---
title: "Ge Yu · Northeastern University — author profile and papers"
description: "Ge Yu, Northeastern University: 6 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/ge-yu/"
---
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# Ge Yu

Ge Yu has 6 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/); often with [Zhenghao Liu](https://md.research.elamur.ai/free/en/authors/zhenghao-liu/), [Yu Gu](https://md.research.elamur.ai/free/en/authors/yu-gu/), [Yukun Yan](https://md.research.elamur.ai/free/en/authors/yukun-yan/).

6 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139767265) · [**h-index 1**](https://openalex.org/authors/A5139767265) · [9 works](https://openalex.org/works?filter=author.id:A5139767265) · [1 citations](https://openalex.org/works?filter=author.id:A5139767265&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/ge-yu/#papers) · [🔗 Cited 5 times in our library](https://md.research.elamur.ai/free/en/authors/ge-yu/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #10094](https://md.research.elamur.ai/free/en/paper-stars/page/101/#star-10094)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Ge+Yu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ge+Yu) · [dblp](https://dblp.org/search?q=Ge+Yu) · [ACL Anthology](https://aclanthology.org/search/?q=Ge+Yu)

## Affiliations

[🎓**Northeastern University** Shenyang · China 2025–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/northeastern-university-cn/) · [🎓**Northeastern University** Boston · United States 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/northeastern-university/)

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.

📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 5 Research subjects and languages the work is about.[Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

[**2026** 6 papers](https://md.research.elamur.ai/free/en/authors/ge-yu/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Long-Chain Reasoning Distillation via Adaptive Prefix Alignment](https://md.research.elamur.ai/free/en/papers/liu-2026-long-chain-reasoning-distillation-adaptive/)** *(2026 · 3 citations)* Small student models often learn poorly from the long, reflective chain-of-thought traces that reasoning models such as DeepSeek-R1 produce.
2. **[ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition Modeling](https://md.research.elamur.ai/free/en/papers/xu-2026-thinknote-enhancing-knowledge-integration-utilization/)** *(2026 · 2 citations)* LLMs often struggle to use retrieved external knowledge reliably. Noisy, incomplete or unfamiliar evidence can produce inconsistent answers and hallucinations. ThinkNote addresses this by treating the model as an active builder of knowledge rather than a passive reader of context, drawing on constructivist learning…
3. **[Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-Reflection](https://md.research.elamur.ai/free/en/papers/wu-2026-enhancing-long-chain-reasoning-distillation/)** *(2026 · 1 citation)* Distilling long Chain-of-Thought (CoT) traces from strong reasoning models into small models often works poorly.
4. **[HqeKV: Towards Hybrid Quantization and Eviction for KV Cache in Long-Context LLM Inference](https://md.research.elamur.ai/free/en/papers/wang-2026-hqekv-hybrid-quantization-eviction-kv/)** *(2026 · 1 citation)* Storing key-value (KV) pairs during autoregressive decoding avoids recomputation, but the cache grows with sequence length and can outweigh the model's own memory in long-context serving.
5. **[Resource-Limited Joint Multimodal Sentiment Reasoning and Classification via Chain-of-Thought Enhancement and Distillation](https://md.research.elamur.ai/free/en/papers/shangguan-2026-resource-limited-joint-multimodal-sentiment/)** *(2026 · 1 citation)* The paper tackles multimodal sentiment analysis of text-image posts when only a small model can be deployed.
6. **[Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling](https://md.research.elamur.ai/free/en/papers/liu-2026-mitigating-judgment-preference-bias-large/)** *(2026)* LLM-based evaluators ("LLM-as-a-Judge") tend to rate their own outputs, or outputs resembling their style, more favorably.

## All works

8 works of theirs in our library, the most cited first; 6 with a page here, the others link their original until we summarise them.

1. **[Long-Chain Reasoning Distillation via Adaptive Prefix Alignment](https://md.research.elamur.ai/free/en/papers/liu-2026-long-chain-reasoning-distillation-adaptive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhenghao Liu, Zhuoyang Wu, Xinze Li, et al.*2026 · 3 citations*
2. **[ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition Modeling](https://md.research.elamur.ai/free/en/papers/xu-2026-thinknote-enhancing-knowledge-integration-utilization/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhipeng Xu, Zhenghao Liu, Yukun Yan, et al.*2026 · 2 citations*
3. **[Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-Reflection](https://md.research.elamur.ai/free/en/papers/wu-2026-enhancing-long-chain-reasoning-distillation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhuoyang Wu, Xinze Li, Zhenghao Liu, et al.*2026 · 1 citation*
4. **[HqeKV: Towards Hybrid Quantization and Eviction for KV Cache in Long-Context LLM Inference](https://md.research.elamur.ai/free/en/papers/wang-2026-hqekv-hybrid-quantization-eviction-kv/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**He Wang, Yu Gu, Fangfang Li, et al.*2026 · 1 citation*
5. **[Resource-Limited Joint Multimodal Sentiment Reasoning and Classification via Chain-of-Thought Enhancement and Distillation](https://md.research.elamur.ai/free/en/papers/shangguan-2026-resource-limited-joint-multimodal-sentiment/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haonan Shangguan, Xiaocui Yang, Shi Feng, et al.*2026 · 1 citation*
6. **[Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling](https://md.research.elamur.ai/free/en/papers/liu-2026-mitigating-judgment-preference-bias-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shuliang Liu, Zhipeng Xu, Zhenghao Liu, et al.*2026*
7. **[MetaMem: Evolving Meta-Memory for Knowledge Utilization through Self-Reflective Symbolic Optimization ↗](https://aclanthology.org/2026.findings-acl.270/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Haidong Xin et al.*2026*
8. **[Lang2Act: Fine-Grained Visual Reasoning through Self-Emergent Linguistic Toolchains ↗](https://aclanthology.org/2026.findings-acl.409/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Yuqi Xiong et al.*2026*

## Co-authors here

12 of 25 co-authors with a page, the most papers together first.

- [Zhenghao Liu](https://md.research.elamur.ai/free/en/authors/zhenghao-liu/) ×5
- [Yu Gu](https://md.research.elamur.ai/free/en/authors/yu-gu/) ×4
- [Yukun Yan](https://md.research.elamur.ai/free/en/authors/yukun-yan/) ×4
- [Maosong Sun](https://md.research.elamur.ai/free/en/authors/maosong-sun/) ×2
- [Minghe Yu](https://md.research.elamur.ai/free/en/authors/minghe-yu/) ×2
- [Shuo Wang](https://md.research.elamur.ai/free/en/authors/shuo-wang/) ×2
- [Xinze Li](https://md.research.elamur.ai/free/en/authors/xinze-li/) ×2
- [Zhipeng Xu](https://md.research.elamur.ai/free/en/authors/zhipeng-xu/) ×2
- [Zhiyuan Liu](https://md.research.elamur.ai/free/en/authors/zhiyuan-liu/) ×2
- [Zhuoyang Wu](https://md.research.elamur.ai/free/en/authors/zhuoyang-wu/) ×2
- [Chaojun Xiao](https://md.research.elamur.ai/free/en/authors/chaojun-xiao/)
- [Cheng Hong Yang](https://md.research.elamur.ai/free/en/authors/cheng-hong-yang/)

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×5: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×5
- Findings of the Association for Computational Linguistics: ACL 2026 ×2
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)

## Cited by

Papers of our library cite their works 5 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/ge-yu/cited-by/).

Updated 1 November 2026