Parker Riley
15 papers · 2018–2026 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (23) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Deep Specialist
(12)
👥
Mega-Team · Squad
🤝
Dynamic Duo
(11)
🧬
Topic Evolution
💎
Century Club · Bronze
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Keyword Collector
(62)
⚡
Prolific Year · Productive
Top co-authors
Research topics
Natural Language Processing
(13)
Applications
(12)
Artificial Intelligence
(6)
Machine Learning
(6)
Resources & Methods
(5)
Deep Learning
(4)
Core AI
(4)
Learning Types · Machine Learning
(3)
Models
(3)
Mathematics & Optimization
(2)
Core Methods
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Generation
(1)
Mathematics
(1)
Keywords
machine translation
(8)
human evaluation
(6)
annotation quality
(3)
large language model
(3)
in-context learning
(2)
translation evaluation
(2)
benchmark evaluation
(2)
multidimensional quality metrics
(2)
computational complexity
(1)
document-level translation
(1)
boolean satisfiability
(1)
text style transfer
(1)
transfer learning
(1)
algorithm design
(1)
text generation
(1)
neural machine translation
(1)
embedding space
(1)
reasoning evaluation
(1)
edit distance
(1)
language model
(1)
Papers
Generating Difficult-to-Translate Texts
EACL 2026
MQM Re-Annotation: A Technique for Collaborative Evaluation of Machine Translation
ACL 2026
Enhancing Human Evaluation in Machine Translation with Comparative Judgement
ACL 2025
Findings of the WMT25 General Machine Translation Shared Task: Time to Stop Evaluating on Easy Test Sets
EMNLP 2025
Findings of the WMT25 Multilingual Instruction Shared Task: Persistent Hurdles in Reasoning, Generation, and Evaluation
EMNLP 2025
From Jack of All Trades to Master of One: Specializing LLM-based Autoraters to a Test Set
ICML 2025
WMT24++: Expanding the Language Coverage of WMT24 to 55 Languages & Dialects
ACL 2025
Beyond Human-Only: Evaluating Human-Machine Collaboration for Collecting High-Quality Translation Data
EMNLP 2024
Finding Replicable Human Evaluations via Stable Ranking Probability
NAACL 2024
The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation
EMNLP 2023
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages
EMNLP 2023
Outside Computation with Superior Functions
NAACL 2021
TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling
ACL 2021
Translationese as a Language in “Multilingual” NMT
ACL 2020
Orthographic Features for Bilingual Lexicon Induction
ACL 2018