Elamur Research⌕
☰
home / authors / Songming Zhang

Songming Zhang

Songming Zhang has 5 papers in our library, in 2024–2026, most of them on Multilingual & cross-lingual NLP, Language models & pretraining, Reasoning; often with Yufeng Chen, Xue Zhang, Fandong Meng.

5 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 2 · 14 works · 25 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 71 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7134

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. Dual-Space Knowledge Distillation for Large Language Models (2024 · 39 citations)
    Standard white-box knowledge distillation for LLMs trains a small student to match the teacher's token-level output distributions.
  2. Multilingual Knowledge Editing with Language-Agnostic Factual Neurons (2025 · 17 citations)
    The paper tackles multilingual knowledge editing (MKE), which means changing a fact in an LLM so the correction holds in several languages at once.
  3. Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts (2025 · 13 citations)
    Adding new languages to an existing LLM risks erasing skills in the languages it already handles well. The earlier MoE-based approach, MoE-LPR, also inflates model size: Qwen1.5-1.8B grows 3.2× to support three extra languages. This paper introduces LayerMoE, which questions whether every layer needs the same number…
  4. Think Natively: Unlocking Multilingual Reasoning with Consistency-Enhanced Reinforcement Learning (2026 · 11 citations)
    Reasoning-oriented LLMs that think before answering often handle non-English prompts poorly. They tend to drift into English or a mix of languages during reasoning, and their accuracy drops compared with English. The authors introduce M-Thinker, a family of models (1.5B, 4B, 7B) trained with GRPO using two new reward…
  5. Multilingual Chain-of-Thought Compression via Cross-Lingual Distillation (2026)
    Chain-of-thought (CoT) reasoning models often produce long, redundant traces. Existing compression techniques are tuned mostly on English. In other languages they either shorten outputs very little or cost accuracy, and low-resource languages suffer most. The authors propose MCD (Multilingual Chain-of-thought…

All works

6 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

  1. A Quality-based Syntactic Template Retriever for Syntactically-Controlled Paraphrase Generation ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetXue Zhang et al.2023

 Co-authors here

9 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 71 times (of the 149,439 papers whose bibliographies we read); 12 citing papers with a page here →.

Updated

↑ back to top

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