Publications

Preprints

Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation

Steffen Eger, Yong Cao, Jennifer D'Souza, Andreas Geiger, Christian Greisinger, Stephanie Gross, Yufang Hou, Brigitte Krenn, Anne Lauscher, Yizhi Li, Chenghua Lin, Nafise Sadat Moosavi, Wei Zhao, Tristan Miller

ArXiv

2025

FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models

Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Tigran Tchrakian, Javier Carnerero Cano, Yufang Hou, Elizabeth Daly, Alessandra Pascale

ArXiv

2025

The Nature of NLP: Analyzing Contributions in NLP Papers

Aniket Pramanick, Yufang Hou, Saif M. Mohammad, Iryna Gurevych

ArXiv

2024

2025

Grounding Fallacies Misrepresenting Scientific Publications in Evidence

Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych

NAACL

2025

2024

WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia

Yufang Hou, Alessandra Pascale, Javier Carnerero-Cano, Tigran Tchrakian, Radu Marinescu, Elizabeth Daly, Inkit Padhi, Prasanna Sattigeri

NeurIPS D&B Track

2024

Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards

Furkan Sahinuç, Thy Thy Tran, Yulia Grishina, Yufang Hou, Bei Chen, Iryna Gurevych

EMNLP

2024

SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement

Ishani Mondal, Zongxia Li, Yufang Hou, Anandhavelu Natarajan, Aparna Garimella, Jordan Lee Boyd-Graber

EMNLP Findings

2024

MISSCI: Reconstructing Fallacies in Misrepresented Science

Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych

ACL

2024

How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study

Andreas Waldis, Yufang Hou, Iryna Gurevych

ACL

2024

A Course Shared Task on Evaluating LLM Output for Clinical Questions

Yufang Hou, Thy Thy Tran, Doan Nam Long Vu, Yiwen Cao, Kai Li, Lukas Rohde, Iryna Gurevych

Proceedings of the 6th Workshop on Teaching NLP at ACL 2024

2024

Beyond Abstracts: A New Dataset, Prompt Design Strategy and Method for Biomedical Synthesis Generation

James O'Doherty, Cian Nolan, Yufang Hou, Anya Belz

ACL Student Research Workshop

2024

Preprints

Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation

FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models

The Nature of NLP: Analyzing Contributions in NLP Papers

2025

Grounding Fallacies Misrepresenting Scientific Publications in Evidence

2024

WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia

Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards

SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement

MISSCI: Reconstructing Fallacies in Misrepresented Science

How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study

A Course Shared Task on Evaluating LLM Output for Clinical Questions

Beyond Abstracts: A New Dataset, Prompt Design Strategy and Method for Biomedical Synthesis Generation

On the Role of Summary Content Units in Text Summarization Evaluation

Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization

Holmes: Benchmark the Linguistic Competence of Language Models