Linlu Qiu

30 papers A* 8B 1Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
ARC Is a Vision Problem!
CoRR
Keya Hu, Ali Cy, Linlu Qiu, Xiaoman Delores Ding, Runqian Wang, Yeyin Eva Zhu, Jacob Andreas, Kaiming He
2025 J jnl
Bayesian Teaching Enables Probabilistic Reasoning in Large Language Models.
CoRR
Linlu Qiu, Fei Sha, Kelsey R. Allen, Yoon Kim, Tal Linzen, Sjoerd van Steenkiste
2025 A* conf
On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts.
EMNLP
Linlu Qiu, Cedegao E. Zhang, Joshua B. Tenenbaum, Yoon Kim, Roger P. Levy
2025 J jnl
On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts.
CoRR
Linlu Qiu, Cedegao E. Zhang, Joshua B. Tenenbaum, Yoon Kim, Roger P. Levy
2025 A* conf
The Surprising Effectiveness of Test-Time Training for Few-Shot Learning.
ICML
Ekin Akyürek, Mehul Damani, Adam Zweiger, Linlu Qiu, Han Guo, Jyothish Pari, Yoon Kim, Jacob Andreas
2024 A* conf
Bias Amplification in Language Model Evolution: An Iterated Learning Perspective.
NeurIPS
Yi Ren, Shangmin Guo, Linlu Qiu, Bailin Wang, Danica J. Sutherland
2024 J jnl
Language Model Evolution: An Iterated Learning Perspective.
CoRR
Yi Ren, Shangmin Guo, Linlu Qiu, Bailin Wang, Danica J. Sutherland
2024 A* conf
Learning to Reason via Program Generation, Emulation, and Search.
NeurIPS
Nathaniel Weir, Muhammad Khalifa, Linlu Qiu, Orion Weller, Peter Clark
2024 J jnl
Learning to Reason via Program Generation, Emulation, and Search.
CoRR
Nathaniel Weir, Muhammad Khalifa, Linlu Qiu, Orion Weller, Peter Clark
2024 A* conf
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps.
EMNLP
Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, Ranjay Krishna, Yoon Kim, James R. Glass
2024 J jnl
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps.
CoRR
Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, Ranjay Krishna, Yoon Kim, James R. Glass
2024 A* conf
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement.
ICLR
Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren
2024 — conf
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks.
NAACL-HLT
Zhaofeng Wu, Linlu Qiu, Alexis Ross, Ekin Akyürek, Boyuan Chen, Bailin Wang, Najoung Kim, Jacob Andreas, Yoon Kim
2024 J jnl
The Surprising Effectiveness of Test-Time Training for Abstract Reasoning.
CoRR
Ekin Akyürek, Mehul Damani, Linlu Qiu, Han Guo, Yoon Kim, Jacob Andreas
2023 J jnl
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement.
CoRR
Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren
2023 J jnl
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking.
IEEE Trans. Pattern Anal. Mach. Intell.
Tobias Fischer, Thomas E. Huang, Jiangmiao Pang, Linlu Qiu, Haofeng Chen, Trevor Darrell, Fisher Yu
2023 J jnl
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks.
CoRR
Zhaofeng Wu, Linlu Qiu, Alexis Ross, Ekin Akyürek, Boyuan Chen, Bailin Wang, Najoung Kim, Jacob Andreas, Yoon Kim
2022 A* conf
Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing.
EMNLP
Linlu Qiu, Peter Shaw, Panupong Pasupat, Tianze Shi, Jonathan Herzig, Emily Pitler, Fei Sha, Kristina Toutanova
2022 J jnl
Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing.
CoRR
Linlu Qiu, Peter Shaw, Panupong Pasupat, Tianze Shi, Jonathan Herzig, Emily Pitler, Fei Sha, Kristina Toutanova
2022 B conf
Generate-and-Retrieve: Use Your Predictions to Improve Retrieval for Semantic Parsing.
COLING
Yury Zemlyanskiy, Michiel de Jong, Joshua Ainslie, Panupong Pasupat, Peter Shaw, Linlu Qiu, Sumit Sanghai, Fei Sha
2022 J jnl
Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsing.
CoRR
Yury Zemlyanskiy, Michiel de Jong, Joshua Ainslie, Panupong Pasupat, Peter Shaw, Linlu Qiu, Sumit Sanghai, Fei Sha
2022 — conf
Improving Compositional Generalization with Latent Structure and Data Augmentation.
NAACL-HLT
Linlu Qiu, Peter Shaw, Panupong Pasupat, Pawel Krzysztof Nowak, Tal Linzen, Fei Sha, Kristina Toutanova
2022 J jnl
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking.
CoRR
Tobias Fischer, Jiangmiao Pang, Thomas E. Huang, Linlu Qiu, Haofeng Chen, Trevor Darrell, Fisher Yu
2021 J jnl
Improving Compositional Generalization with Latent Structure and Data Augmentation.
CoRR
Linlu Qiu, Peter Shaw, Panupong Pasupat, Pawel Krzysztof Nowak, Tal Linzen, Fei Sha, Kristina Toutanova
2021 A* conf
Quasi-Dense Similarity Learning for Multiple Object Tracking.
CVPR
Jiangmiao Pang, Linlu Qiu, Xia Li, Haofeng Chen, Qi Li, Trevor Darrell, Fisher Yu
2021 — conf
Systematic Generalization on gSCAN: What is Nearly Solved and What is Next?
EMNLP (1)
Linlu Qiu, Hexiang Hu, Bowen Zhang, Peter Shaw, Fei Sha
2021 J jnl
Systematic Generalization on gSCAN: What is Nearly Solved and What is Next?
CoRR
Linlu Qiu, Hexiang Hu, Bowen Zhang, Peter Shaw, Fei Sha
2021 — conf
Visually Grounded Concept Composition.
EMNLP (Findings)
Bowen Zhang, Hexiang Hu, Linlu Qiu, Peter Shaw, Fei Sha
2021 J jnl
Visually Grounded Concept Composition.
CoRR
Bowen Zhang, Hexiang Hu, Linlu Qiu, Peter Shaw, Fei Sha
2020 J jnl
Quasi-Dense Instance Similarity Learning.
CoRR
Jiangmiao Pang, Linlu Qiu, Haofeng Chen, Qi Li, Trevor Darrell, Fisher Yu