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2020 – today
- 2024
[c8]Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren:
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement. ICLR 2024- [c7]Zhaofeng Wu, Linlu Qiu, Alexis Ross, Ekin Akyürek, Boyuan Chen, Bailin Wang, Najoung Kim, Jacob Andreas, Yoon Kim:
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks. NAACL-HLT 2024: 1819-1862 - [i12]Yi Ren, Shangmin Guo, Linlu Qiu, Bailin Wang, Danica J. Sutherland:
Language Model Evolution: An Iterated Learning Perspective. CoRR abs/2404.04286 (2024) - [i11]Nathaniel Weir, Muhammad Khalifa, Linlu Qiu, Orion Weller, Peter Clark:
Learning to Reason via Program Generation, Emulation, and Search. CoRR abs/2405.16337 (2024) - [i10]Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, Ranjay Krishna, Yoon Kim, James R. Glass:
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps. CoRR abs/2407.07071 (2024) - 2023
- [j1]Tobias Fischer
, Thomas E. Huang, Jiangmiao Pang, Linlu Qiu, Haofeng Chen, Trevor Darrell, Fisher Yu:
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15380-15393 (2023) - [i9]Zhaofeng Wu, Linlu Qiu, Alexis Ross, Ekin Akyürek, Boyuan Chen, Bailin Wang, Najoung Kim, Jacob Andreas, Yoon Kim:
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks. CoRR abs/2307.02477 (2023) - [i8]Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren:
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement. CoRR abs/2310.08559 (2023) - 2022
- [c6]Yury Zemlyanskiy, Michiel de Jong, Joshua Ainslie, Panupong Pasupat, Peter Shaw, Linlu Qiu, Sumit Sanghai, Fei Sha:
Generate-and-Retrieve: Use Your Predictions to Improve Retrieval for Semantic Parsing. COLING 2022: 4946-4951 - [c5]Linlu Qiu, Peter Shaw, Panupong Pasupat, Tianze Shi, Jonathan Herzig, Emily Pitler, Fei Sha, Kristina Toutanova:
Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing. EMNLP 2022: 9157-9179 - [c4]Linlu Qiu, Peter Shaw, Panupong Pasupat, Pawel Krzysztof Nowak, Tal Linzen, Fei Sha, Kristina Toutanova:
Improving Compositional Generalization with Latent Structure and Data Augmentation. NAACL-HLT 2022: 4341-4362 - [i7]Linlu Qiu, Peter Shaw, Panupong Pasupat, Tianze Shi, Jonathan Herzig, Emily Pitler, Fei Sha, Kristina Toutanova:
Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing. CoRR abs/2205.12253 (2022) - [i6]Yury Zemlyanskiy, Michiel de Jong, Joshua Ainslie, Panupong Pasupat, Peter Shaw, Linlu Qiu, Sumit Sanghai, Fei Sha:
Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsing. CoRR abs/2209.14899 (2022) - [i5]Tobias Fischer, Jiangmiao Pang, Thomas E. Huang, Linlu Qiu, Haofeng Chen, Trevor Darrell, Fisher Yu:
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking. CoRR abs/2210.06984 (2022) - 2021
- [c3]Jiangmiao Pang, Linlu Qiu, Xia Li, Haofeng Chen, Qi Li, Trevor Darrell, Fisher Yu:
Quasi-Dense Similarity Learning for Multiple Object Tracking. CVPR 2021: 164-173 - [c2]Bowen Zhang, Hexiang Hu, Linlu Qiu, Peter Shaw, Fei Sha:
Visually Grounded Concept Composition. EMNLP (Findings) 2021: 201-215 - [c1]Linlu Qiu, Hexiang Hu, Bowen Zhang, Peter Shaw, Fei Sha:
Systematic Generalization on gSCAN: What is Nearly Solved and What is Next? EMNLP (1) 2021: 2180-2188 - [i4]Linlu Qiu, Hexiang Hu, Bowen Zhang, Peter Shaw, Fei Sha:
Systematic Generalization on gSCAN: What is Nearly Solved and What is Next? CoRR abs/2109.12243 (2021) - [i3]Bowen Zhang, Hexiang Hu, Linlu Qiu, Peter Shaw, Fei Sha:
Visually Grounded Concept Composition. CoRR abs/2109.14115 (2021) - [i2]Linlu Qiu, Peter Shaw, Panupong Pasupat, Pawel Krzysztof Nowak, Tal Linzen, Fei Sha, Kristina Toutanova:
Improving Compositional Generalization with Latent Structure and Data Augmentation. CoRR abs/2112.07610 (2021) - 2020
- [i1]Jiangmiao Pang, Linlu Qiu, Haofeng Chen, Qi Li, Trevor Darrell, Fisher Yu:
Quasi-Dense Instance Similarity Learning. CoRR abs/2006.06664 (2020)
Coauthor Index
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