2 citations · 6 across the 10 of their papers we have counts for
10 papers
GRASP: Graph-Reasoning Aided Survey Planning for High-Fidelity Related Work Generation
Haoming Li, Jessica Ouyang
Writing a literature review requires a deep understanding of the relationships among cited papers: how they build on, challenge, or offer alternative perspectives to one another. W…
Multi-round, Chain-of-thought Post-editing for Unfaithful Summaries
Yi-Hui Lee, Xiangci Li, Jessica Ouyang
Recent large language models (LLMs) have demonstrated a remarkable ability to perform natural language understanding and generation tasks. In this work, we investigate the use of L…
How Does Knowledge Selection Help Retrieval Augmented Generation?
Xiangci Li, Jessica Ouyang
Retrieval-augmented generation (RAG) is a powerful method for enhancing natural language generation by integrating external knowledge into a model's output. While prior work has de…
Improving Citation Text Generation: Overcoming Limitations in Length Control
Biswadip Mandal, Xiangci Li, Jessica Ouyang
A key challenge in citation text generation is that the length of generated text often differs from the length of the target, lowering the quality of the generation. While prior wo…
Minimal Evidence Group Identification for Claim Verification
Xiangci Li, Sihao Chen, Rajvi Kapadia +2
Claim verification in real-world settings (e.g. against a large collection of candidate evidences retrieved from the web) typically requires identifying and aggregating a complete…
Related Work and Citation Text Generation: A Survey
Xiangci Li, Jessica Ouyang
To convince readers of the novelty of their research paper, authors must perform a literature review and compose a coherent story that connects and relates prior works to the curre…
A Knowledge Plug-and-Play Test Bed for Open-domain Dialogue Generation
Xiangci Li, Linfeng Song, Lifeng Jin +3
Knowledge-based, open-domain dialogue generation aims to build chit-chat systems that talk to humans using mined support knowledge. Many types and sources of knowledge have previou…
Contextualizing Generated Citation Texts
Biswadip Mandal, Xiangci Li, Jessica Ouyang
Abstractive citation text generation is usually framed as an infilling task, where a sequence-to-sequence model is trained to generate a citation given a reference paper and the co…
Explaining Relationships Among Research Papers
Xiangci Li, Jessica Ouyang
Due to the rapid pace of research publications, keeping up to date with all the latest related papers is very time-consuming, even with daily feed tools. There is a need for automa…
Cited Text Spans for Citation Text Generation
Xiangci Li, Yi-Hui Lee, Jessica Ouyang
An automatic citation generation system aims to concisely and accurately describe the relationship between two scientific articles. To do so, such a system must ground its outputs…