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Published in Applied Physics Letters, 2017
Recommended citation: Huang, Z., Zhang, Y., Hayashida, T., Ji, Z., He, Y., Tsutsui, M., Miao, X.S. and Taniguchi, M., 2017. The impact of membrane surface charges on the ion transport in MoS2 nanopore power generators. Applied Physics Letters, 111(26), p.263104. https://aip.scitation.org/doi/pdf/10.1063/1.5003695
Published in Nanotechnology, 2018
Recommended citation: Ji, Z., Huang, Z., Chen, B., He, Y., Tsutsui, M. and Miao, X., 2018. Impact of ionization equilibrium on electrokinetic flow of weak electrolytes in nanochannels. Nanotechnology, 29(29), p.295402. https://iopscience.iop.org/article/10.1088/1361-6528/aac126/pdf
Published in EMNLP Findings, 2020
Recommended citation: Su D, Xu Y, Dai W, et al. Multi-hop Question Generation with Graph Convolutional Network[J]. arXiv preprint arXiv:2010.09240, 2020. https://arxiv.org/pdf/2010.09240.pdf
Published in ACL CONSTRAINT, 2021
AAAI Constraint
Recommended citation: Bang Y, Ishii E, Cahyawijaya S, Ji Z, Fung P. Model Generalization on COVID-19 Fake News Detection. arXiv preprint arXiv:2101.03841. 2021 Jan. https://arxiv.org/pdf/2101.03841.pdf
Published in AAAI, 2021
Recommended citation: Liu, Zihan, et al. "CrossNER: Evaluating Cross-Domain Named Entity Recognition." arXiv preprint arXiv:2012.04373 (2020). https://arxiv.org/abs/2012.04373
Published in ACM Computing Surveys, 2022
Recommended citation: Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Yejin Bang, Andrea Madotto, and Pascale Fung. 2022. Survey of Hallucination in Natural Language Generation. ACM Comput. Surv. Just Accepted (November 2022). https://doi.org/10.1145/3571730 https://dl.acm.org/doi/abs/10.1145/3571730
Published in AACL Demo, 2022
Recommended citation: Ji Z, Xu Y, Cheng I, Cahyawijaya S, Frieske R, Ishii E, Zeng M, Madotto A, Fung P. VScript: Controllable Script Generation with Audio-Visual Presentation. arXiv preprint arXiv:2203.00314. 2022 Mar 1. https://arxiv.org/abs/2203.00314
Published in EACL, 2022
Recommended citation: Dai W, Liu Z, Ji Z, Su D, Fung P. Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training. arXiv preprint arXiv:2210.07688. 2022 Oct 14. https://arxiv.org/abs/2210.07688
Published in ACL 2023 Findings, 2022
Recommended citation: Ji, Z., Liu, Z., Lee, N., Yu, T., Wilie, B., Zeng, M., & Fung, P. (2022). RHO ($\rho $): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding. arXiv preprint arXiv:2212.01588. https://arxiv.org/abs/2212.01588
Published in , 2022
Recommended citation: Cahyawijaya S, Lovenia H, Aji AF, Winata GI, Wilie B, Mahendra R, Wibisono C, Romadhony A, Vincentio K, Koto F, Santoso J. NusaCrowd: Open Source Initiative for Indonesian NLP Resources. arXiv preprint arXiv:2212.09648. 2022 Dec 19. https://arxiv.org/abs/2212.09648
Published in , 2023
Recommended citation: Bang Y, Cahyawijaya S, Lee N, Dai W, Su D, Wilie B, Lovenia H, Ji Z, Yu T, Chung W, Do QV. A multitask, multilingual, multimodal evaluation of chatgpt on reasoning, hallucination, and interactivity. arXiv preprint arXiv:2302.04023. 2023 Feb 8. https://arxiv.org/abs/2302.04023
Published in ICML 2023, 2023
Recommended citation: Xu, Y., Kong, D., Xu, D., Ji, Z., Pang, B., Fung, P. & Wu, Y.N.. (2023). Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference. ICML 2023 https://proceedings.mlr.press/v202/xu23j.html
Published in EMNLP 2023 Findings, 2023
Recommended citation: Ji Z, Yu T, Xu Y, Lee N, Ishii E, Fung P. Towards Mitigating Hallucination in Large Language Models via Self-Reflection. arXiv preprint arXiv:2310.06271. 2023 Oct 10. https://arxiv.org/abs/2310.06271
Published in EMNLP 2023, 2023
Recommended citation: Ishii, E., Xu, Y., Wilie, B., Ji, Z., Lovenia, H., Chung, W., & Fung, P. (2023). Contrastive Learning for Inference in Dialogue. EMNLP 2023 https://arxiv.org/abs/2310.12467
Published in ACL ALVR 2024, 2024
Recommended citation: Lovenia, H., Dai, W., Cahyawijaya, S., Ji, Z., & Fung, P. (2024). Negative object presence evaluation (nope) to measure object hallucination in vision-language models. ACL ALVR 2024 https://arxiv.org/abs/2310.05338
Published in ACL 2024, 2024
Recommended citation: Ji, Z., Gu, Y., Zhang, W., Lyu, C., Lin, D., & Chen, K. (2024). ANAH: Analytical Annotation of Hallucinations in Large Language Models. ACL 2024 https://arxiv.org/abs/2405.20315
Published in ACL 2024, 2024
Recommended citation: Ji, Z., Gu, Y., Zhang, W., Lyu, C., Lin, D., & Chen, K. (2024). ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models https://arxiv.org/abs/2407.04693
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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