activity
20192024
most citedImproving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning

4 citations · 18 across the 19 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CL2023★ 1 cited

COOPER: Coordinating Specialized Agents towards a Complex Dialogue Goal

Yi Cheng, Wenge Liu, Jian Wang +5

In recent years, there has been a growing interest in exploring dialogues with more complex goals, such as negotiation, persuasion, and emotional support, which go beyond tradition…

cs.CL2023★ 1 cited

How Far Are LLMs from Believable AI? A Benchmark for Evaluating the Believability of Human Behavior Simulation

Yang Xiao, Yi Cheng, Jinlan Fu +3

In recent years, AI has demonstrated remarkable capabilities in simulating human behaviors, particularly those implemented with large language models (LLMs). However, due to the la…

cs.CL2023★ 1 cited

RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning

Wenjun Hou, Yi Cheng, Kaishuai Xu +2

Automating radiology report generation can significantly alleviate radiologists' workloads. Previous research has primarily focused on realizing highly concise observations while n…

cs.CL2023

Self-Detoxifying Language Models via Toxification Reversal

Chak Tou Leong, Yi Cheng, Jiashuo Wang +2

Language model detoxification aims to minimize the risk of generating offensive or harmful content in pretrained language models (PLMs) for safer deployment. Existing methods can b…

cs.CL2023

Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation

Jian Wang, Yi Cheng, Dongding Lin +2

Target-oriented dialogue systems, designed to proactively steer conversations toward predefined targets or accomplish specific system-side goals, are an exciting area in conversati…

cs.CL2023★ 2 cited

ORGAN: Observation-Guided Radiology Report Generation via Tree Reasoning

Wenjun Hou, Kaishuai Xu, Yi Cheng +2

This paper explores the task of radiology report generation, which aims at generating free-text descriptions for a set of radiographs. One significant challenge of this task is how…

cs.CL2023

Medical Dialogue Generation via Dual Flow Modeling

Kaishuai Xu, Wenjun Hou, Yi Cheng +2

Medical dialogue systems (MDS) aim to provide patients with medical services, such as diagnosis and prescription. Since most patients cannot precisely describe their symptoms, dial…