---
title: "Tianqing Fang — author profile and papers · Discourse analysis"
description: "Tianqing Fang, Hong Kong University of Science and Technology: 8 papers on Elamur Research (2024–2026), h-index 11 — affiliations…"
canonical: "https://research.elamur.ai/free/en/authors/tianqing-fang/"
---
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# Tianqing Fang

Tianqing Fang has 8 papers in our library, in 2024–2026, most of them on [Discourse analysis](https://md.research.elamur.ai/free/en/topics/discourse-analysis/), [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 [Dong Yu](https://md.research.elamur.ai/free/en/authors/dong-yu/), [Haitao Mi](https://md.research.elamur.ai/free/en/authors/haitao-mi/), [Hongming Zhang](https://md.research.elamur.ai/free/en/authors/hongming-zhang/).

8 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5046409172) · [ORCID](https://orcid.org/0000-0002-0186-8253) · [**h-index 11**](https://openalex.org/authors/A5046409172) · [113 works](https://openalex.org/works?filter=author.id:A5046409172) · [356 citations](https://openalex.org/works?filter=author.id:A5046409172&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 8 works in our library](https://md.research.elamur.ai/free/en/authors/tianqing-fang/#papers) · [🔗 Cited 178 times in our library](https://md.research.elamur.ai/free/en/authors/tianqing-fang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6292](https://md.research.elamur.ai/free/en/paper-stars/page/63/#star-6292)

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=Tianqing+Fang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tianqing+Fang) · [dblp](https://dblp.org/search?q=Tianqing+Fang) · [ACL Anthology](https://aclanthology.org/search/?q=Tianqing+Fang)

## Affiliations

[🎓**Hong Kong University of Science and Technology** Hong Kong · China 2019–2026 · 78 papers*current*](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🏢**Tencent** Shenzhen · China 2024–2026 · 35 papers*current*](https://md.research.elamur.ai/free/en/companies/tencent/) · [🎓**The Hong Kong University of Science and Technology (Guangzhou)** Guangzhou · China 2022–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/the-hong-kong-university-of-science-and-technology-guangzhou/) · [🎓**Renmin University of China** Beijing · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/renmin-university-of-china/) · [🎓**University of Hong Kong** Pok Fu Lam · China 2021–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) · [🔬**HKUST Shenzhen Research Institute** Nanshan · China 2026 · 1 paper*current*](https://ror.org/00sz56h79) · [🏢**Alibaba Group** Hangzhou · China 2020–2021 · 7 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🏢**Kuaishou** Beijing · China 2023–2024 · 3 papers](https://md.research.elamur.ai/free/en/companies/kuaishou/) · [🎓**Chinese University of Hong Kong** Hong Kong · China 2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) · [🔬**Zhejiang Lab** Hangzhou · China 2020–2021 · 2 papers](https://md.research.elamur.ai/free/en/labs/zhejiang-lab/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 8 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 8 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 4 Research subjects and languages the work is about.[Discourse analysis · 1 work](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Language models & pretraining · 1 work](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

[**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/tianqing-fang/year/2026/) · [**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/tianqing-fang/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/tianqing-fang/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations](https://md.research.elamur.ai/free/en/papers/chan-2024-exploring-potential-chatgpt-sentence-level/)** *(2024 · 92 citations)* The paper asks whether ChatGPT grasps relations that hold between sentences, which require more than surface-level reading.
2. **[OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and Optimization](https://md.research.elamur.ai/free/en/papers/he-2025-openwebvoyager-building-multimodal-web-agents/)** *(2025 · 18 citations)* Open-source models that improve themselves through exploration have so far been mostly text-only and trained in synthetic environments, where success is easy to measure.
3. **[Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2025-attention-entropy-is-key-factor/)** *(2025 · 14 citations)* The paper asks whether full-attention decoder-only LLMs can encode context in parallel without any fine-tuning.
4. **[WebEvolver: Enhancing Web Agent Self-Improvement with Co-evolving World Model](https://md.research.elamur.ai/free/en/papers/fang-2025-webevolver-enhancing-web-agent-self/)** *(2025 · 11 citations)* Web agents that improve by fine-tuning on their own sampled trajectories tend to plateau. They explore too little, and they underuse the web knowledge already present in pretrained LLMs. WebEvolver tackles this by training a world model alongside the agent. The world model is an LLM fine-tuned on collected…
5. **[Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification](https://md.research.elamur.ai/free/en/papers/wan-2026-inference-time-scaling-verification-self/)** *(2026 · 4 citations)* Deep Research Agents (DRAs) often give unreliable answers because of wrong actions, failed tool calls or hallucinations.
6. **[WebAggregator: Enhancing Compositional Reasoning Capabilities of Deep Research Agent Foundation Models](https://md.research.elamur.ai/free/en/papers/wang-2026-webaggregator-enhancing-compositional-reasoning-capabilities/)** *(2026 · 1 citation)* Deep Research agents need more than retrieval. They must combine scattered, heterogeneous evidence through multi-step reasoning. Existing training and evaluation resources mostly reward locating a single entity, so agents learn to call tools often instead of reasoning carefully.
7. **[WebRollback: Enhancing Web Agents with Explicit Rollback Mechanisms](https://md.research.elamur.ai/free/en/papers/zhang-2026-webrollback-enhancing-web-agents-explicit/)** *(2026 · 1 citation)* Most LLM-based web agents navigate greedily in a single direction. On live, changing websites they can enter a wrong state and waste many steps before recovering, if they recover at all. Parallel search methods are costly here because each branch needs its own browser environment. Best-first search, as in Koh et al.…
8. **[Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding](https://md.research.elamur.ai/free/en/papers/wang-2026-measure-twice-click-once-co/)** *(2026)* GUI grounding means turning a natural-language instruction into exact click coordinates on a screenshot. MLLMs find it hard on high-resolution, crowded interfaces: they often understand the request but miss the precise pixel location. Drawing several samples raises Pass@k. However, clustering-style self-consistency…

