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ORCIDZiwei Ji
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2020 – today
- 2024
[c29]Ziwei Ji, Yuzhe Gu, Wenwei Zhang, Chengqi Lyu, Dahua Lin, Kai Chen:
ANAH: Analytical Annotation of Hallucinations in Large Language Models. ACL (1) 2024: 8135-8158- [c28]Sachin Goyal, Ziwei Ji, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar, Vaishnavh Nagarajan:
Think before you speak: Training Language Models With Pause Tokens. ICLR 2024 - [i37]Samuel Cahyawijaya, Delong Chen, Yejin Bang, Leila Khalatbari, Bryan Wilie, Ziwei Ji, Etsuko Ishii, Pascale Fung:
High-Dimension Human Value Representation in Large Language Models. CoRR abs/2404.07900 (2024) - [i36]Ziwei Ji, Yuzhe Gu, Wenwei Zhang, Chengqi Lyu, Dahua Lin, Kai Chen:
ANAH: Analytical Annotation of Hallucinations in Large Language Models. CoRR abs/2405.20315 (2024) - [i35]Ziwei Ji, Himanshu Jain, Andreas Veit, Sashank J. Reddi, Sadeep Jayasumana, Ankit Singh Rawat, Aditya Krishna Menon, Felix Yu, Sanjiv Kumar:
Efficient Document Ranking with Learnable Late Interactions. CoRR abs/2406.17968 (2024) - [i34]Ziwei Ji, Delong Chen, Etsuko Ishii, Samuel Cahyawijaya, Yejin Bang, Bryan Wilie, Pascale Fung:
LLM Internal States Reveal Hallucination Risk Faced With a Query. CoRR abs/2407.03282 (2024) - [i33]Yuzhe Gu, Ziwei Ji, Wenwei Zhang, Chengqi Lyu, Dahua Lin, Kai Chen:
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models. CoRR abs/2407.04693 (2024) - 2023
- [j1]Ziwei Ji
, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Yejin Bang, Andrea Madotto, Pascale Fung:
Survey of Hallucination in Natural Language Generation. ACM Comput. Surv. 55(12): 248:1-248:38 (2023) - [c27]Ziwei Ji, Zihan Liu, Nayeon Lee, Tiezheng Yu, Bryan Wilie, Min Zeng, Pascale Fung:
RHO: Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding. ACL (Findings) 2023: 4504-4522 - [c26]Samuel Cahyawijaya, Holy Lovenia, Alham Fikri Aji, Genta Indra Winata, Bryan Wilie, Fajri Koto, Rahmad Mahendra, Christian Wibisono, Ade Romadhony, Karissa Vincentio, Jennifer Santoso, David Moeljadi, Cahya Wirawan, Frederikus Hudi, Muhammad Satrio Wicaksono, Ivan Halim Parmonangan, Ika Alfina, Ilham Firdausi Putra, Samsul Rahmadani, Yulianti Oenang, Ali Akbar Septiandri, James Jaya, Kaustubh D. Dhole, Arie Ardiyanti Suryani, Rifki Afina Putri, Dan Su, Keith Stevens, Made Nindyatama Nityasya, Muhammad Farid Adilazuarda, Ryan Hadiwijaya, Ryandito Diandaru, Tiezheng Yu, Vito Ghifari, Wenliang Dai, Yan Xu, Dyah Damapuspita, Haryo Akbarianto Wibowo, Cuk Tho, Ichwanul Muslim Karo Karo, Tirana Fatyanosa, Ziwei Ji, Graham Neubig, Timothy Baldwin, Sebastian Ruder, Pascale Fung, Herry Sujaini, Sakriani Sakti, Ayu Purwarianti:
NusaCrowd: Open Source Initiative for Indonesian NLP Resources. ACL (Findings) 2023: 13745-13818 - [c25]Wenliang Dai, Zihan Liu, Ziwei Ji, Dan Su, Pascale Fung:
Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training. EACL 2023: 2128-2140 - [c24]Ziwei Ji, Tiezheng Yu, Yan Xu, Nayeon Lee, Etsuko Ishii, Pascale Fung:
Towards Mitigating LLM Hallucination via Self Reflection. EMNLP (Findings) 2023: 1827-1843 - [c23]Etsuko Ishii, Yan Xu, Bryan Wilie, Ziwei Ji, Holy Lovenia, Willy Chung, Pascale Fung:
