Peiyu Liu
17 papers · 2021–2026 · 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
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πΊοΈ Taxonomy Completionist (40) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Venues
Top co-authors
Research topics
Artificial Intelligence
(12)
Machine Learning
(12)
Core AI
(11)
Application Areas
(9)
Deep Learning
(7)
Natural Language Processing
(5)
Core Methods
(4)
Learning Types
(4)
Optimization & Theory Β· Deep Learning
(4)
Generation
(3)
Models
(3)
Optimization & Theory Β· Machine Learning
(3)
Computer Science
(2)
Applications
(2)
Architectures
(2)
Keywords
model compression
(6)
pre-trained language model
(4)
tensor decomposition
(4)
parameter-efficient fine-tuning
(3)
matrix product operator
(3)
large language model
(3)
knowledge distillation
(2)
retrieval-augmented generation
(2)
mixture of expert
(2)
matrix factorization
(1)
neural network optimization
(1)
semantic parsing
(1)
efficient computing
(1)
transfer learning
(1)
model quantization
(1)
chain-of-thought reasoning
(1)
sparse model
(1)
in-context learning
(1)
contrastive learning
(1)
knowledge graph
(1)
Papers
FastV-RAG: Towards Fast and Fine-Grained Video QA with Retrieval-Augmented Generation
ACL 2026
Selective Knowledge Distillation: Fusing LLM Semantic Strengths with DNN Efficiency for Binary Code Similarity Detection
ACL 2026
Squrve: A Unified and Modular Framework for Complex Real-World Text-to-SQL Tasks
ACL 2026
Intent Contrastive Learning Based on Multi-view Augmentation for Sequential Recommendation
COLING 2025
LinkAlign: Scalable Schema Linking for Real-World Large-Scale Multi-Database Text-to-SQL
EMNLP 2025
Masks Can be Learned as an Alternative to Experts
ACL 2025
Socratic Style Chain-of-Thoughts Help LLMs to be a Better Reasoner
ACL 2025
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study
COLING 2024
Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank
COLING 2024
HyperMR: Hyperbolic Hypergraph Multi-hop Reasoning for Knowledge-based Visual Question Answering
COLING 2024
Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization
NAACL 2024
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression
ACL 2024
CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code
EMNLP 2023
Enhancing Scalability of Pre-trained Language Models via Efficient Parameter Sharing
EMNLP 2023
Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization
ACL 2023
Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models
COLING 2022
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators
ACL 2021