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2020 – today
- 2023
[c6]Ivan Kobyzev, Aref Jafari, Mehdi Rezagholizadeh, Tianda Li, Alan Do-Omri, Peng Lu, Pascal Poupart, Ali Ghodsi:
Do we need Label Regularization to Fine-tune Pre-trained Language Models? EACL 2023: 166-177- [c5]Vithursan Thangarasa, Abhay Gupta, William Marshall, Tianda Li, Kevin Leong, Dennis DeCoste, Sean Lie, Shreyas Saxena:
SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models. UAI 2023: 2134-2146 - [i10]Vithursan Thangarasa, Abhay Gupta, William Marshall, Tianda Li, Kevin Leong, Dennis DeCoste, Sean Lie, Shreyas Saxena:
SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models. CoRR abs/2303.10464 (2023) - 2022
- [c4]Tianda Li, Jia-Chen Gu, Zhen-Hua Ling, Quan Liu:
Conversation- and Tree-Structure Losses for Dialogue Disentanglement. DialDoc@ACL 2022: 54-64 - [i9]Ivan Kobyzev, Aref Jafari, Mehdi Rezagholizadeh, Tianda Li, Alan Do-Omri, Peng Lu, Ali Ghodsi, Pascal Poupart:
Towards Understanding Label Regularization for Fine-tuning Pre-trained Language Models. CoRR abs/2205.12428 (2022) - 2021
- [j1]Jia-Chen Gu
, Tianda Li, Zhen-Hua Ling, Quan Liu, Zhiming Su, Yu-Ping Ruan, Xiaodan Zhu:
Deep Contextualized Utterance Representations for Response Selection and Dialogue Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2443-2455 (2021) - [c3]Tianda Li, Ahmad Rashid, Aref Jafari, Pranav Sharma, Ali Ghodsi, Mehdi Rezagholizadeh:
How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding. EMNLP (Findings) 2021: 750-762 - [c2]Tianda Li, Jia-Chen Gu, Hui Liu, Quan Liu, Zhen-Hua Ling, Zhiming Su, Xiaodan Zhu:
Have You Made a Decision? Where? A Pilot Study on Interpretability of Polarity Analysis Based on Advising Problem. ICASSP 2021: 6928-6932 - [i8]Xiaoyu Yang, Xiaodan Zhu, Zhan Shi, Tianda Li:
Unsupervised Pre-training with Structured Knowledge for Improving Natural Language Inference. CoRR abs/2109.03941 (2021) - [i7]Tianda Li, Ahmad Rashid, Aref Jafari, Pranav Sharma, Ali Ghodsi, Mehdi Rezagholizadeh:
How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding. CoRR abs/2109.05696 (2021) - [i6]Tianda Li, Yassir El Mesbahi, Ivan Kobyzev, Ahmad Rashid, Atif Mahmud, Nithin Anchuri, Habib Hajimolahoseini, Yang Liu, Mehdi Rezagholizadeh:
A Short Study on Compressing Decoder-Based Language Models. CoRR abs/2110.08460 (2021) - 2020
- [c1]Jia-Chen Gu, Tianda Li, Quan Liu, Zhen-Hua Ling, Zhiming Su, Si Wei, Xiaodan Zhu:
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots. CIKM 2020: 2041-2044 - [i5]Jia-Chen Gu, Tianda Li, Quan Liu, Xiaodan Zhu, Zhen-Hua Ling, Yu-Ping Ruan:
Pre-Trained and Attention-Based Neural Networks for Building Noetic Task-Oriented Dialogue Systems. CoRR abs/2004.01940 (2020) - [i4]Jia-Chen Gu, Tianda Li, Quan Liu, Xiaodan Zhu, Zhen-Hua Ling, Zhiming Su, Si Wei:
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots. CoRR abs/2004.03588 (2020) - [i3]Tianda Li, Jia-Chen Gu, Xiaodan Zhu, Quan Liu, Zhen-Hua Ling, Zhiming Su, Si Wei:
DialBERT: A Hierarchical Pre-Trained Model for Conversation Disentanglement. CoRR abs/2004.03760 (2020) - [i2]Chao-Hong Tan, Xiaoyu Yang, Zi'ou Zheng, Tianda Li, Yufei Feng, Jia-Chen Gu, Quan Liu, Dan Liu, Zhen-Hua Ling, Xiaodan Zhu:
Learning to Retrieve Entity-Aware Knowledge and Generate Responses with Copy Mechanism for Task-Oriented Dialogue Systems. CoRR abs/2012.11937 (2020)
2010 – 2019
- 2019
- [i1]Tianda Li, Xiaodan Zhu, Quan Liu, Qian Chen, Zhigang Chen, Si Wei:
Several Experiments on Investigating Pretraining and Knowledge-Enhanced Models for Natural Language Inference. CoRR abs/1904.12104 (2019)
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