Jianing Wang
31 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (6)
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Cross-Pollinator
(6)
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Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(72)
π
Grand Slam
π€
Dynamic Duo
(14)
ποΈ
Keyword Collector
(134)
β
The Questioner
π
Century Club
(28)
π₯
Unstoppable
(6)
β‘
Prolific Year
(8)
Conferences
EMNLP (13)
ACL (8)
AAAI (3)
NIPS (2)
COLING (1)
CVPR (1)
ICLR (1)
ICML (1)
NAACL (1)
Top co-authors
Keywords
few-shot learning
(7)
large language model
(6)
text classification
(4)
contrastive learning
(4)
knowledge base
(4)
bayesian neural network
(3)
knowledge distillation
(3)
masked language modeling
(3)
monte carlo dropout
(3)
chain of thought
(3)
uncertainty estimation
(3)
semi-supervised learning
(2)
multimodal large language model
(2)
transfer learning
(2)
low-resource learning
(2)
prompt engineering
(2)
mathematical reasoning
(2)
named entity recognition
(2)
in-context learning
(2)
logical reasoning
(2)
Papers
TrendFact: A Benchmark Towards Hotspot Perception in Automatic Fact-Checking
ACL 2026
MoEA-Net: Modality-Incremental Expert Aggregation Network for Retinal Prognostic Prediction
AAAI 2026
Beyond Single View: A Comprehensive Benchmark for Medical Multimodal Large Language Models on Multi-Image Understanding
ACL 2026
PINNsAgent: Automated PDE Surrogation with Large Language Models
ICML 2025
Do Large Language Models excel in Complex Logical Reasoning with Formal Language?
EMNLP 2025
Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning
EMNLP 2025
OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models
ICLR 2025
The Role of Visual Modality in Multimodal Mathematical Reasoning: Challenges and Insights
ACL 2025
LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning
ACL 2025
HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator
CVPR 2025
Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization
AAAI 2025
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment
ACL 2024
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning
NAACL 2024
Boosting Language Models Reasoning with Chain-of-Knowledge Prompting
ACL 2024
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills
COLING 2024
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding
EMNLP 2023
XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding
ACL 2023
Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation
EMNLP 2023
Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning
EMNLP 2023
When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario
ACL 2023
Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making
NIPS 2023
Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling
AAAI 2023
Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation
EMNLP 2023
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition
EMNLP 2022
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering
EMNLP 2022
Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding
EMNLP 2022
EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing
EMNLP 2022
Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training
EMNLP 2022
Towards Unified Prompt Tuning for Few-shot Text Classification
EMNLP 2022
TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification
EMNLP 2021
Non-Crossing Quantile Regression for Distributional Reinforcement Learning
NIPS 2020