Zirui Liu
43 papers · 2020–2026 · 12 conferences · across top CS/AI conferences
Achievements
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(11)
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Dynamic Duo
(24)
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(11)
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(40)
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(15)
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Keyword Collector
(159)
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The Questioner
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Unstoppable
(6)
Conferences
ICML (10)
EMNLP (9)
NIPS (8)
ICLR (4)
AAAI (3)
ACL (2)
INTERSPEECH (2)
CVPR (1)
ICCV (1)
IJCAI (1)
NAACL (1)
NSDI (1)
Top co-authors
Research topics
Keywords
large language model
(9)
model compression
(6)
graph neural network
(4)
reinforcement learning
(2)
prompt compression
(2)
feature interaction
(2)
backdoor attack
(2)
structured pruning
(2)
syllable onset
(2)
memory efficiency
(2)
neural network training
(1)
item response theory
(1)
privacy preservation
(1)
model merging
(1)
data augmentation
(1)
adversarial robustness
(1)
attention mechanism
(1)
computational efficiency
(1)
logical reasoning
(1)
semi-supervised learning
(1)
Papers
How Memory Management Impacts LLM Agents: An Empirical Study of Experience-Following Behavior
ACL 2026
From Hypothesis to Premises: LLM-based Backward Logical Reasoning with Selective Symbolic Translation
AAAI 2026
Re3: Relevance & Recency Retrieval for Mitigating Temporal Hallucination
ACL 2026
AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science
EMNLP 2025
LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem
EMNLP 2025
Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages
AAAI 2025
am-ELO: A Stable Framework for Arena-based LLM Evaluation
ICML 2025
Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity
ICLR 2025
From Commands to Prompts: LLM-based Semantic File System for AIOS
ICLR 2025
Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding
ICML 2025
Flexible Group Count Enables Hassle-Free Structured Pruning
CVPR 2025
Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly
EMNLP 2025
Accelerating LLM Reasoning via Early Rejection with Partial Reward Modeling
EMNLP 2025
Learning to Compress Prompt in Natural Language Formats
NAACL 2024
Knowledge Graphs Can be Learned with Just Intersection Features
ICML 2024
LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning
ICML 2024
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
ICML 2024
TVE: Learning Meta-attribution for Transferable Vision Explainer
ICML 2024
Soft Prompt Recovers Compressed LLMs, Transferably
ICML 2024
GNNs Also Deserve Editing, and They Need It More Than Once
ICML 2024
Gradient Rewiring for Editable Graph Neural Network Training
NIPS 2024
Computerized Adaptive Testing via Collaborative Ranking
NIPS 2024
Chasing Fairness in Graphs: A GNN Architecture Perspective
AAAI 2024
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
EMNLP 2024
ARM: An Alignment-and-Replacement Module for Chinese Spelling Check Based on LLMs
EMNLP 2024
QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware
EMNLP 2024
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches
EMNLP 2024
In Defense of Structural Sparse Adapters for Concurrent LLM Serving
EMNLP 2024
DIVISION: Memory Efficient Training via Dual Activation Precision
ICML 2023
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model
NIPS 2023
One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning
NIPS 2023
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots
NIPS 2023
RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations
ICML 2023
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking
NIPS 2022
An Information Fusion Approach to Learning with Instance-Dependent Label Noise
ICLR 2022
Table2Graph: Transforming Tabular Data to Unified Weighted Graph
IJCAI 2022
EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression
ICLR 2022
DreamShard: Generalizable Embedding Table Placement for Recommender Systems
NIPS 2022
LightGuardian: A Full-Visibility, Lightweight, In-band Telemetry System Using Sketchlets
NSDI 2021
DivAug: Plug-In Automated Data Augmentation With Explicit Diversity Maximization
ICCV 2021
Segmental Alignment of English Syllables with Singleton and Cluster Onsets
INTERSPEECH 2021
Detecting Interactions from Neural Networks via Topological Analysis
NIPS 2020
Coarticulation as Synchronised Sequential Target Approximation: An EMA Study
INTERSPEECH 2020