Monica Xiao Cheng
7 papers · 2024–2026 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(19)
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Hot Topic Early Bird
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Keyword Champion
(2)
Top co-authors
Research topics
Machine Learning
(5)
Natural Language Processing
(5)
Resources & Methods
(5)
Artificial Intelligence
(3)
Deep Learning
(3)
Core AI
(3)
Optimization & Theory · Machine Learning
(3)
Applications
(2)
Core Methods
(2)
Models
(2)
Application Areas
(1)
Generation
(1)
Learning Types
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
large language model
(4)
retrieval-augmented generation
(2)
knowledge editing
(2)
parameter-efficient fine-tuning
(2)
knowledge filtering
(2)
representation learning
(2)
instruction optimization
(1)
language model fine-tuning
(1)
user personalization
(1)
policy update
(1)
open-domain question answering
(1)
context compression
(1)
query generation
(1)
attention pattern
(1)
sparse low-rank adaptation
(1)
matrix sparsity
(1)
query generation blending
(1)
noisy knowledge retrieval
(1)
external knowledge augmentation
(1)
black-box llm
(1)
Papers
Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMs
ACL 2026
Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR
ACL 2026
Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs
EMNLP 2025
Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective
NAACL 2025
Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning
ICLR 2025
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering
EMNLP 2024
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning
EMNLP 2024