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08/29/2023
Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models
Most open-domain dialogue systems suffer from forgetting important infor...
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06/01/2023
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking
Zero-shot transfer learning for Dialogue State Tracking (DST) helps to h...
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05/27/2023
Towards Better Entity Linking with Multi-View Enhanced Distillation
Dense retrieval is widely used for entity linking to retrieve entities f...
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10/11/2022
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models
Despite the remarkable success of pre-trained language models (PLMs), th...
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10/10/2022
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA
Visual Question Answering (VQA) models are prone to learn the shortcut s...
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10/10/2022
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning
Models for Visual Question Answering (VQA) often rely on the spurious co...
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05/02/2022
Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge
Conversational Causal Emotion Entailment aims to detect causal utterance...
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04/28/2022
Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization
In zero-shot multilingual extractive text summarization, a model is typi...
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04/24/2022
Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training
Recent studies on the lottery ticket hypothesis (LTH) show that pre-trai...
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10/02/2021
Is There More Pattern in Knowledge Graph? Exploring Proximity Pattern for Knowledge Graph Embedding
Modeling of relation pattern is the core focus of previous Knowledge Gra...
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09/24/2021
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: a Semantic Evidence View
Knowledge Graph Embedding (KGE) aims to learn representations for entiti...
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02/26/2021
Task-adaptive Neural Process for User Cold-Start Recommendation
User cold-start recommendation is a long-standing challenge for recommen...
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10/23/2020
Graph Geometry Interaction Learning
While numerous approaches have been developed to embed graphs into eithe...
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03/28/2020
HIN: Hierarchical Inference Network for Document-Level Relation Extraction
Document-level RE requires reading, inferring and aggregating over multi...
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10/31/2019
RLINK: Deep Reinforcement Learning for User Identity Linkage
User identity linkage is a task of recognizing the identities of the sam...
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02/01/2019