---
title: "Ruiming Tang — author profile and papers — Elamur Research"
description: "Ruiming Tang, Chinese Academy of Sciences: 9 papers on Elamur Research (2024–2026), h-index 37 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/ruiming-tang/"
---
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# Ruiming Tang

Ruiming Tang has 9 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Yasheng Wang](https://md.research.elamur.ai/free/en/authors/yasheng-wang/), [Guorui Zhou](https://md.research.elamur.ai/free/en/authors/guorui-zhou/), [Kun Gai](https://md.research.elamur.ai/free/en/authors/kun-gai/).

9 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5054330014) · [ORCID](https://orcid.org/0000-0002-9224-2431) · [Wikidata](https://www.wikidata.org/wiki/Q130799188) · [**h-index 37**](https://openalex.org/authors/A5054330014) · [367 works](https://openalex.org/works?filter=author.id:A5054330014) · [7,659 citations](https://openalex.org/works?filter=author.id:A5054330014&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 9 works in our library](https://md.research.elamur.ai/free/en/authors/ruiming-tang/#papers) · [🔗 Cited 296 times in our library](https://md.research.elamur.ai/free/en/authors/ruiming-tang/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6028](https://md.research.elamur.ai/free/en/paper-stars/page/61/#star-6028)

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=Ruiming+Tang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ruiming+Tang) · [dblp](https://dblp.org/search?q=Ruiming+Tang) · [ACL Anthology](https://aclanthology.org/search/?q=Ruiming+Tang)

## Affiliations

[🏢**Huawei Technologies** Shenzhen · China 2015–2026 · 236 papers*current*](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) · [🏢**Kuaishou** Beijing · China 2025–2026 · 51 papers*current*](https://md.research.elamur.ai/free/en/companies/kuaishou/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2020–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Information Engineering** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-information-engineering/) · [🎓**National University of Singapore** Singapore · Singapore 2011–2017 · 15 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) · [🏢**Huawei Technologies** Stockholm · Sweden 2020–2025 · 4 papers](https://ror.org/0500fyd17) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2017–2024 · 4 papers](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**Harbin Institute of Technology** Harbin · China 2018–2020 · 3 papers](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**Hong Kong University of Science and Technology** Hong Kong · China 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🎓**The Hong Kong University of Science and Technology (Guangzhou)** Guangzhou · China 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/the-hong-kong-university-of-science-and-technology-guangzhou/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 9 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 9 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 9 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 9 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 9 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Political Science and International Relations · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/)

🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/ruiming-tang/year/2026/) · [**2025** 4 papers](https://md.research.elamur.ai/free/en/authors/ruiming-tang/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/ruiming-tang/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Understanding the planning of LLM agents: A survey](https://md.research.elamur.ai/free/en/papers/huang-2024-understanding-planning-llm-agents-survey/)** *(2024 · 128 citations)* This survey, by authors from USTC and Huawei Noah's Ark Lab, examines how large language models serve as the planning component of autonomous agents.
2. **[Learning to Edit: Aligning LLMs with Knowledge Editing](https://md.research.elamur.ai/free/en/papers/jiang-2024-learning-edit-aligning-llms-knowledge/)** *(2024 · 39 citations)* Knowledge editing tries to change a small set of facts inside an LLM without harming its behaviour on unrelated inputs.
3. **[CoIR: A Comprehensive Benchmark for Code Information Retrieval Models](https://md.research.elamur.ai/free/en/papers/li-2025-coir-comprehensive-benchmark-code-information/)** *(2025 · 29 citations)* Most IR systems and benchmarks target natural-language search. Existing code retrieval benchmarks such as CodeSearchNet, CosQA and XcodeEval cover only a few task types and narrow domains, and they use inconsistent metrics. Many models also appear to be tuned to these leaderboards. The authors present CoIR, a…
4. **[Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger](https://md.research.elamur.ai/free/en/papers/li-2025-adaptive-tool-use-large-language/)** *(2025 · 16 citations)* LLMs equipped with tools often call them even when they could answer from internal knowledge. This adds latency and exposes the model to failures from external APIs. The authors, from Huawei Noah's Ark Lab, propose MeCo (Meta-Cognition-oriented trigger), which decides whether a tool or retrieval call is actually…
5. **[RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation](https://md.research.elamur.ai/free/en/papers/li-2025-rethinkmcts-refining-erroneous-thoughts-monte/)** *(2025 · 16 citations)* The paper tackles a weakness of tree-search approaches to LLM code generation. Existing methods such as LATS search directly over code and handle mistakes through reflection, which piles up summaries of past errors in memory but never repairs the flawed reasoning itself. The authors propose RethinkMCTS, which runs…
6. **[Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge](https://md.research.elamur.ai/free/en/papers/zhang-2025-crowd-comparative-reasoning-unlocking-comprehensive/)** *(2025 · 13 citations)* LLM-as-a-Judge systems often produce chain-of-thought (CoT) judgments that focus on only a few aspects of the responses, so their verdicts can be shallow or wrong.
7. **[Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/su-2026-entropy-ratio-clipping-as-soft/)** *(2026 · 1 citation)* LLM post-training with reinforcement learning is usually off-policy, so updates use samples from older policies.
8. **[DeepSynth-Eval: Objectively Evaluating Information Consolidation in Deep Survey Writing](https://md.research.elamur.ai/free/en/papers/zhang-2026-deepsynth-eval-objectively-evaluating-information/)** *(2026)* Deep Research agents are usually benchmarked on how well they find information. The stage after retrieval gets far less objective testing: merging evidence from many sources into a long, organized report. DeepSynth-Eval (DSE) targets that stage. The authors treat expert-written survey papers as reference answers. For…
9. **[Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers](https://md.research.elamur.ai/free/en/papers/zhang-2026-unleashing-native-recommendation-potential-llm/)** *(2026)* LLM-based generative recommenders must name items in a form the model can produce and that maps back to real catalog entries.

