Jiahui Geng
Jiahui Geng has 3 papers in our library, in 2025–2026, most of them on Multilingual & cross-lingual NLP, Language models & pretraining, Bias, fairness & safety; often with Bo Zeng, Chenyang Lyu, Giovanni Puccetti.
OpenAlex · ORCID · h-index 10 · 67 works · 473 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 211 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #8505
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 work
🧭 Topics 3Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 2 worksBias, fairness & safety · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models (2025 · 19 citations)
The paper asks how jailbreak prompts get past an LLM's safety alignment. Earlier interpretability studies disagreed on which layers matter and on how malicious activations evolve. The authors argue those conflicts come from small samples, often around 100 prompts. They analyze last-token activations for more than… - Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI (2026 · 5 citations)
Earlier work suggested that people can barely tell LLM output from human writing. Most of that evidence came from English text, GPT-3.5-turbo, and small samples. This paper tests whether the claim holds for newer models, other languages and expert readers, aiming to estimate the ceiling of human detection ability. - Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language (2025 · 5 citations)
Most benchmarks for LLM instruction following are English-only or plain machine translations, so they handle constraints that don't transfer across languages poorly.
All works
- A Survey of Confidence Estimation and Calibration in Large Language Models ↗arXiv:2311.08298 · no summary yetJiahui Geng et al.2023 · 97 citations
- CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark ↗arXiv:2406.05967 · no summary yetDavid Romero et al.2024 · 90 citations
- A Survey of Confidence Estimation and Calibration in Large Language Models ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetJiahui Geng et al.2024 · 84 citations
- Improved Gradient Inversion Attacks and Defenses in Federated Learning ↗IEEE Transactions on Big Data · no summary yetJiahui Geng et al.2023 · 51 citations
- A Survey on Dataset Distillation: Approaches, Applications and Future Directions ↗arXiv:2305.01975 · no summary yetJiahui Geng et al.2023 · 25 citations
- Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Lang Gao, Jiahui Geng, Xiangliang Zhang, et al.2025 · 19 citations
- Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AIAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxia Wang, Rui Xing, Jonibek Mansurov, et al.2026 · 5 citations
- Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large LanguageAnnual Meeting of the Association for Computational Linguistics (ACL)Bo Zeng, Chenyang Lyu, Sinuo Liu, et al.2025 · 5 citations
- CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetEmilio Villa-Cueva et al.2025 · 5 citations
Co-authors here
- Bo Zeng
- Chenyang Lyu
- Giovanni Puccetti
- Jinyan Su
- Jonibek Mansurov
- Kareem Elozeiri
- Lang Gao
- Mervat Abassy
- Minghao Wu
- Minh Ngoc Ta
- Preslav Nakov
- Rui Xing
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×3: ACL 2026, ACL 2025 ×2
- Findings of the Association for Computational Linguistics: EMNLP 2025
- IEEE Transactions on Big Data
- Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Cited by
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