Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder. - Yunsu Kim 001; Jiahui Geng; Hermann Ney (EMNLP, 2018)

The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018. - Miguel Graça; Yunsu Kim 001; Julian Schamper; Jiahui Geng; Hermann Ney (WMT (shared task), 2018)

Efficient Patch-Wise Semantic Segmentation for Large-Scale Remote Sensing Images. - Yan Liu; Qirui Ren; Jiahui Geng; Meng Ding 001; Jiangyun Li (Sensors, 2018)

DID-eFed: Facilitating Federated Learning as a Service with Decentralized Identities. - Jiahui Geng; Neel Kanwal; Martin Gilje Jaatun; Chunming Rong (EASE, 2021)

Optimized Federated Learning on Class-Biased Distributed Data Sources. - Yongli Mou; Jiahui Geng; Sascha Welten; Chunming Rong; Stefan Decker; Oya Beyan (PKDD/ECML Workshops (1), 2021)

Towards General Deep Leakage in Federated Learning. - Jiahui Geng; Yongli Mou; Feifei Li; Qing Li 038; Oya Beyan; Stefan Decker; Chunming Rong (CoRR, 2021)

NFT as a proof of Digital Ownership-reward system integrated to a Secure Distributed Computing Blockchain Framework. - Asahi Cantu; Jiahui Geng; Chunming Rong (CloudCom, 2022)

Blockchain-based Cross-organizational Workflow Platform. - Jiahui Geng; Ali Akbar Rehman; Yongli Mou; Stefan Decker; Chunming Rong (CloudCom, 2022)

Managing Digital Objects with Decentralised Identifiers based on NFT-like schema. - Chunming Rong; Jiahui Geng; Martin Gilje Jaatun (CloudCom, 2022)

Blockchain Empowered and Self-sovereign Access Control System. - Hanif Tadjik; Jiahui Geng; Martin Gilje Jaatun; Chunming Rong (CloudCom, 2022)

An Image Region-Based Image Stitching Algorithm of Smartphones. - Xinwei Huo; Junqi Liu; Yusheng Liu; Jiahui Geng; Lei Zhang (ICAIT, 2022)

OpenIaC: open infrastructure as code - the network is my computer. - Chunming Rong; Jiahui Geng; Thomas J. Hacker; Haakon Bryhni; Martin Gilje Jaatun (J. Cloud Comput., 2022)

A Survey on Dataset Distillation: Approaches, Applications and Future Directions. - Jiahui Geng; Zongxiong Chen; Yuandou Wang; Herbert Woisetschlaeger; Sonja Schimmler; Ruben Mayer; Zhiming Zhao; Chunming Rong (IJCAI, 2023)

Solving Nonlinear Conservation Laws of Partial Differential Equations Using Graph Neural Networks. - Qing Li 038; Jiahui Geng; Steinar Evje; Chunming Rong (NLDL, 2023)

pFedV: Mitigating Feature Distribution Skewness via Personalized Federated Learning with Variational Distribution Constraints. - Yongli Mou; Jiahui Geng; Feng Zhou 011; Oya Beyan; Chunming Rong; Stefan Decker (PAKDD (2), 2023)

Learning Parameterized ODEs From Data. - Qing Li 038; Steinar Evje; Jiahui Geng (IEEE Access, 2023)

A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness. - Zongxiong Chen; Jiahui Geng; Derui Zhu; Herbert Woisetschlaeger; Qing Li 038; Sonja Schimmler; Ruben Mayer; Chunming Rong (CoRR, 2023)

A Survey of Language Model Confidence Estimation and Calibration. - Jiahui Geng; Fengyu Cai; Yuxia Wang; Heinz Koeppl; Preslav Nakov; Iryna Gurevych (CoRR, 2023)

Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output. - Yuxia Wang; Revanth Gangi Reddy; Zain Muhammad Mujahid; Arnav Arora; Aleksandr Rubashevskii; Jiahui Geng; Osama Mohammed Afzal; Liangming Pan; Nadav Borenstein; Aditya Pillai; Isabelle Augenstein; Iryna Gurevych; et al. (CoRR, 2023)

