69 citations · 343 across the 36 of their papers we have counts for
36 papers
Bridging Scale Discrepancies in Robotic Control via Language-Based Action Representations
Yuchi Zhang, Churui Sun, Shiqi Liang +4
Recent end-to-end robotic manipulation research increasingly adopts architectures inspired by large language models to enable robust manipulation. However, a critical challenge ari…
CookBench: A Long-Horizon Embodied Planning Benchmark for Complex Cooking Scenarios
Muzhen Cai, Xiubo Chen, Yining An +5
Embodied Planning is dedicated to the goal of creating agents capable of executing long-horizon tasks in complex physical worlds. However, existing embodied planning benchmarks fre…
A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application
Shuaihang Chen, Yuanxing Liu, Wei Han +2
LLM-based Multi-Agent Systems ( LLM-MAS ) have become a research hotspot since the rise of large language models (LLMs). However, with the continuous influx of new related works, t…
Unstructured Text Enhanced Open-domain Dialogue System: A Systematic Survey
Longxuan Ma, Mingda Li, Weinan Zhang +2
Incorporating external knowledge into dialogue generation has been proven to benefit the performance of an open-domain Dialogue System (DS), such as generating informative or styli…
Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation
Ruiyu Xiao, Lei Wu, Yuhang Gou +2
Argumentative essay generation (AEG) aims to generate complete texts on specific controversial topics or debates. Although current AEG methods can generate individual opinions, the…
A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation
Wei-Nan Zhang, Yiming Cui, Kaiyan Zhang +4
Recently, research on open domain dialogue systems have attracted extensive interests of academic and industrial researchers. The goal of an open domain dialogue system is to imita…
Visualizing attention zones in machine reading comprehension models
Yiming Cui, Wei-Nan Zhang, Ting Liu
The attention mechanism plays an important role in the machine reading comprehension (MRC) model. Here, we describe a pipeline for building an MRC model with a pretrained language…
A Stack-Propagation Framework for Low-Resource Personalized Dialogue Generation
Haoyu Song, Wei-Nan Zhang, Kaiyan Zhang +1
With the resurgent interest in building open-domain dialogue systems, the dialogue generation task has attracted increasing attention over the past few years. This task is usually…
Building Dialogue Understanding Models for Low-resource Language Indonesian from Scratch
Donglin Di, Weinan Zhang, Yue Zhang +1
Making use of off-the-shelf resources of resource-rich languages to transfer knowledge for low-resource languages raises much attention recently. The requirements of enabling the m…
Policy-driven Knowledge Selection and Response Generation for Document-grounded Dialogue
Longxuan Ma, Jiapeng Li, Mingda Li +2
Document-grounded dialogue (DGD) uses documents as external knowledge for dialogue generation. Correctly understanding the dialogue context is crucial for selecting knowledge from…
Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements
Yushan Qian, Wei-Nan Zhang, Ting Liu
Empathetic dialogue is an indispensable part of building harmonious social relationships and contributes to the development of a helpful AI. Previous approaches are mainly based on…
Through the Lens of Core Competency: Survey on Evaluation of Large Language Models
Ziyu Zhuang, Qiguang Chen, Longxuan Ma +7
From pre-trained language model (PLM) to large language model (LLM), the field of natural language processing (NLP) has witnessed steep performance gains and wide practical uses. T…
MetricPrompt: Prompting Model as a Relevance Metric for Few-shot Text Classification
Hongyuan Dong, Weinan Zhang, Wanxiang Che
Prompting methods have shown impressive performance in a variety of text mining tasks and applications, especially few-shot ones. Despite the promising prospects, the performance o…
I run as fast as a rabbit, can you? A Multilingual Simile Dialogue Dataset
Longxuan Ma, Weinan Zhang, Shuhan Zhou +3
A simile is a figure of speech that compares two different things (called the tenor and the vehicle) via shared properties. The tenor and the vehicle are usually connected with com…
U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendation
Yuanxing Liu, Weinan Zhang, Baohua Dong +8
Conversational recommender systems (CRSs) aim to understand the information needs and preferences expressed in a dialogue to recommend suitable items to the user. Most of the exist…
SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation
Longxuan Ma, Ziyu Zhuang, Weinan Zhang +2
This paper introduces a novel Self-supervised Fine-grained Dialogue Evaluation framework (SelF-Eval). The core idea is to model the correlation between turn quality and the entire…
CLIP Models are Few-shot Learners: Empirical Studies on VQA and Visual Entailment
Haoyu Song, Li Dong, Wei-Nan Zhang +2
CLIP has shown a remarkable zero-shot capability on a wide range of vision tasks. Previously, CLIP is only regarded as a powerful visual encoder. However, after being pre-trained b…
Multilingual Multi-Aspect Explainability Analyses on Machine Reading Comprehension Models
Yiming Cui, Wei-Nan Zhang, Wanxiang Che +3
Achieving human-level performance on some of the Machine Reading Comprehension (MRC) datasets is no longer challenging with the help of powerful Pre-trained Language Models (PLMs).…
BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data
Haoyu Song, Yan Wang, Kaiyan Zhang +2
Maintaining consistent personas is essential for dialogue agents. Although tremendous advancements have been brought, the limited-scale of annotated persona-dense data are still ba…
A Compare Aggregate Transformer for Understanding Document-grounded Dialogue
Longxuan Ma, Weinan Zhang, Runxin Sun +1
Unstructured documents serving as external knowledge of the dialogues help to generate more informative responses. Previous research focused on knowledge selection (KS) in the docu…
Profile Consistency Identification for Open-domain Dialogue Agents
Haoyu Song, Yan Wang, Wei-Nan Zhang +3
Maintaining a consistent attribute profile is crucial for dialogue agents to naturally converse with humans. Existing studies on improving attribute consistency mainly explored how…
Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation
Haoyu Song, Yan Wang, Wei-Nan Zhang +2
Maintaining a consistent personality in conversations is quite natural for human beings, but is still a non-trivial task for machines. The persona-based dialogue generation task is…
A Survey of Document Grounded Dialogue Systems (DGDS)
Longxuan Ma, Wei-Nan Zhang, Mingda Li +1
Dialogue system (DS) attracts great attention from industry and academia because of its wide application prospects. Researchers usually divide the DS according to the function. How…
Counterfactual Off-Policy Training for Neural Response Generation
Qingfu Zhu, Weinan Zhang, Ting Liu +1
Open-domain dialogue generation suffers from the data insufficiency problem due to the vast size of potential responses. In this paper, we propose to explore potential responses by…