity Measure for Selecting Top-$k$ Similar Words in Query Expansion Save
- Neural abstractive summarization fusing by global generative topics Save
- Jointly Learning Topics in Sentence Embedding for Document Summarization Save
- Finding Semantically Valid and Relevant Topics by Association-Based Topic Selection Model Save