Jian Jiao
22 papers · 2020–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (41) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Triple Crown
π€
Dynamic Duo
(13)
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Prolific Year Β· Productive
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Century Club Β· Bronze
ποΈ
Keyword Collector
(94)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(13)
Natural Language Processing
(13)
Deep Learning
(10)
Core Methods
(9)
Generation
(8)
Artificial Intelligence
(7)
Resources & Methods
(6)
Architectures
(5)
Core AI
(5)
Learning Types Β· Deep Learning
(5)
Learning Types Β· Machine Learning
(5)
Application Areas
(3)
Data Science & Analytics
(2)
Applications Β· Natural Language Processing
(2)
Applications Β· Data Science & Analytics
(2)
Keywords
large language model
(4)
text generation
(4)
pre-trained language model
(4)
commonsense generation
(3)
extreme classification
(3)
domain adaptation
(2)
contrastive learning
(2)
sentence embedding
(2)
few-shot learning
(2)
precision@1
(2)
continual pre-training
(2)
prompt engineering
(1)
text classification
(1)
neural machine translation
(1)
in-context learning
(1)
data augmentation
(1)
zero-shot learning
(1)
factual accuracy
(1)
text summarization
(1)
machine translation
(1)
Papers
Integrative Decoding: Improving Factuality via Implicit Self-consistency
ICLR 2025
MOGIC: Metadata-infused Oracle Guidance for Improved Extreme Classification
ICML 2025
Task Facet Learning: A Structured Approach To Prompt Optimization
ACL 2025
AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators
NAACL 2024
Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing
ICLR 2024
Not All Tokens Are What You Need for Pretraining
NeurIPS 2024
OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification
ICML 2024
Task Oriented In-Domain Data Augmentation
EMNLP 2024
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
NeurIPS 2023
CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion
EMNLP 2023
Dual-Alignment Pre-training for Cross-lingual Sentence Embedding
ACL 2023
CULG: Commercial Universal Language Generation
NAACL 2022
Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning
EMNLP 2022
PromptBERT: Improving BERT Sentence Embeddings with Prompts
EMNLP 2022
Taming Sparsely Activated Transformer with Stochastic Experts
ICLR 2022
BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining
ICML 2021
GLGE: A New General Language Generation Evaluation Benchmark
ACL 2021
HittER: Hierarchical Transformers for Knowledge Graph Embeddings
EMNLP 2021
KFCNet: Knowledge Filtering and Contrastive Learning for Generative Commonsense Reasoning
EMNLP 2021
Mask Attention Networks: Rethinking and Strengthen Transformer
NAACL 2021
SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels
ICML 2021
An Enhanced Knowledge Injection Model for Commonsense Generation
COLING 2020