🧑‍🔬 Yuhan Liu

🏛️ Affiliations

🎓Mohamed bin Zayed University of Artificial IntelligenceAbu Dhabi · United Arab Emirates2026 · 2 paperscurrent🎓Renmin University of ChinaBeijing · China2026 · 2 paperscurrent🎓Beijing Normal UniversityBeijing · China2026 · 1 papercurrent🎓Fudan UniversityShanghai · China2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models (2023 · 311 citations)
   Large language models absorb text from news, forums, books and encyclopedias, and much of that text carries political opinions.
2. Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration (2024 · 68 citations)
   Standard alignment tends to push LLMs toward one averaged human preference. This leaves the diverse values of different cultures, demographics and communities poorly represented. Existing fixes usually require retraining or weight access, so they cannot be used with proprietary black-box models. Patching a newly…
3. The Stepwise Deception: Simulating the Evolution from True News to Fake News with LLM Agents (2025 · 13 citations)
   Most misinformation research treats fake news as something already present in a network and studies how it spreads or how to detect it.
4. EmoMAS: Emotion-Aware Multi-Agent System for High-Stakes Edge-Deployable Negotiation with Bayesian Orchestration (2026 · 6 citations)
   Negotiation agents built on cloud LLMs are costly and expose sensitive data. Small language models (SLMs) could run locally on devices, but they handle emotionally charged, adversarial bargaining poorly. EmoMAS is a framework that treats emotional expression as a strategic choice rather than a reaction. A Bayesian…
5. Forest Before Trees: Latent Superposition for Efficient Visual Reasoning (2026 · 3 citations)
   Chain-of-Thought helps vision-language models reason step by step. However, spelling out rationales as discrete text loses much of the continuous visual signal. Existing latent-reasoning methods avoid text but still train each hidden state to predict one exact next token, which pushes the model to commit to specific…
6. GlossaGen: Making Academic Translation Smarter with Glossing (2026)
   Non-native readers of English scientific papers need help with comprehension, but they also need to learn the field's vocabulary.

🤝 Co-authors here

12 of 15 co-authors with a page, the most papers together first.

• Juntian Zhang ×3
• Chan Young Park ×2
• Shangbin Feng ×2
• Xiuying Chen ×2
• Yulia Tsvetkov ×2
• Duzhen Zhang
• Haolun Wu
• Jillian Fisher
• Nils Lukas
• Rui Yan
• Taylor Sorensen
• Yankai Lin

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Annual Meeting of the Association for Computational Linguistics (ACL) ×3: ACL 2026 ×2, ACL 2023
• Conference on Empirical Methods in Natural Language Processing (EMNLP) ×2: EMNLP 2025, EMNLP 2024
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026

🔗 Cited by

Papers of our library cite their works 235 times (of the 149,439 papers whose bibliographies we read); 59 citing papers with a page here →.

Updated 1 November 2026

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