Jing Ma

CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models AAAI 2026 Class-Aware Active Annotation in Federated Semi-Supervised Learning for Medical Image Classification AAAI 2026 Ranking Reasoning LLMs under Test-Time Scaling ACL 2026 Natural-Language Policies to Executable Decisions: An Interpretable Large Language Model Framework ACL 2026 REFLEX: Self-Refining Explainable Fact-Checking via Verdict-Anchored Style Control ACL 2026 Breaking the Adversarial Robustness-Performance Trade-off in Text Classification via Manifold Purification AAAI 2026 Certified Causal Defense with Generalizable Robustness AAAI 2025 Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models AAAI 2025 Explainable Ethical Assessment on Human Behaviors by Generating Conflicting Social Norms AACL 2025 MemeArena: Automating Context-Aware Unbiased Evaluation of Harmfulness Understanding for Multimodal Large Language Models EMNLP 2025 MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique EMNLP 2025 Tree-of-Evolution: Tree-Structured Instruction Evolution for Code Generation in Large Language Models ACL 2025 FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models ACL 2025 AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness ACL 2025 Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models ACL 2025 SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing LLMs ACL 2025 ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series ACL 2025 CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention ACL 2025 CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation ACL 2025 Invariant Shape Representation Learning for Image Classification WACV 2025 Causal Inference with Large Language Model: A Survey NAACL 2025 CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding? COLING 2025 Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers AAAI 2025 Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables ICLR 2025 VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation CVPR 2025 GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design NAACL 2025 ScratchEval: Are GPT-4o Smarter than My Child? Evaluating Large Multimodal Models with Visual Programming Challenges NAACL 2025 Explainable Ethical Assessment on Human Behaviors by Generating Conflicting Social Norms IJCNLP 2025 PTTA: Purifying Malicious Samples for Test-Time Model Adaptation ICML 2025 Towards Low-Resource Harmful Meme Detection with LMM Agents EMNLP 2024 Decoding Ableism in Large Language Models: An Intersectional Approach EMNLP 2024 When Causal Inference Meets Graph Machine Learning AAAI 2024 WizardCoder: Empowering Code Large Language Models with Evol-Instruct ICLR 2024 CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models ACL 2024 Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models ACL 2024 Aligning Logits Generatively for Principled Black-Box Knowledge Distillation CVPR 2024 Improved Self-Training for Test-Time Adaptation CVPR 2024 GNNs Also Deserve Editing, and They Need It More Than Once ICML 2024 Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions NIPS 2024 AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation EMNLP 2024 MMCode: Benchmarking Multimodal Large Language Models for Code Generation with Visually Rich Programming Problems EMNLP 2024 Learning Causal Effects on Hypergraphs (Extended Abstract) IJCAI 2023 Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning AAAI 2023 Interpreting Unfairness in Graph Neural Networks via Training Node Attribution AAAI 2023 WSDMS: Debunk Fake News via Weakly Supervised Detection of Misinforming Sentences with Contextualized Social Wisdom EMNLP 2023 KAPALM: Knowledge grAPh enhAnced Language Models for Fake News Detection EMNLP 2023 Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models EMNLP 2023 LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval ICCV 2023 A Study on Visualization of Voiceprint Feature INTERSPEECH 2023 Conditioned Masked Language and Image Modeling for Image-Text Dense Retrieval EMNLP 2022 CLEAR: Generative Counterfactual Explanations on Graphs NIPS 2022 DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks NAACL 2022 Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning NAACL 2022 Coarse-to-Fine Incremental Few-Shot Learning ECCV 2022 A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection COLING 2022 Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks EMNLP 2021 Learning from Crowds by Modeling Common Confusions AAAI 2021 HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition EMNLP 2021 Multi-Cause Effect Estimation with Disentangled Confounder Representation IJCAI 2021 Private Stochastic Non-convex Optimization with Improved Utility Rates IJCAI 2021 Federated Graph Classification over Non-IID Graphs NIPS 2021 AnswerFact: Fact Checking in Product Question Answering EMNLP 2020 Attention-based Multi-level Feature Fusion for Named Entity Recognition IJCAI 2020 NUAA-QMUL at SemEval-2020 Task 8: Utilizing BERT and DenseNet for Internet Meme Emotion Analysis SEMEVAL 2020 NUAA-QMUL at SemEval-2020 Task 8: Utilizing BERT and DenseNet for Internet Meme Emotion Analysis COLING 2020 Debunking Rumors on Twitter with Tree Transformer COLING 2020 Sentence-Level Evidence Embedding for Claim Verification with Hierarchical Attention Networks ACL 2019 Rumor Detection on Twitter with Tree-structured Recursive Neural Networks ACL 2018 EICA Team at SemEval-2017 Task 3: Semantic and Metadata-based Features for Community Question Answering SEMEVAL 2017 Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning ACL 2017 Joint Structural Estimation of Multiple Graphical Models JMLR 2016 Detecting Rumors from Microblogs with Recurrent Neural Networks IJCAI 2016 UIR-PKU: Twitter-OpinMiner System for Sentiment Analysis in Twitter at SemEval 2015 SEMEVAL 2015