no code implementations • 7 Feb 2025 • Meng Lu, Catherine Chen, Carsten Eickhoff
Neural Ranking Models (NRMs) have rapidly advanced state-of-the-art performance on information retrieval tasks.
no code implementations • 17 Jan 2025 • Andrew Parry, Catherine Chen, Carsten Eickhoff, Sean MacAvaney
Mechanistic interpretability is an emerging diagnostic approach for neural models that has gained traction in broader natural language processing domains.
no code implementations • 9 Dec 2024 • Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao, Yushun Dong
In recent years, large language models (LLMs) have been widely adopted in political science tasks such as election prediction, sentiment analysis, policy impact assessment, and misinformation detection.
1 code implementation • 3 May 2024 • Catherine Chen, Jack Merullo, Carsten Eickhoff
Neural models have demonstrated remarkable performance across diverse ranking tasks.
1 code implementation • 26 Oct 2023 • William Rudman, Catherine Chen, Carsten Eickhoff
Representations from large language models (LLMs) are known to be dominated by a small subset of dimensions with exceedingly high variance.
no code implementations • 16 Jun 2023 • Catherine Chen, Carsten Eickhoff
Explainable Information Retrieval (XIR) is a growing research area focused on enhancing transparency and trustworthiness of the complex decision-making processes taking place in modern information retrieval systems.
1 code implementation • 1 Jun 2023 • Catherine Chen, Zejiang Shen, Dan Klein, Gabriel Stanovsky, Doug Downey, Kyle Lo
Recent work has shown that infusing layout features into language models (LMs) improves processing of visually-rich documents such as scientific papers.
no code implementations • 20 Dec 2022 • Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty, Serge Belongie, Kilian Q. Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein
Are multimodal inputs necessary for grammar induction?
no code implementations • 17 Oct 2022 • Catherine Chen, Carsten Eickhoff
In this paper, we use psychometrics and crowdsourcing to identify human-centered factors of explainability in Web search systems and introduce SSE (Search System Explainability), an evaluation metric for explainable IR (XIR) search systems.
no code implementations • NAACL 2021 • Catherine Chen, Kevin Lin, Dan Klein
The tree reconciliation module treats the task as a graph optimization problem and outputs the maximum spanning tree of this graph.
1 code implementation • 24 Feb 2019 • Catherine Chen, Qihong Lu, Andre Beukers, Christopher Baldassano, Kenneth A. Norman
We can perform these bindings for arbitrary fillers -- we understand this sentence even if we have never heard the names "Alice," "tea," or "Bob" before.