Dan Friedman

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 23

Top Topics

Question Answering

Top Venues

Publications

Dan Friedman, Abhishek Panigrahi, Danqi Chen
Representing Rule-based Chatbots with Transformers. CoRR (2024)
Adithya Bhaskar, Dan Friedman, Danqi Chen
The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models. CoRR (2024)
Adithya Bhaskar, Alexander Wettig, Dan Friedman, Danqi Chen
Finding Transformer Circuits with Edge Pruning. CoRR (2024)
Dan Friedman, Alexander Wettig, Danqi Chen
Learning Transformer Programs. CoRR (2023)
Chenglei Si, Dan Friedman, Nitish Joshi, Shi Feng, Danqi Chen, He He
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations. ACL (1) (2023)
R. Thomas McCoy, Shunyu Yao, Dan Friedman, Matthew Hardy, Thomas L. Griffiths
Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve. CoRR (2023)
Chenglei Si, Dan Friedman, Nitish Joshi, Shi Feng, Danqi Chen, He He
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations. CoRR (2023)
Dan Friedman, Adji Bousso Dieng
The Vendi Score: A Diversity Evaluation Metric for Machine Learning. Trans. Mach. Learn. Res. 2023 (2023)
Dan Friedman, Andrew Lampinen, Lucas Dixon, Danqi Chen, Asma Ghandeharioun
Interpretability Illusions in the Generalization of Simplified Models. CoRR (2023)
Dan Friedman, Alexander Wettig, Danqi Chen
Learning Transformer Programs. NeurIPS (2023)
Dan Friedman, Adji Bousso Dieng
The Vendi Score: A Diversity Evaluation Metric for Machine Learning. CoRR (2022)
Dan Friedman, Alexander Wettig, Danqi Chen
Finding Dataset Shortcuts with Grammar Induction. CoRR (2022)
Dan Friedman, Alexander Wettig, Danqi Chen
Finding Dataset Shortcuts with Grammar Induction. EMNLP (2022)
Dan Friedman, Ben Dodge, Danqi Chen
Single-dataset Experts for Multi-dataset Question Answering. CoRR (2021)
Zexuan Zhong, Dan Friedman, Danqi Chen
Factual Probing Is [MASK]: Learning vs. Learning to Recall. NAACL-HLT (2021)
Dan Friedman, Ben Dodge, Danqi Chen
Single-dataset Experts for Multi-dataset Question Answering. EMNLP (1) (2021)
Zexuan Zhong, Dan Friedman, Danqi Chen
Factual Probing Is [MASK]: Learning vs. Learning to Recall. CoRR (2021)
Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. AAAI (2019)
Jungo Kasai, Dan Friedman, Robert Frank, Dragomir R. Radev, Owen Rambow
Syntax-aware Neural Semantic Role Labeling with Supertags. NAACL-HLT (1) (2019)
Jungo Kasai, Dan Friedman, Robert Frank, Dragomir R. Radev, Owen Rambow
Syntax-aware Neural Semantic Role Labeling with Supertags. CoRR (2019)
Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. CoRR (2019)
Yoel Zeldes, Stavros Theodorakis, Efrat Solodnik, Aviv Rotman, Gil Chamiel, Dan Friedman
Deep density networks and uncertainty in recommender systems. CoRR (2017)
Dan Friedman, Jungo Kasai, R. Thomas McCoy, Robert Frank, Forrest Davis, Owen Rambow
Linguistically Rich Vector Representations of Supertags for TAG Parsing. TAG (2017)
J. Robinson, Dan Friedman, Martha Steenstrup
Congestion control in BBN packet-switched networks. Comput. Commun. Rev. 20 (1) (1990)