Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Vulnerability of Large Language Models to Output Prefix Jailbreaks: Impact of Positions on Safety.

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[DOI]

Yiwei Wang

Muhao Chen

Nanyun Peng

Kai-Wei Chang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling.

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[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness.

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[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding.

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[DOI]

Proceedings of the 31st International Conference on Computational Linguistics, 2025

"Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak.

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[DOI]

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Vulnerability of LLMs to Vertically Aligned Text Manipulations.

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[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

DRS: Deep Question Reformulation With Structured Output.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling.

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[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?

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[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts.

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[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Context-DPO: Aligning Language Models for Context-Faithfulness.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Are LLMs Really Not Knowledgable? Mining the Submerged Knowledge in LLMs' Memory.

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[DOI]

CoRR, 2024

Think Carefully and Check Again! Meta-Generation Unlocking LLMs for Low-Resource Cross-Lingual Summarization.

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[DOI]

CoRR, 2024

HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router.

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[DOI]

CoRR, 2024

StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models.

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[DOI]

CoRR, 2024

Benchmarking LLMs for Optimization Modeling and Enhancing Reasoning via Reverse Socratic Synthesis.

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[DOI]

CoRR, 2024

Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts.

[BibT_eX]

[DOI]

CoRR, 2024

Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge Editing Benchmark.

[BibT_eX]

[DOI]

CoRR, 2024

Scalable Link Prediction on Large-Scale Heterogeneous Graphs with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

SLANG: New Concept Comprehension of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

DeepEdit: Knowledge Editing as Decoding with Constraints.

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[DOI]

CoRR, 2024

Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Scalable and Effective Implicit Graph Neural Networks on Large Graphs.

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[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

SLANG: New Concept Comprehension of Large Language Models.

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[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Control Large Language Models via Divide and Conquer.

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[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LPNL: Scalable Link Prediction with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting.

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[DOI]

IEEE Trans. Knowl. Data Eng., September, 2023

Speak Like a Native: Prompting Large Language Models in a Native Style.

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[DOI]

CoRR, 2023

Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference.

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[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Causal View of Entity Bias in (Large) Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Primacy Effect of ChatGPT.

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[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

How Fragile is Relation Extraction under Entity Replacements?

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[DOI]

Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

AirFormer: Predicting Nationwide Air Quality in China with Transformers.

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[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

LSCALE: Latent Space Clustering-Based Active Learning for Node Classification.

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[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis.

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[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Dangling-Aware Entity Alignment with Mixed High-Order Proximities.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Flashlight: Scalable Link Prediction With Effective Decoders.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

Time-Aware Neighbor Sampling on Temporal Graphs.

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[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

TrajFormer: Efficient Trajectory Classification with Transformers.

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[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Time-Aware Neighbor Sampling for Temporal Graph Networks.

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[DOI]

CoRR, 2021

Structure-Aware Label Smoothing for Graph Neural Networks.

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[DOI]

CoRR, 2021

Mixup for Node and Graph Classification.

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[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

CurGraph: Curriculum Learning for Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Fine-Grained Urban Flow Prediction.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Adaptive Data Augmentation on Temporal Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

EIGNN: Efficient Infinite-Depth Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Modeling Trajectories with Neural Ordinary Differential Equations.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder∗.

[BibT_eX]

[DOI]

Nadia Magnenat-Thalmann

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes.

[BibT_eX]

[DOI]

CoRR, 2020

GraphCrop: Subgraph Cropping for Graph Classification.

[BibT_eX]

[DOI]

CoRR, 2020

Progressive Supervision for Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

NodeAug: Semi-Supervised Node Classification with Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Detecting Implementation Bugs in Graph Convolutional Network based Node Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

Provably Robust Node Classification via Low-Pass Message Passing.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Learning Progressive Joint Propagation for Human Motion Prediction.

[BibT_eX]

[DOI]

Nadia Magnenat-Thalmann

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Optimization Algorithms for Graph Laplacian Estimation via ADMM and MM.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

2017

Using Knowledge Graphs to Explain Entity Co-occurrence in Twitter.

[BibT_eX]

[DOI]

Yiwei Wang

Mark James Carman

Yuan-Fang Li

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Yiwei Wang

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