5 citations · 8 across the 28 of their papers we have counts for
11 papers · 1 filter
MDD-5k: A New Diagnostic Conversation Dataset for Mental Disorders Synthesized via Neuro-Symbolic LLM Agents
Congchi Yin, Feng Li, Shu Zhang +5
The clinical diagnosis of most mental disorders primarily relies on the conversations between psychiatrist and patient. The creation of such diagnostic conversation datasets is pro…
LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models
Renzhi Wang, Piji Li
Large language models (LLMs) require continual knowledge updates to stay abreast of the ever-changing world facts, prompting the formulation of lifelong model editing task. While r…
CACL: Community-Aware Heterogeneous Graph Contrastive Learning for Social Media Bot Detection
Sirry Chen, Shuo Feng, Songsong Liang +3
Social media bot detection is increasingly crucial with the rise of social media platforms. Existing methods predominantly construct social networks as graph and utilize graph neur…
MEMoE: Enhancing Model Editing with Mixture of Experts Adaptors
Renzhi Wang, Piji Li
Model editing aims to efficiently alter the behavior of Large Language Models (LLMs) within a desired scope, while ensuring no adverse impact on other inputs. Recent years have wit…
Semantic are Beacons: A Semantic Perspective for Unveiling Parameter-Efficient Fine-Tuning in Knowledge Learning
Renzhi Wang, Piji Li
Parameter-Efficient Fine-Tuning (PEFT) methods enable efficient adaptation of Large Language Models (LLMs) to various downstream applications. However, the effectiveness of the PEF…
5W1H Extraction With Large Language Models
Yang Cao, Yangsong Lan, Feiyan Zhai +1
The extraction of essential news elements through the 5W1H framework (\textit{What}, \textit{When}, \textit{Where}, \textit{Why}, \textit{Who}, and \textit{How}) is critical for ev…
A Systematic Evaluation of Large Language Models for Natural Language Generation Tasks
Xuanfan Ni, Piji Li
Recent efforts have evaluated large language models (LLMs) in areas such as commonsense reasoning, mathematical reasoning, and code generation. However, to the best of our knowledg…
Language Reconstruction with Brain Predictive Coding from fMRI Data
Congchi Yin, Ziyi Ye, Piji Li
Many recent studies have shown that the perception of speech can be decoded from brain signals and subsequently reconstructed as continuous language. However, there is a lack of ne…
XLBench: A Benchmark for Extremely Long Context Understanding with Long-range Dependencies
Xuanfan Ni, Hengyi Cai, Xiaochi Wei +3
Large Language Models (LLMs) have demonstrated remarkable performance across diverse tasks but are constrained by their small context window sizes. Various efforts have been propos…
Characteristic AI Agents via Large Language Models
Xi Wang, Hongliang Dai, Shen Gao +1
The advancement of Large Language Models (LLMs) has led to significant enhancements in the performance of chatbot systems. Many researchers have dedicated their efforts to the deve…
An Empirical Investigation of Domain Adaptation Ability for Chinese Spelling Check Models
Xi Wang, Ruoqing Zhao, Hongliang Dai +1
Chinese Spelling Check (CSC) is a meaningful task in the area of Natural Language Processing (NLP) which aims at detecting spelling errors in Chinese texts and then correcting thes…