Contrastive Learning for Inference in Dialogue. EMNLP 2023: 10202-10221 - [c22]Yan Xu, Deqian Kong, Dehong Xu, Ziwei Ji, Bo Pang, Pascale Fung, Ying Nian Wu:
Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference. ICML 2023: 38518-38534 - [c21]Tiezheng Yu, Ziwei Ji, Pascale Fung:
Improving Query-Focused Meeting Summarization with Query-Relevant Knowledge. IJCNLP (Findings) 2023: 48-54 - [c20]Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, Wenliang Dai, Dan Su, Bryan Wilie, Holy Lovenia, Ziwei Ji, Tiezheng Yu, Willy Chung, Quyet V. Do, Yan Xu, Pascale Fung:
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity. IJCNLP (1) 2023: 675-718 - [i32]Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, Wenliang Dai, Dan Su, Bryan Wilie, Holy Lovenia, Ziwei Ji, Tiezheng Yu, Willy Chung, Quyet V. Do, Yan Xu, Pascale Fung:
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity. CoRR abs/2302.04023 (2023) - [i31]Samy Jelassi, Boris Hanin, Ziwei Ji, Sashank J. Reddi, Srinadh Bhojanapalli, Sanjiv Kumar:
Depth Dependence of μP Learning Rates in ReLU MLPs. CoRR abs/2305.07810 (2023) - [i30]Yan Xu, Deqian Kong, Dehong Xu, Ziwei Ji, Bo Pang, Pascale Fung, Ying Nian Wu:
Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference. CoRR abs/2306.01153 (2023) - [i29]Tiezheng Yu, Ziwei Ji, Pascale Fung:
Improving Query-Focused Meeting Summarization with Query-Relevant Knowledge. CoRR abs/2309.02105 (2023) - [i28]Sachin Goyal, Ziwei Ji, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar, Vaishnavh Nagarajan:
Think before you speak: Training Language Models With Pause Tokens. CoRR abs/2310.02226 (2023) - [i27]Holy Lovenia, Wenliang Dai, Samuel Cahyawijaya, Ziwei Ji, Pascale Fung:
Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models. CoRR abs/2310.05338 (2023) - [i26]Ziwei Ji, Tiezheng Yu, Yan Xu, Nayeon Lee, Etsuko Ishii, Pascale Fung:
Towards Mitigating Hallucination in Large Language Models via Self-Reflection. CoRR abs/2310.06271 (2023) - [i25]Etsuko Ishii, Yan Xu, Bryan Wilie, Ziwei Ji, Holy Lovenia, Willy Chung, Pascale Fung:
Contrastive Learning for Inference in Dialogue. CoRR abs/2310.12467 (2023) - 2022
- [c19]Yuzheng Hu, Ziwei Ji, Matus Telgarsky:
Actor-critic is implicitly biased towards high entropy optimal policies. ICLR 2022 - [c18]Ziwei Ji, Kwangjun Ahn, Pranjal Awasthi, Satyen Kale, Stefani Karp:
Agnostic Learnability of Halfspaces via Logistic Loss. ICML 2022: 10068-10103 - [c17]Ziwei Ji, Yan Xu, I-Tsun Cheng, Samuel Cahyawijaya, Rita Frieske, Etsuko Ishii, Min Zeng, Andrea Madotto, Pascale Fung:
VScript: Controllable Script Generation with Visual Presentation. AACL/IJCNLP (System Demonstrations) 2022: 1-8 - [c16]Kwangjun Ahn, Prateek Jain, Ziwei Ji, Satyen Kale, Praneeth Netrapalli, Gil I. Shamir:
Reproducibility in Optimization: Theoretical Framework and Limits. NeurIPS 2022 - [i24]Ziwei Ji, Kwangjun Ahn, Pranjal Awasthi, Satyen Kale, Stefani Karp:
Agnostic Learnability of Halfspaces via Logistic Loss. CoRR abs/2201.13419 (2022) - [i23]Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Yejin Bang, Andrea Madotto, Pascale Fung:
