Papers by SeungYoon Han

2 papers
Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online Trolling (2024.findings-emnlp)

Copied to clipboard

Challenge: Existing methods to counter trolling in online communities are not yet available to address the diversity of trolling behaviors.
Approach: They propose a method for generating counter-responses to trolls by aligning these strategies with human preferences across different trolled contexts.
Outcome: The proposed approach reduces negative effects of trolling and improves the online community environment.
EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation (2025.findings-acl)

Copied to clipboard

Challenge: Current retrieval-augmented generation systems struggle when retrieval models fail to rank the most relevant documents . existing extractive methods reduce latency but rely on independent, non-adaptive sentence selection .
Approach: They introduce an extractive context compression framework that enhances retrieval-augmented generation in question answering.
Outcome: EXIT surpasses existing compression methods and uncompressed baselines in QA accuracy . the framework reduces inference time and token count while preserving contextual dependencies .

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