Kaixin Wu
7 papers · 2021–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Cross-Pollinator (10) π Academic Marathon (5)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(21)
π£
Hot Topic Early Bird
Conferences
COLING (2)
EMNLP (2)
ACL (1)
EACL (1)
NAACL (1)
Top co-authors
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
Towards Boosting LLMs-driven Relevance Modeling with Progressive Retrieved Behavior-augmented Prompting
COLING 2025
GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models
ACL 2025
CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search
NAACL 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