Peiyu Liu
18 papers · 2021–2026 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
π Cross-Pollinator (10) π Renaissance Researcher (6) π Conference Polyglot (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (37)
πΊοΈ
Taxonomy Completionist
(37)
π§
Keyword Pioneer
π
Century Club
(15)
π
Trend Setter
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(65)
β‘
Prolific Year
(5)
Conferences
ACL (8)
COLING (5)
EMNLP (3)
IJCNLP (1)
NAACL (1)
Top co-authors
Research topics
Keywords
model compression
(7)
tensor decomposition
(5)
pre-trained language model
(4)
matrix product operator
(4)
large language model
(3)
parameter efficient fine-tuning
(3)
mixture of expert
(2)
knowledge distillation
(2)
parameter-efficient fine-tuning
(2)
retrieval-augmented generation
(2)
matrix factorization
(1)
neural network optimization
(1)
efficient computing
(1)
semantic parsing
(1)
transfer learning
(1)
model quantization
(1)
chain-of-thought reasoning
(1)
sparse model
(1)
in-context learning
(1)
contrastive learning
(1)
Papers
Squrve: A Unified and Modular Framework for Complex Real-World Text-to-SQL Tasks
ACL 2026
Selective Knowledge Distillation: Fusing LLM Semantic Strengths with DNN Efficiency for Binary Code Similarity Detection
ACL 2026
FastV-RAG: Towards Fast and Fine-Grained Video QA with Retrieval-Augmented Generation
ACL 2026
Intent Contrastive Learning Based on Multi-view Augmentation for Sequential Recommendation
COLING 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
LinkAlign: Scalable Schema Linking for Real-World Large-Scale Multi-Database Text-to-SQL
EMNLP 2025
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
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study
COLING 2024
Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization
ACL 2023
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
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
IJCNLP 2021
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators
ACL 2021