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09/18/2023
Discovering Sounding Objects by Audio Queries for Audio Visual Segmentation
Audio visual segmentation (AVS) aims to segment the sounding objects for...
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08/25/2023
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering
Equipped with Chain-of-Thought (CoT), Large language models (LLMs) have ...
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05/26/2023
Evaluating Open-Domain Dialogues in Latent Space with Next Sentence Prediction and Mutual Information
The long-standing one-to-many issue of the open-domain dialogues poses s...
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01/24/2023
Transformer-Patcher: One Mistake worth One Neuron
Large Transformer-based Pretrained Language Models (PLMs) dominate almos...
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11/01/2022
Improving Variational Autoencoders with Density Gap-based Regularization
Variational autoencoders (VAEs) are one of the powerful unsupervised lea...
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10/11/2022
Mixture of Attention Heads: Selecting Attention Heads Per Token
Mixture-of-Experts (MoE) networks have been proposed as an efficient way...
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09/10/2022
Causal Intervention for Fairness in Multi-behavior Recommendation
Recommender systems usually learn user interests from various user behav...
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09/06/2022
Entity Aware Syntax Tree Based Data Augmentation for Natural Language Understanding
Understanding the intention of the users and recognizing the semantic en...
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08/23/2022
Query-Response Interactions by Multi-tasks in Semantic Search for Chatbot Candidate Retrieval
Semantic search for candidate retrieval is an important yet neglected pr...
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06/07/2022
Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval
Dual-Encoders is a promising mechanism for answer retrieval in question ...
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08/28/2018
Why Do Neural Response Generation Models Prefer Universal Replies?
Recent advances in sequence-to-sequence learning reveal a purely data-dr...
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11/15/2015
