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Olga Golovneva
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2020 – today
- 2024
- [i14]Silin Gao, Jane Dwivedi-Yu, Ping Yu, Xiaoqing Ellen Tan, Ramakanth Pasunuru, Olga Golovneva, Koustuv Sinha, Asli Celikyilmaz, Antoine Bosselut, Tianlu Wang:
Efficient Tool Use with Chain-of-Abstraction Reasoning. CoRR abs/2401.17464 (2024) - [i13]Sainbayar Sukhbaatar, Olga Golovneva, Vasu Sharma, Hu Xu, Xi Victoria Lin, Baptiste Rozière, Jacob Kahn, Daniel Li, Wen-tau Yih, Jason Weston, Xian Li:
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM. CoRR abs/2403.07816 (2024) - [i12]Olga Golovneva, Zeyuan Allen-Zhu, Jason Weston, Sainbayar Sukhbaatar:
Reverse Training to Nurse the Reversal Curse. CoRR abs/2403.13799 (2024) - [i11]Olga Golovneva, Tianlu Wang, Jason Weston, Sainbayar Sukhbaatar:
Contextual Position Encoding: Learning to Count What's Important. CoRR abs/2405.18719 (2024) - [i10]Tianhao Wu, Weizhe Yuan, Olga Golovneva, Jing Xu, Yuandong Tian, Jiantao Jiao, Jason Weston, Sainbayar Sukhbaatar:
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge. CoRR abs/2407.19594 (2024) - [i9]Tianlu Wang, Ilia Kulikov, Olga Golovneva, Ping Yu, Weizhe Yuan, Jane Dwivedi-Yu, Richard Yuanzhe Pang, Maryam Fazel-Zarandi, Jason Weston, Xian Li:
Self-Taught Evaluators. CoRR abs/2408.02666 (2024) - 2023
- [c5]Ping Yu, Tianlu Wang, Olga Golovneva, Badr AlKhamissi, Siddharth Verma, Zhijing Jin, Gargi Ghosh, Mona T. Diab, Asli Celikyilmaz:
ALERT: Adapt Language Models to Reasoning Tasks. ACL (1) 2023: 1055-1081 - [c4]Olga Golovneva, Moya Chen, Spencer Poff, Martin Corredor, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz:
ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning. ICLR 2023 - [i8]Tianlu Wang, Ping Yu, Xiaoqing Ellen Tan, Sean O'Brien, Ramakanth Pasunuru, Jane Dwivedi-Yu, Olga Golovneva, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz:
Shepherd: A Critic for Language Model Generation. CoRR abs/2308.04592 (2023) - [i7]Lili Yu, Bowen Shi, Ramakanth Pasunuru, Benjamin Muller, Olga Golovneva, Tianlu Wang, Arun Babu, Binh Tang, Brian Karrer, Shelly Sheynin, Candace Ross, Adam Polyak, Russell Howes, Vasu Sharma, Puxin Xu, Hovhannes Tamoyan, Oron Ashual, Uriel Singer, Shang-Wen Li, Susan Zhang, Richard James, Gargi Ghosh, Yaniv Taigman, Maryam Fazel-Zarandi, Asli Celikyilmaz, Luke Zettlemoyer, Armen Aghajanyan:
Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning. CoRR abs/2309.02591 (2023) - [i6]Peifang Wang, Olga Golovneva, Armen Aghajanyan, Xiang Ren, Muhao Chen, Asli Celikyilmaz, Maryam Fazel-Zarandi:
DOMINO: A Dual-System for Multi-step Visual Language Reasoning. CoRR abs/2310.02804 (2023) - [i5]Olga Golovneva, Sean O'Brien, Ramakanth Pasunuru, Tianlu Wang, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz:
PathFinder: Guided Search over Multi-Step Reasoning Paths. CoRR abs/2312.05180 (2023) - 2022
- [c3]Khadige Abboud, Olga Golovneva, Christopher DiPersio:
Cross-lingual transfer for low-resource Arabic language understanding. WANLP@EMNLP 2022: 225-237 - [i4]Olga Golovneva, Moya Chen, Spencer Poff, Martin Corredor, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz:
ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning. CoRR abs/2212.07919 (2022) - [i3]Ping Yu, Tianlu Wang, Olga Golovneva, Badr AlKhamissy, Gargi Ghosh, Mona T. Diab, Asli Celikyilmaz:
ALERT: Adapting Language Models to Reasoning Tasks. CoRR abs/2212.08286 (2022) - 2020
- [c2]Lizhen Tan, Olga Golovneva:
Evaluating Cross-Lingual Transfer Learning Approaches in Multilingual Conversational Agent Models. COLING (Industry) 2020: 1-9 - [c1]Olga Golovneva, Charith Peris:
Generative Adversarial Networks for Annotated Data Augmentation in Data Sparse NLU. ICON 2020: 117-126 - [i2]Lizhen Tan, Olga Golovneva:
Evaluating Cross-Lingual Transfer Learning Approaches in Multilingual Conversational Agent Models. CoRR abs/2012.03864 (2020) - [i1]Olga Golovneva, Charith Peris:
Generative Adversarial Networks for Annotated Data Augmentation in Data Sparse NLU. CoRR abs/2012.05302 (2020)
Coauthor Index
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