Jianing Wang

Beyond Single View: A Comprehensive Benchmark for Medical Multimodal Large Language Models on Multi-Image Understanding ACL 2026 MoEA-Net: Modality-Incremental Expert Aggregation Network for Retinal Prognostic Prediction AAAI 2026 Revisiting 2D Foundation Models for Scalable 3D Medical Image Classification CVPR 2026 TrendFact: A Benchmark Towards Hotspot Perception in Automatic Fact-Checking ACL 2026 Do Large Language Models excel in Complex Logical Reasoning with Formal Language? EMNLP 2025 HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator CVPR 2025 LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning ACL 2025 OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models ICLR 2025 PINNsAgent: Automated PDE Surrogation with Large Language Models ICML 2025 Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning EMNLP 2025 Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization AAAI 2025 The Role of Visual Modality in Multimodal Mathematical Reasoning: Challenges and Insights ACL 2025 Boosting Language Models Reasoning with Chain-of-Knowledge Prompting ACL 2024 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 TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills COLING 2024 Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation EMNLP 2023 Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making NeurIPS 2023 Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning EMNLP 2023 Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation EMNLP 2023 Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding EMNLP 2023 Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling AAAI 2023 When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario ACL 2023 XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding ACL 2023 EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing 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 Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training EMNLP 2022 SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition 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 NeurIPS 2020