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2020 – today
- 2024
[c23]Shih-Cheng Huang, Shih-Heng Wang, Min-Han Shih, Saurav Sahay, Hung-yi Lee:
Systematic Analysis for Pretrained Language Model Priming for Parameter-Efficient Fine-tuning. NAACL (Student Research Workshop) 2024: 1-7- [i31]Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd
, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren:
Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR abs/2404.12241 (2024) - [i30]Shachi H. Kumar, Saurav Sahay, Sahisnu Mazumder, Eda Okur, Ramesh Manuvinakurike, Nicole Beckage, Hsuan Su, Hung-yi Lee, Lama Nachman:
Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models. CoRR abs/2408.03907 (2024) - 2023
- [c22]Eda Okur, Roddy Fuentes-Alba, Saurav Sahay, Lama Nachman:
Inspecting Spoken Language Understanding from Kids for Basic Math Learning at Home. BEA@ACL 2023: 692-708 - [i29]Hsuan Su, Shachi H. Kumar, Sahisnu Mazumder, Wenda Chen, Ramesh Manuvinakurike, Eda Okur, Saurav Sahay, Lama Nachman, Shang-Tse Chen, Hung-yi Lee:
Position Matters! Empirical Study of Order Effect in Knowledge-grounded Dialogue. CoRR abs/2302.05888 (2023) - [i28]Sumanta Bhattacharyya, Ramesh Manuvinakurike, Sahisnu Mazumder, Saurav Sahay:
Sample Efficient Multimodal Semantic Augmentation for Incremental Summarization. CoRR abs/2303.04361 (2023) - [i27]Eda Okur, Roddy Fuentes-Alba, Saurav Sahay, Lama Nachman:
Inspecting Spoken Language Understanding from Kids for Basic Math Learning at Home. CoRR abs/2306.00482 (2023) - [i26]Hsuan Su, Cheng-Chu Cheng, Hua Farn, Shachi H. Kumar, Saurav Sahay, Shang-Tse Chen, Hung-yi Lee:
Learning from Red Teaming: Gender Bias Provocation and Mitigation in Large Language Models. CoRR abs/2310.11079 (2023) - [i25]Ramesh Manuvinakurike, Saurav Sahay, Sangeeta Manepalli, Lama Nachman:
Zero-shot Conversational Summarization Evaluations with small Large Language Models. CoRR abs/2311.18041 (2023) - 2022
- [c21]Shachi H. Kumar, Hsuan Su, Ramesh Manuvinakurike, Maximilian Pinaroc, Sai Prasad, Saurav Sahay, Lama Nachman:
Cue-bot: A Conversational Agent for Assistive Technology. ACL (demo) 2022: 196-203 - [c20]Maximillian Chen, Weiyan Shi, Feifan Yan, Ryan Hou, Jingwen Zhang, Saurav Sahay, Zhou Yu:
Seamlessly Integrating Factual Information and Social Content with Persuasive Dialogue. AACL/IJCNLP (1) 2022: 399-413 - [c19]Eda Okur, Saurav Sahay, Lama Nachman:
Data Augmentation with Paraphrase Generation and Entity Extraction for Multimodal Dialogue System. LREC 2022: 4114-4125 - [c18]Shachi H. Kumar, Hsuan Su, Ramesh Manuvinakurike, Max Pinaroc, Sai Prasad, Saurav Sahay, Lama Nachman:
CueBot: Cue-Controlled Response Generation for Assistive Interaction Usages. SLPAT@ACL 2022: 66-79 - [i24]Maximillian Chen, Weiyan Shi, Feifan Yan, Ryan Hou, Jingwen Zhang, Saurav Sahay, Zhou Yu:
Seamlessly Integrating Factual Information and Social Content with Persuasive Dialogue. CoRR abs/2203.07657 (2022) - [i23]Eda Okur, Saurav Sahay, Lama Nachman:
Data Augmentation with Paraphrase Generation and Entity Extraction for Multimodal Dialogue System. CoRR abs/2205.04006 (2022) - [i22]Eda Okur, Saurav Sahay, Lama Nachman:
NLU for Game-based Learning in Real: Initial Evaluations. CoRR abs/2205.13754 (2022) - [i21]Hsuan Su, Po-Han Chi, Shih-Cheng Huang, Ho-Lam Chung, Saurav Sahay, Shang-Tse Chen, Hung-Yi Lee:
Few-shot Prompting Towards Controllable Response Generation. CoRR abs/2206.03931 (2022) - [i20]Ramesh Manuvinakurike, Sovan Biswas, Giuseppe Raffa, Richard Beckwith, Anthony Rhodes, Meng Shi, Gesem Gudino Mejia, Saurav Sahay, Lama Nachman:
