2 citations · 8 across the 11 of their papers we have counts for
11 papers
Generating Storytelling Images with Rich Chains-of-Reasoning
Xiujie Song, Qi Jia, Shota Watanabe +4
A single image can convey a compelling story through logically connected visual clues, forming Chains-of-Reasoning (CoRs). We define these semantically rich images as Storytelling…
Context Compression for Auto-regressive Transformers with Sentinel Tokens
Siyu Ren, Qi Jia, Kenny Q. Zhu
The quadratic complexity of the attention module makes it gradually become the bulk of compute in Transformer-based LLMs during generation. Moreover, the excessive key-value cache…
Zero-shot Faithfulness Evaluation for Text Summarization with Foundation Language Model
Qi Jia, Siyu Ren, Yizhu Liu +1
Despite tremendous improvements in natural language generation, summarization models still suffer from the unfaithfulness issue. Previous work evaluates faithfulness either using m…
Reducing Sensitivity on Speaker Names for Text Generation from Dialogues
Qi Jia, Haifeng Tang, Kenny Q. Zhu
Changing speaker names consistently throughout a dialogue should not affect its meaning and corresponding outputs for text generation from dialogues. However, pre-trained language…
Deep Learning for Video-Text Retrieval: a Review
Cunjuan Zhu, Qi Jia, Wei Chen +2
Video-Text Retrieval (VTR) aims to search for the most relevant video related to the semantics in a given sentence, and vice versa. In general, this retrieval task is composed of f…
In-sample Curriculum Learning by Sequence Completion for Natural Language Generation
Qi Jia, Yizhu Liu, Haifeng Tang +1
Curriculum learning has shown promising improvements in multiple domains by training machine learning models from easy samples to hard ones. Previous works which either design rule…
Taxonomy of Abstractive Dialogue Summarization: Scenarios, Approaches and Future Directions
Qi Jia, Yizhu Liu, Siyu Ren +1
Abstractive dialogue summarization is to generate a concise and fluent summary covering the salient information in a dialogue among two or more interlocutors. It has attracted grea…
Post-Training Dialogue Summarization using Pseudo-Paraphrasing
Qi Jia, Yizhu Liu, Haifeng Tang +1
Previous dialogue summarization techniques adapt large language models pretrained on the narrative text by injecting dialogue-specific features into the models. These features eith…
DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic Dialogues
Qi Jia, Hongru Huang, Kenny Q. Zhu
Interpersonal language style shifting in dialogues is an interesting and almost instinctive ability of human. Understanding interpersonal relationship from language content is also…
Multi-turn Response Selection using Dialogue Dependency Relations
Qi Jia, Yizhu Liu, Siyu Ren +2
Multi-turn response selection is a task designed for developing dialogue agents. The performance on this task has a remarkable improvement with pre-trained language models. However…
Matching Questions and Answers in Dialogues from Online Forums
Qi Jia, Mengxue Zhang, Shengyao Zhang +1
Matching question-answer relations between two turns in conversations is not only the first step in analyzing dialogue structures, but also valuable for training dialogue systems.…