---
title: "Shizhe Diao — author profile and papers — Elamur Research"
description: "Shizhe Diao, Nvidia: 4 papers on Elamur Research (2023–2024), h-index 14 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/shizhe-diao/"
---
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# Shizhe Diao

Shizhe Diao has 4 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Tong Zhang](https://md.research.elamur.ai/free/en/authors/tong-zhang/), [Wei Xiong](https://md.research.elamur.ai/free/en/authors/wei-xiong/), [Hanze Dong](https://md.research.elamur.ai/free/en/authors/hanze-dong/).

4 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5058966093) · [ORCID](https://orcid.org/0000-0002-3325-9209) · [Wikidata](https://www.wikidata.org/wiki/Q131008515) · [**h-index 14**](https://openalex.org/authors/A5058966093) · [95 works](https://openalex.org/works?filter=author.id:A5058966093) · [867 citations](https://openalex.org/works?filter=author.id:A5058966093&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/shizhe-diao/#papers) · [🔗 Cited 792 times in our library](https://md.research.elamur.ai/free/en/authors/shizhe-diao/cited-by/) · [12 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3313](https://md.research.elamur.ai/free/en/paper-stars/page/34/#star-3313)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Shizhe+Diao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shizhe+Diao) · [dblp](https://dblp.org/search?q=Shizhe+Diao) · [ACL Anthology](https://aclanthology.org/search/?q=Shizhe+Diao)

## Affiliations

[🏢**Nvidia** Santa Clara · United States 2023–2026 · 16 papers*current*](https://md.research.elamur.ai/free/en/companies/nvidia/) · [🏢**Nvidia** Reading · United Kingdom 2023–2026 · 15 papers*current*](https://md.research.elamur.ai/free/en/companies/nvidia-united-kingdom/) · [🎓**University of Ottawa** Ottawa · Canada 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-ottawa/) · [🎓**Hong Kong University of Science and Technology** Hong Kong · Hong Kong 2020–2025 · 52 papersEducation](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2023–2024 · 7 papers](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**Chinese University of Hong Kong, Shenzhen** Shenzhen · China 2020–2023 · 4 papers](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong-shenzhen/) · [🎓**Wuhan University** Wuhan · China 2023–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/wuhan-university/) · [🎓**Georgia Institute of Technology** Atlanta · United States 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) · [🎓**University of Toronto** Toronto · Canada 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-toronto/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 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.

📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2024** 2 papers Shizhe Diao's papers of 2024](https://md.research.elamur.ai/free/en/authors/shizhe-diao/year/2024/) · [**2023** 2 papers Shizhe Diao's papers of 2023](https://md.research.elamur.ai/free/en/authors/shizhe-diao/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment](https://md.research.elamur.ai/free/en/papers/dong-2023-raft-reward-ranked-finetuning-generative/)** *(2023 · 239 citations)* Aligning generative foundation models with human preferences usually relies on RLHF with PPO. PPO is unstable and sample-inefficient, and it must keep several large models in memory at once (policy, reference, reward, critic). The authors propose RAFT (Reward rAnked FineTuning), a simpler alternative that repeats…
2. **[Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data](https://md.research.elamur.ai/free/en/papers/shum-2023-automatic-prompt-augmentation-selection-chain/)** *(2023 · 128 citations)* Chain-of-thought (CoT) prompting helps large language models reason, but it usually depends on hand-written rationale exemplars.
3. **[Mitigating the Alignment Tax of RLHF](https://md.research.elamur.ai/free/en/papers/lin-2024-mitigating-alignment-tax-rlhf/)** *(2024 · 82 citations)* RLHF makes LLMs follow human preferences, but it also tends to erode skills learned in pre-training. This loss is called the alignment tax. The authors measured it by aligning OpenLLaMA-3B on the Anthropic helpfulness/harmlessness data with Rejection Sampling Fine-tuning (RSF) and DPO. They then tracked performance…
4. **[Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards](https://md.research.elamur.ai/free/en/papers/wang-2024-arithmetic-control-llms-diverse-user/)** *(2024 · 66 citations)* Standard RLHF compresses human judgments into one scalar reward. This pushes a model toward an "average user" and ignores people whose tastes conflict, such as those who want useful but short answers. The authors propose Directional Preference Alignment (DPA) to address this.

