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Ben He

Ben He has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Reasoning; often with Hongyu Lin, Le Sun, Xianpei Han.

3 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 30 · 145 works · 3,516 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 134 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #6718

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

🎓University of Chinese Academy of SciencesBeijing · China2011–2026 · 82 papersEmploymentcurrent🏛️Chinese Academy of SciencesBeijing · China2012–2026 · 45 paperscurrent🔬Institute of SoftwareBeijing · China2018–2026 · 30 paperscurrent🎓University of GlasgowGlasgow · United Kingdom2003–2018 · 38 papers🎓York UniversityToronto · Canada2009–2012 · 8 papers

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.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksSafety Research · 1 workSocial Sciences · 1 workInformation Systems · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 workMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20262 papers20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. ChatGPT Is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models (2024 · 106 citations)
    Large language models often struggle with commonsense, but it is unclear where the weakness lies: missing knowledge, or failure to apply it.
  2. All Languages Matter: Understanding and Mitigating Language Bias in Multilingual RAG (2026 · 1 citation)
    Multilingual RAG (mRAG) systems can draw on documents written in many languages. This paper shows that the reranking step skews heavily toward English and toward the language of the query, so relevant evidence in other languages tends to be ignored. To test this, the authors built a pipeline over a 13-language…
  3. Navigating the Infinite Dynamic Web Space: Effective In-Context Exploration via Cognitive Multi-Agent Collaboration (2026)
    Web agents built on LLMs tend to commit to whatever step looks best at the moment. Once they take a wrong turn on a constantly changing website, they rarely retrace their steps. Tree-search alternatives can backtrack, but they are computationally heavy, struggle with irreversible web actions, and mostly depend on…

All works

9 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. TDNN: A Two-stage Deep Neural Network for Prompt-independent Automated Essay Scoring ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetCancan Jin et al.2018 · 141 citations
  2. ChatGPT Is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language ModelsLanguage Resources and Evaluation Conference (LREC)Ning Bian, Xianpei Han, Le Sun, et al.2024 · 106 citations
  3. BERT-QE: Contextualized Query Expansion for Document Re-ranking ↗Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yetZhi Zheng et al.2020 · 100 citations
  4. PARADE: Passage Representation Aggregation forDocument Reranking ↗ACM Transactions on Information Systems · no summary yetCanjia Li et al.2023 · 83 citations
  5. NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetCanjia Li et al.2018 · 70 citations
  6. Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering ↗arXiv:2411.11504 · no summary yetXinyan Guan et al.2024 · 9 citations
  7. All Languages Matter: Understanding and Mitigating Language Bias in Multilingual RAGAnnual Meeting of the Association for Computational Linguistics (ACL)Dan Wang, Guozhao Mo, Yafei Shi, et al.2026 · 1 citation
  8. Navigating the Infinite Dynamic Web Space: Effective In-Context Exploration via Cognitive Multi-Agent CollaborationConference of the European Chapter of the Association for Computational Linguistics (EACL)Guozhao Mo, Yanjiang Liu, Yafei Shi, et al.2026
  9. CodeRise: Bootstrapping LLMs for Ultra Low-Resource Programming Languages via Progressive Self-Refinement Curriculum ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetTengfei Wen et al.2026

 Co-authors here

12 of 14 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 134 times (of the 149,439 papers whose bibliographies we read); 14 citing papers with a page here →.

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