9 citations · 54 across the 33 of their papers we have counts for
9 papers · 1 filter
Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents
Yi Yu, Liuyi Yao, Yuexiang Xie +4
Large language model (LLM) agents face fundamental limitations in long-horizon reasoning due to finite context windows, making effective memory management critical. Existing method…
Knowledge Graph-Guided Retrieval Augmented Generation
Xiangrong Zhu, Yuexiang Xie, Yi Liu +2
Retrieval-augmented generation (RAG) has emerged as a promising technology for addressing hallucination issues in the responses generated by large language models (LLMs). Existing…
Tunable Soft Prompts are Messengers in Federated Learning
Chenhe Dong, Yuexiang Xie, Bolin Ding +2
Federated learning (FL) enables multiple participants to collaboratively train machine learning models using decentralized data sources, alleviating privacy concerns that arise fro…
Counterfactual Debiasing for Generating Factually Consistent Text Summaries
Chenhe Dong, Yuexiang Xie, Yaliang Li +1
Despite substantial progress in abstractive text summarization to generate fluent and informative texts, the factual inconsistency in the generated summaries remains an important y…
Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning
Chenhe Dong, Yuexiang Xie, Bolin Ding +2
The increasing privacy concerns on personal private text data promote the development of federated learning (FL) in recent years. However, the existing studies on applying FL in NL…
Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation
Yuexiang Xie, Fei Sun, Yang Deng +2
Despite significant progress has been achieved in text summarization, factual inconsistency in generated summaries still severely limits its practical applications. Among the key f…
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge
Yang Deng, Yuexiang Xie, Yaliang Li +3
Answer selection, which is involved in many natural language processing applications such as dialog systems and question answering (QA), is an important yet challenging task in pra…
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering
Yang Deng, Wai Lam, Yuexiang Xie +4
Community question answering (CQA) gains increasing popularity in both academy and industry recently. However, the redundancy and lengthiness issues of crowdsourced answers limit t…
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering
Yang Deng, Yuexiang Xie, Yaliang Li +5
Answer selection and knowledge base question answering (KBQA) are two important tasks of question answering (QA) systems. Existing methods solve these two tasks separately, which r…