Dan Iter
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
8
Active years
2011–2024
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | EACL | How Does In-Context Learning Help Prompt Tuning? | Simeng Sun, Yang Liu, Dan Iter, Chenguang Zhu, Mohit Iyyer |
| 2024 | EACL | 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 |
| 2023 | EMNLP | In-Context Demonstration Selection with Cross Entropy Difference. | Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu |
| 2023 | EMNLP | G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment. | Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, Chenguang Zhu |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | Automatic Prompt Optimization with "Gradient Descent" and Beam Search. | Reid Pryzant, Dan Iter, Jerry Li, Yin Tat Lee, Chenguang Zhu, Michael Zeng |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | ICLR | 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 |
| 2022 | ACL | The Trade-offs of Domain Adaptation for Neural Language Models. | David Grangier, Dan Iter |
| 2021 | EMNLP | Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference. | William Barr Held, Dan Iter, Dan Jurafsky |
| 2020 | ACL | Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models. | Dan Iter, Kelvin Guu, Larry Lansing, Dan Jurafsky |
| 2019 | USENIX | 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 |
| 2017 | SIGMOD | Flipper: A Systematic Approach to Debugging Training Sets. | Paroma Varma, Dan Iter, Christopher De Sa, Christopher R |
| 2012 | WSDM | Identifying content for planned events across social media sites. | Hila Becker, Dan Iter, Mor Naaman, Luis Gravano |
| 2011 | ICWSM | Automatic Identification and Presentation of Twitter Content for Planned Events. | Hila Becker, Feiyang Chen, Dan Iter, Mor Naaman, Luis Gravano |