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Lu Chen

Lu Chen has 4 papers in our library, in 2018–2024, most of them on Language models & pretraining, Dialogue systems, Evaluation & benchmarks; often with Kai Yu, Kaige Xie, Qin Liu.

4 papers in our library · 2018–2024

OpenAlex · ORCID · h-index 54 · 661 works · 10,841 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 268 times in our library · ⭐ Paper Stars ranking: #3094

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. 138 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

 Works by year

2020s

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations (2021 · 191 citations)
    Text-to-SQL systems must jointly encode a natural-language question and a database schema of tables and columns, which form a heterogeneous graph.
  2. Towards Universal Dialogue State Tracking (2018 · 191 citations)
    The paper tackles dialogue state tracking (DST), which means estimating a user's goal as slot-value pairs at each turn of a task-oriented spoken dialogue.
  3. Secrets of RLHF in Large Language Models Part I: PPO (2023 · 130 citations)
    RLHF is the main way to make LLMs helpful, honest and harmless. Its PPO stage, though, is unstable, sensitive to hyperparameters and costly to debug, and few open implementations existed. This report from the Fudan NLP Group and ByteDance breaks the RLHF pipeline into its stages: SFT, reward model training, and PPO…
  4. Is LLM a Reliable Reviewer? A Comprehensive Evaluation of LLM on Automatic Paper Reviewing Tasks (2024 · 73 citations)
    The paper asks whether large language models can be trusted as automatic peer reviewers, a question earlier review datasets did not answer well because they did not verify that generated reviews were correct.

 Co-authors here

10 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 268 times (of the 141,840 papers whose bibliographies we read); 25 citing papers with a page here →.

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