## All works

16 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. [**RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment arXiv:2304.06767**Hanze Dong, Wei Xiong, Deepanshu Goyal, et al.*2023 · 239 citations*](https://md.research.elamur.ai/free/en/papers/dong-2023-raft-reward-ranked-finetuning-generative/)
2. **[Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data](https://md.research.elamur.ai/free/en/papers/shum-2023-automatic-prompt-augmentation-selection-chain/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kashun Shum, Shizhe Diao, Tong Zhang*2023 · 128 citations*
3. **[R-Tuning: Instructing Large Language Models to Say ‘I Don't Know' ↗](https://aclanthology.org/2024.naacl-long.394/) Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yet**Hanning Zhang et al.*2024 · 95 citations*
4. **[Small Language Models are the Future of Agentic AI ↗](https://arxiv.org/abs/2506.02153) arXiv:2506.02153 · no summary yet**Peter Belcak et al.*2025 · 89 citations*
5. **[Mitigating the Alignment Tax of RLHF](https://md.research.elamur.ai/free/en/papers/lin-2024-mitigating-alignment-tax-rlhf/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yong Lin, Hangyu Lin, Wei Xiong, et al.*2024 · 82 citations*
6. **[Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards](https://md.research.elamur.ai/free/en/papers/wang-2024-arithmetic-control-llms-diverse-user/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haoxiang Wang, Yong Lin, Wei Xiong, et al.*2024 · 66 citations*
7. **[TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts ↗](https://arxiv.org/abs/2407.03203) arXiv:2407.03203 · no summary yet**Ruida Wang et al.*2024 · 50 citations*
8. **[ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models ↗](https://arxiv.org/abs/2505.24864) arXiv:2505.24864 · no summary yet**Mingjie Liu et al.*2025 · 49 citations*
9. **[Hymba: A Hybrid-head Architecture for Small Language Models ↗](https://arxiv.org/abs/2411.13676) arXiv:2411.13676 · no summary yet**Xin Dong et al.*2024 · 49 citations*
10. **[LLM Pruning and Distillation in Practice: The Minitron Approach ↗](https://arxiv.org/abs/2408.11796) arXiv:2408.11796 · no summary yet**Sharath Turuvekere Sreenivas et al.*2024 · 43 citations*
11. **[NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model ↗](https://arxiv.org/abs/2508.14444) arXiv:2508.14444 · no summary yet**NVIDIA: Aarti Basant et al.*2025 · 39 citations*
12. **[UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models ↗](https://arxiv.org/abs/2502.00334) arXiv:2502.00334 · no summary yet**Xin Xu et al.*2025 · 19 citations*
13. **[MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem Proving ↗](https://arxiv.org/abs/2503.03205) arXiv:2503.03205 · no summary yet**Ruida Wang et al.*2025 · 17 citations*
14. **[Entropy-Regularized Process Reward Model ↗](https://arxiv.org/abs/2412.11006) arXiv:2412.11006 · no summary yet**Hanning Zhang et al.*2024 · 17 citations*
15. **[Speech-Hands: A Self-Reflection Voice Agentic Approach to Speech Recognition and Audio Reasoning with Omni Perception ↗](https://aclanthology.org/2026.acl-long.1997/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Zhen Wan et al.*2026*
16. **[PROBE: PROcess-Based BEnchmark for Hallucination Detection ↗](https://aclanthology.org/2026.findings-acl.2099/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Yu Zhang et al.*2026*

## Co-authors here

11 co-authors with a page, the most papers together first.

- [Tong Zhang](https://md.research.elamur.ai/free/en/authors/tong-zhang/) ×3
- [Wei Xiong](https://md.research.elamur.ai/free/en/authors/wei-xiong/) ×3
- [Hanze Dong](https://md.research.elamur.ai/free/en/authors/hanze-dong/) ×2
- [Haoxiang Wang](https://md.research.elamur.ai/free/en/authors/haoxiang-wang/) ×2
- [Jipeng Zhang](https://md.research.elamur.ai/free/en/authors/jipeng-zhang/) ×2
- [Kashun Shum](https://md.research.elamur.ai/free/en/authors/kashun-shum/) ×2
- [Rui Pan](https://md.research.elamur.ai/free/en/authors/rui-pan/) ×2
- [Yong Lin](https://md.research.elamur.ai/free/en/authors/yong-lin/) ×2
- [Han Zhao](https://md.research.elamur.ai/free/en/authors/han-zhao/)
- [Hangyu Lin](https://md.research.elamur.ai/free/en/authors/hangyu-lin/)
- [Rui Yang](https://md.research.elamur.ai/free/en/authors/rui-yang/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/findings/2023/)
- Findings of the Association for Computational Linguistics: ACL 2026
- Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

## Cited by

Papers of our library cite their works 792 times (of the 141,840 papers whose bibliographies we read); [45 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shizhe-diao/cited-by/).

Updated 24 October 2026