## All works

13 works of theirs in our library, the most cited first; 9 with a page here, the others link their original until we summarise them.

1. **[DeepFM: A Factorization-Machine based Neural Network for CTR Prediction ↗](https://doi.org/10.24963/ijcai.2017/239) International Joint Conference on Artificial Intelligence · no summary yet**Huifeng Guo et al.*2017 · 2,612 citations*
2. **[Neighbor Interaction Aware Graph Convolution Networks for Recommendation ↗](https://doi.org/10.1145/3397271.3401123) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Jianing Sun et al.*2020 · 171 citations*
3. [**Understanding the planning of LLM agents: A survey arXiv:2402.02716**Xu Huang, Weiwen Liu, Xiaolong Chen, et al.*2024 · 128 citations*](https://md.research.elamur.ai/free/en/papers/huang-2024-understanding-planning-llm-agents-survey/)
4. **[Learning to Edit: Aligning LLMs with Knowledge Editing](https://md.research.elamur.ai/free/en/papers/jiang-2024-learning-edit-aligning-llms-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxin Jiang, Yufei Wang, Chuhan Wu, et al.*2024 · 39 citations*
5. **[CoIR: A Comprehensive Benchmark for Code Information Retrieval Models](https://md.research.elamur.ai/free/en/papers/li-2025-coir-comprehensive-benchmark-code-information/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiangyang Li, Kuicai Dong, Yi Quan Lee, et al.*2025 · 29 citations*
6. **[Entropy Law: The Story Behind Data Compression and LLM Performance ↗](https://arxiv.org/abs/2407.06645) arXiv:2407.06645 · no summary yet**Mingjia Yin et al.*2024 · 22 citations*
7. **[Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger](https://md.research.elamur.ai/free/en/papers/li-2025-adaptive-tool-use-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenjun Li, Dexun Li, Kuicai Dong, et al.*2025 · 16 citations*
8. **[RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation](https://md.research.elamur.ai/free/en/papers/li-2025-rethinkmcts-refining-erroneous-thoughts-monte/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Qingyao Li, Wei Xia, Xinyi Dai, et al.*2025 · 16 citations*
9. **[CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation ↗](https://aclanthology.org/2025.findings-acl.428/) Findings of the Association for Computational Linguistics: ACL 2025 · no summary yet**Qingyao Li et al.*2025 · 15 citations*
10. **[Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge](https://md.research.elamur.ai/free/en/papers/zhang-2025-crowd-comparative-reasoning-unlocking-comprehensive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qiyuan Zhang, Yufei Wang, Yuxin Jiang, et al.*2025 · 13 citations*
11. **[Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/su-2026-entropy-ratio-clipping-as-soft/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenpeng Su, Leiyu Pan, Minxuan Lv, et al.*2026 · 1 citation*
12. **[DeepSynth-Eval: Objectively Evaluating Information Consolidation in Deep Survey Writing](https://md.research.elamur.ai/free/en/papers/zhang-2026-deepsynth-eval-objectively-evaluating-information/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongzhi Zhang, Yuanze Hu, Tinghai Zhang, et al.*2026*
13. **[Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers](https://md.research.elamur.ai/free/en/papers/zhang-2026-unleashing-native-recommendation-potential-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhiyang Zhang, Junda She, Kuo Cai, et al.*2026*

## Co-authors here

12 of 47 co-authors with a page, the most papers together first.

- [Yasheng Wang](https://md.research.elamur.ai/free/en/authors/yasheng-wang/) ×5
- [Guorui Zhou](https://md.research.elamur.ai/free/en/authors/guorui-zhou/) ×3
- [Kun Gai](https://md.research.elamur.ai/free/en/authors/kun-gai/) ×3
- [Weiwen Liu](https://md.research.elamur.ai/free/en/authors/weiwen-liu/) ×3
- [Chuhan Wu](https://md.research.elamur.ai/free/en/authors/chuhan-wu/) ×2
- [Han Li](https://md.research.elamur.ai/free/en/authors/han-li/) ×2
- [Hao Zhang](https://md.research.elamur.ai/free/en/authors/hao-zhang/) ×2
- [Kuicai Dong](https://md.research.elamur.ai/free/en/authors/kuicai-dong/) ×2
- [Liangyou Li](https://md.research.elamur.ai/free/en/authors/liangyou-li/) ×2
- [Lifeng Shang](https://md.research.elamur.ai/free/en/authors/lifeng-shang/) ×2
- [Wei Xia](https://md.research.elamur.ai/free/en/authors/wei-xia/) ×2
- [Xin Jiang](https://md.research.elamur.ai/free/en/authors/xin-jiang/) ×2

## 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)](https://md.research.elamur.ai/free/en/venues/acl/) ×5: [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×3, [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×3: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×3
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)
- Findings of the Association for Computational Linguistics: ACL 2025
- International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
- International Joint Conference on Artificial Intelligence

## Cited by

Papers of our library cite their works 296 times (of the 149,439 papers whose bibliographies we read); [76 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ruiming-tang/cited-by/).

Updated 2 November 2026