Anna Rogers
39 papers · 2017–2026 · 10 conferences · across top CS/AI conferences
Achievements
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🌈 Renaissance Researcher (7) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (8) 🌍 Conference Polyglot (9) 🗺️ Taxonomy Completionist (52)
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Taxonomy Completionist
(52)
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Keyword Pioneer
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Keyword Champion
(3)
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Dynamic Duo
(13)
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Topic Evolution
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Mega-Team
(54)
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(37)
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(9)
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(142)
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The Questioner
(6)
Conferences
ACL (10)
EMNLP (10)
COLING (5)
IJCNLP (5)
NAACL (3)
NIPS (2)
AAAI (1)
AACL (1)
EACL (1)
ICML (1)
Top co-authors
Keywords
large language model
(6)
peer review
(4)
word embedding
(4)
text classification
(3)
attention pattern
(3)
language model
(3)
logical puzzle
(2)
annotation artifact
(2)
commonsense reasoning
(2)
data curation
(2)
language model training
(2)
multilingual corpus
(2)
natural language processing
(2)
natural language inference
(2)
question answering
(2)
model interpretability
(2)
social bia
(2)
text mining
(1)
self-attention mechanism
(1)
embedding learning
(1)
Papers
AInterviewer: A Platform for Designing and Conducting AI-led Qualitative Interviews
ACL 2026
Code Like Humans: A Multi-Agent Solution for Medical Coding
EMNLP 2025
Examining the Faithfulness of Deepseek R1’s Chain-of-Thought Reasoning
AACL 2025
Examining the Faithfulness of Deepseek R1’s Chain-of-Thought Reasoning
IJCNLP 2025
Do Syntactic Categories Help in Developmentally Motivated Curriculum Learning for Language Models?
EMNLP 2025
DECAF: A Dynamically Extensible Corpus Analysis Framework
ACL 2025
Research Community Perspectives on “Intelligence” and Large Language Models
ACL 2025
Copycats: the many lives of a publicly available medical imaging dataset
NIPS 2024
AI ‘News’ Content Farms Are Easy to Make and Hard to Detect: A Case Study in Italian
ACL 2024
Position: Key Claims in LLM Research Have a Long Tail of Footnotes
ICML 2024
NarrativeTime: Dense Temporal Annotation on a Timeline
COLING 2024
Program Chairs’ Report on Peer Review at ACL 2023
ACL 2023
The ROOTS Search Tool: Data Transparency for LLMs
ACL 2023
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset
NIPS 2022
Machine Reading, Fast and Slow: When Do Models “Understand” Language?
COLING 2022
Outlier Dimensions that Disrupt Transformers are Driven by Frequency
EMNLP 2022
What Factors Should Paper-Reviewer Assignments Rely On? Community Perspectives on Issues and Ideals in Conference Peer-Review
NAACL 2022
Reviewing Natural Language Processing Research
EACL 2021
‘Just What do You Think You’re Doing, Dave?’ A Checklist for Responsible Data Use in NLP
EMNLP 2021
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics
EMNLP 2021
BERT Busters: Outlier Dimensions that Disrupt Transformers
ACL 2021
On the Interaction of Belief Bias and Explanations
ACL 2021
Changing the World by Changing the Data
IJCNLP 2021
On the Interaction of Belief Bias and Explanations
IJCNLP 2021
BERT Busters: Outlier Dimensions that Disrupt Transformers
IJCNLP 2021
Changing the World by Changing the Data
ACL 2021
What Can We Do to Improve Peer Review in NLP?
EMNLP 2020
A guide to the dataset explosion in QA, NLI, and commonsense reasoning
COLING 2020
Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks
AAAI 2020
When BERT Plays the Lottery, All Tickets Are Winning
EMNLP 2020
Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for NLP
NAACL 2019
Calls to Action on Social Media: Detection, Social Impact, and Censorship Potential
EMNLP 2019
Revealing the Dark Secrets of BERT
EMNLP 2019
Adversarial Decomposition of Text Representation
NAACL 2019
Revealing the Dark Secrets of BERT
IJCNLP 2019
Subcharacter Information in Japanese Embeddings: When Is It Worth It?
ACL 2018
What’s in Your Embedding, And How It Predicts Task Performance
COLING 2018
RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian
COLING 2018
Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings
EMNLP 2017