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2020 – today
- 2024
[c11]Jooyoung Lee, Fan Yang, Thanh Tran, Qian Hu, Emre Barut, Kai-Wei Chang:
Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought. LREC/COLING 2024: 2835-2843- [c10]Danfeng Guo, Sanchit Agarwal, Arpit Gupta, Jiun-Yu Kao, Emre Barut, Tagyoung Chung, Jing Huang, Mohit Bansal:
Prompting Vision-Language Models For Aspect-Controlled Generation of Referring Expressions. NAACL-HLT (Findings) 2024: 2793-2807 - [i2]Jooyoung Lee, Fan Yang, Thanh Tran, Qian Hu, Emre Barut, Kai-Wei Chang, Chengwei Su:
Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought. CoRR abs/2404.03414 (2024) - 2023
- [c9]Prashan Wanigasekara
, Rafid Al-Humaimidi, Turan Gojayev, Niloofar Gheissari, Achal Dave, Stephen Rawls, Fan Yang, Kechen Qin, Nalin Gupta, Spurthi Sandiri, Chevanthie Dissanayake, Zeynab Raeesy, Emre Barut, Chengwei Su:
Visual Item Selection With Voice Assistants: A systems perspective. WWW (Companion Volume) 2023: 500-507 - 2022
- [c8]Sanchit Agarwal, Jan Jezabek, Arijit Biswas, Emre Barut, Bill Gao, Tagyoung Chung:
Building Goal-Oriented Dialogue Systems with Situated Visual Context. AAAI 2022: 13149-13151 - [c7]Hongfei Du, Emre Barut, Juntao Su:
Build Connections Between Two Groups of Images Using Deep Learning Method. COMPSAC 2022: 1231-1236 - [c6]Prashan Wanigasekara, Nalin Gupta, Fan Yang, Emre Barut, Zeynab Raeesy, Kechen Qin, Stephen Rawls, Xinyue Liu, Chengwei Su, Spurthi Sandiri:
Multimodal Context Carryover. EMNLP (Industry Track) 2022: 417-428 - [c5]Prashan Wanigasekara, Kechen Qin, Emre Barut, Yang Fan, Weitong Ruan, Chengwei Su:
Semantic VL-BERT: Visual Grounding via Attribute Learning. IJCNN 2022: 1-8 - 2021
- [c4]Hongfei Du, Emre Barut, Fang Jin:
Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks. AAAI 2021: 12078-12085 - [c3]Ge Yu, Emre Barut, Chengwei Su:
Introducing Deep Reinforcement Learning to Nlu Ranking Tasks. ICASSP 2021: 3465-3469 - [c2]Shunyan Luo, Emre Barut, Fang Jin:
Statistically Consistent Saliency Estimation. ICCV 2021: 725-733 - [c1]Tzu-Hsiang Lin, Yipeng Shi, Chentao Ye, Yang Fan, Weitong Ruan, Emre Barut, Wael Hamza, Chengwei Su:
Contextual Domain Classification with Temporal Representations. NAACL-HLT (Industry Papers) 2021: 41-48 - [i1]Sanchit Agarwal, Jan Jezabek, Arijit Biswas, Emre Barut, Shuyang Gao, Tagyoung Chung:
Building Goal-Oriented Dialogue Systems with Situated Visual Context. CoRR abs/2111.11576 (2021)
2010 – 2019
- 2014
- [j1]Emre Barut, Warren B. Powell:
Optimal learning for sequential sampling with non-parametric beliefs. J. Glob. Optim. 58(3): 517-543 (2014)
Coauthor Index
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