Ziwei Ji

Orcid: 0000-0002-0206-7861

Affiliations:
  • Hong Kong University of Science and Technology, Center for Artificial Intelligence Research (CAiRE), Hong Kong


According to our database1, Ziwei Ji authored at least 26 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning.
CoRR, June, 2025

Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations.
CoRR, March, 2025

Delusions of Large Language Models.
CoRR, March, 2025

High-Dimension Human Value Representation in Large Language Models.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

HalluLens: LLM Hallucination Benchmark.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
LLM Internal States Reveal Hallucination Risk Faced With a Query.
CoRR, 2024

ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ANAH: Analytical Annotation of Hallucinations in Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Survey of Hallucination in Natural Language Generation.
ACM Comput. Surv., December, 2023

Towards Mitigating Hallucination in Large Language Models via Self-Reflection.
CoRR, 2023

Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models.
CoRR, 2023

Improving Query-Focused Meeting Summarization with Query-Relevant Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference.
Proceedings of the International Conference on Machine Learning, 2023

Towards Mitigating LLM Hallucination via Self Reflection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Contrastive Learning for Inference in Dialogue.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

RHO: Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023


2022
NusaCrowd: Open Source Initiative for Indonesian NLP Resources.
CoRR, 2022

RHO ($ρ$): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding.
CoRR, 2022

VScript: Controllable Script Generation with Audio-Visual Presentation.
CoRR, 2022

VScript: Controllable Script Generation with Visual Presentation.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

2021
CrossNER: Evaluating Cross-Domain Named Entity Recognition.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Model Generalization on COVID-19 Fake News Detection.
Proceedings of the Combating Online Hostile Posts in Regional Languages during Emergency Situation, 2021

2020
Multi-hop Question Generation with Graph Convolutional Network.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020


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