Kaixin Wu
7 papers · 2021–2026 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Silver
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Silver
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Taxonomy Completionist
(19)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(6)
Natural Language Processing
(6)
Applications
(5)
Application Areas
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Core AI
(2)
Learning Types
(2)
Models
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Knowledge & Reasoning
(1)
Architectures
(1)
Generation
(1)
Learning Paradigms
(1)
Keywords
large language model
(3)
relevance modeling
(2)
retrieval-augmented generation
(2)
neural machine translation
(2)
model compression
(2)
knowledge graph
(1)
prompt engineering
(1)
machine translation
(1)
model adaptation
(1)
reading comprehension
(1)
kernel fusion
(1)
domain knowledge
(1)
question answering
(1)
data selection
(1)
privacy protection
(1)
knowledge graph question answering
(1)
inference optimization
(1)
inference efficiency
(1)
continual pre-training
(1)
parameter-efficient fine-tuning
(1)
Papers
GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection
EACL 2026
CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search
NAACL 2025
GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models
ACL 2025
Towards Boosting LLMs-driven Relevance Modeling with Progressive Retrieved Behavior-augmented Prompting
COLING 2025
Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering
EMNLP 2024
Speeding up Transformer Decoding via an Attention Refinement Network
COLING 2022
TenTrans High-Performance Inference Toolkit for WMT2021 Efficiency Task
EMNLP 2021