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Xiaozhi Wang

31 papers · 2018–2026 · 8 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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+11 more ↓ πŸ—ΊοΈ Taxonomy Completionist (74) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ‘₯ Mega-Team Β· Squad 🀝 Dynamic Duo (24) 🧬 Topic Evolution πŸ”¬ Deep Specialist (13) 🌈 Renaissance Researcher (6) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (159)

Papers

WildReward: Learning Reward Models from In-the-Wild Human Interactions ACL 2026 Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems ACL 2025 LinguaLens: Towards Interpreting Linguistic Mechanisms of Large Language Models via Sparse Auto-Encoder EMNLP 2025 LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks ACL 2025 Precise Localization of Memories: A Fine-grained Neuron-level Knowledge Editing Technique for LLMs ICLR 2025 VerIF: Verification Engineering for Reinforcement Learning in Instruction Following EMNLP 2025 ADELIE: Aligning Large Language Models on Information Extraction EMNLP 2024 Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers ACL 2024 KoLA: Carefully Benchmarking World Knowledge of Large Language Models ICLR 2024 MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation ACL 2024 MAVEN-FACT: A Large-scale Event Factuality Detection Dataset EMNLP 2024 TacoERE: Cluster-aware Compression for Event Relation Extraction COLING 2024 Benchmarking Foundation Models with Language-Model-as-an-Examiner NeurIPS 2023 Emergent Modularity in Pre-trained Transformers ACL 2023 OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding EMNLP 2023 Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction EMNLP 2023 READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises ACL 2023 The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation ACL 2023 COPEN: Probing Conceptual Knowledge in Pre-trained Language Models EMNLP 2022 Finding Skill Neurons in Pre-trained Transformer-based Language Models EMNLP 2022 LEVEN: A Large-Scale Chinese Legal Event Detection Dataset ACL 2022 MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction EMNLP 2022 On Transferability of Prompt Tuning for Natural Language Processing NAACL 2022 Adversarial Language Games for Advanced Natural Language Intelligence AAAI 2021 CLEVE: Contrastive Pre-training for Event Extraction ACL 2021 MAVEN: A Massive General Domain Event Detection Dataset EMNLP 2020 Neural Gibbs Sampling for Joint Event Argument Extraction AACL 2020 Train No Evil: Selective Masking for Task-Guided Pre-Training EMNLP 2020 Adversarial Training for Weakly Supervised Event Detection NAACL 2019 HMEAE: Hierarchical Modular Event Argument Extraction EMNLP 2019 Adversarial Multi-lingual Neural Relation Extraction COLING 2018