Zhijing Jin

Mona T. Diab

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

Can Large Language Models Infer Causation from Correlation?

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis.

[BibT_eX]

[DOI]

Zhiheng Lyu

Rada Mihalcea

Mrinmaya Sachan

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

The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning.

[BibT_eX]

[DOI]

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

Implicit Personalization in Language Models: A Systematic Study.

[BibT_eX]

[DOI]

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

Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Moûsai: Efficient Text-to-Music Diffusion Models.

[BibT_eX]

[DOI]

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

Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals.

[BibT_eX]

[DOI]

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

CausalCite: A Causal Formulation of Paper Citations.

[BibT_eX]

[DOI]

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

2023

A taxonomy and review of generalization research in NLP.

[BibT_eX]

[DOI]

Nat. Mac. Intell., October, 2023

Navigating the Ocean of Biases: Political Bias Attribution in Language Models via Causal Structures.

[BibT_eX]

[DOI]

CoRR, 2023

CausalCite: A Causal Formulation of Paper Citations.

[BibT_eX]

[DOI]

CoRR, 2023

Voices of Her: Analyzing Gender Differences in the AI Publication World.

[BibT_eX]

[DOI]

CoRR, 2023

All Roads Lead to Rome? Exploring the Invariance of Transformers' Representations.

[BibT_eX]

[DOI]

CoRR, 2023

A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

OPT-R: Exploring the Role of Explanations in Finetuning and Prompting for Reasoning Skills of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good.

[BibT_eX]

[DOI]

CoRR, 2023

Psychologically-Inspired Causal Prompts.

[BibT_eX]

[DOI]

CoRR, 2023

Natural Language Processing for Policymaking.

[BibT_eX]

[DOI]

Rada Mihalcea

CoRR, 2023

Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion.

[BibT_eX]

[DOI]

Flavio Schneider

CoRR, 2023

CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models.

[BibT_eX]

[DOI]

Max Kleiman-Weiner

Mrinmaya Sachan

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

Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good.

[BibT_eX]

[DOI]

Fatemehsadat Mireshghallah

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

ALERT: Adapt Language Models to Reasoning Tasks.

[BibT_eX]

[DOI]

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

A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models.

[BibT_eX]

[DOI]

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

When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP.

[BibT_eX]

[DOI]

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

Membership Inference Attacks against Language Models via Neighbourhood Comparison.

[BibT_eX]

[DOI]

Justus Mattern

Mrinmaya Sachan

Taylor Berg-Kirkpatrick

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

2022

Understanding Stereotypes in Language Models: Towards Robust Measurement and Zero-Shot Debiasing.

[BibT_eX]

[DOI]

CoRR, 2022

Editing a Woman's Voice.

[BibT_eX]

[DOI]

CoRR, 2022

State-of-the-art generalisation research in NLP: a taxonomy and review.

[BibT_eX]

[DOI]

CoRR, 2022

When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment.

[BibT_eX]

[DOI]

CoRR, 2022

Deep Learning for Text Style Transfer: A Survey.

[BibT_eX]

[DOI]

Comput. Linguistics, 2022

When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment.

[BibT_eX]

[DOI]

Sydney Levine

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

Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance.

[BibT_eX]

[DOI]

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

Differentially Private Language Models for Secure Data Sharing.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Logical Fallacy Detection.

[BibT_eX]

[DOI]

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

Competing perspectives on building ethical AI: psychological, philosophical, and computational approaches.

[BibT_eX]

[DOI]

Sydney Levine

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang.

[BibT_eX]

[DOI]

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

2021

Inconsistent Few-Shot Relation Classification via Cross-Attentional Prototype Networks with Contrastive Learning.

[BibT_eX]

[DOI]

Hongru Wang

Jiarun Cao

Gabriel Pui Cheong Fung

Kam-Fai Wong

CoRR, 2021

Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training.

[BibT_eX]

[DOI]

CoRR, 2020

Relation of the Relations: A New Paradigm of the Relation Extraction Problem.

[BibT_eX]

[DOI]

CoRR, 2020

Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation.

[BibT_eX]

[DOI]

CoRR, 2020

Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation.

[BibT_eX]

[DOI]

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

Hooks in the Headline: Learning to Generate Headlines with Controlled Styles.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment.

[BibT_eX]

[DOI]

CoRR, 2019

Unsupervised Text Style Transfer via Iterative Matching and Translation.

[BibT_eX]

[DOI]

CoRR, 2019

GraphIE: A Graph-Based Framework for Information Extraction.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

3D Traffic Simulation for Autonomous Vehicles in Unity and Python.

[BibT_eX]

[DOI]