Xiaozhi Wang
33 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌍 Conference Polyglot (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13)
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(35)
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(25)
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Conference Pioneer
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Unstoppable
(8)
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Century Club
(32)
Conferences
EMNLP (12)
ACL (10)
COLING (2)
ICLR (2)
IJCNLP (2)
NAACL (2)
AAAI (1)
AACL (1)
NIPS (1)
Top co-authors
Keywords
large language model
(8)
event extraction
(6)
event detection
(6)
pre-trained language model
(5)
event argument extraction
(5)
argument extraction
(4)
information extraction
(4)
benchmark evaluation
(4)
event relation extraction
(3)
neural network
(3)
inductive bia
(2)
reinforcement learning
(2)
reward modeling
(2)
concept hierarchy
(2)
semantic structure
(2)
language model
(2)
transfer learning
(2)
instruction following
(2)
named entity recognition
(2)
contrastive learning
(2)
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
VerIF: Verification Engineering for Reinforcement Learning in Instruction Following
EMNLP 2025
Precise Localization of Memories: A Fine-grained Neuron-level Knowledge Editing Technique for LLMs
ICLR 2025
LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks
ACL 2025
LinguaLens: Towards Interpreting Linguistic Mechanisms of Large Language Models via Sparse Auto-Encoder
EMNLP 2025
Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers
ACL 2024
KoLA: Carefully Benchmarking World Knowledge of Large Language Models
ICLR 2024
MAVEN-FACT: A Large-scale Event Factuality Detection Dataset
EMNLP 2024
ADELIE: Aligning Large Language Models on Information Extraction
EMNLP 2024
MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation
ACL 2024
TacoERE: Cluster-aware Compression for Event Relation Extraction
COLING 2024
Benchmarking Foundation Models with Language-Model-as-an-Examiner
NIPS 2023
READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises
ACL 2023
Emergent Modularity in Pre-trained Transformers
ACL 2023
The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation
ACL 2023
Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction
EMNLP 2023
OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding
EMNLP 2023
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction
EMNLP 2022
Finding Skill Neurons in Pre-trained Transformer-based Language Models
EMNLP 2022
On Transferability of Prompt Tuning for Natural Language Processing
NAACL 2022
LEVEN: A Large-Scale Chinese Legal Event Detection Dataset
ACL 2022
COPEN: Probing Conceptual Knowledge in Pre-trained Language Models
EMNLP 2022
CLEVE: Contrastive Pre-training for Event Extraction
IJCNLP 2021
Adversarial Language Games for Advanced Natural Language Intelligence
AAAI 2021
CLEVE: Contrastive Pre-training for Event Extraction
ACL 2021
Train No Evil: Selective Masking for Task-Guided Pre-Training
EMNLP 2020
Neural Gibbs Sampling for Joint Event Argument Extraction
AACL 2020
MAVEN: A Massive General Domain Event Detection Dataset
EMNLP 2020
HMEAE: Hierarchical Modular Event Argument Extraction
IJCNLP 2019
HMEAE: Hierarchical Modular Event Argument Extraction
EMNLP 2019
Adversarial Training for Weakly Supervised Event Detection
NAACL 2019
Adversarial Multi-lingual Neural Relation Extraction
COLING 2018