Chengyue Jiang
11 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Machine Learning
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Keywords
pre-trained language model
(3)
entity typing
(3)
variational inference
(2)
named entity recognition
(2)
instruction tuning
(2)
sequence labeling
(2)
regular expression
(2)
large language model
(2)
zero-shot learning
(2)
ultra-fine entity typing
(2)
self-supervised learning
(1)
fine-grained classification
(1)
natural language understanding
(1)
knowledge probing
(1)
logical reasoning
(1)
multi-label classification
(1)
zero-shot generalization
(1)
semantic parsing
(1)
recurrent neural network
(1)
gaussian mixture model
(1)
Papers
EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-commerce
AAAI 2024
SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding
AAAI 2024
COMBO: A Complete Benchmark for Open KG Canonicalization
EACL 2023
Do PLMs Know and Understand Ontological Knowledge?
ACL 2023
Recall, Expand, and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing
ACL 2023
Using Interpretation Methods for Model Enhancement
EMNLP 2023
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field
EMNLP 2022
Neuralizing Regular Expressions for Slot Filling
EMNLP 2021
Cold-Start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks
EMNLP 2020
Learning Numeral Embedding
EMNLP 2020
ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing
CoNLL 2019