Publications
(* denotes equal contribution)2026
The First Drop of Ink: Nonlinear Impact of Misleading Information in Long-Context Reasoning ICML 2026 Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning arXiv preprint Is CLIP Cross-Eyed? Revealing and Mitigating Center Bias in the CLIP Family arXiv preprint Steering Vector Fields for Context-Aware Inference-Time Control in Large Language Models arXiv preprint Language Steering for Multilingual In-Context Learning arXiv preprint Embodied Agents Meet Personalization: Investigating Challenges and Solutions Through the Lens of Memory Utilization ICLR 2026 What’s Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning EACL 2026 Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors EACL 2026
2025
PEPPER: Perception-Guided Perturbation for Robust Backdoor Defense in Text-to-Image Diffusion Models arXiv preprint Science Hierarchography: Hierarchical Organization of Science Literature arXiv preprint Visually Descriptive Language Model for Vector Graphics Reasoning Transactions on Machine Learning Research Contrastive Visual Data Augmentation ICML 2025 Eliminating Position Bias of Language Models: A Mechanistic Approach ICLR 2025 SHA256 at SemEval-2025 Task 4: Selective Amnesia – Constrained Unlearning for Large Language Models via Knowledge Isolation SemEval 2025 FARM: Functional Group-Aware Representations for Small Molecules NAACL 2025 Workshop on AI and Scientific Discovery: Directions and Opportunities
2024
ARMADA: Attribute-Based Multimodal Data Augmentation EMNLP 2024 Workshop on Advancing Natural Language Process for Wikipedia TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction ACL-Findings 2024 Contextual Label Projection for Cross-Lingual Structure Prediction NAACL 2024 Event Detection from Social Media for Epidemic Prediction NAACL 2024 Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis EACL-Findings 2024 MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System ACMMM 2024 Technical Demos and Videos Program
2023
Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefixes EMNLP-Findings 2023 Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer AACL 2023 ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation ACL 2023 Area Chair Paper Award TAGPRIME: A Unified Framework for Relational Structure Extraction ACL 2023 AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model ACL 2023 GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles ACL 2023 PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation ACL-Findings 2023
2022
A Comparative Survey of Deep Active Learning NeurIPS 2022 Workshop on Human in the Loop Learning Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations EMNLP-Findings 2022 Zero-Shot Cross-Lingual Sequence Tagging as Seq2Seq Generation for Joint Intent Classification and Slot Filling EMNLP 2022 Workshop on Massively Multilingual Natural Language Understanding
DEGREE: A Data-Efficient Generation-Based Event Extraction Model NAACL 2022 Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction ACL 2022
Before 2019
Cost-Sensitive Reference Pair Encoding for Multi-Label Learning PAKDD 2018 Cost-Sensitive Label Embedding for Multi-Label Classification Machine Learning (ECML PKDD 2017 Journal Track) A Novel Uncertainty Sampling Algorithm for Cost-Sensitive Multiclass Active Learning ICDM 2016 Linear Upper Confidence Bound Algorithm for Contextual Bandit Problem with Piled Rewards PAKDD 2016 Combination of Feature Engineering and Ranking Models for Paper-Author Identification in KDD Cup 2013 Journal of Machine Learning Research Effective String Processing and Matching for Author Disambiguation Journal of Machine Learning Research