--- title: "Jingang Wang · Fudan University — author profile and papers" description: "Jingang Wang, Fudan University: 7 papers on Elamur Research (2022–2026), h-index 1 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/jingang-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jingang-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jingang Wang # Jingang Wang Jingang Wang has 7 papers in our library, in 2022–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Fei Sun](https://md.research.elamur.ai/free/en/authors/fei-sun/), [Xin Chen](https://md.research.elamur.ai/free/en/authors/xin-chen/), [Xueqi Cheng](https://md.research.elamur.ai/free/en/authors/xueqi-cheng/). 7 papers in our library · 2022–2026 [OpenAlex](https://openalex.org/A5139790519) · [**h-index 1**](https://openalex.org/authors/A5139790519) · [20 works](https://openalex.org/works?filter=author.id:A5139790519) · [1 citations](https://openalex.org/works?filter=author.id:A5139790519&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 7 works in our library](https://md.research.elamur.ai/free/en/authors/jingang-wang/#papers) · [🔗 Cited 124 times in our library](https://md.research.elamur.ai/free/en/authors/jingang-wang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4391](https://md.research.elamur.ai/free/en/paper-stars/page/44/#star-4391) 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=Jingang+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jingang+Wang) · [dblp](https://dblp.org/search?q=Jingang+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Jingang+Wang) ## Affiliations [🏢**Meituan** Beijing · China 2026 · 15 papers*current*](https://md.research.elamur.ai/free/en/companies/meituan/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🎓**Fudan University** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🔬**Institute of Computing Technology** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/labs/institute-of-computing-technology/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## 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).[Arts and Humanities · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 7 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/) · [Computer Vision and Pattern Recognition · 2 works](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 5 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Dialogue systems · 2 works](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) ## Works by year ### 2020s [**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/jingang-wang/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/jingang-wang/year/2025/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/jingang-wang/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification](https://md.research.elamur.ai/free/en/papers/hu-2022-knowledgeable-prompt-tuning-incorporating-knowledge/)** *(2022 · 362 citations)* Prompt-tuning turns text classification into a masked language modeling task. A template wraps the input, and a verbalizer maps predicted words at the [MASK] position to class labels. Verbalizers are usually handcrafted with a single class-name word or learned from data. Hand-built ones cover too few words and carry… 2. **[Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs](https://md.research.elamur.ai/free/en/papers/tan-2025-too-consistent-detect-study-self/)** *(2025 · 12 citations)* LLM error detectors often treat agreement across sampled answers as a sign of correctness. This paper identifies a blind spot in that assumption: self-consistent errors , where a model gives the same wrong answer, up to semantic equivalence, in its greedy output and in all stochastic samples. The authors define these… 3. **[Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference](https://md.research.elamur.ai/free/en/papers/wang-2025-sibyl-empowering-empathetic-dialogue-generation/)** *(2025 · 9 citations)* LLM-based chatbots often fall short on empathy and emotional support in multi-turn conversations, even when they are given commonsense knowledge. 4. **[The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis](https://md.research.elamur.ai/free/en/papers/wei-2026-evolution-thought-tracking-llm-overthinking/)** *(2026 · 6 citations)* Reasoning LLMs often keep generating "thinking" tokens after they already have enough information to answer, which wastes compute and is known as overthinking. 