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Wei Shao

Wei Shao has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining, Discourse analysis, Dialogue systems; often with Erik Cambria, Jiafeng Guo, Lei Yu.

3 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 0 · 5 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 7 times in our library · ⭐ Paper Stars ranking: #9680

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

 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. Task-Aware Self-Supervised Framework for Dialogue Discourse Parsing (2023 · 10 citations)
    Dialogue discourse parsing (DDP) determines which earlier utterance each turn attaches to and what relation connects them.
  2. LoPT: Lossless Parallel Tokenization Acceleration for Long Context Inference of Large Language Model (2026 · 2 citations)
    LoPT targets an often-ignored source of latency in long-context LLM inference: tokenization of very long inputs, which runs on the CPU.
  3. Detoxification for LLM: From Dataset Itself (2026)
    Most LLM detoxification work acts late, through post-training or controlled decoding at inference time. That leaves the toxic knowledge absorbed from training data in place. This paper instead cleans the training corpus before any model learns from it. The authors propose HSPD (Hierarchical Semantic-Preserving…

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

Updated

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