Survey of Hallucination in Natural Language Generation. CoRR abs/2202.03629 (2022) - [i22]Kwangjun Ahn, Prateek Jain, Ziwei Ji, Satyen Kale, Praneeth Netrapalli, Gil I. Shamir:
Reproducibility in Optimization: Theoretical Framework and Limits. CoRR abs/2202.04598 (2022) - [i21]Ziwei Ji, Yan Xu, I-Tsun Cheng, Samuel Cahyawijaya, Rita Frieske, Etsuko Ishii, Min Zeng, Andrea Madotto, Pascale Fung:
VScript: Controllable Script Generation with Audio-Visual Presentation. CoRR abs/2203.00314 (2022) - [i20]Miroslav Dudík, Ziwei Ji, Robert E. Schapire, Matus Telgarsky:
Convex Analysis at Infinity: An Introduction to Astral Space. CoRR abs/2205.03260 (2022) - [i19]Wenliang Dai, Zihan Liu, Ziwei Ji, Dan Su, Pascale Fung:
Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training. CoRR abs/2210.07688 (2022) - [i18]Ziwei Ji, Zihan Liu, Nayeon Lee, Tiezheng Yu, Bryan Wilie, Min Zeng, Pascale Fung:
RHO ($ρ$): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding. CoRR abs/2212.01588 (2022) - [i17]Samuel Cahyawijaya, Holy Lovenia, Alham Fikri Aji, Genta Indra Winata, Bryan Wilie, Rahmad Mahendra, Christian Wibisono, Ade Romadhony, Karissa Vincentio, Fajri Koto, Jennifer Santoso, David Moeljadi, Cahya Wirawan, Frederikus Hudi, Ivan Halim Parmonangan, Ika Alfina, Muhammad Satrio Wicaksono, Ilham Firdausi Putra, Samsul Rahmadani, Yulianti Oenang, Ali Akbar Septiandri, James Jaya, Kaustubh D. Dhole, Arie Ardiyanti Suryani, Rifki Afina Putri, Dan Su, Keith Stevens, Made Nindyatama Nityasya, Muhammad Farid Adilazuarda, Ryan Ignatius, Ryandito Diandaru, Tiezheng Yu, Vito Ghifari, Wenliang Dai, Yan Xu, Dyah Damapuspita, Cuk Tho, Ichwanul Muslim Karo Karo, Tirana Noor Fatyanosa, Ziwei Ji, Pascale Fung, Graham Neubig, Timothy Baldwin, Sebastian Ruder, Herry Sujaini, Sakriani Sakti, Ayu Purwarianti:
NusaCrowd: Open Source Initiative for Indonesian NLP Resources. CoRR abs/2212.09648 (2022) - 2021
- [c15]Yejin Bang, Etsuko Ishii, Samuel Cahyawijaya, Ziwei Ji, Pascale Fung:
Model Generalization on COVID-19 Fake News Detection. CONSTRAINT@AAAI 2021: 128-140 - [c14]Zihan Liu, Yan Xu, Tiezheng Yu, Wenliang Dai, Ziwei Ji, Samuel Cahyawijaya, Andrea Madotto, Pascale Fung:
CrossNER: Evaluating Cross-Domain Named Entity Recognition. AAAI 2021: 13452-13460 - [c13]Ziwei Ji, Matus Telgarsky:
Characterizing the implicit bias via a primal-dual analysis. ALT 2021: 772-804 - [c12]Daniel Hsu, Ziwei Ji, Matus Telgarsky, Lan Wang:
Generalization bounds via distillation. ICLR 2021 - [c11]Ziwei Ji, Nathan Srebro, Matus Telgarsky:
Fast margin maximization via dual acceleration. ICML 2021: 4860-4869 - [c10]Ziwei Ji, Justin D. Li, Matus Telgarsky:
Early-stopped neural networks are consistent. NeurIPS 2021: 1805-1817 - [i16]Yejin Bang, Etsuko Ishii, Samuel Cahyawijaya, Ziwei Ji, Pascale Fung:
Model Generalization on COVID-19 Fake News Detection. CoRR abs/2101.03841 (2021) - [i15]Daniel Hsu, Ziwei Ji, Matus Telgarsky, Lan Wang:
Generalization bounds via distillation. CoRR abs/2104.05641 (2021) - [i14]Ziwei Ji, Justin D. Li, Matus Telgarsky:
Early-stopped neural networks are consistent. CoRR abs/2106.05932 (2021) - [i13]Ziwei Ji, Nathan Srebro, Matus Telgarsky:
Fast Margin Maximization via Dual Acceleration. CoRR abs/2107.00595 (2021) - [i12]Yuzheng Hu, Ziwei Ji, Matus Telgarsky:
