30 citations · 61 across the 20 of their papers we have counts for
22 papers
AECP: Artifact-Exclusive Communication Protocol for Multi-Agent Code Generation
Jiaqi Xue, Yanjun Wang, Xiangci Li +5
As AI agents increasingly tackle complex repository-level coding tasks, distributing work across multiple agents is a natural way to scale beyond the capabilities of a single agent…
CodeScout: Contextual Problem Statement Enhancement for Software Agents
Manan Suri, Xiangci Li, Mehdi Shojaie +5
Current AI-powered code assistance tools often struggle with poorly-defined problem statements that lack sufficient task context and requirements specification. Recent analysis of…
Wizard of Shopping: Target-Oriented E-commerce Dialogue Generation with Decision Tree Branching
Xiangci Li, Zhiyu Chen, Jason Ingyu Choi +4
The goal of conversational product search (CPS) is to develop an intelligent, chat-based shopping assistant that can directly interact with customers to understand shopping intents…
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…
Graph Self-Contrast Representation Learning
Minjie Chen, Yao Cheng, Ye Wang +2
Graph contrastive learning (GCL) has recently emerged as a promising approach for graph representation learning. Some existing methods adopt the 1-vs-K scheme to construct one posi…
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…
MUSE: Multi-View Contrastive Learning for Heterophilic Graphs
Mengyi Yuan, Minjie Chen, Xiang Li
In recent years, self-supervised learning has emerged as a promising approach in addressing the issues of label dependency and poor generalization performance in traditional GNNs.…
Construction of PAC Codes with List-Search and Path-Splitting Critical Sets
Shirong Jiang, Jiahao Wang, Chunfang Xia +1
Polarization-adjusted convolutional (PAC) codes can approach the theoretical bound for block error rate (BLER) performance at short-to-medium codeword length. PAC codes have excell…
Learning a General Clause-to-Clause Relationships for Enhancing Emotion-Cause Pair Extraction
Hang Chen, Xinyu Yang, Xiang Li
Emotion-cause pair extraction (ECPE) is an emerging task aiming to extract potential pairs of emotions and corresponding causes from documents. Previous approaches have focused on…
CORWA: A Citation-Oriented Related Work Annotation Dataset
Xiangci Li, Biswadip Mandal, Jessica Ouyang
Academic research is an exploratory activity to discover new solutions to problems. By this nature, academic research works perform literature reviews to distinguish their noveltie…
Automatic Related Work Generation: A Meta Study
Xiangci Li, Jessica Ouyang
Academic research is an exploration activity to solve problems that have never been resolved before. By this nature, each academic research work is required to perform a literature…
CASPR: A Commonsense Reasoning-based Conversational Socialbot
Kinjal Basu, Huaduo Wang, Nancy Dominguez +4
We report on the design and development of the CASPR system, a socialbot designed to compete in the Amazon Alexa Socialbot Challenge 4. CASPR's distinguishing characteristic is tha…
A Paragraph-level Multi-task Learning Model for Scientific Fact-Verification
Xiangci Li, Gully Burns, Nanyun Peng
Even for domain experts, it is a non-trivial task to verify a scientific claim by providing supporting or refuting evidence rationales. The situation worsens as misinformation is p…
Context-aware Stand-alone Neural Spelling Correction
Xiangci Li, Hairong Liu, Liang Huang
Existing natural language processing systems are vulnerable to noisy inputs resulting from misspellings. On the contrary, humans can easily infer the corresponding correct words fr…
Scientific Discourse Tagging for Evidence Extraction
Xiangci Li, Gully Burns, Nanyun Peng
Evidence plays a crucial role in any biomedical research narrative, providing justification for some claims and refutation for others. We seek to build models of scientific argumen…