Zhaozhuo Xu

44 papers · 2019–2025 · 11 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (11) 🏃 Academic Marathon (6) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (60) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (7) 🌈 Renaissance Researcher (8) 🤝 Dynamic Duo (15) 🏆 Keyword Champion 🏆 Grand Slam 🔬 Deep Specialist (16) 🧬 Topic Evolution ⚡ Prolific Year (16) ❓ The Questioner (2) 🗃️ Keyword Collector (165) 🔥 Unstoppable (5) 💎 Century Club (44)

Conferences

EMNLP (12) NIPS (11) ICML (9) ACL (2) ICLR (2) NAACL (2) UAI (2) AAAI (1) AISTATS (1) IJCNLP (1) OSDI (1)

Top co-authors

Anshumali Shrivastava (15) Zirui Liu (11) Denghui Zhang (8) Shaochen Zhong (7) Kaixiong Zhou (7) Beidi Chen (6) Xia Hu (6) Tianyi Zhang (5) Zhao Song (4) Vipin Chaudhary (4)

Research topics

Keywords

large language model (11) model compression (6) language model (5) maximum inner product search (5) inference optimization (3) representation learning (3) memory efficiency (3) kv cache compression (2) influence function (2) kv cache (2) contrastive learning (2) risk management (2) efficient inference (2) inference efficiency (2) approximate nearest neighbor (2) computational efficiency (2) responsible ai (2) model serving (2) efficient computing (2) ai safety (2)

Papers

Retrieval Augmented Zero-Shot Enzyme Generation for Specified Substrate ICML 2025

Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity ICLR 2025

Profiling LLM’s Copyright Infringement Risks under Adversarial Persuasive Prompting EMNLP 2025

Sketch to Adapt: Fine-Tunable Sketches for Efficient LLM Adaptation ICML 2025

Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory UAI 2025

ZEN: Empowering Distributed Training with Sparsity-driven Data Synchronization OSDI 2025

LLMs and Copyright Risks: Benchmarks and Mitigation Approaches NAACL 2025

ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Party LLM Data Valuation NAACL 2025

Compression-Aware Computing for Scalable and Sustainable AI AAAI 2025

DEL-ToM: Inference-Time Scaling for Theory-of-Mind Reasoning via Dynamic Epistemic Logic EMNLP 2025

Rescorla-Wagner Steering of LLMs for Undesired Behaviors over Disproportionate Inappropriate Context EMNLP 2025

Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly EMNLP 2025

Position: Iterative Online-Offline Joint Optimization is Needed to Manage Complex LLM Copyright Risks ICML 2025

Taming Language Models for Text-attributed Graph Learning with Decoupled Aggregation ACL 2025

Soft Prompt Recovers Compressed LLMs, Transferably ICML 2024

KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization NIPS 2024

SIRIUS : Contexual Sparisty with Correction for Efficient LLMs NIPS 2024

NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention NIPS 2024

FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making NIPS 2024

Token-wise Influential Training Data Retrieval for Large Language Models ACL 2024

Do LLMs Know to Respect Copyright Notice? EMNLP 2024

ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency EMNLP 2024

TensorOpera Router: A Multi-Model Router for Efficient LLM Inference 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

Knowledge Graphs Can be Learned with Just Intersection Features ICML 2024

KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache ICML 2024

TVE: Learning Meta-attribution for Transferable Vision Explainer ICML 2024

GNNs Also Deserve Editing, and They Need It More Than Once ICML 2024

A Tale of Two Efficient Value Iteration Algorithms for Solving Linear MDPs with Large Action Space AISTATS 2023

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model NIPS 2023

Graph Self-supervised Learning via Proximity Distribution Minimization UAI 2023

One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning NIPS 2023

Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time NIPS 2023

DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks ICML 2022

Structural Contrastive Representation Learning for Zero-shot Multi-label Text Classification EMNLP 2022

Locality Sensitive Teaching NIPS 2021

Raw Nav-merge Seismic Data to Subsurface Properties with MLP based Multi-Modal Information Unscrambler NIPS 2021

MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training ICLR 2021

Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures NIPS 2021

On Efficient Retrieval of Top Similarity Vectors IJCNLP 2019

On Efficient Retrieval of Top Similarity Vectors EMNLP 2019

Möbius Transformation for Fast Inner Product Search on Graph NIPS 2019