Make publications more compact

This way, it's easier to tell which text is related to which publication.

Author: sh-dima

_pages/publications.md

@@ -7,76 +7,62 @@ author_profile: true
 
 ## Preprints
 
-[**Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation**](https://arxiv.org/abs/2502.05151)
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+[**Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation**](https://arxiv.org/abs/2502.05151)\
 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.\
 In ArXiv, 2025
 
-[**FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models**](https://arxiv.org/abs/2502.18573)
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+[**FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models**](https://arxiv.org/abs/2502.18573)\
 Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Tigran Tchrakian, Javier Carnerero Cano, Yufang Hou, Elizabeth Daly, Alessandra Pascale.\
 In ArXiv, 2025
 
-[**The Nature of NLP: Analyzing Contributions in NLP Papers**](https://arxiv.org/abs/2409.19505)
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+[**The Nature of NLP: Analyzing Contributions in NLP Papers**](https://arxiv.org/abs/2409.19505)\
 Aniket Pramanick, Yufang Hou, Saif M. Mohammad, Iryna Gurevych.\
 In ArXiv, 2024
 
 ## 2025
 
-[**Grounding Fallacies Misrepresenting Scientific Publications in Evidence**](https://www.arxiv.org/abs/2408.12812)
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+[**Grounding Fallacies Misrepresenting Scientific Publications in Evidence**](https://www.arxiv.org/abs/2408.12812)\
 Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych.\
 In NAACL, 2025
 
 ## 2024
 
-[**WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia**](https://openreview.net/pdf/8039d279e177deb3cae86e8385213135651a047c.pdf)
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+[**WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia**](https://openreview.net/pdf/8039d279e177deb3cae86e8385213135651a047c.pdf)\
 Yufang Hou, Alessandra Pascale, Javier Carnerero-Cano, Tigran Tchrakian, Radu Marinescu, Elizabeth Daly, Inkit Padhi, Prasanna Sattigeri.\
 In NeurIPS D&B Track, 2024
 
-[**Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards**](https://aclanthology.org/2024.emnlp-main.453.pdf)
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+[**Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards**](https://aclanthology.org/2024.emnlp-main.453.pdf)\
 Furkan Sahinuç, Thy Thy Tran, Yulia Grishina, Yufang Hou, Bei Chen, Iryna Gurevych.\
 In EMNLP, 2024
 
-[**SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement**](https://aclanthology.org/2024.findings-emnlp.780.pdf)
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+[**SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement**](https://aclanthology.org/2024.findings-emnlp.780.pdf)\
 Ishani Mondal, Zongxia Li, Yufang Hou, Anandhavelu Natarajan, Aparna Garimella, Jordan Lee Boyd-Graber.\
 In EMNLP Findings, 2024
 
-[**MISSCI: Reconstructing Fallacies in Misrepresented Science**](https://aclanthology.org/2024.acl-long.240.pdf)
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+[**MISSCI: Reconstructing Fallacies in Misrepresented Science**](https://aclanthology.org/2024.acl-long.240.pdf)\
 Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych.\
 In ACL, 2024  
 
-[**How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study**](https://aclanthology.org/2024.acl-long.795.pdf)
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+[**How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study**](https://aclanthology.org/2024.acl-long.795.pdf)\
 Andreas Waldis, Yufang Hou, Iryna Gurevych.\
 In ACL, 2024
 
-[**A Course Shared Task on Evaluating LLM Output for Clinical Questions**](https://aclanthology.org/2024.teachingnlp-1.11.pdf)
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+[**A Course Shared Task on Evaluating LLM Output for Clinical Questions**](https://aclanthology.org/2024.teachingnlp-1.11.pdf)\
 Yufang Hou, Thy Thy Tran, Doan Nam Long Vu, Yiwen Cao, Kai Li, Lukas Rohde, Iryna Gurevych.\
 In Proceedings of the 6th Workshop on Teaching NLP at ACL 2024
 
-[**Beyond Abstracts: A New Dataset, Prompt Design Strategy and Method for Biomedical Synthesis Generation**](https://aclanthology.org/2024.acl-srw.42.pdf)
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+[**Beyond Abstracts: A New Dataset, Prompt Design Strategy and Method for Biomedical Synthesis Generation**](https://aclanthology.org/2024.acl-srw.42.pdf)\
 James O'Doherty, Cian Nolan, Yufang Hou, Anya Belz.\
 In ACL Student Research Workshop, 2024
 
-[**On the Role of Summary Content Units in Text Summarization Evaluation**](https://aclanthology.org/2024.naacl-short.25.pdf)
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+[**On the Role of Summary Content Units in Text Summarization Evaluation**](https://aclanthology.org/2024.naacl-short.25.pdf)\
 Marcel Nawrath, Agnieszka Wiktoria Nowak, Tristan Ratz, Danilo Constantin Walenta, Juri Opitz, Leonardo F. R. Ribeiro, João Sedoc, Daniel Deutsch, Simon Mille, Yixin Liu, Sebastian Gehrmann, Lining Zhang, Saad Mahamood, Miruna Clinciu, Khyathi Chandu, Yufang Hou.\
 In NAACL, 2024
 
-[**Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization**](https://aclanthology.org/2024.findings-eacl.146.pdf)
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+[**Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization**](https://aclanthology.org/2024.findings-eacl.146.pdf)\
 Andreas Waldis, Yufang Hou, Iryna Gurevych.\
 In EACL Findings, 2024
 
-[**Holmes: Benchmark the Linguistic Competence of Language Models**](https://aclanthology.org/2024.tacl-1.88.pdf)
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+[**Holmes: Benchmark the Linguistic Competence of Language Models**](https://aclanthology.org/2024.tacl-1.88.pdf)\
 Andreas Waldis, Yotam Perlitz, Leshem Choshen, Yufang Hou, Iryna Gurevych.\
 In TACL, 2024