7 citations · 11 across the 6 of their papers we have counts for
7 papers · 1 filter
Multi-Persona Thinking for Bias Mitigation in Large Language Models
Yuxing Chen, Guoqing Luo, Zijun Wu +1
Large Language Models (LLMs) exhibit social biases, which can lead to harmful stereotypes and unfair outcomes. We propose \textbf{Multi-Persona Thinking (MPT)}, a simple inference-…
Investigating Thinking Behaviours of Reasoning-Based Language Models for Social Bias Mitigation
Guoqing Luo, Iffat Maab, Lili Mou +1
While reasoning-based large language models excel at complex tasks through an internal, structured thinking process, a concerning phenomenon has emerged that such a thinking proces…
KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation
Jiabin Fan, Guoqing Luo, Michael Bowling +1
We propose a novel k-step return estimation method (called KETCHUP) for Reinforcement Learning(RL)-based knowledge distillation (KD) in text generation tasks. Our idea is to induce…
Prompt-Based Editing for Text Style Transfer
Guoqing Luo, Yu Tong Han, Lili Mou +1
Prompting approaches have been recently explored in text style transfer, where a textual prompt is used to query a pretrained language model to generate style-transferred texts wor…
An Empirical Study on the Overlapping Problem of Open-Domain Dialogue Datasets
Yuqiao Wen, Guoqing Luo, Lili Mou
Open-domain dialogue systems aim to converse with humans through text, and dialogue research has heavily relied on benchmark datasets. In this work, we observe the overlapping prob…
Speaker-Oriented Latent Structures for Dialogue-Based Relation Extraction
Guoshun Nan, Guoqing Luo, Sicong Leng +2
Dialogue-based relation extraction (DiaRE) aims to detect the structural information from unstructured utterances in dialogues. Existing relation extraction models may be unsatisfa…
RDSGAN: Rank-based Distant Supervision Relation Extraction with Generative Adversarial Framework
Guoqing Luo, Jiaxin Pan, Min Peng
Distant supervision has been widely used for relation extraction but suffers from noise labeling problem. Neural network models are proposed to denoise with attention mechanism but…