Suqi Cheng

Pre-trained Language Model for Web-scale Retrieval in Baidu Search

2021

Retrieval is a crucial stage in web search that identifies a small set of query-relevant candidates from a billion-scale corpus. Discovering more semantically-related candidates in the retrieval stage is very promising to expose more high-quality …

Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking

2022 · arXiv (Cornell University)

Passage re-ranking is to obtain a permutation over the candidate passage set from retrieval stage. Re-rankers have been boomed by Pre-trained Language Models (PLMs) due to their overwhelming advantages in natural language understanding. However, existing …

LLMRec: Large Language Models with Graph Augmentation for Recommendation

2024

The problem of data sparsity has long been a challenge in recommendation systems, and previous studies have attempted to address this issue by incorporating side information. However, this approach often introduces side effects such as …