Dan Friedman - RankMe

32 papers A* 5Journal 20Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SPLA: Block Sparse Plus Linear Attention for Long Context Modeling. CoRR Bailin Wang, Dan Friedman, Tao Lei, Chong Wang
2025	J	`jnl`	Extracting Rule-based Descriptions of Attention Features in Transformers. CoRR Dan Friedman, Adithya Bhaskar, Alexander Wettig, Danqi Chen
2025	—	`conf`	Representing Rule-based Chatbots with Transformers. NAACL (Long Papers) Dan Friedman, Abhishek Panigrahi, Danqi Chen
2024	J	`jnl`	Continual Memorization of Factoids in Large Language Models. CoRR Howard Chen, Jiayi Geng, Adithya Bhaskar, Dan Friedman, Danqi Chen
2024	A*	`conf`	Finding Transformer Circuits With Edge Pruning. NeurIPS Adithya Bhaskar, Alexander Wettig, Dan Friedman, Danqi Chen
2024	J	`jnl`	Finding Transformer Circuits with Edge Pruning. CoRR Adithya Bhaskar, Alexander Wettig, Dan Friedman, Danqi Chen
2024	A*	`conf`	Interpretability Illusions in the Generalization of Simplified Models. ICML Dan Friedman, Andrew Kyle Lampinen, Lucas Dixon, Danqi Chen, Asma Ghandeharioun
2024	J	`jnl`	Representing Rule-based Chatbots with Transformers. CoRR Dan Friedman, Abhishek Panigrahi, Danqi Chen
2024	—	`conf`	The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models. ACL (1) Adithya Bhaskar, Dan Friedman, Danqi Chen
2024	J	`jnl`	The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models. CoRR Adithya Bhaskar, Dan Friedman, Danqi Chen
2024	J	`jnl`	When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1. CoRR R. Thomas McCoy, Shunyu Yao, Dan Friedman, Mathew D. Hardy, Thomas L. Griffiths
2023	J	`jnl`	Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve. CoRR R. Thomas McCoy, Shunyu Yao, Dan Friedman, Matthew Hardy, Thomas L. Griffiths
2023	J	`jnl`	Interpretability Illusions in the Generalization of Simplified Models. CoRR Dan Friedman, Andrew K. Lampinen, Lucas Dixon, Danqi Chen, Asma Ghandeharioun
2023	A*	`conf`	Learning Transformer Programs. NeurIPS Dan Friedman, Alexander Wettig, Danqi Chen
2023	J	`jnl`	Learning Transformer Programs. CoRR Dan Friedman, Alexander Wettig, Danqi Chen
2023	—	`conf`	Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations. ACL (1) Chenglei Si, Dan Friedman, Nitish Joshi, Shi Feng, Danqi Chen, He He
2023	J	`jnl`	Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations. CoRR Chenglei Si, Dan Friedman, Nitish Joshi, Shi Feng, Danqi Chen, He He
2023	J	`jnl`	The Vendi Score: A Diversity Evaluation Metric for Machine Learning. Trans. Mach. Learn. Res. Dan Friedman, Adji Bousso Dieng
2022	A*	`conf`	Finding Dataset Shortcuts with Grammar Induction. EMNLP Dan Friedman, Alexander Wettig, Danqi Chen
2022	J	`jnl`	Finding Dataset Shortcuts with Grammar Induction. CoRR Dan Friedman, Alexander Wettig, Danqi Chen
2022	J	`jnl`	The Vendi Score: A Diversity Evaluation Metric for Machine Learning. CoRR Dan Friedman, Adji Bousso Dieng
2021	—	`conf`	Factual Probing Is [MASK]: Learning vs. Learning to Recall. NAACL-HLT Zexuan Zhong, Dan Friedman, Danqi Chen
2021	J	`jnl`	Factual Probing Is [MASK]: Learning vs. Learning to Recall. CoRR Zexuan Zhong, Dan Friedman, Danqi Chen
2021	—	`conf`	Single-dataset Experts for Multi-dataset Question Answering. EMNLP (1) Dan Friedman, Ben Dodge, Danqi Chen
2021	J	`jnl`	Single-dataset Experts for Multi-dataset Question Answering. CoRR Dan Friedman, Ben Dodge, Danqi Chen
2019	A*	`conf`	ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. AAAI Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev
2019	J	`jnl`	ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. CoRR Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev
2019	—	`conf`	Syntax-aware Neural Semantic Role Labeling with Supertags. NAACL-HLT (1) Jungo Kasai, Dan Friedman, Robert Frank, Dragomir R. Radev, Owen Rambow
2019	J	`jnl`	Syntax-aware Neural Semantic Role Labeling with Supertags. CoRR Jungo Kasai, Dan Friedman, Robert Frank, Dragomir R. Radev, Owen Rambow
2017	J	`jnl`	Deep density networks and uncertainty in recommender systems. CoRR Yoel Zeldes, Stavros Theodorakis, Efrat Solodnik, Aviv Rotman, Gil Chamiel, Dan Friedman
2017	—	`conf`	Linguistically Rich Vector Representations of Supertags for TAG Parsing. TAG Dan Friedman, Jungo Kasai, R. Thomas McCoy, Robert Frank, Forrest Davis, Owen Rambow
1990	J	`jnl`	Congestion control in BBN packet-switched networks. Comput. Commun. Rev. J. Robinson, Dan Friedman, Martha Steenstrup