Corby Rosset

According to our database, Corby Rosset authored at least 24 papers between 2018 and 2024.

Collaborative distances:

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

2024

AgentInstruct: Toward Generative Teaching with Agentic Flows.

Arindam Mitra, Luciano Del Corro, Guoqing Zheng, Shweti Mahajan, Dany Rouhana, Andrés Codas, Yadong Lu, Weige Chen, Olga Vrousgos, Corby Rosset, Fillipe Silva, Hamed Khanpour, Yash Lara, Ahmed Awadallah

CoRR, 2024

Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF.

Tengyang Xie, Dylan J. Foster, Akshay Krishnamurthy, Corby Rosset, Ahmed Awadallah, Alexander Rakhlin

CoRR, 2024

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat S. Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Eric Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Masahiro Tanaka, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou

CoRR, 2024

Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences.

Corby Rosset, Ching-An Cheng, Arindam Mitra, Michael Santacroce, Ahmed Awadallah, Tengyang Xie

CoRR, 2024

Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agents.

Corby Rosset, Ho-Lam Chung, Guanghui Qin, Ethan C. Chau, Zhuo Feng, Ahmed Awadallah, Jennifer Neville, Nikhil Rao

CoRR, 2024

Orca-Math: Unlocking the potential of SLMs in Grade School Math.

Arindam Mitra, Hamed Khanpour, Corby Rosset, Ahmed Awadallah

CoRR, 2024

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels.

Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Automatic Pair Construction for Contrastive Post-training.

Canwen Xu, Corby Rosset, Ethan C. Chau, Luciano Del Corro, Shweti Mahajan, Julian J. McAuley, Jennifer Neville, Ahmed Awadallah, Nikhil Rao

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

Dodo: Dynamic Contextual Compression for Decoder-only LMs.

Guanghui Qin, Corby Rosset, Ethan C. Chau, Nikhil Rao, Benjamin Van Durme

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts.

Helia Hashemi, Jason Eisner, Corby Rosset, Benjamin Van Durme, Chris Kedzie

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Orca 2: Teaching Small Language Models How to Reason.

Arindam Mitra, Luciano Del Corro, Shweti Mahajan, Andrés Codas, Clarisse Simões, Sahaj Agrawal, Xuxi Chen, Anastasia Razdaibiedina, Erik Jones, Kriti Aggarwal, Hamid Palangi, Guoqing Zheng, Corby Rosset, Hamed Khanpour, Ahmed Awadallah

CoRR, 2023

Nugget 2D: Dynamic Contextual Compression for Scaling Decoder-only Language Models.

Guanghui Qin, Corby Rosset, Ethan C. Chau, Nikhil Rao, Benjamin Van Durme

CoRR, 2023

Contrastive Post-training Large Language Models on Data Curriculum.

Canwen Xu, Corby Rosset, Luciano Del Corro, Shweti Mahajan, Julian J. McAuley, Jennifer Neville, Ahmed Hassan Awadallah, Nikhil Rao

CoRR, 2023

Zero-shot Clarifying Question Generation for Conversational Search.

Zhenduo Wang, Yuancheng Tu, Corby Rosset, Nick Craswell, Ming Wu, Qingyao Ai

Proceedings of the ACM Web Conference 2023, 2023

OVERVIEW OF THE TREC 2023 PRODUCT PRODUCT SEARCH TRACK.

Daniel Campos, Surya Kallumadi, Corby Rosset, Cheng Xiang Zhai, Alessandro Magnani

Proceedings of the Thirty-Second Text REtrieval Conference Proceedings (TREC 2023), 2023

Axiomatic Preference Modeling for Longform Question Answering.

Corby Rosset, Guoqing Zheng, Victor Dibia, Ahmed Awadallah, Paul N. Bennett

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

Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories.

Suyu Ge, Chenyan Xiong, Corby Rosset, Arnold Overwijk, Jiawei Han, Paul Bennett

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

2020

Knowledge-Aware Language Model Pretraining.

Corby Rosset, Chenyan Xiong, Minh Phan, Xia Song, Paul N. Bennett, Saurabh Tiwary

CoRR, 2020

Contextual Re-Ranking with Behavior Aware Transformers.

Chen Qu, Chenyan Xiong, Yizhe Zhang, Corby Rosset, W. Bruce Croft, Paul N. Bennett

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Transformer-XH: Multi-Evidence Reasoning with eXtra Hop Attention.

Chen Zhao, Chenyan Xiong, Corby Rosset, Xia Song, Paul N. Bennett, Saurabh Tiwary

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks.

Bhaskar Mitra, Corby Rosset, David Hawking, Nick Craswell, Fernando Diaz, Emine Yilmaz

CoRR, 2019

Generic Intent Representation in Web Search.

Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul N. Bennett, Nick Craswell, Saurabh Tiwary

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

An Axiomatic Approach to Regularizing Neural Ranking Models.

Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song, Saurabh Tiwary

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2018

Optimizing Query Evaluations Using Reinforcement Learning for Web Search.

Corby Rosset, Damien Jose, Gargi Ghosh, Bhaskar Mitra, Saurabh Tiwary

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018