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06/16/2023
Full Parameter Fine-tuning for Large Language Models with Limited Resources
Large Language Models (LLMs) have revolutionized Natural Language Proces...
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05/30/2023
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction
Recent works have introduced Abstract Meaning Representation (AMR) for D...
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05/29/2023
Do Large Language Models Know What They Don't Know?
Large language models (LLMs) have a wealth of knowledge that allows them...
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05/26/2023
Exploiting Abstract Meaning Representation for Open-Domain Question Answering
The Open-Domain Question Answering (ODQA) task involves retrieving and s...
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05/23/2023
All Roads Lead to Rome? Exploring the Invariance of Transformers' Representations
Transformer models bring propelling advances in various NLP tasks, thus ...
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11/23/2022
Word-Level Representation From Bytes For Language Modeling
Modern language models mostly take sub-words as input, a design that bal...
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10/31/2022
RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees
Interpreting the reasoning process from questions to answers poses a cha...
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10/28/2022
DORE: Document Ordered Relation Extraction based on Generative Framework
In recent years, there is a surge of generation-based information extrac...
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05/27/2022
What Dense Graph Do You Need for Self-Attention?
Transformers have made progress in miscellaneous tasks, but suffer from ...
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04/23/2022
Dialogue Meaning Representation for Task-Oriented Dialogue Systems
Dialogue meaning representation formulates natural language utterance se...
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01/24/2022
Towards Collaborative Question Answering: A Preliminary Study
Knowledge and expertise in the real-world can be disjointedly owned. To ...
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06/02/2021
A Unified Generative Framework for Various NER Subtasks
Named Entity Recognition (NER) is the task of identifying spans that rep...
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12/14/2020
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings
Cycle-consistent training is widely used for jointly learning a forward ...
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10/01/2020
CoLAKE: Contextualized Language and Knowledge Embedding
With the emerging branch of incorporating factual knowledge into pre-tra...
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06/08/2020
CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training
Two important tasks at the intersection of knowledge graphs and natural ...
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04/21/2020
BERT-ATTACK: Adversarial Attack Against BERT Using BERT
Adversarial attacks for discrete data (such as text) has been proved sig...
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12/02/2019
Multi-Scale Self-Attention for Text Classification
In this paper, we introduce the prior knowledge, multi-scale structure, ...
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11/23/2019
Joint Parsing and Generation for Abstractive Summarization
Sentences produced by abstractive summarization systems can be ungrammat...
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11/11/2019
BP-Transformer: Modelling Long-Range Context via Binary Partitioning
The Transformer model is widely successful on many natural language proc...
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02/25/2019
Star-Transformer
Although the fully-connected attention-based model Transformer has achie...
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08/14/2018
