Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.

[BibT_eX]

[DOI]

Kaijie Zhu

Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, 2024

Supervised Knowledge Makes Large Language Models Better In-context Learners.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Detoxifying Large Language Models via Knowledge Editing.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

MAGE: Machine-generated Text Detection in the Wild.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity.

[BibT_eX]

[DOI]

CoRR, 2023

The L<sub>q</sub>-weighted dual programming of the linear Chebyshev approximation and an interior-point method.

[BibT_eX]

[DOI]

Linyi Yang

Lei-Hong Zhang

Ya-Nan Zhang

CoRR, 2023

A convex dual programming for the rational minimax approximation and Lawson's iteration.

[BibT_eX]

[DOI]

CoRR, 2023

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.

[BibT_eX]

[DOI]

CoRR, 2023

Out-of-Distribution Generalization in Text Classification: Past, Present, and Future.

[BibT_eX]

[DOI]

CoRR, 2023

Deepfake Text Detection in the Wild.

[BibT_eX]

[DOI]

CoRR, 2023

SciMine: An Efficient Systematic Prioritization Model Based on Richer Semantic Information.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Graph-Based Video-Language Learning with Multi-Grained Audio-Visual Alignment.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future.

[BibT_eX]

[DOI]

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

GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective.

[BibT_eX]

[DOI]

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

Measuring Consistency in Text-based Financial Forecasting Models.

[BibT_eX]

[DOI]

Linyi Yang

Yingpeng Ma

Yue Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Learning to Generalize for Cross-domain QA.

[BibT_eX]

[DOI]

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

Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis.

[BibT_eX]

[DOI]

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

2022

Exploiting Rich Textual User-Product Context for Improving Sentiment Analysis.

[BibT_eX]

[DOI]

CoRR, 2022

Pre-Training a Graph Recurrent Network for Language Representation.

[BibT_eX]

[DOI]

CoRR, 2022

USB: A Unified Semi-supervised Learning Benchmark.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Fine-grained Causal Reasoning and QA.

[BibT_eX]

[DOI]

CoRR, 2022

Challenges for Open-domain Targeted Sentiment Analysis.

[BibT_eX]

[DOI]

CoRR, 2022

USB: A Unified Semi-supervised Learning Benchmark for Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Human-in-the-loop Robotic Grasping Using BERT Scene Representation.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

A Rationale-Centric Framework for Human-in-the-loop Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Fact Check: Analyzing Financial Events from Multilingual News Sources.

[BibT_eX]

[DOI]

CoRR, 2021

Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2018

Explainable Text-Driven Neural Network for Stock Prediction.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Cloud Computing and Intelligence Systems, 2018

2017

Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the 25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7, 2017

Linyi Yang

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