Human in the loop approaches in multi-modal conversational task guidance system development. CoRR abs/2211.01824 (2022) - [i19]Eda Okur, Saurav Sahay, Roddy Fuentes-Alba, Lama Nachman:
End-to-End Evaluation of a Spoken Dialogue System for Learning Basic Mathematics. CoRR abs/2211.03511 (2022) - [i18]Shih-Cheng Huang, Shih-Heng Wang, Min-Han Shih, Saurav Sahay, Hung-yi Lee:
General Framework for Self-Supervised Model Priming for Parameter-Efficient Fine-tuning. CoRR abs/2212.01032 (2022) - 2021
- [c17]Xueyuan Lu, Saurav Sahay, Zhou Yu, Lama Nachman:
ACAT-G: An Interactive Learning Framework for Assisted Response Generation. AAAI 2021: 16084-16086 - [c16]Weiyan Shi, Yu Li, Saurav Sahay, Zhou Yu:
Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstration. EMNLP (Findings) 2021: 3478-3492 - [c15]Hsuan Su, Jiun-Hao Jhan, Fan-Yun Sun, Saurav Sahay, Hung-yi Lee:
Put Chatbot into Its Interlocutor's Shoes: New Framework to Learn Chatbot Responding with Intention. NAACL-HLT 2021: 1559-1569 - [c14]Ramesh Manuvinakurike, Saurav Sahay, Wenda Chen, Lama Nachman:
Incremental temporal summarization in multi-party meetings. SIGDIAL 2021: 530-541 - [i17]Hsuan Su, Jiun-Hao Jhan, Fan-Yun Sun, Saurav Sahay, Hung-yi Lee:
Put Chatbot into Its Interlocutor's Shoes: New Framework to Learn Chatbot Responding with Intention. CoRR abs/2103.16429 (2021) - [i16]Saurav Sahay, Eda Okur, Nagib Hakim, Lama Nachman:
Semi-supervised Interactive Intent Labeling. CoRR abs/2104.13406 (2021) - [i15]Shachi H. Kumar, Hsuan Su, Ramesh Manuvinakurike, Saurav Sahay, Lama Nachman:
Controllable Response Generation for Assistive Use-cases. CoRR abs/2112.02246 (2021) - 2020
- [j2]Shachi H. Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman:
Investigating topics, audio representations and attention for multimodal scene-aware dialog. Comput. Speech Lang. 64: 101102 (2020) - [c13]Weiyan Shi, Xuewei Wang, Yoojung Oh, Jingwen Zhang, Saurav Sahay, Zhou Yu:
Effects of Persuasive Dialogues: Testing Bot Identities and Inquiry Strategies. CHI 2020: 1-13 - [i14]Weiyan Shi, Xuewei Wang, Yoojung Oh, Jingwen Zhang, Saurav Sahay, Zhou Yu:
Effects of Persuasive Dialogues: Testing Bot Identities and Inquiry Strategies. CoRR abs/2001.04564 (2020) - [i13]Saurav Sahay, Eda Okur, Shachi H. Kumar, Lama Nachman:
Low Rank Fusion based Transformers for Multimodal Sequences. CoRR abs/2007.02038 (2020) - [i12]Eda Okur, Shachi H. Kumar, Saurav Sahay, Lama Nachman:
Audio-Visual Understanding of Passenger Intents for In-Cabin Conversational Agents. CoRR abs/2007.03876 (2020) - [i11]Weiyan Shi, Yu Li, Saurav Sahay, Zhou Yu:
Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstration. CoRR abs/2012.15375 (2020)
2010 – 2019
- 2019
- [c12]Eda Okur, Shachi H. Kumar, Saurav Sahay, Asli Arslan Esme, Lama Nachman:
Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances. CICLing (2) 2019: 334-350 - [i10]Shachi H. Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman:
Leveraging Topics and Audio Features with Multimodal Attention for Audio Visual Scene-Aware Dialog. ViGIL@NeurIPS 2019 - [i9]Eda Okur, Shachi H. Kumar, Saurav Sahay, Asli Arslan Esme, Lama Nachman:
Conversational Intent Understanding for Passengers in Autonomous Vehicles. CoRR abs/1901.04899 (2019) - [i8]Eda Okur, Shachi H. Kumar, Saurav Sahay, Asli Arslan Esme, Lama Nachman:
Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances. CoRR abs/1904.10500 (2019) - [i7]Eda Okur, Shachi H. Kumar, Saurav Sahay, Lama Nachman:
Towards Multimodal Understanding of Passenger-Vehicle Interactions in Autonomous Vehicles: Intent/Slot Recognition Utilizing Audio-Visual Data. CoRR abs/1909.13714 (2019) - [i6]Saurav Sahay, Shachi H. Kumar, Eda Okur, Haroon Syed, Lama Nachman:
