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08/18/2023
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Large language models (LLMs), such as GPT-4, have shown remarkable perfo...
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07/28/2023
Investigating the Learning Behaviour of In-context Learning: A Comparison with Supervised Learning
Large language models (LLMs) have shown remarkable capacity for in-conte...
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06/14/2023
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
Code Large Language Models (Code LLMs), such as StarCoder, have demonstr...
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05/12/2023
Knowledge Refinement via Interaction Between Search Engines and Large Language Models
Information retrieval (IR) plays a crucial role in locating relevant res...
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05/08/2023
Augmented Large Language Models with Parametric Knowledge Guiding
Large Language Models (LLMs) have significantly advanced natural languag...
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04/27/2023
Large Language Models are Strong Zero-Shot Retriever
In this work, we propose a simple method that applies a large language m...
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04/24/2023
WizardLM: Empowering Large Language Models to Follow Complex Instructions
Training large language models (LLM) with open-domain instruction follow...
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02/22/2023
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective
ChatGPT is a recent chatbot service released by OpenAI and is receiving ...
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02/06/2023
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval
Image-text retrieval (ITR) is a task to retrieve the relevant images/tex...
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12/20/2022
Fine-Grained Distillation for Long Document Retrieval
Long document retrieval aims to fetch query-relevant documents from a la...
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12/20/2022
Adam: Dense Retrieval Distillation with Adaptive Dark Examples
To improve the performance of the dual-encoder retriever, one effective ...
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08/31/2022
LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval
In large-scale retrieval, the lexicon-weighting paradigm, learning weigh...
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08/29/2022
LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval
Retrieval models based on dense representations in semantic space have b...
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06/21/2022
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Few-Shot NLP
This paper focuses on text data augmentation for few-shot NLP tasks. The...
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06/16/2022
Towards Robust Ranker for Text Retrieval
A ranker plays an indispensable role in the de facto 'retrieval rera...
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05/23/2022
UnifieR: A Unified Retriever for Large-Scale Retrieval
Large-scale retrieval is to recall relevant documents from a huge collec...
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04/12/2022
Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting
Current Knowledge-Grounded Dialogue Generation (KDG) models specialize i...
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03/16/2022
TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge
Generating natural and informative texts has been a long-standing proble...
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03/16/2022
HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations
Recently, various response generation models for two-party conversations...
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03/04/2022
ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification
Generating new events given context with correlated ones plays a crucial...
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02/25/2022
PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks
This paper focuses on the Data Augmentation for low-resource Natural Lan...
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01/28/2022
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings
Learning sentence embeddings in an unsupervised manner is fundamental in...
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10/16/2021
Multimodal Dialogue Response Generation
Responsing with image has been recognized as an important capability for...
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10/13/2021
EventBERT: A Pre-Trained Model for Event Correlation Reasoning
Event correlation reasoning infers whether a natural language paragraph ...
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10/01/2021
Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning
Establishing retrieval-based dialogue systems that can select appropriat...
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09/25/2021
Learning Neural Templates for Recommender Dialogue System
Though recent end-to-end neural models have shown promising progress on ...
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06/03/2021
MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding
Recently, various neural models for multi-party conversation (MPC) have ...
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05/27/2021
Maria: A Visual Experience Powered Conversational Agent
Arguably, the visual perception of conversational agents to the physical...
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10/03/2020
Towards Interpretable Reasoning over Paragraph Effects in Situation
We focus on the task of reasoning over paragraph effects in situation, w...
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09/28/2020
Knowledge-Aware Procedural Text Understanding with Multi-Stage Training
We focus on the task of procedural text understanding, which aims to tra...
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02/28/2020
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding
Recent studies on open-domain question answering have achieved prominent...
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10/11/2019
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base
We consider the problem of conversational question answering over a larg...
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09/06/2019
