6 citations · 13 across the 11 of their papers we have counts for
6 papers · 1 filter
Large Language Models to Diffusion Finetuning
Edoardo Cetin, Tianyu Zhao, Yujin Tang
We propose a new finetuning method to provide pre-trained large language models (LMs) the ability to scale test-time compute through the diffusion framework. By increasing the numb…
Enhancing Personality Recognition in Dialogue by Data Augmentation and Heterogeneous Conversational Graph Networks
Yahui Fu, Haiyue Song, Tianyu Zhao +1
Personality recognition is useful for enhancing robots' ability to tailor user-adaptive responses, thus fostering rich human-robot interactions. One of the challenges in this task…
Focused Prefix Tuning for Controllable Text Generation
Congda Ma, Tianyu Zhao, Makoto Shing +2
In a controllable text generation dataset, there exist unannotated attributes that could provide irrelevant learning signals to models that use it for training and thus degrade the…
Multi-Referenced Training for Dialogue Response Generation
Tianyu Zhao, Tatsuya Kawahara
In open-domain dialogue response generation, a dialogue context can be continued with diverse responses, and the dialogue models should capture such one-to-many relations. In this…
Designing Precise and Robust Dialogue Response Evaluators
Tianyu Zhao, Divesh Lala, Tatsuya Kawahara
Automatic dialogue response evaluator has been proposed as an alternative to automated metrics and human evaluation. However, existing automatic evaluators achieve only moderate co…
Content Word-based Sentence Decoding and Evaluating for Open-domain Neural Response Generation
Tianyu Zhao, Shinsuke Mori, Tatsuya Kawahara
Various encoder-decoder models have been applied to response generation in open-domain dialogs, but a majority of conventional models directly learn a mapping from lexical input to…