## All works

9 works of theirs in our library, the most cited first; 8 with a page here, the others link their original until we summarise them.

1. **[Probing Toxic Content in Large Pre-Trained Language Models ↗](https://aclanthology.org/2021.acl-long.329/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Nedjma Ousidhoum et al.*2021 · 120 citations*
2. **[Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations](https://md.research.elamur.ai/free/en/papers/chan-2024-exploring-potential-chatgpt-sentence-level/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chunkit Chan, Cheng Jiayang, Weiqi Wang, et al.*2024 · 92 citations*
3. **[OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and Optimization](https://md.research.elamur.ai/free/en/papers/he-2025-openwebvoyager-building-multimodal-web-agents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hongliang He, Wenlin Yao, Kaixin Ma, et al.*2025 · 18 citations*
4. **[Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2025-attention-entropy-is-key-factor/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhisong Zhang, Yan Wang, Xinting Huang, et al.*2025 · 14 citations*
5. **[WebEvolver: Enhancing Web Agent Self-Improvement with Co-evolving World Model](https://md.research.elamur.ai/free/en/papers/fang-2025-webevolver-enhancing-web-agent-self/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tianqing Fang, Hongming Zhang, Zhisong Zhang, et al.*2025 · 11 citations*
6. **[Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification](https://md.research.elamur.ai/free/en/papers/wan-2026-inference-time-scaling-verification-self/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuxuan Wan, Tianqing Fang, Zaitang LI, et al.*2026 · 4 citations*
7. **[WebAggregator: Enhancing Compositional Reasoning Capabilities of Deep Research Agent Foundation Models](https://md.research.elamur.ai/free/en/papers/wang-2026-webaggregator-enhancing-compositional-reasoning-capabilities/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rui Wang, Ce Zhang, Jun-Yu Ma, et al.*2026 · 1 citation*
8. **[WebRollback: Enhancing Web Agents with Explicit Rollback Mechanisms](https://md.research.elamur.ai/free/en/papers/zhang-2026-webrollback-enhancing-web-agents-explicit/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zhisong Zhang, Tianqing Fang, Kaixin Ma, et al.*2026 · 1 citation*
9. **[Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding](https://md.research.elamur.ai/free/en/papers/wang-2026-measure-twice-click-once-co/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenkai Wang, Xiyun Li, Hongcan Guo, et al.*2026*

## Co-authors here

12 of 29 co-authors with a page, the most papers together first.

- [Dong Yu](https://md.research.elamur.ai/free/en/authors/dong-yu/) ×7
- [Haitao Mi](https://md.research.elamur.ai/free/en/authors/haitao-mi/) ×5
- [Hongming Zhang](https://md.research.elamur.ai/free/en/authors/hongming-zhang/) ×5
- [Wenhao Yu](https://md.research.elamur.ai/free/en/authors/wenhao-yu/) ×4
- [Zhisong Zhang](https://md.research.elamur.ai/free/en/authors/zhisong-zhang/) ×4
- [Kaixin Ma](https://md.research.elamur.ai/free/en/authors/kaixin-ma/) ×3
- [Boyang Xue](https://md.research.elamur.ai/free/en/authors/boyang-xue/)
- [Cheng Jiayang](https://md.research.elamur.ai/free/en/authors/cheng-jiayang/)
- [Chenlong Deng](https://md.research.elamur.ai/free/en/authors/chenlong-deng/)
- [Chunkit Chan](https://md.research.elamur.ai/free/en/authors/chunkit-chan/)
- [Hongliang He](https://md.research.elamur.ai/free/en/authors/hongliang-he/)
- [Hongru Wang](https://md.research.elamur.ai/free/en/authors/hongru-wang/)

## 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/) ×4: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/), [Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/)
- [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)
- Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

## Cited by

Papers of our library cite their works 178 times (of the 149,439 papers whose bibliographies we read); [47 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/tianqing-fang/cited-by/).

Updated 1 November 2026