Najoung Kim

According to our database, Najoung Kim authored at least 31 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Generating novel experimental hypotheses from language models: A case study on cross-dative generalization.

Kanishka Misra, Najoung Kim

CoRR, 2024

Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation.

Katherine M. Collins, Najoung Kim, Yonatan Bitton, Verena Rieser, Shayegan Omidshafiei, Yushi Hu, Sherol Chen, Senjuti Dutta, Minsuk Chang, Kimin Lee, Youwei Liang, Georgina Evans, Sahil Singla, Gang Li, Adrian Weller, Junfeng He, Deepak Ramachandran, Krishnamurthy Dj Dvijotham

CoRR, 2024

Code Pretraining Improves Entity Tracking Abilities of Language Models.

Najoung Kim, Sebastian Schuster, Shubham Toshniwal

CoRR, 2024

Syn-QA2: Evaluating False Assumptions in Long-tail Questions with Synthetic QA Datasets.

Ashwin Daswani, Rohan Sawant, Najoung Kim

CoRR, 2024

Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks.

Zhaofeng Wu, Linlu Qiu, Alexis Ross, Ekin Akyürek, Boyuan Chen, Bailin Wang, Najoung Kim, Jacob Andreas, Yoon Kim

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

Semantic Training Signals Promote Hierarchical Syntactic Generalization in Transformers.

Aditya Yedetore, Najoung Kim

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

Personas as a Way to Model Truthfulness in Language Models.

Nitish Joshi, Javier Rando, Abulhair Saparov, Najoung Kim, He He

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

2023

Inverse Scaling: When Bigger Isn't Better.

Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, Andrew Gritsevskiy, Daniel Wurgaft, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez

Trans. Mach. Learn. Res., 2023

Abstraction via exemplars? A representational case study on lexical category inference in BERT.

Kanishka Misra, Najoung Kim

CoRR, 2023

Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples.

Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, Nitish Joshi, Mehran Kazemi, Najoung Kim, He He

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

BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information.

Mehran Kazemi, Quan Yuan, Deepti Bhatia, Najoung Kim, Xin Xu, Vaiva Imbrasaite, Deepak Ramachandran

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

Inverse Scaling Can Become U-Shaped.

Jason Wei, Najoung Kim, Yi Tay, Quoc V. Le

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

SLOG: A Structural Generalization Benchmark for Semantic Parsing.

Bingzhi Li, Lucia Donatelli, Alexander Koller, Tal Linzen, Yuekun Yao, Najoung Kim

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

Entity Tracking in Language Models.

Najoung Kim, Sebastian Schuster

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

Reconstruction Probing.

Najoung Kim, Jatin Khilnani, Alex Warstadt, Abdelrahim Qaddoumi

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

(QA)²: Question Answering with Questionable Assumptions.

Najoung Kim, Phu Mon Htut, Samuel R. Bowman, Jackson Petty

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

LAMBADA: Backward Chaining for Automated Reasoning in Natural Language.

Mehran Kazemi, Najoung Kim, Deepti Bhatia, Xin Xu, Deepak Ramachandran

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

2022

Reconstruction Probing.

Najoung Kim, Jatin Khilnani, Alex Warstadt, Abed Qaddoumi

CoRR, 2022

Uncontrolled Lexical Exposure Leads to Overestimation of Compositional Generalization in Pretrained Models.

Najoung Kim, Tal Linzen, Paul Smolensky

CoRR, 2022

(QA)²: Question Answering with Questionable Assumptions.

Najoung Kim, Phu Mon Htut, Samuel R. Bowman, Jackson Petty

CoRR, 2022

2021

Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering.

Najoung Kim, Ellie Pavlick, Burcu Karagol Ayan, Deepak Ramachandran

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

2020

COGS: A Compositional Generalization Challenge Based on Semantic Interpretation.

Najoung Kim, Tal Linzen

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

Implicit Discourse Relation Classification: We Need to Talk about Evaluation.

Najoung Kim, Song Feng, R. Chulaka Gunasekara, Luis A. Lastras

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

2019

Probing What Different NLP Tasks Teach Machines about Function Word Comprehension.

Najoung Kim, Roma Patel, Adam Poliak, Patrick Xia, Alex Wang, Tom McCoy, Ian Tenney, Alexis Ross, Tal Linzen, Benjamin Van Durme, Samuel R. Bowman, Ellie Pavlick

Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, 2019

What do you learn from context? Probing for sentence structure in contextualized word representations.

Ian Tenney, Patrick Xia, Berlin Chen, Alex Wang, Adam Poliak, R. Thomas McCoy, Najoung Kim, Benjamin Van Durme, Samuel R. Bowman, Dipanjan Das, Ellie Pavlick

Proceedings of the 7th International Conference on Learning Representations, 2019

Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling.

Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen, Benjamin Van Durme, Edouard Grave, Ellie Pavlick, Samuel R. Bowman

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Predicting the Argumenthood of English Prepositional Phrases.

Najoung Kim, Kyle Rawlins, Benjamin Van Durme, Paul Smolensky

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling.

Samuel R. Bowman, Ellie Pavlick, Edouard Grave, Benjamin Van Durme, Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen

CoRR, 2018

Predicting Argumenthood of English Preposition Phrases.

Najoung Kim, Kyle Rawlins, Benjamin Van Durme, Paul Smolensky

CoRR, 2018

2016

Enhanced Sign Language Transcription System via Hand Tracking and Pose Estimation.

Jung-Ho Kim, Najoung Kim, Hancheol Park, Jong-Chan Park

J. Comput. Sci. Eng., 2016

Prosodic and Linguistic Analysis of Semantic Fluency Data: A Window into Speech Production and Cognition.

Maria K. Wolters, Najoung Kim, Jung-Ho Kim, Sarah E. MacPherson, Jong-Chan Park

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016