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Wenxuan Zhang

62 papers · 2019–2026 · 13 conferences · across top CS/AI conferences

Achievements

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+15 more ↓ 🌍 Conference Polyglot (13) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (11) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (6)
πŸƒ Academic Marathon (6) 🐝 Cross-Pollinator (7) 🌈 Renaissance Researcher (8) 🏠 Conference Loyalist (20) πŸ† Keyword Champion (2) πŸ† Grand Slam 🧬 Topic Evolution 🀝 Dynamic Duo (25) πŸ”¬ Deep Specialist (16) πŸ’Ž Century Club (59) πŸ”₯ Unstoppable (7) ❓ The Questioner (2) ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (240)

Conferences

ACL (22) EMNLP (11) ICLR (6) NAACL (5) NIPS (4) COLING (3) AAAI (2) AACL (2) CVPR (2) IJCNLP (2) ACML (1) ICCV (1) ICML (1)

Papers

Language of Thought Shapes Output Diversity in Large Language Models ACL 2026 DR-Arena: an Automated Evaluation Framework for Deep Research Agents ACL 2026 Towards Inclusive AI: Advancing Multilingual Large Language Models AAAI 2026 Pruning General Large Language Models into Customized Expert Models ACL 2025 JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning ACL 2025 AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging NAACL 2025 Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models NAACL 2025 SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages NAACL 2025 Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels COLING 2025 SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia NAACL 2025 Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron ICLR 2025 Explainable Ethical Assessment on Human Behaviors by Generating Conflicting Social Norms IJCNLP 2025 Explainable Ethical Assessment on Human Behaviors by Generating Conflicting Social Norms AACL 2025 Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models ICLR 2025 Query-based Knowledge Transfer for Heterogeneous Learning Environments ICLR 2025 Reframe Your Life Story: Interactive Narrative Therapist and Innovative Moment Assessment with Large Language Models EMNLP 2025 FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models ACL 2025 Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee Discussions ACL 2025 Disentangling Language and Culture for Evaluating Multilingual Large Language Models ACL 2025 Knowledge Boundary of Large Language Models: A Survey ACL 2025 MPO: Multilingual Safety Alignment via Reward Gap Optimization ACL 2025 MlingConf: A Comprehensive Study of Multilingual Confidence Estimation on Large Language Models ACL 2025 Overcoming Generic Knowledge Loss with Selective Parameter Update CVPR 2024 Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation ICLR 2024 Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents ICLR 2024 Multilingual Jailbreak Challenges in Large Language Models ICLR 2024 How do Large Language Models Handle Multilingualism? NIPS 2024 Label Delay in Online Continual Learning NIPS 2024 Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition ACL 2024 On the Multi-turn Instruction Following for Conversational Web Agents ACL 2024 SeaLLMs - Large Language Models for Southeast Asia ACL 2024 DimA: A Parameter-efficient Fine-tuning Method with Knowledge Transfer Based on Transformer COLING 2024 Sentiment Analysis in the Era of Large Language Models: A Reality Check NAACL 2024 SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation CVPR 2023 From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader NIPS 2023 Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations ACL 2023 Product Question Answering in E-Commerce: A Survey ACL 2023 Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis ACL 2023 AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach ACL 2023 Zero-Shot Text Classification via Self-Supervised Tuning ACL 2023 Easy-to-Hard Learning for Information Extraction ACL 2023 M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models NIPS 2023 SOUL: Towards Sentiment and Opinion Understanding of Language EMNLP 2023 Continual Zero-Shot Learning through Semantically Guided Generative Random Walks ICCV 2023 SLAMB: Accelerated Large Batch Training with Sparse Communication ICML 2023 Prevailing in the Dark: Information Walls in Strategic Games AAAI 2022 UniGDD: A Unified Generative Framework for Goal-Oriented Document-Grounded Dialogue ACL 2022 Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems ACL 2022 PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance EMNLP 2022 Towards Generalizable and Robust Text-to-SQL Parsing EMNLP 2022 Aspect-based Sentiment Analysis in Question Answering Forums EMNLP 2021 Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching EMNLP 2021 Towards Generative Aspect-Based Sentiment Analysis ACL 2021 Aspect Sentiment Quad Prediction as Paraphrase Generation EMNLP 2021 Learning to Rank Question Answer Pairs with Bilateral Contrastive Data Augmentation EMNLP 2021 Towards Generative Aspect-Based Sentiment Analysis IJCNLP 2021 Answering Product-related Questions with Heterogeneous Information AACL 2020 Multi-hop Inference for Question-driven Summarization EMNLP 2020 AnswerFact: Fact Checking in Product Question Answering EMNLP 2020 Intra-/Inter-Interaction Network with Latent Interaction Modeling for Multi-turn Response Selection COLING 2020 Cascaded and Dual: Discrimination Oriented Network for Brain Tumor Classification ACML 2019 Exploiting BERT for End-to-End Aspect-based Sentiment Analysis EMNLP 2019