Ana Marasović
27 papers · 2017–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🏃 Academic Marathon (8) 🗺️ Taxonomy Completionist (44)
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Taxonomy Completionist
(44)
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Keyword Pioneer
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🧬
Topic Evolution
💎
Century Club
(27)
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Trend Setter
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Prolific Year
(8)
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Unstoppable
(9)
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Keyword Collector
(100)
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The Questioner
(4)
Conferences
EMNLP (13)
ACL (6)
IJCNLP (4)
NAACL (4)
Top co-authors
Research topics
Keywords
reading comprehension
(4)
question answering
(3)
large language model
(3)
visual reasoning
(3)
visual question answering
(2)
multimodal learning
(2)
image captioning
(2)
coreference resolution
(2)
span selection
(2)
transfer learning
(1)
dataset creation
(1)
model robustness
(1)
natural language inference
(1)
natural language generation
(1)
domain generalization
(1)
benchmark evaluation
(1)
language modeling
(1)
text classification
(1)
few-shot learning
(1)
data annotation
(1)
Papers
Measuring Chain of Thought Faithfulness by Unlearning Reasoning Steps
EMNLP 2025
What Has Been Lost with Synthetic Evaluation?
EMNLP 2025
BriefMe: A Legal NLP Benchmark for Assisting with Legal Briefs
ACL 2025
On Evaluating Explanation Utility for Human-AI Decision Making in NLP
EMNLP 2024
Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness
NAACL 2024
Explanation in the Era of Large Language Models
NAACL 2024
Do Androids Laugh at Electric Sheep? Humor “Understanding” Benchmarks from The New Yorker Caption Contest
ACL 2023
How Much Consistency Is Your Accuracy Worth?
EMNLP 2023
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation
EMNLP 2022
Does Self-Rationalization Improve Robustness to Spurious Correlations?
EMNLP 2022
On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization
EMNLP 2022
Few-Shot Self-Rationalization with Natural Language Prompts
NAACL 2022
Promoting Graph Awareness in Linearized Graph-to-Text Generation
ACL 2021
Explaining NLP Models via Minimal Contrastive Editing (MiCE)
ACL 2021
Effective Attention Sheds Light On Interpretability
ACL 2021
Promoting Graph Awareness in Linearized Graph-to-Text Generation
IJCNLP 2021
Explaining NLP Models via Minimal Contrastive Editing (MiCE)
IJCNLP 2021
Effective Attention Sheds Light On Interpretability
IJCNLP 2021
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus
EMNLP 2021
Measuring Association Between Labels and Free-Text Rationales
EMNLP 2021
Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks
ACL 2020
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs
EMNLP 2020
Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ
EMNLP 2020
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning
EMNLP 2019
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning
IJCNLP 2019
SRL4ORL: Improving Opinion Role Labeling Using Multi-Task Learning with Semantic Role Labeling
NAACL 2018
A Mention-Ranking Model for Abstract Anaphora Resolution
EMNLP 2017