b'Yongbin Li'

research

∙ 09/20/2023

UniPCM: Universal Pre-trained Conversation Model with Task-aware Automatic Prompt

Recent research has shown that multi-task pre-training greatly improves ...

0 Yucheng Cai, et al. ∙

research

∙ 09/14/2023

VDialogUE: A Unified Evaluation Benchmark for Visually-grounded Dialogue

Visually-grounded dialog systems, which integrate multiple modes of comm...

0 Yunshui Li, et al. ∙

research

∙ 08/10/2023

A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment

Training large language models (LLMs) with open-domain instruction data ...

0 Yingxiu Zhao, et al. ∙

research

∙ 08/03/2023

Wider and Deeper LLM Networks are Fairer LLM Evaluators

Measuring the quality of responses generated by LLMs is a challenging ta...

0 Xinghua Zhang, et al. ∙

research

∙ 06/30/2023

Preference Ranking Optimization for Human Alignment

Large language models (LLMs) often contain misleading content, emphasizi...

0 Feifan Song, et al. ∙

research

∙ 06/29/2023

Unified Language Representation for Question Answering over Text, Tables, and Images

When trying to answer complex questions, people often rely on multiple s...

0 Bowen Yu, et al. ∙

research

∙ 05/26/2023

Multimodal Recommendation Dialog with Subjective Preference: A New Challenge and Benchmark

Existing multimodal task-oriented dialog data fails to demonstrate the d...

0 Yuxing Long, et al. ∙

research

∙ 05/24/2023

PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts

Perceiving multi-modal information and fulfilling dialogues with humans ...

0 Yunshui Li, et al. ∙

research

∙ 05/22/2023

Iterative Forward Tuning Boosts In-context Learning in Language Models

Large language models (LLMs) have exhibited an emergent in-context learn...

0 Jiaxi Yang, et al. ∙

research

∙ 05/19/2023

Speech-Text Dialog Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment

Recently, speech-text pre-training methods have shown remarkable success...

0 Tianshu Yu, et al. ∙

research

∙ 05/18/2023

Causal Document-Grounded Dialogue Pre-training

The goal of document-grounded dialogue (DocGD) is to generate a response...

3 Yingxiu Zhao, et al. ∙

research

∙ 05/11/2023

Long-Tailed Question Answering in an Open World

Real-world data often have an open long-tailed distribution, and buildin...

0 Yi Dai, et al. ∙

research

∙ 05/11/2023

Domain Incremental Lifelong Learning in an Open World

Lifelong learning (LL) is an important ability for NLP models to learn n...

0 Yi Dai, et al. ∙

research

∙ 05/05/2023

Out-of-Domain Intent Detection Considering Multi-turn Dialogue Contexts

Out-of-Domain (OOD) intent detection is vital for practical dialogue sys...

0 Hao Lang, et al. ∙

research

∙ 05/05/2023

A Survey on Out-of-Distribution Detection in NLP

Out-of-distribution (OOD) detection is essential for the reliable and sa...

0 Hao Lang, et al. ∙

research

∙ 04/14/2023

API-Bank: A Benchmark for Tool-Augmented LLMs

Recent research has shown that Large Language Models (LLMs) can utilize ...

0 Minghao Li, et al. ∙

research

∙ 02/23/2023

Coarse-to-Fine Knowledge Selection for Document Grounded Dialogs

Multi-document grounded dialogue systems (DGDS) belong to a class of con...

0 Yeqin Zhang, et al. ∙

research

∙ 02/23/2023

Empathetic Response Generation via Emotion Cause Transition Graph

Empathetic dialogue is a human-like behavior that requires the perceptio...

0 Yushan Qian, et al. ∙

research

∙ 01/31/2023

Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning

Table-based reasoning has shown remarkable progress in combining deep mo...

0 Yunhu Ye, et al. ∙

research

∙ 01/05/2023

SPRING: Situated Conversation Agent Pretrained with Multimodal Questions from Incremental Layout Graph

Existing multimodal conversation agents have shown impressive abilities ...

0 Yuxing Long, et al. ∙

research

∙ 11/29/2022

Towards Generalized Open Information Extraction

Open Information Extraction (OpenIE) facilitates the open-domain discove...

0 Bowen Yu, et al. ∙

research

∙ 11/23/2022

Semi-Supervised Lifelong Language Learning

Lifelong learning aims to accumulate knowledge and alleviate catastrophi...

0 Yingxiu Zhao, et al. ∙

research

∙ 11/21/2022

CGoDial: A Large-Scale Benchmark for Chinese Goal-oriented Dialog Evaluation

Practical dialog systems need to deal with various knowledge sources, no...

0 Yinpei Dai, et al. ∙

research

∙ 11/21/2022

UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition

Multimodal sentiment analysis (MSA) and emotion recognition in conversat...

