Yuzhuang Xu
11 papers · 2024–2026 · 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 (11) π Renaissance Researcher (5)
πΊοΈ
Taxonomy Completionist
(26)
ποΈ
Keyword Collector
(54)
Conferences
ACL (5)
AAAI (2)
NIPS (2)
COLING (1)
EMNLP (1)
Top co-authors
Research topics
Keywords
large language model
(5)
model compression
(3)
cache eviction
(2)
weight quantization
(2)
key-value cache
(2)
language model
(2)
visual question answering
(1)
embedding learning
(1)
model quantization
(1)
neural machine translation
(1)
multimodal learning
(1)
semantic analysis
(1)
active perception
(1)
efficient inference
(1)
cross-lingual transfer
(1)
domain adaptation
(1)
query optimization
(1)
in-context learning
(1)
mixture of expert
(1)
singular value decomposition
(1)
Papers
CAMERA: Multi-Matrix Joint Compression for MoE Models via Micro-Expert Redundancy Analysis
AAAI 2026
Judge Q: Trainable Queries for Optimized Information Retention in KV Cache Eviction
AAAI 2026
ArcLight: A Lightweight LLM Inference Architecture for Many-Core CPUs
ACL 2026
HuoziIME: An On-Device LLM-Enhanced Input Method for Deep Personalization
ACL 2026
Perspective Transition of Large Language Models for Solving Subjective Tasks
ACL 2025
ActiView: Evaluating Active Perception Ability for Multimodal Large Language Models
ACL 2025
Lookahead Q-Cache: Achieving More Consistent KV Cache Eviction via Pseudo Query
EMNLP 2025
Pluggable Neural Machine Translation Models via Memory-augmented Adapters
COLING 2024
OneBit: Towards Extremely Low-bit Large Language Models
NIPS 2024
UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset
ACL 2024
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models
NIPS 2024