Wenxuan Zhang

Orcid: 0000-0003-1492-4952

Affiliations:
  • Singapore University of Technology and Design (SUTD), Singapore


According to our database1, Wenxuan Zhang authored at least 78 papers between 2019 and 2025.

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Bibliography

2025
The Emergence of Abstract Thought in Large Language Models Beyond Any Language.
CoRR, June, 2025

Pruning General Large Language Models into Customized Expert Models.
CoRR, June, 2025

Disentangling Language and Culture for Evaluating Multilingual Large Language Models.
CoRR, May, 2025

The Rise of Parameter Specialization for Knowledge Storage in Large Language Models.
CoRR, May, 2025

When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners.
CoRR, May, 2025

RAVENEA: A Benchmark for Multimodal Retrieval-Augmented Visual Culture Understanding.
CoRR, May, 2025

Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks.
CoRR, April, 2025

Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers.
CoRR, March, 2025

Unveiling Knowledge Boundary of Large Language Models for Trustworthy Information Access.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

MPO: Multilingual Safety Alignment via Reward Gap Optimization.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Pruning General Large Language Models into Customized Expert Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee Discussions.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Disentangling Language and Culture for Evaluating Multilingual Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Knowledge Boundary of Large Language Models: A Survey.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Nonfactoid Question Answering as Query-Focused Summarization With Graph-Enhanced Multihop Inference.
IEEE Trans. Neural Networks Learn. Syst., August, 2024

ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions.
Trans. Mach. Learn. Res., 2024

SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages.
CoRR, 2024

Auto Arena of LLMs: Automating LLM Evaluations with Agent Peer-battles and Committee Discussions.
CoRR, 2024

Label Delay in Online Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

How do Large Language Models Handle Multilingualism?
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Sentiment Analysis in the Era of Large Language Models: A Reality Check.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multilingual Jailbreak Challenges in Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Overcoming Generic Knowledge Loss with Selective Parameter Update.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

On the Multi-turn Instruction Following for Conversational Web Agents.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges.
IEEE Trans. Knowl. Data Eng., November, 2023

A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems.
ACM Trans. Inf. Syst., 2023

Label Delay in Continual Learning.
CoRR, 2023

SeaLLMs - Large Language Models for Southeast Asia.
CoRR, 2023

Social Media Fashion Knowledge Extraction as Captioning.
CoRR, 2023

Overcoming General Knowledge Loss with Selective Parameter Finetuning.
CoRR, 2023

M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models.
CoRR, 2023

Enhancing Few-shot NER with Prompt Ordering based Data Augmentation.
CoRR, 2023

Multimodal Fashion Knowledge Extraction as Captioning.
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SLAMB: Accelerated Large Batch Training with Sparse Communication.
Proceedings of the International Conference on Machine Learning, 2023

Continual Zero-Shot Learning through Semantically Guided Generative Random Walks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SOUL: Towards Sentiment and Opinion Understanding of Language.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Zero-Shot Text Classification via Self-Supervised Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Easy-to-Hard Learning for Information Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Product Question Answering in E-Commerce: A Survey.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling.
ACM Trans. Inf. Syst., 2022

From Clozing to Comprehending: Retrofitting Pre-trained Language Model to Pre-trained Machine Reader.
CoRR, 2022

A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning.
CoRR, 2022

User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Towards Generalizable and Robust Text-to-SQL Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

UniGDD: A Unified Generative Framework for Goal-Oriented Document-Grounded Dialogue.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling.
CoRR, 2021

Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Aspect-based Sentiment Analysis in Question Answering Forums.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Aspect Sentiment Quad Prediction as Paraphrase Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning to Rank Question Answer Pairs with Bilateral Contrastive Data Augmentation.
Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

Towards Generative Aspect-Based Sentiment Analysis.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond.
CoRR, 2020

Review-guided Helpful Answer Identification in E-commerce.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Answer Ranking for Product-Related Questions via Multiple Semantic Relations Modeling.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Answering Product-related Questions with Heterogeneous Information.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

AnswerFact: Fact Checking in Product Question Answering.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Multi-hop Inference for Question-driven Summarization.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Intra-/Inter-Interaction Network with Latent Interaction Modeling for Multi-turn Response Selection.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Exploiting BERT for End-to-End Aspect-based Sentiment Analysis.
Proceedings of the 5th Workshop on Noisy User-generated Text, 2019


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