Fung, Pascale

Survey of Hallucination in Natural Language Generation

Ji, Z., Lee, N., Frieske, R., Yu, T., Su, D., Xu, Y., Ishii, E., Bang, Y. J., Madotto, A., & Fung, P. (2023) · ACM Computing Surveys

Topic ModelingNatural Language Processing Techniques

Cited by 5,025

Survey of Hallucination in Natural Language Generation

Ji, Z., Lee, N., Frieske, R., Yu, T., Su, D., Xu, Y., Ishii, E., Bang, Y., Chen, D., Dai, W., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4,981

A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

Bang, Y., Cahyawijaya, S., Lee, N., Dai, W., Su, D., Wilie, B., Lovenia, H., Ji, Z., Yu, T., Chung, W., et al. (2023) · 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 (Volume 1: Long Papers)

Topic ModelingMultimodal Machine Learning Applications

Cited by 682

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 569

A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

Bang, Y., Cahyawijaya, S., Lee, N., Dai, W., Su, D., Wilie, B., Lovenia, H., Ji, Z., Yu, T., Chung, W., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 337

Reducing Gender Bias in Abusive Language Detection

Park, J. H., Shin, J., & Fung, P. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI

Cited by 323

Personalizing Dialogue Agents via Meta-Learning

Madotto, A., Lin, Z., Wu, C.-S., & Fung, P. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Speech and dialogue systemsIntelligent Tutoring Systems and Adaptive Learning

Cited by 183

A first look into a Convolutional Neural Network for speech emotion detection

Bertero, D., & Fung, P. (2017) · 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 117

Multimodal End-to-End Sparse Model for Emotion Recognition

Dai, W., Cahyawijaya, S., Liu, Z., & Fung, P. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 91

Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training

Xu, P., Madotto, A., Wu, C.-S., Park, J. H., & Fung, P. (2018) · Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 83

Factuality Enhanced Language Models for Open-Ended Text Generation

Lee, N., Ping, W., Xu, P., Patwary, M., Fung, P., Shoeybi, M., & Catanzaro, B. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 68

Model Generalization on COVID-19 Fake News Detection

Bang, Y., Ishii, E., Cahyawijaya, S., Ji, Z., & Fung, P. (2021) · Communications in Computer and Information Science

Misinformation and Its ImpactsSpam and Phishing Detection

Cited by 52

HalluLens: LLM Hallucination Benchmark

Bang, Y., Ji, Z., Schelten, A., Hartshorn, A., Fowler, T., Zhang, C., Cancedda, N., & Fung, P. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 41

RHO: Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding

Ji, Z., Liu, Z., Lee, N., Yu, T., Wilie, B., Zeng, M., & Fung, P. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Speech and dialogue systemsTopic Modeling

Cited by 37

Read before Generate! Faithful Long Form Question Answering with Machine Reading

Su, D., Li, X., Zhang, J., Shang, L., Jiang, X., Liu, Q., & Fung, P. (2022) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 37

Read before Generate! Faithful Long Form Question Answering with Machine Reading

Su, D., Li, X., Zhang, J., Shang, L., Jiang, X., Liu, Q., & Fung, P. (2022) · Findings of the Association for Computational Linguistics: ACL 2022

Topic ModelingInformation Retrieval and Search Behavior

Cited by 37

Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems

Madotto, A., Liu, Z., Lin, Z., & Fung, P. (2020) · arXiv

Speech and dialogue systemsDomain Adaptation and Few-Shot Learning

Cited by 36

Embodied AI Agents: Modeling the World

Fung, P., Bachrach, Y., Celikyilmaz, A., Chaudhuri, K., Chen, D., Chung, W., Dupoux, E., Gong, H., Jégou, H., Lazaric, A., et al. (2025) · arXiv

Social Robot Interaction and HRIAI-based Problem Solving and Planning

Cited by 29

Towards Mitigating Hallucination in Large Language Models via Self-Reflection

Ji, Z., Yu, T., Xu, Y., Lee, N., Ishii, E., & Fung, P. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 17

Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters

Xu, Y., Ishii, E., Cahyawijaya, S., Liu, Z., Winata, G. I., Madotto, A., Su, D., & Fung, P. (2021) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 17

International AI Safety Report

Bengio, Y., Mindermann, S., Privitera, D., Besiroglu, T., Bommasani, R., Casper, S., Choi, Y., Fox, P., Garfinkel, B., Goldfarb, D., et al. (2025) · arXiv

Ethics and Social Impacts of AISafety Systems Engineering in Autonomy

Cited by 16

Human-Agent Communication: Connecting Research and Development in HCI and AI

Liao, Q. V., Wang, Y.-C., Bickmore, T., Fung, P., Grudin, J., Yu, Z., & Zhou, M. (2019) · Companion Publication of the 2019 Conference on Computer Supported Cooperative Work and Social Computing

Social Robot Interaction and HRISpeech and dialogue systems

Cited by 14

MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models

Xu, P., Patwary, M., Shoeybi, M., Puri, R., Fung, P., Anandkumar, A., & Catanzaro, B. (2020) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 12

VScript: Controllable Script Generation with Visual Presentation

Ji, Z., Xu, Y., Cheng, I.-T., Cahyawijaya, S., Frieske, R., Ishii, E., Zeng, M., Madotto, A., & Fung, P. (2022) · arXiv

Artificial Intelligence in GamesSpeech and dialogue systems

Cited by 2