Papers by Haitao Jiang

2 papers
Locally Aggregated Feature Attribution on Natural Language Model Understanding (2022.naacl-main)

Copied to clipboard

Challenge: a growing popularity of deep-learning models makes model understanding more important . feature attribution methods have shown promising results in computer vision but are not trivial .
Approach: They propose a gradient-based feature attribution method that smooths gradients by aggregating similar reference texts derived from language model embeddings.
Outcome: The proposed method outperforms existing methods on public datasets and key words detection tasks.
Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark (2025.coling-main)

Copied to clipboard

Challenge: Recent work has noted that due to the extremely high cost of iterative updates of LLMs, they are often unable to answer dynamic questions well.
Approach: They propose a Chinese Dynamic QA benchmark containing question-answer pairs related to the latest dynamic questions on the Chinese Internet.
Outcome: The proposed benchmark will be one of the key data resources for improving LLMs’ Chinese question-answering ability in the future.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations