Zixiao Zhu

9 papers · 2024–2026 · 5 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.

Achievements

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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird ⚡ Prolific Year · Productive

Venues

NAACL (3) ACL (2) EACL (2) ICLR (1) NeurIPS (1)

Top co-authors

Hanzhang Zhou (9) Kezhi Mao (9) Zijian Feng (9) Junlang Qian (6) Tianjiao Li (1) Lee Onn Mak (1) Chua Jia Jim Deryl (1) Gee Wah Ng (1) Lu Hui (1) Zepeng Zhai (1)

Research topics

Natural Language Processing (7) Artificial Intelligence (6) Machine Learning (5) Core AI (5) Resources & Methods (4) Learning Types (3) Applications (2) Core Methods (2) Deep Learning (1) Generation (1) Learning Paradigms (1) Models (1) Optimization & Theory (1)

Keywords

in-context learning (3) large language model (2) model interpretability (2) text classification (2) prompt-based learning (1) explanation generation (1) event argument extraction (1) sample selection (1) bias mitigation (1) language model (1) feed-forward network (1) prompt optimization (1) prompt sensitivity (1) lightweight model (1) feedforward neural network (1) analogical reasoning (1) controllable text generation (1) attribute control (1) controlled text generation (1) learning-free approach (1)

Papers

Rethinking Prompt Optimizers: From Prompt Merits to Optimization EACL 2026 Beyond the Next Token: Towards Prompt-Robust Zero-Shot Classification via Efficient Multi-Token Prediction NAACL 2025 Logit Separability-Driven Samples and Multiple Class-Related Words Selection for Advancing In-Context Learning NAACL 2025 EDEntail: An Entailment-based Few-shot Text Classification with Extensional Definition NAACL 2024 FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation ACL 2024 LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction ACL 2024 PromptExplainer: Explaining Language Models through Prompt-based Learning EACL 2024 UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation NeurIPS 2024 Unveiling and Manipulating Prompt Influence in Large Language Models ICLR 2024