Reference-free Hallucination Detection for Large Vision-Language Models. - Qing Li 038; Jiahui Geng; Chenyang Lyu; Derui Zhu; Maxim Panov; Fakhri Karray (EMNLP (Findings), 2024)

Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers. - Yuxia Wang; Revanth Gangi Reddy; Zain Muhammad Mujahid; Arnav Arora; Aleksandr Rubashevskii; Jiahui Geng; Osama Mohammed Afzal; Liangming Pan; Nadav Borenstein; Aditya Pillai; Isabelle Augenstein; Iryna Gurevych; et al. (EMNLP (Findings), 2024)

Towards Trustworthy Dataset Distillation: A Benchmark of Privacy, Fairness and Robustness. - Zongxiong Chen; Jiahui Geng; Derui Zhu; Qing Li 038; Sonja Schimmler; Manfred Hauswirth (IJCNN, 2024)

A Survey of Confidence Estimation and Calibration in Large Language Models. - Jiahui Geng; Fengyu Cai; Yuxia Wang; Heinz Koeppl; Preslav Nakov; Iryna Gurevych (NAACL-HLT, 2024)

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark. - David Romero; Chenyang Lyu; Haryo Akbarianto Wibowo; Santiago Góngora; Aishik Mandal; Sukannya Purkayastha; Jesús-Germán Ortiz-Barajas; Emilio Villa-Cueva; Jinheon Baek; Soyeong Jeong; Injy Hamed; Zheng Xin Yong; et al. (NeurIPS, 2024)

PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques. - Derui Zhu; Dingfan Chen; Xiongfei Wu; Jiahui Geng; Zhuo Li; Jens Grossklags; Lei Ma 003 (NeurIPS, 2024)

Simultaneous state and fault estimation: A prescribed-time unknown input observer approach. - Jiahui Geng; Ning Xu 013; Xudong Zhao 001; Ze Tang 001; Jiancheng Zhang 001 (Appl. Math. Comput., 2024)

Multimodal Large Language Models to Support Real-World Fact-Checking. - Jiahui Geng; Yova Kementchedjhieva; Preslav Nakov; Iryna Gurevych (CoRR, 2024)

OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs. - Yuxia Wang; Minghan Wang; Hasan Iqbal; Georgi N. Georgiev; Jiahui Geng; Preslav Nakov (CoRR, 2024)

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark. - David Romero; Chenyang Lyu; Haryo Akbarianto Wibowo; Teresa Lynn; Injy Hamed; Aditya Nanda Kishore; Aishik Mandal; Alina Dragonetti; Artem Abzaliev; Atnafu Lambebo Tonja; Bontu Fufa Balcha; Chenxi Whitehouse; et al. (CoRR, 2024)

LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection. - Mervat Abassy; Kareem Ashraf Elozeiri; Alexander Aziz; Minh Ngoc Ta; Raj Vardhan Tomar; Bimarsha Adhikari; Saad El Dine Ahmed; Yuxia Wang; Osama Mohammed Afzal; Zhuohan Xie; Jonibek Mansurov; Ekaterina Artemova; et al. (CoRR, 2024)

OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs. - Hasan Iqbal; Yuxia Wang; Minghan Wang; Georgi N. Georgiev; Jiahui Geng; Iryna Gurevych; Preslav Nakov (CoRR, 2024)

Improved Gradient Inversion Attacks and Defenses in Federated Learning. - Jiahui Geng; Yongli Mou; Qing Li 038; Feifei Li; Oya Beyan; Stefan Decker; Chunming Rong (IEEE Trans. Big Data, 2024)

Internal Activation Revision: Safeguarding Vision Language Models Without Parameter Update. - Qing Li 038; Jiahui Geng; Derui Zhu; Zongxiong Chen; Kun Song; Lei Ma 003; Fakhri Karray (AAAI, 2025)

HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs. - Qing Li 038; Jiahui Geng; Zongxiong Chen; Derui Zhu; Yuxia Wang; Congbo Ma; Chenyang Lyu; Fakhri Karray (ACL (1), 2025)

Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models. - Lang Gao; Jiahui Geng; Xiangliang Zhang 001; Preslav Nakov; Xiuying Chen (ACL (1), 2025)

VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration. - Jiahui Geng; Qing Li 038; Zongxiong Chen; Yuxia Wang; Derui Zhu; Zhuohan Xie; Chenyang Lyu; Xiuying Chen; Preslav Nakov; Fakhri Karray (ACL (Findings), 2025)

mathsfCon Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities. - Jiahui Geng; Thy Thy Tran; Preslav Nakov; Iryna Gurevych (ACL (1), 2025)

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language. - Bo Zeng; Chenyang Lyu; Sinuo Liu; Mingyan Zeng; Minghao Wu; Xuanfan Ni; Tianqi Shi; Yu Zhao; Yefeng Liu; Chenyu Zhu; Ruizhe Li; Jiahui Geng; et al. (ACL (1), 2025)

GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human. - Yuxia Wang; Artem Shelmanov; Jonibek Mansurov; Akim Tsvigun; Vladislav Mikhailov; Rui Xing; Zhuohan Xie; Jiahui Geng; Giovanni Puccetti 002; Ekaterina Artemova; Jinyan Su; Minh Ngoc Ta; et al. (COLING Workshops, 2025)

OpenFactCheck: Building, Benchmarking Customized Fact-Checking Systems and Evaluating the Factuality of Claims and LLMs. - Yuxia Wang; Minghan Wang; Hasan Iqbal; Georgi N. Georgiev; Jiahui Geng; Iryna Gurevych; Preslav Nakov (COLING, 2025)

FIRE: Fact-checking with Iterative Retrieval and Verification. - Zhuohan Xie; Rui Xing; Yuxia Wang; Jiahui Geng; Hasan Iqbal; Dhruv Sahnan; Iryna Gurevych; Preslav Nakov (NAACL (Findings), 2025)

Development and validation of multimodal deep learning algorithms for detecting pulmonary hypertension. - Wei Zhao; Zhihua Huang; Xiaolin Diao; Zhan Yang; Zhihui Zhao; Yun Xia; Qing Zhao; Zhaohong Sun 005; Qunying Xi; Yanni Huo; Ou Xu; Jiahui Geng; et al. (npj Digit. Medicine, 2025)

Internal Activation Revision: Safeguarding Vision Language Models Without Parameter Update. - Qing Li 038; Jiahui Geng; Zongxiong Chen; Kun Song; Lei Ma 003; Fakhri Karray (CoRR, 2025)

Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI. - Yuxia Wang; Rui Xing; Jonibek Mansurov; Giovanni Puccetti 002; Zhuohan Xie; Minh Ngoc Ta; Jiahui Geng; Jinyan Su; Mervat Abassy; Saad El Dine Ahmed; Kareem Ashraf Elozeiri; Nurkhan Laiyk; et al. (CoRR, 2025)

A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models. - Jiahui Geng; Qing Li 038; Herbert Woisetschlaeger; Zongxiong Chen; Yuxia Wang; Preslav Nakov; Hans-Arno Jacobsen; Fakhri Karray (CoRR, 2025)

CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation. - Emilio Villa-Cueva; Sholpan Bolatzhanova; Diana Turmakhan; Kareem Elzeky; Henok Biadglign Ademtew; Alham Fikri Aji; Israel Abebe Azime; Jinheon Baek; Frederico Belcavello; Fermin Cristobal; Jan Christian Blaise Cruz; Mary Dabre; et al. (CoRR, 2025)

Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities. - Jiahui Geng; Thy Thy Tran; Preslav Nakov; Iryna Gurevych (CoRR, 2025)

CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval. - Jiahui Geng; Fengyu Cai; Shaobo Cui 006; Qing Li 038; Liangwei Chen; Chenyang Lyu; Haonan Li; Derui Zhu; Walter Pretschner; Heinz Koeppl; Fakhri Karray (CoRR, 2025)

Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models. - Bo Zeng; Chenyang Lyu; Sinuo Liu; Mingyan Zeng; Minghao Wu; Xuanfan Ni; Tianqi Shi; Yu Zhao; Yefeng Liu; Chenyu Zhu; Ruizhe Li; Jiahui Geng; et al. (CoRR, 2025)