William W. Cohen's Papers: Retrieval Augmented LMs

  1. Tal Schuster, Adam D. Lelkes, Haitian Sun, Jai Gupta, Jonathan Berant, William W. Cohen, Donald Metzler (2023): SEMQA: Semi-Extractive Multi-Source Question Answering in progress.
  2. Yury Zemlyanskiy, Michiel de Jong, Luke Vilnis, Santiago Ontañón, William W. Cohen, Sumit Sanghai, Joshua Ainslie (2023): MEMORY-VQ: Compression for Tractable Internet-Scale Memory in progress.
  3. Haitian Sun, William W. Cohen, Ruslan Salakhutdinov (2023): Answering Ambiguous Questions with a Database of Questions, Answers, and Revisions in progress.
  4. Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Sumit Sanghai, William W. Cohen, Joshua Ainslie (2023): GLIMMER: generalized late-interaction memory reranker in progress.
  5. Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Joshua Ainslie, Sumit Sanghai, Fei Sha, William W. Cohen (2023): Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute in ICML-2023.
  6. Wenhu Chen, Hexiang Hu, Xi Chen, Pat Verga, William W. Cohen (2023): MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text in EACL-2023.
  7. Michiel de Jong, Yury Zemlyanskiy, Joshua Ainslie, Nicholas FitzGerald, Sumit Sanghai, Fei Sha, William Cohen (2023): FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference in ACL-2023 (Findings).
  8. Wenhu Chen, Hexiang Hu, Chitwan Saharia, William W. Cohen (2023): Re-Imagen: Retrieval-Augmented Text-to-Image Generator in ICLR-2023.
  9. Wenhu Chen, William W. Cohen, Michiel De Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting (2023): QA Is the New KR: Question-Answer Pairs as Knowledge Bases in AAAI-2023.
  10. Haitian Sun, William W. Cohen, Ruslan Salakhutdinov (2023): Scenario-based Question Answering with Interacting Contextual Properties in ICLR-2023.
  11. Bernd Bohnet, Vinh Q. Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni, Tal Schuster, William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, and Kellie Webster (2022): Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models in progress.
  12. Wenhu Chen, Pat Verga, Michiel de Jong, John Wieting, William W. Cohen (2022): Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering in EACL-2022.
  13. Vidhisha Balachandran and Bhuwan Dhingra and Haitian Sun and Michael Collins and William W. Cohen (2021): Investigating the Effect of Background Knowledge on Natural Questions in DeeLIO-2021.
  14. Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Fei Sha, William Cohen (2021): Mention Memory: incorporating textual knowledge into Transformers through entity mention attention in ICLR 2021.
  15. Haitian Sun, William W. Cohen, Ruslan Salakhutdinov (2021): End-to-End Multihop Retrieval for Compositional Question Answering over Long Documents in preparation.
  16. Haitian Sun, Pat Verga, Bhuwan Dhingra, Ruslan Salakhutdinov, William W. Cohen (2021): Reasoning Over Virtual Knowledge Bases With Open Predicate Relations in ICML2021.
  17. Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Wang, William W. Cohen (2021): Open Question Answering Over Tables and Text in ICLR-2021.
  18. Pat Verga, Haitian Sun, Livio Baldini Soares, and William W. Cohen (2021): Adaptable and Interpretable Neural Memory Over Symbolic Knowledge in NAACL-2021.
  19. Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen (2020): Differentiable Open-Ended Commonsense Reasoning in NAACL-2021.
  20. Pat Verga, Haitian Sun, Livio Baldini Soares, and William W. Cohen (2020): Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge in arxiv.
  21. Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen (2020): Differentiable Reasoning over a Virtual Knowledge Base in ICLR-2020.

[Selected papers| By topic: GNAT System| Retrieval Augmented LMs| Applications| Collaborative Filtering| Intelligent Tutoring| Explanation-Based Learning| Formal Results| Learning in Graphs| Inductive Logic Programming| Neural Knowledge Representation| Topic Modeling| Matching/Data Integration| Deep Learning| Rule Learning| Text Categorization| Info Extraction/Reading/QA| By year: All papers]