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Shaolei Zhang

Shaolei Zhang has 4 papers in our library, in 2023–2025, most of them on Language models & pretraining, Dialogue systems, Speech & spoken language; often with Yang Feng, Qingkai Fang, Yan Zhou.

4 papers in our library · 2023–2025

OpenAlex · ORCID · h-index 10 · 33 works · 226 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 220 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5945

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. 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. LLaMA-Omni: Seamless Speech Interaction with Large Language Models (2024 · 91 citations)
    Commercial systems such as GPT-4o allow spoken, real-time conversations with LLMs, but there is little open work on building similar speech interfaces on top of open-source LLMs.
  2. BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language Models (2023 · 85 citations)
    Most large language models are trained mainly on English text and English instructions, so they perform worse in other languages.
  3. TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space (2024 · 57 citations)
    LLMs sometimes give fluent but false answers even when their parameters hold the correct facts. TruthX is an inference-time method that reduces such hallucinations by editing the model's hidden activations. The authors build triplets of a question, a truthful answer and an untruthful answer, feed both versions to the…
  4. LLaMA-Omni 2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis (2025 · 20 citations)
    The paper addresses how to build a spoken chatbot that is smart, responds quickly, and sounds natural, without the huge speech corpora that native SpeechLMs need.

All works

5 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. LLaMA-Omni: Seamless Speech Interaction with Large Language ModelsarXiv:2409.06666Qingkai Fang, Shoutao Guo, Yan Zhou, et al.2024 · 91 citations
  2. BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language ModelsarXiv:2306.10968Shaolei Zhang, Qingkai Fang, Zhuocheng Zhang, et al.2023 · 85 citations
  3. Turning Fixed to Adaptive: Integrating Post-Evaluation into Simultaneous Machine Translation ↗Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yetShoutao Guo, Shaolei Zhang, Yang Feng2022 · 19 citations

 Co-authors here

6 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 220 times (of the 149,439 papers whose bibliographies we read); 56 citing papers with a page here →.

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