Dense retrieval has made significant advancements in information retriev...
Neural ranking models (NRMs) have undergone significant development and ...
Large language models (LLMs) like ChatGPT have gained increasing promine...
The Differentiable Search Index (DSI) is a novel information retrieval (...
Adversarial attacks have gained traction in order to identify potential
...
Large language models (LLMs) such as ChatGPT and GPT-4 have made signifi...
Knowledge graph completion (KGC) aims to infer missing knowledge triples...
While large-scale pre-trained language models like BERT have advanced th...
Despite recent success in machine reading comprehension (MRC), learning
...
BERT-based text ranking models have dramatically advanced the
state-of-t...
Despite the effectiveness of utilizing BERT for document ranking, the
co...
Query expansion aims to mitigate the mismatch between the language used ...
We present PARADE, an end-to-end Transformer-based model that considers
...
As the core component of Natural Language Processing (NLP) system, Langu...
Image captioning is a challenging task and attracting more and more atte...
Pseudo-relevance feedback (PRF) is commonly used to boost the performanc...