--- title: "Chen Luo — author profile and papers — Elamur Research" description: "Chen Luo, Amazon: 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/chen-luo/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chen-luo/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chen Luo # Chen Luo Chen Luo has 2 papers in our library, in 2026, most of them on [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Hanghang Tong](https://md.research.elamur.ai/free/en/authors/hanghang-tong/), [Hanqing Lu](https://md.research.elamur.ai/free/en/authors/hanqing-lu/), [Jing Huang](https://md.research.elamur.ai/free/en/authors/jing-huang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139814617) · [**h-index 0**](https://openalex.org/authors/A5139814617) · [4 works](https://openalex.org/works?filter=author.id:A5139814617) · [0 citations](https://openalex.org/works?filter=author.id:A5139814617&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/chen-luo/#papers) · [🔗 Cited 4 times in our library](https://md.research.elamur.ai/free/en/authors/chen-luo/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #10689](https://md.research.elamur.ai/free/en/paper-stars/page/107/#star-10689) 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=Chen+Luo) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chen+Luo) · [dblp](https://dblp.org/search?q=Chen+Luo) · [ACL Anthology](https://aclanthology.org/search/?q=Chen+Luo) ## Affiliations [🏢**Amazon** Seattle · United States 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/amazon/) 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).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 1 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/chen-luo/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR](https://md.research.elamur.ai/free/en/papers/xu-2026-prune-as-you-generate-online/)** *(2026 · 2 citations)* RLVR methods such as GRPO and DAPO are expensive because they sample many rollouts per prompt. Their learning signal is also often weak: when a group's rewards are almost all correct or almost all wrong, group-normalized advantages approach zero. The authors propose ARRoL (Accelerating RLVR via online RoLlout… 2. **[Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents](https://md.research.elamur.ai/free/en/papers/wang-2026-trajectory2task-training-robust-tool-calling/)** *(2026 · 2 citations)* Tool-calling agents used in customer service often meet users whose requests lack key details, shift during the conversation, or break system policy. ## All works 3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR](https://md.research.elamur.ai/free/en/papers/xu-2026-prune-as-you-generate-online/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haobo Xu, Sirui Chen, Ruizhong Qiu, et al.*2026 · 2 citations* 2. **[Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents](https://md.research.elamur.ai/free/en/papers/wang-2026-trajectory2task-training-robust-tool-calling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziyi Wang, Yuxuan Lu, Yimeng Zhang, et al.*2026 · 2 citations* 3. **[SessionIntentBench: A Multi-task Inter-session Intention-shift Modeling Benchmark for E-commerce Customer Behavior Understanding ↗](https://aclanthology.org/2026.findings-acl.826/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Yuqi Yang et al.*2026* ## Co-authors here 12 of 17 co-authors with a page, the most papers together first. - [Hanghang Tong](https://md.research.elamur.ai/free/en/authors/hanghang-tong/) - [Hanqing Lu](https://md.research.elamur.ai/free/en/authors/hanqing-lu/) - [Jing Huang](https://md.research.elamur.ai/free/en/authors/jing-huang/) - [Jingrui He](https://md.research.elamur.ai/free/en/authors/jingrui-he/) - [Jiri Gesi](https://md.research.elamur.ai/free/en/authors/jiri-gesi/) - [Monica Xiao Cheng](https://md.research.elamur.ai/free/en/authors/monica-xiao-cheng/) - [Pei Chen](https://md.research.elamur.ai/free/en/authors/pei-chen/) - [Qun Liu](https://md.research.elamur.ai/free/en/authors/qun-liu/) - [Ruizhong Qiu](https://md.research.elamur.ai/free/en/authors/ruizhong-qiu/) - [Sirui Chen](https://md.research.elamur.ai/free/en/authors/sirui-chen/) - [Xianfeng Tang](https://md.research.elamur.ai/free/en/authors/xianfeng-tang/) - [Yimeng Zhang](https://md.research.elamur.ai/free/en/authors/yimeng-zhang/) ## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 - Findings of the Association for Computational Linguistics: ACL 2026 ## Cited by Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chen-luo/cited-by/). Updated 1 November 2026