conftrace_
← Authors

Wenya Wang

41 papers · 2016–2026 · 7 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+11 more ↓ πŸƒ Academic Marathon (9) 🌍 Conference Polyglot (7) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (14)
🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (91) 🧬 Topic Evolution 🀝 Dynamic Duo (10) ⚑ Prolific Year (12) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (184) πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (31) ❓ The Questioner (2)

Conferences

ACL (20) EMNLP (8) AAAI (7) IJCAI (2) NAACL (2) COLING (1) NIPS (1)

Top co-authors

Sinno Jialin Pan (10) Quanyu Long (9) Jing Li (6) Hui LIU (5) Haoliang Li (5) Sinno Pan (3) Shangyu Chen (3) Min Zhang (3) Yumeng Shi (3) Qisheng Hu (3)

Keywords

large language model (10) in-context learning (5) model compression (5) reinforcement learning (4) domain adaptation (3) vision-language model (3) opinion extraction (3) language model (3) multi-hop reasoning (3) edge deployment (2) transfer learning (2) video language model (2) knowledge base (2) multimodal learning (2) exemplar selection (2) named entity recognition (2) question answering (2) text generation (2) attention mechanism (2) natural language inference (2)

Papers

LLMC+: Benchmarking Vision-Language Model Compression with a plug-and-play Toolkit AAAI 2026 Causality Matters: How Temporal Information Emerges in Video Language Models AAAI 2026 From Competition to Synergy: Unlocking Reinforcement Learning for Subject-Driven Image Generation ACL 2026 Vocabulary Hijacking in LVLMs: Unveiling Critical Attention Heads by Excluding Inert Tokens to Mitigate Hallucination ACL 2026 Programming over Thinking: Efficient and Robust Multi-Constraint Planning ACL 2026 Learning More from Less: Exploiting Counterfactuals for Data-Efficient Chart Understanding ACL 2026 Personalizing LLMs with Binary Feedback: A Preference-Calibrated Optimization Framework ACL 2026 Task-Aware LLM Routing with Multi-Level Task-Profile-Guided Data Synthesis for Cold-Start Scenarios ACL 2026 Coordinating Search-Informed Reasoning and Reasoning-Guided Search in Claim Verification ACL 2026 Skill Path: Unveiling Language Skills from Circuit Graphs AAAI 2026 Multi-Modality Expansion and Retention for LLMs through Parameter Merging and Decoupling ACL 2025 Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation AAAI 2025 Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning ACL 2025 Quantifying Semantic Emergence in Language Models ACL 2025 MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming ACL 2025 Reinforcing Compositional Retrieval: Retrieving Step-by-Step for Composing Informative Contexts ACL 2025 Adaptive Detoxification: Safeguarding General Capabilities of LLMs through Toxicity-Aware Knowledge Editing ACL 2025 Language Models over Large-Scale Knowledge Base: on Capacity, Flexibility and Reasoning for New Facts COLING 2025 Static or Dynamic: Towards Query-Adaptive Token Selection for Video Question Answering EMNLP 2025 STARE at the Structure: Steering ICL Exemplar Selection with Structural Alignment EMNLP 2025 Exploring Quality and Diversity in Synthetic Data Generation for Argument Mining EMNLP 2025 Decomposition Dilemmas: Does Claim Decomposition Boost or Burden Fact-Checking Performance? NAACL 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 Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements EMNLP 2023 Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning EMNLP 2023 Interpretable Multimodal Misinformation Detection with Logic Reasoning ACL 2023 Elaboration-Generating Commonsense Question Answering at Scale ACL 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 Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data AAAI 2019 Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction AAAI 2019 MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization NIPS 2019 Cooperative Pruning in Cross-Domain Deep Neural Network Compression IJCAI 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