🧑‍🔬 Ruiming Tang

🏛️ Affiliations

🏢Huawei TechnologiesShenzhen · China2015–2026 · 236 paperscurrent🏢KuaishouBeijing · China2025–2026 · 51 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2020–2026 · 3 paperscurrent🔬Institute of Information EngineeringBeijing · China2026 · 2 paperscurrent🎓National University of SingaporeSingapore · Singapore2011–2017 · 15 papers🏢Huawei TechnologiesStockholm · Sweden2020–2025 · 4 papers🎓Shanghai Jiao Tong UniversityShanghai · China2017–2024 · 4 papers🎓Harbin Institute of TechnologyHarbin · China2018–2020 · 3 papers🎓Hong Kong University of Science and TechnologyHong Kong · China2024–2025 · 2 papers🎓The Hong Kong University of Science and Technology (Guangzhou)Guangzhou · China2024–2025 · 2 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Learning to Edit: Aligning LLMs with Knowledge Editing (2024 · 39 citations)
   Knowledge editing tries to change a small set of facts inside an LLM without harming its behaviour on unrelated inputs.
2. CoIR: A Comprehensive Benchmark for Code Information Retrieval Models (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…
3. Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger (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…
4. RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation (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…
5. Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge (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.
6. Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning (2026 · 1 citation)
   LLM post-training with reinforcement learning is usually off-policy, so updates use samples from older policies.

All works

13 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. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction ↗International Joint Conference on Artificial Intelligence · no summary yetHuifeng Guo et al.2017 · 2,612 citations
2. Neighbor Interaction Aware Graph Convolution Networks for Recommendation ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetJianing Sun et al.2020 · 171 citations
3. Understanding the planning of LLM agents: A survey ↗arXiv:2402.02716 · no summary yetXu Huang et al.2024 · 128 citations
4. Learning to Edit: Aligning LLMs with Knowledge EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxin Jiang, Yufei Wang, Chuhan Wu, et al.2024 · 39 citations
5. CoIR: A Comprehensive Benchmark for Code Information Retrieval ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangyang Li, Kuicai Dong, Yi Quan Lee, et al.2025 · 29 citations
6. Entropy Law: The Story Behind Data Compression and LLM Performance ↗arXiv:2407.06645 · no summary yetMingjia Yin et al.2024 · 22 citations
7. Adaptive Tool Use in Large Language Models with Meta-Cognition TriggerAnnual Meeting of the Association for Computational Linguistics (ACL)Wenjun Li, Dexun Li, Kuicai Dong, et al.2025 · 16 citations
8. RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Qingyao Li, Wei Xia, Xinyi Dai, et al.2025 · 16 citations
9. CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation ↗Findings of the Association for Computational Linguistics: ACL 2025 · no summary yetQingyao Li et al.2025 · 15 citations
10. Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-JudgeAnnual Meeting of the Association for Computational Linguistics (ACL)Qiyuan Zhang, Yufei Wang, Yuxin Jiang, et al.2025 · 13 citations
11. Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement LearningFindings of the Association for Computational LinguisticsZhenpeng Su, Leiyu Pan, Minxuan Lv, et al.2026 · 1 citation
12. DeepSynth-Eval: Objectively Evaluating Information Consolidation in Deep Survey Writing ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetHongzhi Zhang et al.2026
13. Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetZhiyang Zhang et al.2026

🤝 Co-authors here

12 of 36 co-authors with a page, the most papers together first.

• Yasheng Wang ×4
• Chuhan Wu ×2
• Hao Zhang ×2
• Kuicai Dong ×2
• Liangyou Li ×2
• Lifeng Shang ×2
• Wei Xia ×2
• Weiwen Liu ×2
• Xin Jiang ×2
• Xinyi Dai ×2
• Yufei Wang ×2
• Yuxin 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) ×5: ACL 2025 ×3, ACL 2024
• Findings of the Association for Computational Linguistics: ACL 2025 ×3
• Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• 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); 61 citing papers with a page here →.

Updated 31 October 2026

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