Nannan Huang

5 papers · 2023–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird ❓ The Questioner

Venues

ACL (2) EMNLP (2) EACL (1)

Top co-authors

Xiuzhen Zhang (4) Haytham Fayek (2) Haytham M. Fayek (2) Lin Tian (1) Junichi Yamagishi (1) Iffat Maab (1)

Research topics

Artificial Intelligence (4) Machine Learning (4) Application Areas (4) Core AI (4) Natural Language Processing (2) Generation (2) Core Methods (1)

Keywords

opinion summarization (3) political bia (2) prompt engineering (1) text summarization (1) model adaptation (1) model pruning (1) fairness metric (1) bias mitigation (1) pre-trained model (1) fairness evaluation (1) abstractive summarization (1) fairness in nlp (1) opinion diversity (1) large language model (1) opinion summarisation (1) frequency-based prompting (1) multi-document news summarisation (1) model compression (1) debiasing intervention (1) representation learning (1)

Papers

When Bigger Isn’t Better: A Comprehensive Fairness Evaluation of Political Bias in Multi-News Summarisation ACL 2026 Less Is More? Examining Fairness in Pruned Large Language Models for Summarising Opinions EMNLP 2025 REFER: Mitigating Bias in Opinion Summarisation via Frequency Framed Prompting EMNLP 2025 Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias EACL 2024 Examining Bias in Opinion Summarisation through the Perspective of Opinion Diversity ACL 2023