Xingmeng Zhao
10 papers · 2022–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (17) π§ Keyword Pioneer π Conference Polyglot (8)
π
Renaissance Researcher
(7)
π€
Dynamic Duo
(10)
β
The Questioner
(2)
π
Century Club
(10)
Conferences
NAACL (3)
AACL (1)
ACL (1)
COLING (1)
CONLL (1)
EMNLP (1)
IJCNLP (1)
SEMEVAL (1)
Top co-authors
Keywords
instruction tuning
(3)
text classification
(2)
radiology report summarization
(2)
radiology report
(2)
text summarization
(2)
few-shot learning
(2)
multimodal learning
(1)
data visualization
(1)
multi-modal learning
(1)
evaluation framework
(1)
convolutional neural network
(1)
long short-term memory
(1)
recurrent neural network
(1)
retrieval-augmented generation
(1)
prompting strategy
(1)
chest x-ray
(1)
bidirectional lstm
(1)
gender bia
(1)
model fairness
(1)
temporal relation extraction
(1)
Papers
Simplified Rewriting Improves Expert Summarization
AACL 2025
Charting the Future: Using Chart Question-Answering for Scalable Evaluation of LLM-Driven Data Visualizations
COLING 2025
Simplified Rewriting Improves Expert Summarization
IJCNLP 2025
UTSA-NLP at ChemoTimelines 2024: Evaluating Instruction-Tuned Language Models for Temporal Relation Extraction
NAACL 2024
A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models
NAACL 2024
UTSA-NLP at RadSum23: Multi-modal Retrieval-Based Chest X-Ray Report Summarization
ACL 2023
BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories?
EMNLP 2023
BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories?
CONLL 2023
UTSA NLP at SemEval-2022 Task 4: An Exploration of Simple Ensembles of Transformers, Convolutional, and Recurrent Neural Networks
NAACL 2022
UTSA NLP at SemEval-2022 Task 4: An Exploration of Simple Ensembles of Transformers, Convolutional, and Recurrent Neural Networks
SEMEVAL 2022