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Zhaozhuo Xu

46 papers · 2019–2026 · 10 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.

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+12 more ↓ 🗺️ Taxonomy Completionist (69) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🏆 Grand Slam 🔬 Deep Specialist (19) 🧬 Topic Evolution 🏆 Keyword Champion (2) 🧭 Keyword Pioneer 🤝 Dynamic Duo (15) 🌈 Renaissance Researcher (7) 🔥 Unstoppable · Bronze ❓ The Questioner (2) ⚡ Prolific Year · Prolific 💎 Century Club · Bronze 🗃️ Keyword Collector (223)

Papers

Collision to Cognition: Hash-Driven Graph Construction for Efficient RAG ACL 2026 Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks ACL 2026 Query-Aware Knowledge Retrieval via Hyperbolic Structuring ACL 2026 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 Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory UAI 2025 LLMs and Copyright Risks: Benchmarks and Mitigation Approaches NAACL 2025 Position: Iterative Online-Offline Joint Optimization is Needed to Manage Complex LLM Copyright Risks ICML 2025 Profiling LLM’s Copyright Infringement Risks under Adversarial Persuasive Prompting EMNLP 2025 Rescorla-Wagner Steering of LLMs for Undesired Behaviors over Disproportionate Inappropriate Context EMNLP 2025 Retrieval Augmented Zero-Shot Enzyme Generation for Specified Substrate ICML 2025 Sketch to Adapt: Fine-Tunable Sketches for Efficient LLM Adaptation ICML 2025 Taming Language Models for Text-attributed Graph Learning with Decoupled Aggregation ACL 2025 Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly EMNLP 2025 ZEN: Empowering Distributed Training with Sparsity-driven Data Synchronization OSDI 2025 Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity ICLR 2025 Do LLMs Know to Respect Copyright Notice? EMNLP 2024 FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making NeurIPS 2024 GNNs Also Deserve Editing, and They Need It More Than Once ICML 2024 In Defense of Structural Sparse Adapters for Concurrent LLM Serving EMNLP 2024 KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache ICML 2024 Knowledge Graphs Can be Learned with Just Intersection Features ICML 2024 KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches EMNLP 2024 KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization NeurIPS 2024 NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention NeurIPS 2024 QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware EMNLP 2024 ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency EMNLP 2024 SIRIUS : Contexual Sparisty with Correction for Efficient LLMs NeurIPS 2024 Soft Prompt Recovers Compressed LLMs, Transferably ICML 2024 TensorOpera Router: A Multi-Model Router for Efficient LLM Inference EMNLP 2024 Token-wise Influential Training Data Retrieval for Large Language Models ACL 2024 TVE: Learning Meta-attribution for Transferable Vision Explainer ICML 2024 A Tale of Two Efficient Value Iteration Algorithms for Solving Linear MDPs with Large Action Space AISTATS 2023 Graph Self-supervised Learning via Proximity Distribution Minimization UAI 2023 One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning NeurIPS 2023 Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time NeurIPS 2023 Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model NeurIPS 2023 DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks ICML 2022 Structural Contrastive Representation Learning for Zero-shot Multi-label Text Classification EMNLP 2022 Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures NeurIPS 2021 Locality Sensitive Teaching NeurIPS 2021 MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training ICLR 2021 Raw Nav-merge Seismic Data to Subsurface Properties with MLP based Multi-Modal Information Unscrambler NeurIPS 2021 Möbius Transformation for Fast Inner Product Search on Graph NeurIPS 2019 On Efficient Retrieval of Top Similarity Vectors EMNLP 2019