Actor-critic is implicitly biased towards high entropy optimal policies. CoRR abs/2110.11280 (2021) - 2020
- [c9]Ziwei Ji, Miroslav Dudík, Robert E. Schapire, Matus Telgarsky:
Gradient descent follows the regularization path for general losses. COLT 2020: 2109-2136 - [c8]Dan Su, Yan Xu, Wenliang Dai, Ziwei Ji, Tiezheng Yu, Pascale Fung:
Multi-hop Question Generation with Graph Convolutional Network. EMNLP (Findings) 2020: 4636-4647 - [c7]Ziwei Ji, Matus Telgarsky:
Polylogarithmic width suffices for gradient descent to achieve arbitrarily small test error with shallow ReLU networks. ICLR 2020 - [c6]Ziwei Ji, Matus Telgarsky, Ruicheng Xian:
Neural tangent kernels, transportation mappings, and universal approximation. ICLR 2020 - [c5]Ziwei Ji, Matus Telgarsky:
Directional convergence and alignment in deep learning. NeurIPS 2020 - [i11]Ziwei Ji, Matus Telgarsky:
Directional convergence and alignment in deep learning. CoRR abs/2006.06657 (2020) - [i10]Ziwei Ji, Miroslav Dudík, Robert E. Schapire, Matus Telgarsky:
Gradient descent follows the regularization path for general losses. CoRR abs/2006.11226 (2020) - [i9]Dan Su, Yan Xu, Wenliang Dai, Ziwei Ji, Tiezheng Yu, Pascale Fung:
Multi-hop Question Generation with Graph Convolutional Network. CoRR abs/2010.09240 (2020) - [i8]Zihan Liu, Yan Xu, Tiezheng Yu, Wenliang Dai, Ziwei Ji, Samuel Cahyawijaya, Andrea Madotto, Pascale Fung:
CrossNER: Evaluating Cross-Domain Named Entity Recognition. CoRR abs/2012.04373 (2020)
2010 – 2019
- 2019
- [c4]Ziwei Ji, Matus Telgarsky:
The implicit bias of gradient descent on nonseparable data. COLT 2019: 1772-1798 - [c3]Ziwei Ji, Matus Telgarsky:
Gradient descent aligns the layers of deep linear networks. ICLR (Poster) 2019 - [i7]Ziwei Ji, Matus Telgarsky:
A refined primal-dual analysis of the implicit bias. CoRR abs/1906.04540 (2019) - [i6]Ziwei Ji, Matus Telgarsky:
Polylogarithmic width suffices for gradient descent to achieve arbitrarily small test error with shallow ReLU networks. CoRR abs/1909.12292 (2019) - [i5]Ziwei Ji, Matus Telgarsky, Ruicheng Xian:
Neural tangent kernels, transportation mappings, and universal approximation. CoRR abs/1910.06956 (2019) - 2018
- [c2]Ziwei Ji, Ruta Mehta, Matus Telgarsky:
Social Welfare and Profit Maximization from Revealed Preferences. WINE 2018: 264-281 - [i4]Ziwei Ji, Matus Telgarsky:
Risk and parameter convergence of logistic regression. CoRR abs/1803.07300 (2018) - [i3]Ziwei Ji, Matus Telgarsky:
Gradient descent aligns the layers of deep linear networks. CoRR abs/1810.02032 (2018) - 2017
- [i2]Ziwei Ji, Ruta Mehta, Matus Telgarsky:
Social Welfare and Profit Maximization from Revealed Preferences. CoRR abs/1711.02211 (2017) - [i1]Qi Zhu, Hongwei Ng, Liyuan Liu, Ziwei Ji, Bingjie Jiang, Jiaming Shen, Huan Gui:
Wikidata Vandalism Detection - The Loganberry Vandalism Detector at WSDM Cup 2017. CoRR abs/1712.06922 (2017) - 2016
- [c1]Yu Chen, Xiaotie Deng, Ziwei Ji, Chao Liao:
The Beachcombers' Problem: Walking and Searching from an Inner Point of a Line. LATA 2016: 270-282
Coauthor Index
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last updated on 2024-10-07 22:21 CEST by the dblp team
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