5. **[Unlocking Implicit Experience: Synthesizing Tool-Use Trajectories from Text](https://md.research.elamur.ai/free/en/papers/xu-2026-unlocking-implicit-experience-synthesizing-tool/)** *(2026 · 4 citations)* Training LLM agents for multi-turn tool use is limited by a shortage of realistic trajectories. Most existing synthesis methods start from a fixed API collection, so the data can only be as broad as that collection. The authors invert this approach. They argue that ordinary web text, such as how-to guides and… 6. **[BaseCal: Unsupervised Confidence Calibration via Base Model Signals](https://md.research.elamur.ai/free/en/papers/tan-2026-basecal-unsupervised-confidence-calibration-base/)** *(2026 · 1 citation)* Post-trained LLMs (PoLLMs), such as instruction-tuned or RLHF-aligned models, tend to be overconfident: they assign high probability even to wrong answers, which limits the usefulness of confidence for detecting hallucinations. 7. **[MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks](https://md.research.elamur.ai/free/en/papers/ruan-2026-mtr-suite-framework-evaluating-synthesizing/)** *(2026)* Conversational retrieval decides which evidence a RAG system can use, but its benchmarks have two kinds of flaws. ## All works 8 works of theirs in our library, the most cited first; 7 with a page here, the others link their original until we summarise them. 1. **[Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification](https://md.research.elamur.ai/free/en/papers/hu-2022-knowledgeable-prompt-tuning-incorporating-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shengding Hu, Ning Ding, Huadong Wang, et al.*2022 · 362 citations* 2. **[Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs](https://md.research.elamur.ai/free/en/papers/tan-2025-too-consistent-detect-study-self/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hexiang Tan, Fei Sun, Sha Liu, et al.*2025 · 12 citations* 3. **[Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference](https://md.research.elamur.ai/free/en/papers/wang-2025-sibyl-empowering-empathetic-dialogue-generation/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Lanrui Wang, Jiangnan Li, Chenxu Yang, et al.*2025 · 9 citations* 4. **[The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis](https://md.research.elamur.ai/free/en/papers/wei-2026-evolution-thought-tracking-llm-overthinking/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zihao Wei, Liang Pang, Jiahao Liu, et al.*2026 · 6 citations* 5. **[Unlocking Implicit Experience: Synthesizing Tool-Use Trajectories from Text](https://md.research.elamur.ai/free/en/papers/xu-2026-unlocking-implicit-experience-synthesizing-tool/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhihao Xu, Rumei Li, Jiahuan Li, et al.*2026 · 4 citations* 6. **[BaseCal: Unsupervised Confidence Calibration via Base Model Signals](https://md.research.elamur.ai/free/en/papers/tan-2026-basecal-unsupervised-confidence-calibration-base/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hexiang Tan, Wanli Yang, Junwei Zhang, et al.*2026 · 1 citation* 7. **[MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks](https://md.research.elamur.ai/free/en/papers/ruan-2026-mtr-suite-framework-evaluating-synthesizing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junhao Ruan, Abudukeyumu Abudula, Bei Li, et al.*2026* 8. **[LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points ↗](https://aclanthology.org/2026.acl-long.1036/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Xuemiao Zhang et al.*2026* ## Co-authors here 12 of 34 co-authors with a page, the most papers together first. - [Fei Sun](https://md.research.elamur.ai/free/en/authors/fei-sun/) ×3 - [Xin Chen](https://md.research.elamur.ai/free/en/authors/xin-chen/) ×3 - [Xueqi Cheng](https://md.research.elamur.ai/free/en/authors/xueqi-cheng/) ×3 - [Xunliang Cai](https://md.research.elamur.ai/free/en/authors/xunliang-cai/) ×3 - [Du Su](https://md.research.elamur.ai/free/en/authors/du-su/) ×2 - [Hexiang Tan](https://md.research.elamur.ai/free/en/authors/hexiang-tan/) ×2 - [Huawei Shen](https://md.research.elamur.ai/free/en/authors/huawei-shen/) ×2 - [Yuanzhuo Wang](https://md.research.elamur.ai/free/en/authors/yuanzhuo-wang/) ×2 - [Bei Li](https://md.research.elamur.ai/free/en/authors/bei-li/) - [Huan Liu](https://md.research.elamur.ai/free/en/authors/huan-liu/) - [Jiahao Liu](https://md.research.elamur.ai/free/en/authors/jiahao-liu/) - [Jiahuan Li](https://md.research.elamur.ai/free/en/authors/jiahuan-li/) ## 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/) ×6: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×4, [ACL 2022](https://md.research.elamur.ai/free/en/venues/acl/2022/) - [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/) - [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/) ## Cited by Papers of our library cite their works 124 times (of the 149,439 papers whose bibliographies we read); [25 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jingang-wang/cited-by/). Updated 1 November 2026