Modeling Intent, Dialog Policies and Response Adaptation for Goal-Oriented Interactions. CoRR abs/1912.10130 (2019) - [i5]Shachi H. Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman:
Leveraging Topics and Audio Features with Multimodal Attention for Audio Visual Scene-Aware Dialog. CoRR abs/1912.10131 (2019) - [i4]Shachi H. Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman:
Exploring Context, Attention and Audio Features for Audio Visual Scene-Aware Dialog. CoRR abs/1912.10132 (2019) - 2018
- [i3]Saurav Sahay, Shachi H. Kumar, Rui Xia, Jonathan Huang, Lama Nachman:
Multimodal Relational Tensor Network for Sentiment and Emotion Classification. CoRR abs/1806.02923 (2018) - [i2]Shachi H. Kumar, Eda Okur, Saurav Sahay, Juan Jose Alvarado Leanos, Jonathan Huang, Lama Nachman:
Context, Attention and Audio Feature Explorations for Audio Visual Scene-Aware Dialog. CoRR abs/1812.08407 (2018) - 2017
- [c11]George Kennedy, Andrew McCollough, Edward Dixon, Alexei Bastidas, John Ryan, Chris Loo, Saurav Sahay:
Technology Solutions to Combat Online Harassment. ALW@ACL 2017: 73-77 - 2016
- [c10]Dawn Nafus, Pete Denman, Lenitra Durham, Omar Florez, Lama Nachman, Saurav Sahay, Evan Savage, Sangita Sharma, Devon Strawn, Rita H. Wouhaybi:
As Simple as Possible but No Simpler: Creating Flexibility in Personal Informatics. CHI Extended Abstracts 2016: 1445-1452 - [i1]Ayush Pandey, Subhamoy Mahajan, Adarsh Kosta, Dhananjay Yadav, Vikas Pandey, Saurav Sahay, Siddharth Jha, Shubh Agarwal, Aashay Bhise, Raushan Kumar, Aniket Bhushan, Vraj Parikh, Ankit Lohani, Saurabh Dash, Himanshu Choudhary, Rahul Kumar, Anurag Sharma, Arnab Mondal, Chendika Karthik Sai, P. N. Vamshi:
Low Cost Autonomous Navigation and Control of a Mechanically Balanced Bicycle with Dual Locomotion Mode. CoRR abs/1611.00331 (2016) - 2015
- [c9]Michel Assayag, Jonathan Huang, Jonathan Mamou, Oren Pereg, Saurav Sahay, Oren Shamir, Georg Stemmer, Moshe Wasserblat:
Meeting assistant application. INTERSPEECH 2015: 734-735 - 2012
- [c8]Saurav Sahay, Ashwin Ram:
Socio-semantic conversational information access. WWW (Companion Volume) 2012: 807-814 - 2011
- [b1]Saurav Sahay:
Socio-semantic conversational information access. Georgia Institute of Technology, Atlanta, GA, USA, 2011 - [c7]Saurav Sahay, Ashwin Ram:
Socio-Semantic Health Information Access. AAAI Spring Symposium: AI and Health Communication 2011 - [c6]Saurav Sahay:
Intentional Analysis of Medical Conversations for Community Engagement. FLAIRS 2011 - [c5]Ashwin Ram, Hua Ai, Preetha Ram, Saurav Sahay:
Open social learning communities. WIMS 2011: 2
2000 – 2009
- 2008
- [j1]Saurav Sahay, Sougata Mukherjea, Eugene Agichtein, Ernest V. Garcia, Shamkant B. Navathe, Ashwin Ram:
Discovering semantic biomedical relations utilizing the Web. ACM Trans. Knowl. Discov. Data 2(1): 3:1-3:15 (2008) - [c4]Saurav Sahay, Bharat Ravisekar, Sundaresan Venkatasubramanian, Anushree Venkatesh, Priyanka Prabhu, Ashwin Ram:
iReMedI- Intelligent Retrieval from Medical Information. ECCBR 2008: 487-502 - 2007
- [c3]Saurav Sahay, Baoli Li, Ernest V. Garcia, Eugene Agichtein, Ashwin Ram:
Domain Ontology Construction from Biomedical Text. IC-AI 2007: 28-34 - 2006
- [c2]Sougata Mukherjea, Saurav Sahay:
Discovering Biomedical Relations Utilizing the World-Wide Web. Pacific Symposium on Biocomputing 2006: 164-175 - 2005
- [c1]Nalini Polavarapu, Shamkant B. Navathe, Ramprasad Ramnarayanan, Abrar ul Haque, Saurav Sahay, Ying Liu:
Investigation into Biomedical Literature Classification Using Support Vector Machines. CSB 2005: 366-374
Coauthor Index
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