17 citations · 22 across the 12 of their papers we have counts for
13 papers
ISCSLP 2026 CoT-TTS Challenge: Chain-of-Thought Reasoning for Context-Aware Text-to-Speech
Wei Xue, Junlan Feng, Shilei Zhang +9
Recent advances in text-to-speech (TTS) have greatly improved speech naturalness, speaker similarity, and controllability. However, most existing controllable TTS systems still rel…
FOCAL: Filtered On-device Continuous Activity Logging for Efficient Personal Desktop Summarization
Haoran Yin, Zhiyuan Wen, Jiannong Cao +2
Desktop interaction streams provide a continuous, privacy-sensitive record of interleaved user tasks. Transforming these streams into task-organized personal logs on-device faces t…
SurveyLens: A Discipline-Aware Benchmark for Automatic Survey Generation
Beichen Guo, Zhiyuan Wen, Jia Gu +6
Automatic Survey Generation (ASG) aims to produce comprehensive literature surveys by retrieving, organizing, and synthesizing academic papers. Despite rapid progress in specialize…
SGSimEval: A Comprehensive Multifaceted and Similarity-Enhanced Benchmark for Automatic Survey Generation Systems
Beichen Guo, Zhiyuan Wen, Yu Yang +3
The growing interest in automatic survey generation (ASG), a task that traditionally required considerable time and effort, has been spurred by recent advances in large language mo…
CodeEdu: A Multi-Agent Collaborative Platform for Personalized Coding Education
Jianing Zhao, Peng Gao, Jiannong Cao +5
Large Language Models (LLMs) have demonstrated considerable potential in improving coding education by providing support for code writing, explanation, and debugging. However, exis…
InteractiveSurvey: An LLM-based Personalized and Interactive Survey Paper Generation System
Zhiyuan Wen, Jiannong Cao, Zian Wang +3
The exponential growth of academic literature creates urgent demands for comprehensive survey papers, yet manual writing remains time-consuming and labor-intensive. Recent advances…
Self-assessment, Exhibition, and Recognition: a Review of Personality in Large Language Models
Zhiyuan Wen, Yu Yang, Jiannong Cao +3
As large language models (LLMs) appear to behave increasingly human-like in text-based interactions, more and more researchers become interested in investigating personality in LLM…
Personality-affected Emotion Generation in Dialog Systems
Zhiyuan Wen, Jiannong Cao, Jiaxing Shen +3
Generating appropriate emotions for responses is essential for dialog systems to provide human-like interaction in various application scenarios. Most previous dialog systems tried…
Affective-NLI: Towards Accurate and Interpretable Personality Recognition in Conversation
Zhiyuan Wen, Jiannong Cao, Yu Yang +2
Personality Recognition in Conversation (PRC) aims to identify the personality traits of speakers through textual dialogue content. It is essential for providing personalized servi…
Low-Resource Court Judgment Summarization for Common Law Systems
Shuaiqi Liu, Jiannong Cao, Yicong Li +2
Common law courts need to refer to similar precedents' judgments to inform their current decisions. Generating high-quality summaries of court judgment documents can facilitate leg…
Generating a Structured Summary of Numerous Academic Papers: Dataset and Method
Shuaiqi Liu, Jiannong Cao, Ruosong Yang +1
Writing a survey paper on one research topic usually needs to cover the salient content from numerous related papers, which can be modeled as a multi-document summarization (MDS) t…
Long Text and Multi-Table Summarization: Dataset and Method
Shuaiqi Liu, Jiannong Cao, Ruosong Yang +1
Automatic document summarization aims to produce a concise summary covering the input document's salient information. Within a report document, the salient information can be scatt…
Automatically Select Emotion for Response via Personality-affected Emotion Transition
Wen Zhiyuan, Cao Jiannong, Yang Ruosong +2
To provide consistent emotional interaction with users, dialog systems should be capable to automatically select appropriate emotions for responses like humans. However, most exist…