Optimizing Query Evaluations Using Reinforcement Learning for Web Search. - Corby Rosset; Damien Jose; Gargi Ghosh; Bhaskar Mitra 001; Saurabh Tiwary (SIGIR, 2018)

An Axiomatic Approach to Regularizing Neural Ranking Models. - Corby Rosset; Bhaskar Mitra 001; Chenyan Xiong; Nick Craswell; Xia Song; Saurabh Tiwary (SIGIR, 2019)

Generic Intent Representation in Web Search. - Hongfei Zhang; Xia Song; Chenyan Xiong; Corby Rosset; Paul N. Bennett; Nick Craswell; Saurabh Tiwary (SIGIR, 2019)

Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks. - Bhaskar Mitra 001; Corby Rosset; David Hawking; Nick Craswell; Fernando Diaz 001; Emine Yilmaz (CoRR, 2019)

Transformer-XH: Multi-Evidence Reasoning with eXtra Hop Attention. - Chen Zhao 009; Chenyan Xiong; Corby Rosset; Xia Song; Paul N. Bennett; Saurabh Tiwary (ICLR, 2020)

Contextual Re-Ranking with Behavior Aware Transformers. - Chen Qu 001; Chenyan Xiong; Yizhe Zhang 002; Corby Rosset; W. Bruce Croft; Paul N. Bennett (SIGIR, 2020)

Knowledge-Aware Language Model Pretraining. - Corby Rosset; Chenyan Xiong; Minh Phan; Xia Song; Paul N. Bennett; Saurabh Tiwary (CoRR, 2020)

Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories. - Suyu Ge; Chenyan Xiong; Corby Rosset; Arnold Overwijk; Jiawei Han 001; Paul Bennett 001 (EMNLP, 2023)

Axiomatic Preference Modeling for Longform Question Answering. - Corby Rosset; Guoqing Zheng; Victor Dibia; Ahmed Awadallah 001; Paul N. Bennett (EMNLP, 2023)

OVERVIEW OF THE TREC 2023 PRODUCT PRODUCT SEARCH TRACK. - Daniel Campos; Surya Kallumadi; Corby Rosset; Cheng Xiang Zhai; Alessandro Magnani (TREC, 2023)

Zero-shot Clarifying Question Generation for Conversational Search. - Zhenduo Wang; Yuancheng Tu; Corby Rosset; Nick Craswell; Ming Wu; Qingyao Ai (WWW, 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 001 (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)

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; et al. (CoRR, 2023)

LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts. - Helia Hashemi; Jason Eisner; Corby Rosset; Benjamin Van Durme; Chris Kedzie (ACL (1), 2024)

Dodo: Dynamic Contextual Compression for Decoder-only LMs. - Guanghui Qin; Corby Rosset; Ethan C. Chau; Nikhil Rao; Benjamin Van Durme (ACL (1), 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 001; Nikhil Rao 001 (NAACL-HLT (Findings), 2024)

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. - Qi Chen 009; Xiubo Geng; Corby Rosset; Carolyn Buractaon; Jingwen Lu; Tao Shen 001; Kun Zhou 002; Chenyan Xiong; Yeyun Gong; Paul N. Bennett; Nick Craswell; Xing Xie 001; et al. (WWW (Companion Volume), 2024)

Orca-Math: Unlocking the potential of SLMs in Grade School Math. - Arindam Mitra; Hamed Khanpour; Corby Rosset; Ahmed Awadallah 001 (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 001; Jennifer Neville; Nikhil Rao 001 (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 001; Tengyang Xie (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 001; Hany Awadalla; Nguyen Bach; Amit Bahree; Arash Bakhtiari; Harkirat S. Behl; Alon Benhaim; Misha Bilenko; et al. (CoRR, 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; et al. (CoRR, 2024)

Explorer: Scaling Exploration-driven Web Trajectory Synthesis for Multimodal Web Agents. - Vardaan Pahuja; Yadong Lu; Corby Rosset; Boyu Gou; Arindam Mitra; Spencer Whitehead; Yu Su 001; Ahmed Hassan Awadallah (ACL (Findings), 2025)

Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF. - Tengyang Xie; Dylan J. Foster; Akshay Krishnamurthy; Corby Rosset; Ahmed Hassan Awadallah; Alexander Rakhlin (ICLR, 2025)