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Benfeng Xu

Benfeng Xu has 4 papers in our library, in 2020–2026, most of them on Evaluation & benchmarks; often with Zhendong Mao, Chiwei Zhu, Mingxuan Du.

4 papers in our library · 2020–2026

OpenAlex · ORCID · h-index 10 · 38 works · 729 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 1,821 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #5072

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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. Curriculum Learning for Natural Language Understanding (2020 · 240 citations)
    Pre-trained language models such as BERT are usually fine-tuned on NLU tasks with training examples shuffled randomly and weighted equally.
  2. DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents (2025 · 41 citations)
    Deep Research Agents (DRAs) are LLM systems that search the web over many steps and turn what they find into long, cited reports.
  3. FS-Researcher: Test-Time Scaling for Long-Horizon Research Tasks with File-System-Based Agents (2026 · 1 citation)
    Deep research agents must browse many webpages and produce long reports, but their trajectories quickly exceed the model's context window.
  4. WildGraphBench: Benchmarking GraphRAG with Wild-Source Corpora (2026 · 1 citation)
    Most GraphRAG benchmarks use short, pre-cleaned passages. That makes it hard to judge how graph-based retrieval copes with long, messy, mixed-source document collections, the setting where it should help most. WildGraphBench fills this gap using Wikipedia. Articles from 12 top-level topics are sampled. The external…

All works

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

  1. Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetBenfeng Xu et al.2021 · 237 citations
  2. ExpertPrompting: Instructing Large Language Models to be Distinguished Experts ↗arXiv:2305.14688 · no summary yetBenfeng Xu et al.2023 · 128 citations
  3. UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetWei Tang et al.2022 · 81 citations
  4. DeepResearch Bench: A Comprehensive Benchmark for Deep Research AgentsarXiv:2506.11763Mingxuan Du, Benfeng Xu, Chiwei Zhu, et al.2025 · 41 citations
  5. Disentangled Learning with Synthetic Parallel Data for Text Style Transfer ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetJingxuan Han et al.2024 · 11 citations

 Co-authors here

9 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 1,821 times (of the 149,439 papers whose bibliographies we read); 357 citing papers with a page here →.

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