Xiaofeng Hou
6 papers · 2020–2026 · 4 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 ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(17)
Top co-authors
Research topics
Artificial Intelligence
(5)
Deep Learning
(4)
Core AI
(4)
Machine Learning
(3)
Architectures
(3)
Natural Language Processing
(2)
Application Areas
(2)
Optimization & Theory · Deep Learning
(2)
Techniques
(2)
Generation
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory · Machine Learning
(1)
Resources & Methods
(1)
Keywords
large language model
(4)
chain-of-thought reasoning
(3)
attention mechanism
(2)
attention modeling
(1)
computational efficiency
(1)
early exit
(1)
redundancy reduction
(1)
label aggregation
(1)
crowd sourcing
(1)
machine teaching
(1)
parameter-efficient fine-tuning
(1)
inference efficiency
(1)
kv cache compression
(1)
low-rank adapter
(1)
computational budget
(1)
graph neural network
(1)
adaptive precision
(1)
adaptive teaching
(1)
entropy-based confidence
(1)
fine-grained concept
(1)
Papers
Adaptive Spatial and Temporal Redundancy Optimization for Efficient Reasoning in Large Language Models
ACL 2026
AdaReason: Progressive Training of Multi-LoRA Adapters for Budget-Adaptive Language Reasoning Models
AAAI 2026
Aggregating Crowd of LLMs for Cost-Effective Data Annotation
EACL 2026
DesireKV: Decoupling Sensitivity and Importance for Reasoning-Aware KV Cache Compression
AAAI 2026
LoRAExit: Empowering Dynamic Modulation of LLMs in Resource-limited Settings using Low-rank Adapters
EMNLP 2024
Fine-Grained Machine Teaching with Attention Modeling
AAAI 2020