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09/18/2023
Stabilizing RLHF through Advantage Model and Selective Rehearsal
Large Language Models (LLMs) have revolutionized natural language proces...
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08/17/2023
Do you really follow me? Adversarial Instructions for Evaluating the Robustness of Large Language Models
Large Language Models (LLMs) have shown remarkable proficiency in follow...
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05/24/2023
Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models
Fact-checking is an essential task in NLP that is commonly utilized for ...
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05/15/2023
SGP-TOD: Building Task Bots Effortlessly via Schema-Guided LLM Prompting
Building end-to-end task bots and maintaining their integration with new...
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04/06/2023
Instruction Tuning with GPT-4
Prior work has shown that finetuning large language models (LLMs) using ...
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03/02/2023
Interactive Text Generation
Users interact with text, image, code, or other editors on a daily basis...
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02/24/2023
Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback
Large language models (LLMs), such as ChatGPT, are able to generate huma...
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02/22/2023
Guiding Large Language Models via Directional Stimulus Prompting
We introduce a new framework, Directional Stimulus Prompting, that uses ...
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12/20/2022
DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization
Dialogue summarization has recently garnered significant attention due t...
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12/20/2022
Enhancing Task Bot Engagement with Synthesized Open-Domain Dialog
Many efforts have been made to construct dialog systems for different ty...
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12/04/2022
Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation
Large pre-trained language models have recently enabled open-ended gener...
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11/30/2022
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format
Diverse data formats and ontologies of task-oriented dialogue (TOD) data...
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10/13/2022
Explanations from Large Language Models Make Small Reasoners Better
Integrating free-text explanations to in-context learning of large langu...
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06/24/2022
OPERA: Harmonizing Task-Oriented Dialogs and Information Seeking Experience
Existing studies in conversational AI mostly treat task-oriented dialog ...
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06/22/2022
GODEL: Large-Scale Pre-Training for Goal-Directed Dialog
We introduce GODEL (Grounded Open Dialogue Language Model), a large pre-...
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01/18/2022
Toward Self-Learning End-to-End Dialog Systems
End-to-end task-oriented dialog systems often suffer from out-of-distrib...
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12/15/2021
Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation
Knowledge-grounded dialogue systems are challenging to build due to the ...
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12/12/2021
ValueNet: A New Dataset for Human Value Driven Dialogue System
Building a socially intelligent agent involves many challenges, one of w...
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10/21/2021
SYNERGY: Building Task Bots at Scale Using Symbolic Knowledge and Machine Teaching
In this paper we explore the use of symbolic knowledge and machine teach...
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12/29/2020
Few-Shot Named Entity Recognition: A Comprehensive Study
This paper presents a comprehensive study to efficiently build named ent...
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12/29/2020
RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems
For task-oriented dialog systems to be maximally useful, it must be able...
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12/25/2020
Self-supervised Pre-training with Hard Examples Improves Visual Representations
Self-supervised pre-training (SSP) employs random image transformations ...
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11/12/2020
Overview of the Ninth Dialog System Technology Challenge: DSTC9
This paper introduces the Ninth Dialog System Technology Challenge (DSTC...
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09/07/2020
Robust Conversational AI with Grounded Text Generation
This article presents a hybrid approach based on a Grounded Text Generat...
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06/03/2020
Meta Dialogue Policy Learning
Dialog policy determines the next-step actions for agents and hence is c...
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05/15/2020
Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation
There is a growing interest in developing goal-oriented dialog systems w...
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05/11/2020
SOLOIST: Few-shot Task-Oriented Dialog with A Single Pre-trained Auto-regressive Model
This paper presents a new method SOLOIST, which uses transfer learning t...
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04/29/2020
Task-oriented Dialogue System for Automatic Disease Diagnosis via Hierarchical Reinforcement Learning
In this paper, we focus on automatic disease diagnosis with reinforcemen...
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04/29/2020
Data Augmentation for Spoken Language Understanding via Pretrained Models
The training of spoken language understanding (SLU) models often faces t...
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04/09/2020
Conversation Learner – A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems
Traditionally, industry solutions for building a task-oriented dialog sy...
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04/07/2020
Guided Dialog Policy Learning without Adversarial Learning in the Loop
Reinforcement-based training methods have emerged as the most popular ch...
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04/05/2020
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space
When trained effectively, the Variational Autoencoder (VAE) can be both ...
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02/27/2020
Few-shot Natural Language Generation for Task-Oriented Dialog
As a crucial component in task-oriented dialog systems, the Natural Lang...
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11/14/2019
The Eighth Dialog System Technology Challenge
This paper introduces the Eighth Dialog System Technology Challenge. In ...
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04/18/2019
ConvLab: Multi-Domain End-to-End Dialog System Platform
We present ConvLab, an open-source multi-domain end-to-end dialog system...
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01/18/2018
Integrating planning for task-completion dialogue policy learning
Training a task-completion dialogue agent with real users via reinforcem...
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10/31/2017
Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue Policy Learning
This paper presents a new method --- adversarial advantage actor-critic ...
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04/10/2017
Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning
Building a dialogue agent to fulfill complex tasks, such as travel plann...
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06/03/2016
An Attentional Neural Conversation Model with Improved Specificity
In this paper we propose a neural conversation model for conducting dial...
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11/15/2015
Word Embedding based Correlation Model for Question/Answer Matching
With the development of community based question answering (Q&A) service...
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10/29/2015
Attention with Intention for a Neural Network Conversation Model
In a conversation or a dialogue process, attention and intention play in...
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08/22/2015
Towards Neural Network-based Reasoning
We propose Neural Reasoner, a framework for neural network-based reasoni...
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05/31/2015
