Wanjun Zhong
32 papers · 2020–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (10)
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Renaissance Researcher
(7)
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Conference Polyglot
(8)
🏃
Academic Marathon
(5)
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Dynamic Duo
(20)
🧬
Topic Evolution
🏆
Keyword Champion
(2)
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Keyword Collector
(138)
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Trend Setter
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Prolific Year
(7)
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Unstoppable
(6)
💎
Century Club
(32)
Conferences
ACL (15)
EMNLP (5)
AAAI (3)
IJCNLP (3)
NAACL (3)
ICLR (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
large language model
(7)
graph neural network
(4)
benchmark evaluation
(4)
question answering
(4)
logical reasoning
(4)
text classification
(3)
language model
(3)
heterogeneous graph
(3)
few-shot learning
(3)
fact checking
(2)
contrastive learning
(2)
fake news detection
(2)
knowledge extraction
(2)
dependency tree
(2)
long-term memory
(2)
pre-trained language model
(2)
text generation
(2)
data augmentation
(2)
knowledge base
(2)
pre-trained model
(2)
Papers
G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model
ICLR 2025
Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning Catalyst
ACL 2025
Empowering Self-Learning of LLMs: Inner Knowledge Explicitation as a Catalyst
AAAI 2025
Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
AAAI 2025
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
NAACL 2024
MemoryBank: Enhancing Large Language Models with Long-Term Memory
AAAI 2024
FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
ACL 2024
Learning to Edit: Aligning LLMs with Knowledge Editing
ACL 2024
Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios
ACL 2024
Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning
ACL 2024
Concise and Precise Context Compression for Tool-Using Language Models
ACL 2024
PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Fusion in Question Answering
ACL 2024
CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models
EMNLP 2024
Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers
ACL 2023
CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding
ACL 2023
Analytical Reasoning of Text
NAACL 2022
Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering
IJCAI 2022
ProQA: Structural Prompt-based Pre-training for Unified Question Answering
NAACL 2022
Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA
EMNLP 2022
LogiGAN: Learning Logical Reasoning via Adversarial Pre-training
NIPS 2022
Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text
ACL 2022
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach
EMNLP 2021
UserAdapter: Few-Shot User Learning in Sentiment Analysis
IJCNLP 2021
Syntax-Enhanced Pre-trained Model
IJCNLP 2021
Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge
ACL 2021
Syntax-Enhanced Pre-trained Model
ACL 2021
UserAdapter: Few-Shot User Learning in Sentiment Analysis
ACL 2021
Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge
IJCNLP 2021
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network
ACL 2020
Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection
EMNLP 2020
Reasoning Over Semantic-Level Graph for Fact Checking
ACL 2020
Neural Deepfake Detection with Factual Structure of Text
EMNLP 2020