Wenya Wang

Beyond Heuristic Prompting: A Concept-Guided Bayesian Framework for Zero-Shot Image Recognition CVPR 2026 Causality Matters: How Temporal Information Emerges in Video Language Models AAAI 2026 Coordinating Search-Informed Reasoning and Reasoning-Guided Search in Claim Verification ACL 2026 From Competition to Synergy: Unlocking Reinforcement Learning for Subject-Driven Image Generation ACL 2026 Learning More from Less: Exploiting Counterfactuals for Data-Efficient Chart Understanding ACL 2026 LLMC+: Benchmarking Vision-Language Model Compression with a plug-and-play Toolkit AAAI 2026 Personalizing LLMs with Binary Feedback: A Preference-Calibrated Optimization Framework ACL 2026 Programming over Thinking: Efficient and Robust Multi-Constraint Planning ACL 2026 Skill Path: Unveiling Language Skills from Circuit Graphs AAAI 2026 Task-Aware LLM Routing with Multi-Level Task-Profile-Guided Data Synthesis for Cold-Start Scenarios ACL 2026 Vocabulary Hijacking in LVLMs: Unveiling Critical Attention Heads by Excluding Inert Tokens to Mitigate Hallucination ACL 2026 Adaptive Detoxification: Safeguarding General Capabilities of LLMs through Toxicity-Aware Knowledge Editing ACL 2025 Decomposition Dilemmas: Does Claim Decomposition Boost or Burden Fact-Checking Performance? NAACL 2025 Exploring Quality and Diversity in Synthetic Data Generation for Argument Mining EMNLP 2025 Language Models over Large-Scale Knowledge Base: on Capacity, Flexibility and Reasoning for New Facts COLING 2025 MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming ACL 2025 Multi-Modality Expansion and Retention for LLMs through Parameter Merging and Decoupling ACL 2025 Quantifying Semantic Emergence in Language Models ACL 2025 Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation AAAI 2025 Reinforcing Compositional Retrieval: Retrieving Step-by-Step for Composing Informative Contexts ACL 2025 STARE at the Structure: Steering ICL Exemplar Selection with Structural Alignment EMNLP 2025 Static or Dynamic: Towards Query-Adaptive Token Selection for Video Question Answering EMNLP 2025 Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning ACL 2025 Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification ACL 2024 TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection ACL 2024 Training Language Models to Generate Text with Citations via Fine-grained Rewards ACL 2024 Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning EMNLP 2023 Elaboration-Generating Commonsense Question Answering at Scale ACL 2023 Interpretable Multimodal Misinformation Detection with Logic Reasoning ACL 2023 Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements EMNLP 2023 Deep Inductive Logic Reasoning for Multi-Hop Reading Comprehension ACL 2022 Domain Confused Contrastive Learning for Unsupervised Domain Adaptation NAACL 2022 Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge Enhancement EMNLP 2022 Deep Weighted MaxSAT for Aspect-based Opinion Extraction EMNLP 2020 Integrating Deep Learning with Logic Fusion for Information Extraction AAAI 2020 Cooperative Pruning in Cross-Domain Deep Neural Network Compression IJCAI 2019 Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data AAAI 2019 MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization NeurIPS 2019 Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction AAAI 2019 Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction ACL 2018 Transition-based Adversarial Network for Cross-lingual Aspect Extraction IJCAI 2018 Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis EMNLP 2016