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09/12/2023
Re-Reading Improves Reasoning in Language Models
Reasoning presents a significant and challenging issue for Large Languag...
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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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04/26/2023
Self-Supervised Multi-Modal Sequential Recommendation
With the increasing development of e-commerce and online services, perso...
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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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02/06/2023
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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11/10/2022
MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation
Responding with multi-modal content has been recognized as an essential ...
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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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08/06/2022
LFGCF: Light Folksonomy Graph Collaborative Filtering for Tag-Aware Recommendation
Tag-aware recommendation is a task of predicting a personalized list of ...
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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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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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01/26/2022
Recency Dropout for Recurrent Recommender Systems
Recurrent recommender systems have been successful in capturing the temp...
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11/19/2021
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning
Retrieve-based dialogue response selection aims to find a proper respons...
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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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10/14/2021
Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph
In this paper, we present a pre-trained language model (PLM) based frame...
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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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09/24/2021
Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations
We study the problem of coarse-grained response selection in retrieval-b...
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09/13/2021
Learning to Ground Visual Objects for Visual Dialog
Visual dialog is challenging since it needs to answer a series of cohere...
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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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04/16/2021
ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation
Now, the pre-training technique is ubiquitous in natural language proces...
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01/28/2021
Learning Matching Representations for Individualized Organ Transplantation Allocation
Organ transplantation is often the last resort for treating end-stage il...
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11/19/2020
Are Pre-trained Language Models Knowledgeable to Ground Open Domain Dialogues?
We study knowledge-grounded dialogue generation with pre-trained languag...
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10/06/2020
StyleDGPT: Stylized Response Generation with Pre-trained Language Models
Generating responses following a desired style has great potentials to e...
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08/29/2020
Zero-Resource Knowledge-Grounded Dialogue Generation
While neural conversation models have shown great potentials towards gen...
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04/04/2020
Open Domain Dialogue Generation with Latent Images
We consider grounding open domain dialogues with images. Existing work a...
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04/04/2020
Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks
We study multi-turn response generation for open-domain dialogues. The e...
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02/24/2020
Low-Resource Knowledge-Grounded Dialogue Generation
Responding with knowledge has been recognized as an important capability...
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12/25/2019
THUEE system description for NIST 2019 SRE CTS Challenge
This paper describes the systems submitted by the department of electron...
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09/26/2019
Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation
Automatic news comment generation is beneficial for real applications bu...
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09/26/2019
Low-Resource Response Generation with Template Prior
We study open domain response generation with limited message-response p...
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06/14/2019
Neural Response Generation with Meta-Words
We present open domain response generation with meta-words. A meta-word ...
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06/11/2019
A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots
We present a document-grounded matching network (DGMN) for response sele...
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02/22/2019
Towards Neural Mixture Recommender for Long Range Dependent User Sequences
Understanding temporal dynamics has proved to be highly valuable for acc...
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08/25/2018
Multiobjective Optimization Training of PLDA for Speaker Verification
Most current state-of-the-art text-independent speaker verification syst...
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08/23/2018
Playing 20 Question Game with Policy-Based Reinforcement Learning
The 20 Questions (Q20) game is a well known game which encourages deduct...
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08/22/2018
Improving Matching Models with Contextualized Word Representations for Multi-turn Response Selection in Retrieval-based Chatbots
We consider matching with pre-trained contextualized word vectors for mu...
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07/19/2018
Towards Explainable and Controllable Open Domain Dialogue Generation with Dialogue Acts
We study open domain dialogue generation with dialogue acts designed to ...
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11/30/2017
