🧑‍🔬 Lingfei Qian

🏛️ Affiliations

🎓Yale UniversityNew Haven · United States2024–2026 · 17 paperscurrent🎓Nanjing University of Aeronautics and AstronauticsNanjing · China2017–2023 · 10 papers🎓Dalian University of TechnologyDalian · China2018–2025 · 6 papers🤝FishBase Information and Research GroupLos Baños · Philippines2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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. Me LLaMA: Foundation Large Language Models for Medical Applications (2024 · 33 citations)
   General-domain open LLMs such as LLaMA often lack specialized medical knowledge. Commercial systems like ChatGPT and GPT-4 are closed and hard to customize. Earlier open medical models seldom combined continual pre-training with instruction tuning, rarely drew on clinical notes and were evaluated mostly on QA. The…
2. INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent (2025 · 29 citations)
   LLM-based agents for finance are usually built for one narrow job, such as trading a single stock or only crypto, and are often tested on proprietary data.
3. Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance (2025 · 12 citations)
   Greek financial text has been largely neglected by LLM research. Greek has rich morphology and few domain resources, and no benchmark has targeted Greek finance specifically. The authors fill this gap with Plutus-ben, an evaluation suite of six tasks: recognizing named entities in both numeric and textual forms…
4. FinChain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoning (2026 · 10 citations)
   Current financial QA benchmarks such as FinQA and ConvFinQA mostly score the final number a model produces.
5. MultiFinBen: Benchmarking Large Language Models for Multilingual and Multimodal Financial Application (2026 · 4 citations)
   Financial work draws on documents in many languages and formats, such as scanned filings, charts, and earnings-call audio.
6. Same Claim, Different Judgment: Benchmarking Scenario-Induced Bias in Multilingual Financial Misinformation Detection (2026 · 2 citations)
   LLMs are increasingly used to judge financial claims, but existing benchmarks such as FinFact and FinDVer test verification in one fixed setting.

🤝 Co-authors here

12 of 31 co-authors with a page, the most papers together first.

• Xueqing Peng ×5
• Jimin Huang ×4
• Yan Wang ×3
• Polydoros Giannouris ×2
• Qianqian Xie ×2
• Ruoyu Xiang ×2
• Triantafillos Papadopoulos ×2
• Yuechen Jiang ×2
• Yueru He ×2
• Yupeng Cao ×2
• Chen Xu
• Cheng Peng

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) ×3: ACL 2026 ×2, ACL 2025
• 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

🔗 Cited by

Papers of our library cite their works 62 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated 1 November 2026

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