Raymond Li
13 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π Conference Polyglot (5) π§ Keyword Pioneer π Cross-Pollinator (13)
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Cross-Pollinator
(13)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(41)
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Keyword Champion
(2)
π€
Dynamic Duo
(10)
π§¬
Topic Evolution
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Trend Setter
ποΈ
Keyword Collector
(76)
β‘
Prolific Year
(6)
π
Century Club
(13)
Conferences
EMNLP (7)
ACL (3)
COLING (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
large language model
(3)
in-context learning
(3)
extractive summarization
(2)
hidden state
(2)
abstractive summarization
(2)
parameter-efficient fine-tuning
(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)
mixture of expert
(1)
vision language model
(1)
variational autoencoder
(1)
recommendation system
(1)
variational inference
(1)
Papers
CEMTM: Contextual Embedding-based Multimodal Topic Modeling
EMNLP 2025
Hierarchical Attention Adapter for Abstractive Dialogue Summarization
EMNLP 2025
Delta-KNN: Improving Demonstration Selection in In-Context Learning for Alzheimerβs Disease Detection
ACL 2025
Explicit Bayesian Inference to Uncover the Latent Themes of Large Language Models
ACL 2025
DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning
COLING 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
NIPS 2018