Raymond Li
13 papers · 2018–2025 · 5 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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🗺️ Taxonomy Completionist (39) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🧬
Topic Evolution
🧭
Keyword Pioneer
🤝
Dynamic Duo
(10)
🗃️
Keyword Collector
(76)
💎
Century Club · Bronze
⚡
Prolific Year · Productive
Top co-authors
Research topics
Natural Language Processing
(10)
Artificial Intelligence
(9)
Machine Learning
(8)
Core AI
(8)
Deep Learning
(6)
Applications
(4)
Architectures
(4)
Core Methods
(4)
Generation
(4)
Learning Types · Deep Learning
(4)
Learning Types · Machine Learning
(3)
Techniques
(3)
Application Areas
(2)
Optimization & Theory
(2)
Healthcare & Medicine
(1)
Keywords
large language model
(3)
in-context learning
(3)
extractive summarization
(2)
hidden state
(2)
parameter-efficient fine-tuning
(2)
abstractive summarization
(2)
text classification
(1)
sentiment analysis
(1)
representation learning
(1)
document summarization
(1)
semantic parsing
(1)
bayesian framework
(1)
latent topic modeling
(1)
topic modeling
(1)
bayesian inference
(1)
vision-language model
(1)
mixture of expert
(1)
variational autoencoder
(1)
recommendation system
(1)
variational inference
(1)
Papers
CEMTM: Contextual Embedding-based Multimodal Topic Modeling
EMNLP 2025
Delta-KNN: Improving Demonstration Selection in In-Context Learning for Alzheimer’s Disease Detection
ACL 2025
DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning
COLING 2025
Explicit Bayesian Inference to Uncover the Latent Themes of Large Language Models
ACL 2025
Hierarchical Attention Adapter for Abstractive Dialogue Summarization
EMNLP 2025
Multi2: Multi-Agent Test-Time Scalable Framework for Multi-Document Processing
EMNLP 2025
Diversity-Aware Coherence Loss for Improving Neural Topic Models
ACL 2023
Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Models
EMNLP 2023
Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation
EMNLP 2022
DuoRAT: Towards Simpler Text-to-SQL Models
NAACL 2021
T3-Vis: visual analytic for Training and fine-Tuning Transformers in NLP
EMNLP 2021
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
EMNLP 2020
Towards Deep Conversational Recommendations
NeurIPS 2018