Elamur Research⌕
☰
home / authors / Ken Deng

Ken Deng

Ken Deng has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Code & programming languages; often with Yanan Wu, Congnan Liu, Ge Zhang.

3 papers in our library · 2024–2026

OpenAlex · h-index 1 · 13 works · 12 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 22 times in our library · ⭐ Paper Stars ranking: #8378

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

🏢KuaishouBeijing · China2026 · 1 papercurrent🏢Alibaba GroupHangzhou · China2024 · 2 papers

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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksInformation Systems · 2 works

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workCode & programming languages · 1 workMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20261 paper20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. DDK: Distilling Domain Knowledge for Efficient Large Language Models (2024 · 23 citations)
    Smaller LLMs are cheaper to deploy, and knowledge distillation from a stronger model can improve them. However, existing LLM distillation methods train on a fixed data mix. They overlook that the gap between student and teacher differs widely by domain. For example, a Qwen-1.5 1.8B student trails its 14B teacher far…
  2. M2RC-EVAL: Massively Multilingual Repository-level Code Completion Evaluation (2025 · 8 citations)
    Benchmarks for repository-level code completion usually cover fewer than five programming languages and report only one averaged score.
  3. ShopSimulator: Evaluating and Exploring RL-Driven LLM Agent for Shopping Assistants (2026 · 1 citation)
    LLM-based shopping assistants must clarify vague requests through dialogue, use a shopper's profile and history, and pick the right item among near-identical products.

 Co-authors here

12 of 21 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 22 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/ken-deng/