Sheng-Chieh Lin
9 papers · 2020–2025 · 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
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (30) 🐣 Hot Topic Early Bird
🌈
Renaissance Researcher
(5)
Top co-authors
Research topics
Natural Language Processing
(7)
Machine Learning
(6)
Applications · Natural Language Processing
(6)
Artificial Intelligence
(5)
Application Areas
(5)
Deep Learning
(4)
Core AI
(4)
Computer Science
(3)
Applications · Computer Science
(3)
Core Methods
(3)
Learning Types · Deep Learning
(3)
Learning Types · Machine Learning
(2)
Resources & Methods
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Keywords
dense retrieval
(5)
information retrieval
(4)
multimodal retrieval
(2)
knowledge distillation
(2)
late interaction
(2)
dense representation
(2)
data augmentation
(1)
document retrieval
(1)
reinforcement learning
(1)
cross-modal retrieval
(1)
passage retrieval
(1)
conversational search
(1)
query reformulation
(1)
efficient computing
(1)
knowledge extraction
(1)
instruction tuning
(1)
multimodal learning
(1)
query embedding
(1)
vision-language model
(1)
zero-shot learning
(1)
Papers
MM-EMBED: UNIVERSAL MULTIMODAL RETRIEVAL WITH MULTIMODAL LLMS
ICLR 2025
FLAME : Factuality-Aware Alignment for Large Language Models
NeurIPS 2024
Unifying Multimodal Retrieval via Document Screenshot Embedding
EMNLP 2024
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval
ACL 2023
How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval
EMNLP 2023
mAggretriever: A Simple yet Effective Approach to Zero-Shot Multilingual Dense Retrieval
EMNLP 2023
Contextualized Query Embeddings for Conversational Search
EMNLP 2021
In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval
ACL 2021
Designing Templates for Eliciting Commonsense Knowledge from Pretrained Sequence-to-Sequence Models
COLING 2020