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Giuseppe Carenini
- > Home > Persons > Giuseppe Carenini
Publications
- 2023
- [c126]Raymond Li, Felipe González-Pizarro, Linzi Xing, Gabriel Murray, Giuseppe Carenini:
Diversity-Aware Coherence Loss for Improving Neural Topic Models. ACL (2) 2023: 1710-1722 - [c124]Raymond Li, Gabriel Murray, Giuseppe Carenini:
Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Models. EMNLP (Findings) 2023: 9456-9469 - [i40]Rindranirina Ramamonjison, Timothy T. L. Yu, Raymond Li, Haley Li, Giuseppe Carenini, Bissan Ghaddar, Shiqi He, Mahdi Mostajabdaveh, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang:
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions. CoRR abs/2303.08233 (2023) - [i38]Raymond Li, Felipe González-Pizarro, Linzi Xing, Gabriel Murray, Giuseppe Carenini:
Diversity-Aware Coherence Loss for Improving Neural Topic Models. CoRR abs/2305.16199 (2023) - [i37]Raymond Li, Gabriel Murray, Giuseppe Carenini:
Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Models. CoRR abs/2310.16240 (2023) - [i36]Raymond Li, Ruixin Yang, Wen Xiao, Ahmed AbuRa'ed, Gabriel Murray, Giuseppe Carenini:
Visual Analytics for Generative Transformer Models. CoRR abs/2311.12418 (2023) - 2022
- [c121]Raymond Li, Wen Xiao, Linzi Xing, Lanjun Wang, Gabriel Murray, Giuseppe Carenini:
Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation. EMNLP 2022: 10189-10204 - 2021
- [c112]Raymond Li, Wen Xiao, Lanjun Wang, Hyeju Jang, Giuseppe Carenini:
T3-Vis: visual analytic for Training and fine-Tuning Transformers in NLP. EMNLP (Demos) 2021: 220-230 - [c110]Rindranirina Ramamonjison, Timothy T. L. Yu, Raymond Li, Haley Li, Giuseppe Carenini, Bissan Ghaddar, Shiqi He, Mahdi Mostajabdaveh, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang:
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions. NeurIPS (Competition and Demos) 2021: 189-203 - [c108]Raymond Li, Enamul Hoque, Giuseppe Carenini, Richard Lester, Raymond Chau:
ConVIScope: Visual Analytics for Exploring Patient Conversations. IEEE VIS (Short Papers) 2021: 151-155 - [i20]Raymond Li, Enamul Hoque, Giuseppe Carenini, Richard Lester, Raymond Chau:
ConVIScope: Visual Analytics for Exploring Patient Conversations. CoRR abs/2108.13514 (2021) - [i19]Raymond Li, Wen Xiao, Lanjun Wang, Hyeju Jang, Giuseppe Carenini:
T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP. CoRR abs/2108.13587 (2021) - [i17]Raymond Li, Wen Xiao, Lanjun Wang, Giuseppe Carenini:
Human Interpretation and Exploitation of Self-attention Patterns in Transformers: A Case Study in Extractive Summarization. CoRR abs/2112.05364 (2021)
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