Terry Ruas
29 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (58) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 👥 Mega-Team · Squad
🧬
Topic Evolution
👥
Mega-Team · Squad
🤝
Dynamic Duo
(27)
🗃️
Keyword Collector
(140)
🔥
Unstoppable · Bronze
❓
The Questioner
(3)
⚡
Prolific Year · Prolific
🌈
Renaissance Researcher
(6)
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(20)
Natural Language Processing
(19)
Artificial Intelligence
(17)
Core AI
(15)
Learning Types · Machine Learning
(13)
Applications
(11)
Deep Learning
(8)
Generation
(8)
Resources & Methods
(7)
Core Methods
(5)
Models
(4)
Optimization & Theory
(4)
Application Areas
(3)
Learning Types · Deep Learning
(3)
Interdisciplinary
(2)
Keywords
large language model
(8)
meeting summarization
(6)
text classification
(5)
media bias detection
(3)
abstractive summarization
(3)
transformer model
(3)
multi-agent system
(3)
multi-agent debate
(3)
information extraction
(2)
multi-task learning
(2)
paraphrase generation
(2)
text generation
(2)
text summarization
(2)
language model
(2)
human evaluation
(2)
multilingual nlp
(1)
sentiment analysis
(1)
natural language inference
(1)
weakly supervised learning
(1)
domain adaptation
(1)
Papers
ALDEN: Reinforcement Learning for Active Navigation and Evidence Gathering in Long Documents
ACL 2026
DimABSA: Building Multilingual and Multidomain Datasets for Dimensional Aspect-Based Sentiment Analysis
ACL 2026
Multi-Agent Reasoning Improves Compute Efficiency: Pareto-Optimal Test-Time Scaling
ACL 2026
SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis (DimABSA)
SemEval 2026
Stay Focused: Problem Drift in Multi-Agent Debate
EACL 2026
BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages
ACL 2025
CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization (Abstract Reprint)
IJCAI 2025
Is my Meeting Summary Good? Estimating Quality with a Multi-LLM Evaluator
COLING 2025
MALLM: Multi-Agent Large Language Models Framework
EMNLP 2025
Re-FRAME the Meeting Summarization SCOPE: Fact-Based Summarization and Personalization via Questions
EMNLP 2025
SPaRC: A Spatial Pathfinding Reasoning Challenge
EMNLP 2025
The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection
NAACL 2025
Towards Human Understanding of Paraphrase Types in Large Language Models
COLING 2025
TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent
EMNLP 2025
Voting or Consensus? Decision-Making in Multi-Agent Debate
ACL 2025
What’s Wrong? Refining Meeting Summaries with LLM Feedback
COLING 2025
You need to MIMIC to get FAME: Solving Meeting Transcript Scarcity with Multi-Agent Conversations
ACL 2025
CiteAssist: A System for Automated Preprint Citation and BibTeX Generation
ACL 2024
MAGPIE: Multi-Task Analysis of Media-Bias Generalization with Pre-Trained Identification of Expressions
COLING 2024
Paraphrase Types Elicit Prompt Engineering Capabilities
EMNLP 2024
Tell me what I need to know: Exploring LLM-based (Personalized) Abstractive Multi-Source Meeting Summarization
EMNLP 2024
What’s under the hood: Investigating Automatic Metrics on Meeting Summarization
EMNLP 2024
Paraphrase Types for Generation and Detection
EMNLP 2023
The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research
ACL 2023
We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic Fields
EMNLP 2023
Analyzing Multi-Task Learning for Abstractive Text Summarization
EMNLP 2022
How Large Language Models are Transforming Machine-Paraphrase Plagiarism
EMNLP 2022
Neural Media Bias Detection Using Distant Supervision With BABE - Bias Annotations By Experts
EMNLP 2021
Aspect-based Document Similarity for Research Papers
COLING 2020