Yin, Bing
Amazon (United States)
6 papers on CoChatORCID 0000-0002-5890-0031
Most cited papers
- Verified
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Yang, J., Jin, H., Tang, R., Han, X., Feng, Q., Jiang, H., Yin, B., & Hu, X. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 644
- Verified
Harnessing the power of llms in practice: a survey on chatGPT and beyond
Yang, J., Jin, H., Tang, R., Han, X., Feng, Q., Jiang, H., Zhong, S., Yin, B., & Hu, X. (2024) · ACM Transactions on Knowledge Discovery from Data
Topic ModelingNatural Language Processing Techniques
Cited by 644
- Verified
Semantic Product Search
Nigam, P., Song, Y., Mohan, V., Lakshman, V., Ding, W. (., Shingavi, A., Teo, C. H., Gu, H., & Yin, B. (2019) · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
Information Retrieval and Search BehaviorTopic Modeling
Cited by 127
- Verified
Graph Reasoning for Question Answering with Triplet Retrieval
Li, S., Gao, Y., Jiang, H., Yin, Q., Li, Z., Yan, X., Zhang, C., & Yin, B. (2023) · Findings of the Association for Computational Linguistics: ACL 2023
Topic ModelingAdvanced Graph Neural Networks
Cited by 42
- Verified
COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon
Yu, C., Liu, X., Maia, J., Li, Y., Cao, T., Gao, Y., Song, Y., Goutam, R., Zhang, H., Yin, B., et al. (2024) · Companion of the 2024 International Conference on Management of Data
Topic ModelingSemantic Web and Ontologies
Cited by 13
- Verified
Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs
Cheng, K., Yang, J., Jiang, H., Wang, Z., Huang, B., Li, R., Li, S., Li, Z., Gao, Y., Li, X., et al. (2024) · arXiv
Topic ModelingLogic, Reasoning, and Knowledge
Cited by 4
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