Xiaojun Wan

DecoCal: Decoding with Calibration in Diffusion Large Language Models ACL 2026 Edit-Aware Reward Modeling for Chinese Grammatical Error Correction ACL 2026 From TDMA to CDMA: A Multi-bit Watermark for Diffusion Language Models ACL 2026 HAD: HAllucination Detection Language Models Based on a Comprehensive Hallucination Taxonomy ACL 2026 LEDOM: Reverse Language Model ACL 2026 QuantileMark: A Message-Symmetric Multi-bit Watermark for LLMs ACL 2026 RST-Guarder: Enhancing Long-Context Robustness for Safeguards via RST Parsing and Probabilistic Inference ACL 2026 SCOPE: Intrinsic Semantic Space Control for Mitigating Copyright Infringement in LLMs AAAI 2026 UMMF: Protecting Copyright of Large Vision-Language Models through Unlearning-based Multimodal Memorization Fingerprint ACL 2026 A Dual-Perspective NLG Meta-Evaluation Framework with Automatic Benchmark and Better Interpretability ACL 2025 Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation NAACL 2025 B4: A Black-Box Scrubbing Attack on LLM Watermarks NAACL 2025 DAMON: A Dialogue-Aware MCTS Framework for Jailbreaking Large Language Models EMNLP 2025 DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language Models AAAI 2025 Evaluating Self-Generated Documents for Enhancing Retrieval-Augmented Generation with Large Language Models NAACL 2025 Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models EMNLP 2025 Gödel Agent: A Self-Referential Agent Framework for Recursively Self-Improvement ACL 2025 ICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMs ACL 2025 MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency ACL 2025 R-Bind: Unified Enhancement of Attribute and Relation Binding in Text-to-Image Diffusion Models EMNLP 2025 Re-evaluating Automatic LLM System Ranking for Alignment with Human Preference NAACL 2025 Towards A “Novel” Benchmark: Evaluating Literary Fiction with Large Language Models ACL 2025 Tracing Training Footprints: A Calibration Approach for Membership Inference Attacks Against Multimodal Large Language Models EMNLP 2025 TriEmbed: Bridge the Gap between Text and Token Indices with Embedding Reparameterization ACL 2025 WaterPool: A Language Model Watermark Mitigating Trade-Offs among Imperceptibility, Efficacy and Robustness NAACL 2025 Who Writes What: Unveiling the Impact of Author Roles on AI-generated Text Detection ACL 2025 Are LLM-based Evaluators Confusing NLG Quality Criteria? ACL 2024 Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation ACL 2024 Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling AAAI 2024 Contextual Modeling for Document-level ASR Error Correction COLING 2024 Defining and Detecting Vulnerability in Human Evaluation Guidelines: A Preliminary Study Towards Reliable NLG Evaluation NAACL 2024 Describe Images in a Boring Way: Towards Cross-Modal Sarcasm Generation WACV 2024 Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency ACL 2024 Error-Robust Retrieval for Chinese Spelling Check COLING 2024 History Matters: Temporal Knowledge Editing in Large Language Model AAAI 2024 Image Matters: A New Dataset and Empirical Study for Multimodal Hyperbole Detection COLING 2024 Is Summary Useful or Not? An Extrinsic Human Evaluation of Text Summaries on Downstream Tasks COLING 2024 PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models EMNLP 2024 ReproHum #0087-01: A Reproduction Study of the Human Evaluation of the Coverage of Fact Checking Explanations COLING 2024 Selecting Large Language Model to Fine-tune via Rectified Scaling Law ICML 2024 Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles EMNLP 2024 Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability EMNLP 2024 ALCUNA: Large Language Models Meet New Knowledge EMNLP 2023 Evaluating Factuality in Cross-lingual Summarization ACL 2023 Exploring Context-Aware Evaluation Metrics for Machine Translation EMNLP 2023 Exploring Discourse Structure in Document-level Machine Translation EMNLP 2023 Exploring the Impact of Vision Features in News Image Captioning ACL 2023 MIL-Decoding: Detoxifying Language Models at Token-Level via Multiple Instance Learning ACL 2023 Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP EACL 2023 New Datasets and Controllable Iterative Data Augmentation Method for Code-switching ASR Error Correction EMNLP 2023 Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework ACL 2023 DialSummEval: Revisiting Summarization Evaluation for Dialogues NAACL 2022 How Do Seq2Seq Models Perform on End-to-End Data-to-Text Generation? ACL 2022 Improving Grammatical Error Correction with Data Augmentation by Editing Latent Representation COLING 2020