--- title: "Xingyu Li — author profile and papers · Question answering" description: "Xingyu Li: 3 papers on Elamur Research (2019–2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/xingyu-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xingyu-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xingyu Li # Xingyu Li Xingyu Li has 3 papers in our library, in 2019–2026, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Cheng Liu](https://md.research.elamur.ai/free/en/authors/cheng-liu/), [Dan Roth](https://md.research.elamur.ai/free/en/authors/dan-roth/), [Jimmy Lin](https://md.research.elamur.ai/free/en/authors/jimmy-lin/). 3 papers in our library · 2019–2026 [OpenAlex](https://openalex.org/A5139807093) · [**h-index 0**](https://openalex.org/authors/A5139807093) · [3 works](https://openalex.org/works?filter=author.id:A5139807093) · [0 citations](https://openalex.org/works?filter=author.id:A5139807093&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/xingyu-li/#papers) · [🔗 Cited 159 times in our library](https://md.research.elamur.ai/free/en/authors/xingyu-li/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4030](https://md.research.elamur.ai/free/en/paper-stars/page/41/#star-4030) 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=Xingyu+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xingyu+Li) · [dblp](https://dblp.org/search?q=Xingyu+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Xingyu+Li) ## 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/xingyu-li/year/2026/) ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/xingyu-li/year/2019/) ## Papers The most cited first (OpenAlex and our library). 1. **[End-to-End Open-Domain Question Answering with BERTserini](https://md.research.elamur.ai/free/en/papers/yang-2019-end-end-open-domain-question/)** *(2019 · 549 citations)* Most QA benchmarks of the time give the system a ready passage or a short list of candidate sentences. The step of finding relevant text in a large collection is left out. This demo paper presents BERTserini, which answers questions directly over a Wikipedia dump of 5.08M articles. It chains two modules. First, the… 2. **[Chart-RL: Generalized Chart Comprehension via Reinforcement Learning with Verifiable Rewards](https://md.research.elamur.ai/free/en/papers/zhang-2026-chart-rl-generalized-chart-comprehension/)** *(2026 · 1 citation)* Vision-language models (VLMs) often fail on charts they have not seen before. Chart questions call for symbolic and quantitative multi-step reasoning, and supervised fine-tuning (SFT) on domain data tends to overfit and cause forgetting. The authors propose Chart-RL, which extends the open-source VLM-R1 platform with… 3. **[TrajGuard: Streaming Hidden-state Trajectory Detection for Decoding-time Jailbreak Defense](https://md.research.elamur.ai/free/en/papers/liu-2026-trajguard-streaming-hidden-state-trajectory/)** *(2026)* Most jailbreak defenses judge a prompt, an output, or a single internal state in isolation. This misses how risk builds up while a response is being generated. The authors compare prompt representations with decoding-time hidden states across several models. They find that jailbreak prompts stay mixed in with benign… ## All works 4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[End-to-End Open-Domain Question Answering with BERTserini](https://md.research.elamur.ai/free/en/papers/yang-2019-end-end-open-domain-question/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Wei Yang, Yuqing Xie, Aileen Lin, et al.*2019 · 549 citations* 2. **[Chart-RL: Generalized Chart Comprehension via Reinforcement Learning with Verifiable Rewards](https://md.research.elamur.ai/free/en/papers/zhang-2026-chart-rl-generalized-chart-comprehension/) [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/)**Xin Zhang, Xingyu Li, Rongguang Wang, et al.*2026 · 1 citation* 3. **[TrajGuard: Streaming Hidden-state Trajectory Detection for Decoding-time Jailbreak Defense](https://md.research.elamur.ai/free/en/papers/liu-2026-trajguard-streaming-hidden-state-trajectory/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Cheng Liu, Xiaolei Liu, Xingyu Li, et al.*2026* 4. **[PAR2-RAG: Planned Active Retrieval and Reasoning for Multi-Hop Question Answering ↗](https://aclanthology.org/2026.acl-industry.118/) Annual Meeting of the Association for Computational Linguistics (ACL) · no summary yet**Xingyu Li et al.*2026* ## Co-authors here 7 co-authors with a page, the most papers together first. - [Cheng Liu](https://md.research.elamur.ai/free/en/authors/cheng-liu/) - [Dan Roth](https://md.research.elamur.ai/free/en/authors/dan-roth/) - [Jimmy Lin](https://md.research.elamur.ai/free/en/authors/jimmy-lin/) - [Ming Li](https://md.research.elamur.ai/free/en/authors/ming-li/) - [Wei Yang](https://md.research.elamur.ai/free/en/authors/wei-yang/) - [Xin Zhang](https://md.research.elamur.ai/free/en/authors/xin-zhang/) - [Zheng Wang](https://md.research.elamur.ai/free/en/authors/zheng-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [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/) - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2019](https://md.research.elamur.ai/free/en/venues/naacl/2019/) - [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/): [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era 2026](https://md.research.elamur.ai/free/en/venues/surgellm/2026/) - Annual Meeting of the Association for Computational Linguistics (ACL) ## Cited by Papers of our library cite their works 159 times (of the 149,439 papers whose bibliographies we read); [29 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xingyu-li/cited-by/). Updated 1 November 2026