Weilin Zhao
14 papers · 2022–2026 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (36) π€ Dynamic Duo (14)
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Venues
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Research topics
Machine Learning
(10)
Artificial Intelligence
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Core AI
(9)
Deep Learning
(8)
Application Areas
(8)
Natural Language Processing
(6)
Optimization & Theory Β· Deep Learning
(6)
Optimization & Theory Β· Machine Learning
(5)
Resources & Methods
(5)
Generation
(3)
Learning Types
(3)
Techniques
(2)
Computer Science
(1)
Computer Vision
(1)
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(1)
Keywords
large language model
(6)
inference acceleration
(3)
model compression
(2)
sequence parallelism
(2)
model quantization
(2)
memory optimization
(2)
draft verification
(2)
pre-trained language model
(2)
approximate attention
(2)
distributed training
(2)
text generation
(1)
model fusion
(1)
instruction tuning
(1)
distributed inference
(1)
model parallelism
(1)
knowledge distillation
(1)
efficient computing
(1)
vocabulary compression
(1)
prompt learning
(1)
backdoor defense
(1)
Papers
APB-V: Accelerating Long-Video Understanding via Sequence-Parallelism-aware Approximate Attention
ACL 2026
APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs
ACL 2025
FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling
ACL 2025
Fusing Highly Specialized Language Models for Comprehensive Expertise
ACL 2025
Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training
NAACL 2025
Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models
EMNLP 2024
Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative Decoding
EMNLP 2024
Predicting Emergent Abilities with Infinite Resolution Evaluation
ICLR 2024
H3T: Efficient Integration of Memory Optimization and Parallelism for Large-scale Transformer Training
NeurIPS 2023
OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models
ACL 2023
BMCook: A Task-agnostic Compression Toolkit for Big Models
EMNLP 2022
BMInf: An Efficient Toolkit for Big Model Inference and Tuning
ACL 2022
Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models
NeurIPS 2022
OpenPrompt: An Open-source Framework for Prompt-learning
ACL 2022