Dan Iter

According to our database, Dan Iter authored at least 26 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents.

Simeng Sun, Yang Liu, Shuohang Wang, Dan Iter, Chenguang Zhu, Mohit Iyyer

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

How Does In-Context Learning Help Prompt Tuning?

Simeng Sun, Yang Liu, Dan Iter, Chenguang Zhu, Mohit Iyyer

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

LMGQS: A Large-scale Dataset for Query-focused Summarization.

Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Chenguang Zhu, Michael Zeng

CoRR, 2023

G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.

Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, Chenguang Zhu

CoRR, 2023

How Does In-Context Learning Help Prompt Tuning?

Simeng Sun, Yang Liu, Dan Iter, Chenguang Zhu, Mohit Iyyer

CoRR, 2023

Generate rather than Retrieve: Large Language Models are Strong Context Generators.

Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models.

Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT.

Yichong Xu, Ruochen Xu, Dan Iter, Yang Liu, Shuohang Wang, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

LMGQS: A Large-scale Dataset for Query-focused Summarization.

Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Pengcheng He, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Automatic Prompt Optimization with "Gradient Descent" and Beam Search.

Reid Pryzant, Dan Iter, Jerry Li, Yin Tat Lee, Chenguang Zhu, Michael Zeng

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions.

Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment.

Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, Chenguang Zhu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

In-Context Demonstration Selection with Cross Entropy Difference.

Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Pre-finetuning methods for domain and task adaptation, with applications to discourse and translation.

Dan Iter

PhD thesis, 2022

The Trade-offs of Domain Adaptation for Neural Language Models.

David Grangier, Dan Iter

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

On the Complementarity of Data Selection and Fine Tuning for Domain Adaptation.

Dan Iter, David Grangier

CoRR, 2021

Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference.

William Held, Dan Iter, Dan Jurafsky

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models.

Dan Iter, Kelvin Guu, Larry Lansing, Dan Jurafsky

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Outsourcing Everyday Jobs to Thousands of Cloud Functions with gg.

Sadjad Fouladi, Francisco Romero, Dan Iter, Qian Li, Alex Ozdemir, Shuvo Chatterjee, Matei Zaharia, Christos Kozyrakis, Keith Winstein

login Usenix Mag., 2019

From Laptop to Lambda: Outsourcing Everyday Jobs to Thousands of Transient Functional Containers.

Sadjad Fouladi, Francisco Romero, Dan Iter, Qian Li, Shuvo Chatterjee, Christos Kozyrakis, Matei Zaharia, Keith Winstein

Proceedings of the 2019 USENIX Annual Technical Conference, 2019

2018

FrameIt: Ontology Discovery for Noisy User-Generated Text.

Dan Iter, Alon Y. Halevy, Wang-Chiew Tan

Proceedings of the 4th Workshop on Noisy User-generated Text, 2018

Automatic Detection of Incoherent Speech for Diagnosing Schizophrenia.

Dan Iter, Jong Yoon, Dan Jurafsky

Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, 2018

2017

Flipper: A Systematic Approach to Debugging Training Sets.

Paroma Varma, Dan Iter, Christopher De Sa, Christopher Ré

Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, 2017

2016

Socratic Learning.

Rose Yu, Paroma Varma, Dan Iter, Christopher De Sa, Christopher Ré

CoRR, 2016

2012

Identifying content for planned events across social media sites.

Hila Becker, Dan Iter, Mor Naaman, Luis Gravano

Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

2011

Automatic Identification and Presentation of Twitter Content for Planned Events.

Hila Becker, Feiyang Chen, Dan Iter, Mor Naaman, Luis Gravano

Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011