Xiuzhen Zhang
28 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π Academic Marathon (7)
π
Academic Marathon
(7)
π
Cross-Pollinator
(9)
π
Renaissance Researcher
(5)
π§¬
Topic Evolution
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Keyword Champion
(2)
ποΈ
Keyword Collector
(119)
β‘
Prolific Year
(7)
π
Century Club
(25)
β
The Questioner
π₯
Unstoppable
(6)
Conferences
ACL (6)
EACL (5)
NAACL (5)
IJCAI (4)
AAAI (3)
EMNLP (3)
SEMEVAL (2)
Top co-authors
Keywords
large language model
(10)
opinion summarization
(4)
quantitative summarization
(4)
prompt engineering
(4)
numerical reasoning
(3)
opinion mining
(2)
key point analysis
(2)
instruction finetuning
(2)
rumour detection
(2)
sentiment analysis
(2)
social network
(2)
representation learning
(2)
causal inference
(2)
mechanism design
(2)
neural network
(2)
emotion recognition
(2)
medical imaging
(1)
argument mining
(1)
few-shot learning
(1)
sparse learning
(1)
Papers
Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought
EACL 2026
ARQUSUMM: Argument-aware Quantitative Summarization of Online Conversations
AAAI 2026
Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models
AAAI 2026
REFER: Mitigating Bias in Opinion Summarisation via Frequency Framed Prompting
EMNLP 2025
Teaching Large Language Models Number-Focused Headline Generation With Key Element Rationales
NAACL 2025
QQSUM: A Novel Task and Model of Quantitative Query-Focused Summarization for Review-based Product Question Answering
ACL 2025
Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors
ACL 2025
Generating Grounded Responses to Counter Misinformation via Learning Efficient Fine-Grained Critiques
IJCAI 2025
LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models
NAACL 2025
Less Is More? Examining Fairness in Pruned Large Language Models for Summarising Opinions
EMNLP 2025
Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning
AAAI 2024
Prompted Aspect Key Point Analysis for Quantitative Review Summarization
ACL 2024
IgnitionInnovators at βDischarge Me!β: Chain-of-Thought Instruction Finetuning Large Language Models for Discharge Summaries
ACL 2024
Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias
EACL 2024
Aspect-based Key Point Analysis for Quantitative Summarization of Reviews
EACL 2024
CMA-R: Causal Mediation Analysis for Explaining Rumour Detection
EACL 2024
FairGT: A Fairness-aware Graph Transformer
IJCAI 2024
ZXQ at SemEval-2024 Task 7: Fine-tuning GPT-3.5-Turbo for Numerical Reasoning
NAACL 2024
GAVx at SemEval-2024 Task 10: Emotion Flip Reasoning via Stacked Instruction Finetuning of LLMs
NAACL 2024
ZXQ at SemEval-2024 Task 7: Fine-tuning GPT-3.5-Turbo for Numerical Reasoning
SEMEVAL 2024
GAVx at SemEval-2024 Task 10: Emotion Flip Reasoning via Stacked Instruction Finetuning of LLMs
SEMEVAL 2024
Task Allocation on Networks with Execution Uncertainty (Extended Abstract)β
IJCAI 2023
Examining Bias in Opinion Summarisation through the Perspective of Opinion Diversity
ACL 2023
Task and Sentiment Adaptation for Appraisal Tagging
EACL 2023
DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks
NAACL 2022
Measuring Similarity of Opinion-bearing Sentences
EMNLP 2021
Sybil-proof Answer Querying Mechanism
IJCAI 2020
Neural Sparse Topical Coding
ACL 2018