Several Experiments on Investigating Pretraining and Knowledge-Enhanced Models for Natural Language Inference. - Tianda Li; Xiaodan Zhu 001; Quan Liu 003; Qian Chen 003; Zhigang Chen 003; Si Wei (CoRR, 2019)

Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots. - Jia-Chen Gu; Tianda Li; Quan Liu 003; Zhen-Hua Ling; Zhiming Su; Si Wei; Xiaodan Zhu 001 (CIKM, 2020)

Pre-Trained and Attention-Based Neural Networks for Building Noetic Task-Oriented Dialogue Systems. - Jia-Chen Gu; Tianda Li; Quan Liu 003; Xiaodan Zhu 001; Zhen-Hua Ling; Yu-Ping Ruan (CoRR, 2020)

DialBERT: A Hierarchical Pre-Trained Model for Conversation Disentanglement. - Tianda Li; Jia-Chen Gu; Xiaodan Zhu 001; Quan Liu 003; Zhen-Hua Ling; Zhiming Su; Si Wei (CoRR, 2020)

Learning to Retrieve Entity-Aware Knowledge and Generate Responses with Copy Mechanism for Task-Oriented Dialogue Systems. - Chao-Hong Tan; Xiaoyu Yang 002; Zi'ou Zheng; Tianda Li; Yufei Feng; Jia-Chen Gu; Quan Liu 003; Dan Liu 008; Zhen-Hua Ling; Xiaodan Zhu 001 (CoRR, 2020)

How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding. - Tianda Li; Ahmad Rashid; Aref Jafari; Pranav Sharma; Ali Ghodsi 001; Mehdi Rezagholizadeh (EMNLP (Findings), 2021)

Have You Made a Decision? Where? A Pilot Study on Interpretability of Polarity Analysis Based on Advising Problem. - Tianda Li; Jia-Chen Gu; Hui Liu 033; Quan Liu 003; Zhen-Hua Ling; Zhiming Su; Xiaodan Zhu 001 (ICASSP, 2021)

Unsupervised Pre-training with Structured Knowledge for Improving Natural Language Inference. - Xiaoyu Yang 002; Xiaodan Zhu 001; Zhan Shi; Tianda Li (CoRR, 2021)

How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding. - Tianda Li; Ahmad Rashid; Aref Jafari; Pranav Sharma; Ali Ghodsi 001; Mehdi Rezagholizadeh (CoRR, 2021)

A Short Study on Compressing Decoder-Based Language Models. - Tianda Li; Yassir El Mesbahi; Ivan Kobyzev; Ahmad Rashid; Atif Mahmud; Nithin Anchuri; Habib Hajimolahoseini; Yang Liu; Mehdi Rezagholizadeh (CoRR, 2021)

Deep Contextualized Utterance Representations for Response Selection and Dialogue Analysis. - Jia-Chen Gu; Tianda Li; Zhen-Hua Ling; Quan Liu 003; Zhiming Su; Yu-Ping Ruan; Xiaodan Zhu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Conversation- and Tree-Structure Losses for Dialogue Disentanglement. - Tianda Li; Jia-Chen Gu; Zhen-Hua Ling; Quan Liu 003 (DialDoc@ACL, 2022)

Towards Understanding Label Regularization for Fine-tuning Pre-trained Language Models. - Ivan Kobyzev; Aref Jafari; Mehdi Rezagholizadeh; Tianda Li; Alan Do-Omri; Peng Lu; Ali Ghodsi 001; Pascal Poupart (CoRR, 2022)

Do we need Label Regularization to Fine-tune Pre-trained Language Models? - Ivan Kobyzev; Aref Jafari; Mehdi Rezagholizadeh; Tianda Li; Alan Do-Omri; Peng Lu; Pascal Poupart; Ali Ghodsi 001 (EACL, 2023)

SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models. - Vithursan Thangarasa; Abhay Gupta; William Marshall; Tianda Li; Kevin Leong; Dennis DeCoste; Sean Lie; Shreyas Saxena (UAI, 2023)