Linjun Yang
8 papers · 2018–2024 · 4 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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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(24)
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(6)
Core AI
(6)
Learning Types · Machine Learning
(6)
Deep Learning
(5)
Natural Language Processing
(5)
Applications
(3)
Learning Types · Deep Learning
(3)
Resources & Methods
(3)
Core Methods
(2)
Generation
(2)
Architectures
(1)
Models
(1)
Optimization & Theory
(1)
Techniques
(1)
Keywords
large language model
(4)
prompt engineering
(3)
open-domain question answering
(2)
prompt optimization
(2)
dense passage retrieval
(2)
knowledge distillation
(1)
sparse representation
(1)
zero-shot learning
(1)
dense retrieval
(1)
transfer learning
(1)
synthetic data generation
(1)
label noise
(1)
language model
(1)
synthetic data
(1)
text embedding
(1)
question answering
(1)
zero-shot transfer
(1)
self-supervised pretraining
(1)
noisy label
(1)
in-context learning
(1)
Papers
AMPO: Automatic Multi-Branched Prompt Optimization
EMNLP 2024
Improving Text Embeddings with Large Language Models
ACL 2024
StraGo: Harnessing Strategic Guidance for Prompt Optimization
EMNLP 2024
Allies: Prompting Large Language Model with Beam Search
EMNLP 2023
LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval
ICLR 2023
SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval
ACL 2023
xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering
ACL 2021
CleanNet: Transfer Learning for Scalable Image Classifier Training With Label Noise
CVPR 2018