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Haihong E

Haihong E has 3 papers in our library, in 2019–2026, most of them on Reasoning; often with Jiacheng Liu, Rongjin Li, Zhongjun Yang.

3 papers in our library · 2019–2026

OpenAlex · ORCID · h-index 16 · 162 works · 1,792 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 137 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4854

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

🎓Beijing University of Posts and TelecommunicationsBeijing · China2007–2026 · 142 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArts and Humanities · 2 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workDecision Sciences · 1 workManagement Science and Operations Research · 1 work

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 1 work

 Works by year

2020s

20261 paper20251 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling (2019 · 302 citations)
    Spoken language understanding (SLU) requires two linked predictions: a single intent label for an utterance (intent detection, ID) and a tag for each token (slot filling, SF).
  2. FinanceReasoning: Benchmarking Financial Numerical Reasoning More Credible, Comprehensive and Challenging (2025 · 13 citations)
    Benchmarks for financial numerical reasoning have become too easy and too noisy to measure what large reasoning models (LRMs) can actually do.
  3. RoadMapper: A Multi-Agent System for Roadmap Generation of Solving Complex Research Problems (2026)
    The paper introduces roadmap generation as a new task. Given a complex research problem, an LLM must produce a hierarchical, tree-shaped plan of subtasks that guides a researcher step by step. The plan is encoded as Markdown headings with numbered indices.

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot FillingAnnual Meeting of the Association for Computational Linguistics (ACL)Haihong E, Peiqing Niu, Zhongfu Chen, et al.2019 · 302 citations
  2. ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models ↗arXiv:2310.08975 · ACL 2024 · no summary yetHaoran Luo et al.2023 · 129 citations
  3. FinanceReasoning: Benchmarking Financial Numerical Reasoning More Credible, Comprehensive and ChallengingAnnual Meeting of the Association for Computational Linguistics (ACL)Zichen Tang, Haihong E, Ziyan Ma, et al.2025 · 13 citations
  4. RoadMapper: A Multi-Agent System for Roadmap Generation of Solving Complex Research ProblemsFindings of the Association for Computational LinguisticsJiacheng Liu, Zichen Tang, Zhongjun Yang, et al.2026

 Co-authors here

6 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 137 times (of the 149,439 papers whose bibliographies we read); 19 citing papers with a page here →.

Updated

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