Yijia Zhang
8 papers · 2024–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (33) 👥 Mega-Team · Squad 🌈 Renaissance Researcher (5)
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Learning Types · Deep Learning
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(3)
Optimization & Theory · Machine Learning
(3)
Computer Vision
(2)
Healthcare & Medicine
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Keywords
large language model
(4)
weight quantization
(2)
model compression
(2)
zero-shot learning
(2)
language modeling
(1)
medical imaging
(1)
text classification
(1)
in-context learning
(1)
transfer learning
(1)
named entity recognition
(1)
stance detection
(1)
efficient inference
(1)
token efficiency
(1)
contextual modeling
(1)
state space model
(1)
generative model
(1)
diffusion model
(1)
drug design
(1)
molecular generation
(1)
knowledge distillation
(1)
Papers
A Multi-Agent LLM Framework for Multi-Domain Low-Resource In-Context NER via Knowledge Retrieval, Disambiguation and Reflective Analysis
AAAI 2026
MoSs: Mixture of Scales for Efficient High-Resolution Autoregressive Image Generation
AAAI 2026
LLM-Driven Implicit Target Augmentation and Fine-Grained Contextual Modeling for Zero-Shot and Few-Shot Stance Detection
EMNLP 2025
RRG-Mamba: Efficient Radiology Report Generation with State Space Model
IJCAI 2025
AFPQ: Asymmetric Floating Point Quantization for LLMs
ACL 2024
BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation
ACL 2024
CharacterGLM: Customizing Social Characters with Large Language Models
EMNLP 2024
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design
NeurIPS 2024