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Han Liu

Han Liu has 7 papers in our library, in 2020–2026, most of them on Language models & pretraining, Reasoning, Multilingual & cross-lingual NLP; often with Hong Yu, Hui Li, Jianshu Zhang.

7 papers in our library · 2020–2026

OpenAlex · h-index 1 · 7 works · 5 citations OpenAlex, 2026-10-14

📄 7 works in our library · 🔗 Cited 146 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4665

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

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. Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network (2020 · 265 citations)
    The paper addresses slot tagging for task-oriented dialogue when a new domain provides only one or five labeled support sentences per label.
  2. Morphology Matters: A Multilingual Language Modeling Analysis (2021 · 64 citations)
    Earlier multilingual language-modeling studies disagreed on whether rich inflectional morphology makes a language harder to model.
  3. A Survey of Large Language Models for Text-Guided Molecular Discovery: From Molecule Generation to Optimization (2026 · 7 citations)
    This survey reviews how large language models are used to design molecules from text instructions. It covers two tasks: generating new molecules from scratch and editing an existing molecule to improve its properties. The authors limit the scope to models with over 1B parameters that directly output molecular…
  4. ProgressLM: Towards Progress Reasoning in Vision-Language Models (2026 · 7 citations)
    The paper asks whether vision-language models can judge how far a task has advanced when they see only one intermediate frame plus a demonstration of the full task.
  5. DS2-Instruct: Domain-Specific Data Synthesis for Large Language Models Instruction Tuning (2026 · 2 citations)
    Instruction-tuning an LLM for a specialized field usually requires expensive expert annotation. The alternatives are domain corpora, which are often proprietary or missing, or human-written seed examples. DS2-Instruct removes these requirements. It is a zero-shot pipeline that builds domain instruction data from only…
  6. Uncertainty-Aware Contrastive Sentence Embedding With Local Context Representation for Text Classification (2026 · 1 citation)
    The paper tackles a frozen pre-trained language model whose sentence vectors are poorly tuned for text classification.
  7. Pru-CoT: Towards Efficient Reasoning Distillation via Pruning Chain-of-Thought (2026)
    Large reasoning models such as DeepSeek-R1 produce long Chain-of-Thought (CoT) traces that often include repeated checks and trivial restatements ("overthinking").

All works

8 works of theirs in our library, the most cited first; 7 with a page here, the others link their original until we summarise them.

  1. TIGER: Text-Informed Generalized Enzyme-Reaction Retrieval ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYuhang Zhang et al.2026

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 146 times (of the 149,439 papers whose bibliographies we read); 21 citing papers with a page here →.

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