--- title: "Shengjie Bi — author profile and papers — Elamur Research" description: "Shengjie Bi, Meta: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/shengjie-bi/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shengjie-bi/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shengjie Bi # Shengjie Bi Shengjie Bi has 2 papers in our library, in 2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Beibin Li](https://md.research.elamur.ai/free/en/authors/beibin-li/), [Hejia Zhang](https://md.research.elamur.ai/free/en/authors/hejia-zhang/), [Jingyu Zhang](https://md.research.elamur.ai/free/en/authors/jingyu-zhang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5140949645) · [**h-index 0**](https://openalex.org/authors/A5140949645) · [9 works](https://openalex.org/works?filter=author.id:A5140949645) · [0 citations](https://openalex.org/works?filter=author.id:A5140949645&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/shengjie-bi/#papers) · [🔗 Cited 9 times in our library](https://md.research.elamur.ai/free/en/authors/shengjie-bi/cited-by/) · [⭐ Paper Stars ranking: #11316](https://md.research.elamur.ai/free/en/paper-stars/page/114/#star-11316) 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=Shengjie+Bi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shengjie+Bi) · [dblp](https://dblp.org/search?q=Shengjie+Bi) · [ACL Anthology](https://aclanthology.org/search/?q=Shengjie+Bi) ## Affiliations [🏢**Meta** London · United Kingdom 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/meta-united-kingdom/) 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 5 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/shengjie-bi/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following](https://md.research.elamur.ai/free/en/papers/he-2026-advancedif-rubric-based-benchmarking-reinforcement/)** *(2026 · 9 citations)* LLMs still struggle with demanding instruction following (IF): prompts with many stacked constraints, instructions carried across long conversations, and directives in system prompts. 2. **[Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/phan-2026-beyond-reasoning-gains-mitigating-general/)** *(2026)* Reinforcement learning with verifiable rewards (RLVR) improves math and multimodal reasoning, but it tends to wear away skills a model already had, such as perception, OCR and robustness. ## Co-authors here 9 co-authors with a page, the most papers together first. - [Beibin Li](https://md.research.elamur.ai/free/en/authors/beibin-li/) - [Hejia Zhang](https://md.research.elamur.ai/free/en/authors/hejia-zhang/) - [Jingyu Zhang](https://md.research.elamur.ai/free/en/authors/jingyu-zhang/) - [Karishma Mandyam](https://md.research.elamur.ai/free/en/authors/karishma-mandyam/) - [Madian Khabsa](https://md.research.elamur.ai/free/en/authors/madian-khabsa/) - [Shishir G Patil](https://md.research.elamur.ai/free/en/authors/shishir-g-patil/) - [Sopan Khosla](https://md.research.elamur.ai/free/en/authors/sopan-khosla/) - [Xianjun Yang](https://md.research.elamur.ai/free/en/authors/xianjun-yang/) - [Yuanshun Yao](https://md.research.elamur.ai/free/en/authors/yuanshun-yao/) ## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 9 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shengjie-bi/cited-by/). Updated 1 November 2026