Elamur Research⌕
☰
home / authors / Hanqing Lu

Hanqing Lu

Hanqing Lu has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Information retrieval & search; often with Hui Liu, Shenglai Zeng, Tianqi Zheng.

3 papers in our library · 2025–2026

OpenAlex · h-index 12 · 32 works · 548 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 16 times in our library · ⭐ Paper Stars ranking: #8989

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

🏢AmazonSeattle · United States2024–2025 · 4 paperscurrent🎓Chang'an UniversityXi'an · China2025 · 1 papercurrent🏛️Chinese Academy of SciencesBeijing · China2002–2015 · 27 papers🔬Institute of AutomationBeijing · China2002–2015 · 24 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.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksInformation Systems · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Information retrieval & search · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective (2025 · 14 citations)
    RAG systems often fail when the retrieved passages are misleading (for example, after PoisonedRAG-style injection of false answers) or only loosely related to the question. LLMs tend to trust such context over what they already know. The authors frame knowledge checking as four tasks:
  2. Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach (2025 · 5 citations)
    LLMs that receive retrieved passages, as in RAG, tend to trust that text too much. Misleading or off-topic passages can override knowledge the model already has. The authors define a "context-robust" LLM by four behaviours:
  3. Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents (2026 · 2 citations)
    Tool-calling agents used in customer service often meet users whose requests lack key details, shift during the conversation, or break system policy.

 Co-authors here

12 of 21 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 16 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

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