0 Guimin Hu, et al. ∙

research

∙ 11/10/2022

Estimating Soft Labels for Out-of-Domain Intent Detection

Out-of-Domain (OOD) intent detection is important for practical dialog s...

0 Hao Lang, et al. ∙

research

∙ 10/23/2022

Towards Generalizable and Robust Text-to-SQL Parsing

Text-to-SQL parsing tackles the problem of mapping natural language ques...

0 Chang Gao, et al. ∙

research

∙ 10/21/2022

STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing

In this paper, we propose a novel SQL guided pre-training framework STAR...

0 Zefeng Cai, et al. ∙

research

∙ 10/20/2022

Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots

This paper introduces Doc2Bot, a novel dataset for building machines tha...

0 Haomin Fu, et al. ∙

research

∙ 10/14/2022

Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue

Lifelong learning (LL) is vital for advanced task-oriented dialogue (ToD...

0 Yingxiu Zhao, et al. ∙

research

∙ 09/15/2022

Graph-to-Text Generation with Dynamic Structure Pruning

Most graph-to-text works are built on the encoder-decoder framework with...

16 Liang Li, et al. ∙

research

∙ 09/14/2022

SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation

Recently, pre-training methods have shown remarkable success in task-ori...

0 Wanwei He, et al. ∙

research

∙ 09/14/2022

SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding

Pre-training methods with contrastive learning objectives have shown rem...

0 Wanwei He, et al. ∙

research

∙ 09/14/2022

SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers

This paper aims to improve the performance of text-to-SQL parsing by exp...

4 Bowen Qin, et al. ∙

research

∙ 09/06/2022

EnergonAI: An Inference System for 10-100 Billion Parameter Transformer Models

Large transformer models display promising performance on a wide range o...

0 Jiangsu Du, et al. ∙

research

∙ 08/31/2022

Lifelong Learning for Question Answering with Hierarchical Prompts

QA models with lifelong learning (LL) abilities are important for practi...

0 Yi Dai, et al. ∙

research

∙ 08/29/2022

A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions

Text-to-SQL parsing is an essential and challenging task. The goal of te...

0 Bowen Qin, et al. ∙

research

∙ 08/08/2022

A Frequency-aware Software Cache for Large Recommendation System Embeddings

Deep learning recommendation models (DLRMs) have been widely applied in ...

0 Jiarui Fang, et al. ∙

research

∙ 07/14/2022

Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration

Building document-grounded dialogue systems have received growing intere...

0 Zhenyu Zhang, et al. ∙

research

∙ 06/28/2022

Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing

The importance of building text-to-SQL parsers which can be applied to n...

4 Lihan Wang, et al. ∙

research

∙ 06/02/2022

Multi-View Active Fine-Grained Recognition

As fine-grained visual classification (FGVC) being developed for decades...

0 Ruoyi Du, et al. ∙

research

∙ 05/30/2022

Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems

In this paper, we present Duplex Conversation, a multi-turn, multimodal ...

0 Ting-En Lin, et al. ∙

research

∙ 03/21/2022

A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots

A slot value might be provided segment by segment over multiple-turn int...

0 Sai Zhang, et al. ∙

research

∙ 03/14/2022

S^2SQL: Injecting Syntax to Question-Schema Interaction Graph Encoder for Text-to-SQL Parsers

The task of converting a natural language question into an executable SQ...

7 Binyuan Hui, et al. ∙

research

∙ 11/29/2021

GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection

Pre-trained models have proved to be powerful in enhancing task-oriented...

0 Wanwei He, et al. ∙

research

∙ 11/18/2021

SDCUP: Schema Dependency-Enhanced Curriculum Pre-Training for Table Semantic Parsing

Recently pre-training models have significantly improved the performance...

0 Bowen Qin, et al. ∙

research

∙ 10/28/2021

Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training

The Transformer architecture has improved the performance of deep learni...

0 Zhengda Bian, et al. ∙

research

∙ 06/01/2021

Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking

Existing dialog state tracking (DST) models are trained with dialog data...

0 Yinpei Dai, et al. ∙

research

∙ 03/07/2021

Improving Text-to-SQL with Schema Dependency Learning

Text-to-SQL aims to map natural language questions to SQL queries. The s...

0 Binyuan Hui, et al. ∙

research

∙ 01/05/2021

Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing

Semantic parsing has long been a fundamental problem in natural language...

0 Binyuan Hui, et al. ∙

research

∙ 05/12/2020

Dynamic Memory Induction Networks for Few-Shot Text Classification

This paper proposes Dynamic Memory Induction Networks (DMIN) for few-sho...

0 Ruiying Geng, et al. ∙

Yongbin Li

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