Linlu Qiu

According to our database, Linlu Qiu authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

The Surprising Effectiveness of Test-Time Training for Abstract Reasoning.

Ekin Akyürek, Mehul Damani, Linlu Qiu, Han Guo, Yoon Kim, Jacob Andreas

CoRR, 2024

Learning to Reason via Program Generation, Emulation, and Search.

Nathaniel Weir, Muhammad Khalifa, Linlu Qiu, Orion Weller, Peter Clark

CoRR, 2024

Language Model Evolution: An Iterated Learning Perspective.

Yi Ren, Shangmin Guo, Linlu Qiu, Bailin Wang, Danica J. Sutherland

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

Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement.

Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps.

Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, Ranjay Krishna, Yoon Kim, James R. Glass

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

2023

QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking.

Tobias Fischer, Thomas E. Huang, Jiangmiao Pang, Linlu Qiu, Haofeng Chen, Trevor Darrell, Fisher Yu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

2022

Improving Compositional Generalization with Latent Structure and Data Augmentation.

Linlu Qiu, Peter Shaw, Panupong Pasupat, Pawel Krzysztof Nowak, Tal Linzen, Fei Sha, Kristina Toutanova

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

Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing.

Linlu Qiu, Peter Shaw, Panupong Pasupat, Tianze Shi, Jonathan Herzig, Emily Pitler, Fei Sha, Kristina Toutanova

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

Generate-and-Retrieve: Use Your Predictions to Improve Retrieval for Semantic Parsing.

Yury Zemlyanskiy, Michiel de Jong, Joshua Ainslie, Panupong Pasupat, Peter Shaw, Linlu Qiu, Sumit Sanghai, Fei Sha

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

2021

Systematic Generalization on gSCAN: What is Nearly Solved and What is Next?

Linlu Qiu, Hexiang Hu, Bowen Zhang, Peter Shaw, Fei Sha

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

Visually Grounded Concept Composition.

Bowen Zhang, Hexiang Hu, Linlu Qiu, Peter Shaw, Fei Sha

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

Quasi-Dense Similarity Learning for Multiple Object Tracking.

Jiangmiao Pang, Linlu Qiu, Xia Li, Haofeng Chen, Qi Li, Trevor Darrell, Fisher Yu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Quasi-Dense Instance Similarity Learning.

Jiangmiao Pang, Linlu Qiu, Haofeng Chen, Qi Li, Trevor Darrell, Fisher Yu

CoRR, 2020