Jindong Wang

Is Your (Reasoning) Multimodal Language Model Vulnerable Toward Distractions? AAAI 2026 Self-Corrected Image Generation with Explainable Latent Rewards CVPR 2026 Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks ACL 2026 UniGame: Turning a Unified Multimodal Model Into Its Own Adversary CVPR 2026 Beyond Metrics: Evaluating LLMs Effectiveness in Culturally Nuanced, Low-Resource Real-World Scenarios ACL 2025 CycleResearcher: Improving Automated Research via Automated Review ICLR 2025 Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities ACL 2025 Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist ICLR 2025 Masked Autoencoders Are Effective Tokenizers for Diffusion Models ICML 2025 MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents ICML 2025 Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation ACL 2025 Realistic Evaluation of Deep Partial-Label Learning Algorithms ICLR 2025 Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation ICML 2025 SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer CVPR 2025 StringLLM: Understanding the String Processing Capability of Large Language Models ICLR 2025 Topology-aware Neural Flux Prediction Guided by Physics ICML 2025 Value Compass Benchmarks: A Comprehensive, Generative and Self-Evolving Platform for LLMs’ Value Evaluation ACL 2025 A General Framework for Learning from Weak Supervision ICML 2024 AgentReview: Exploring Peer Review Dynamics with LLM Agents EMNLP 2024 CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents ICML 2024 CultureLLM: Incorporating Cultural Differences into Large Language Models NeurIPS 2024 CulturePark: Boosting Cross-cultural Understanding in Large Language Models NeurIPS 2024 Detoxifying Large Language Models via Knowledge Editing ACL 2024 Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models NeurIPS 2024 Dynamic Evaluation of Large Language Models by Meta Probing Agents ICML 2024 DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks ICLR 2024 ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models NeurIPS 2024 FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models EMNLP 2024 Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations NeurIPS 2024 KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models ACL 2024 LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting ACL 2024 MM-SOC: Benchmarking Multimodal Large Language Models in Social Media Platforms ACL 2024 NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli IJCAI 2024 Open-Vocabulary Calibration for Fine-tuned CLIP ICML 2024 PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization ICLR 2024 Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024 Position: What Can Large Language Models Tell Us about Time Series Analysis ICML 2024 PromptBench: A Unified Library for Evaluation of Large Language Models JMLR 2024 RESTful-Llama: Connecting User Queries to RESTful APIs EMNLP 2024 Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup ICML 2024 Slight Corruption in Pre-training Data Makes Better Diffusion Models NeurIPS 2024 SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization ECCV 2024 Supervised Knowledge Makes Large Language Models Better In-context Learners ICLR 2024 The Good, The Bad, and Why: Unveiling Emotions in Generative AI ICML 2024 Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks ICLR 2024 Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models NeurIPS 2023 FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning ICLR 2023 GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective ACL 2023 Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning ICCV 2023 Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future EMNLP 2023 Out-of-distribution Representation Learning for Time Series Classification ICLR 2023 SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning ICLR 2023 Decoupled Federated Learning for ASR with Non-IID Data Interspeech 2022 Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction COLING 2022 Margin Calibration for Long-Tailed Visual Recognition ACML 2022 USB: A Unified Semi-supervised Learning Benchmark for Classification NeurIPS 2022 Wav2vec-S: Semi-Supervised Pre-Training for Low-Resource ASR Interspeech 2022 Cross-Domain Speech Recognition with Unsupervised Character-Level Distribution Matching Interspeech 2021 FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling NeurIPS 2021 Generalizing to Unseen Domains: A Survey on Domain Generalization IJCAI 2021 Learning Causal Semantic Representation for Out-of-Distribution Prediction NeurIPS 2021 Joint Partial Optimal Transport for Open Set Domain Adaptation IJCAI 2020 Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation CVPR 2020