Search Results - "Liden, Lars"

Soloist: Building Task Bots at Scale with Transfer Learning and Machine Teaching by Peng, Baolin, Li, Chunyuan, Li, Jinchao, Shayandeh, Shahin, Liden, Lars, Gao, Jianfeng

“…We present a new method, Soloist, that uses transfer learning and machine teaching to build task bots at scale. We parameterize classical modular task-oriented…”
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S oloist : BuildingTask Bots at Scale with Transfer Learning and Machine Teaching by Peng, Baolin, Li, Chunyuan, Li, Jinchao, Shayandeh, Shahin, Liden, Lars, Gao, Jianfeng

“…Abstract We present a new method, Soloist,1 that uses transfer learning and machine teaching to build task bots at scale. We parameterize classical modular…”
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S oloist : Building Task Bots at Scale with Transfer Learning and Machine Teaching by Peng, Baolin, Li, Chunyuan, Li, Jinchao, Shayandeh, Shahin, Liden, Lars, Gao, Jianfeng

“…We present a new method, , that uses transfer learning and machine teaching to build task bots at scale. We parameterize classical modular task-oriented dialog…”
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Overview of the Ninth Dialog System Technology Challenge: DSTC9 by Gunasekara, Chulaka, Kim, Seokhwan, D'Haro, Luis Fernando, Rastogi, Abhinav, Chen, Yun-Nung, Eric, Mihail, Hedayatnia, Behnam, Gopalakrishnan, Karthik, Liu, Yang, Huang, Chao-Wei, Hakkani-Tur, Dilek, Li, Jinchao, Zhu, Qi, Luo, Lingxiao, Liden, Lars, Huang, Kaili, Shayandeh, Shahin, Liang, Runze, Peng, Baolin, Zhang, Zheng, Shukla, Swadheen, Huang, Minlie, Gao, Jianfeng, Mehri, Shikib, Feng, Yulan, Gordon, Carla, Alavi, Seyed Hossein, Traum, David, Eskenazi, Maxine, Beirami, Ahmad, Cho, Eunjoon, Crook, Paul A., De, Ankita, Geramifard, Alborz, Kottur, Satwik, Moon, Seungwhan, Poddar, Shivani, Subba, Rajen

“…This paper introduces the Ninth Dialog System Technology Challenge (DSTC-9). This edition of the DSTC focuses on applying end-to-end dialog technologies for…”
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Monocular occlusion cues alter the influence of terminator motion in the barber pole phenomenon by Lidén, Lars, Mingolla, Ennio

“…The influence of monocular occlusion cues on the perceived direction of motion of barber pole patterns is examined. Unlike previous studies that have…”
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Latent Action Pretraining from Videos by Ye, Seonghyeon, Jang, Joel, Jeon, Byeongguk, Joo, Sejune, Yang, Jianwei, Peng, Baolin, Mandlekar, Ajay, Tan, Reuben, Chao, Yu-Wei, Lin, Bill Yuchen, Liden, Lars, Lee, Kimin, Gao, Jianfeng, Zettlemoyer, Luke, Fox, Dieter, Seo, Minjoon

“…We introduce Latent Action Pretraining for general Action models (LAPA), an unsupervised method for pretraining Vision-Language-Action (VLA) models without…”
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Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation by Li, Yu, Peng, Baolin, Shen, Yelong, Mao, Yi, Liden, Lars, Yu, Zhou, Gao, Jianfeng

“…Knowledge-grounded dialogue systems are challenging to build due to the lack of training data and heterogeneous knowledge sources. Existing systems perform…”
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GODEL: Large-Scale Pre-Training for Goal-Directed Dialog by Peng, Baolin, Galley, Michel, He, Pengcheng, Brockett, Chris, Liden, Lars, Nouri, Elnaz, Yu, Zhou, Dolan, Bill, Gao, Jianfeng

“…We introduce GODEL (Grounded Open Dialogue Language Model), a large pre-trained language model for dialog. In contrast with earlier models such as DialoGPT,…”
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Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback by Peng, Baolin, Galley, Michel, He, Pengcheng, Cheng, Hao, Xie, Yujia, Hu, Yu, Huang, Qiuyuan, Liden, Lars, Yu, Zhou, Chen, Weizhu, Gao, Jianfeng

“…Large language models (LLMs), such as ChatGPT, are able to generate human-like, fluent responses for many downstream tasks, e.g., task-oriented dialog and…”
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Robust Conversational AI with Grounded Text Generation by Gao, Jianfeng, Peng, Baolin, Li, Chunyuan, Li, Jinchao, Shayandeh, Shahin, Liden, Lars, Shum, Heung-Yeung

“…This article presents a hybrid approach based on a Grounded Text Generation (GTG) model to building robust task bots at scale. GTG is a hybrid model which uses…”
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SOLOIST: Building Task Bots at Scale with Transfer Learning and Machine Teaching by Peng, Baolin, Li, Chunyuan, Li, Jinchao, Shayandeh, Shahin, Liden, Lars, Gao, Jianfeng

“…We present a new method SOLOIST that uses transfer learning and machine teaching to build task bots at scale. We parameterize classical modular task-oriented…”
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BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs by Zhang, Sheng, Xu, Yanbo, Usuyama, Naoto, Xu, Hanwen, Bagga, Jaspreet, Tinn, Robert, Preston, Sam, Rao, Rajesh, Wei, Mu, Valluri, Naveen, Wong, Cliff, Tupini, Andrea, Wang, Yu, Mazzola, Matt, Shukla, Swadheen, Liden, Lars, Gao, Jianfeng, Lungren, Matthew P, Naumann, Tristan, Wang, Sheng, Poon, Hoifung

“…Biomedical data is inherently multimodal, comprising physical measurements and natural language narratives. A generalist biomedical AI model needs to…”
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Conversation Learner -- A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems by Shukla, Swadheen, Liden, Lars, Shayandeh, Shahin, Kamal, Eslam, Li, Jinchao, Mazzola, Matt, Park, Thomas, Peng, Baolin, Gao, Jianfeng

“…Traditionally, industry solutions for building a task-oriented dialog system have relied on helping dialog authors define rule-based dialog managers,…”
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Overview of the Ninth Dialog System Technology Challenge: DSTC9 by Gunasekara, Chulaka, Kim, Seokhwan, D'Haro, Luis Fernando, Rastogi, Abhinav, Chen, Yun-Nung, Eric, Mihail, Hedayatnia, Behnam, Gopalakrishnan, Karthik, Liu, Yang, Huang, Chao-Wei, Hakkani-Tür, Dilek, Li, Jinchao, Zhu, Qi, Luo, Lingxiao, Liden, Lars, Huang, Kaili, Shayandeh, Shahin, Liang, Runze, Peng, Baolin, Zhang, Zheng, Shukla, Swadheen, Huang, Minlie, Gao, Jianfeng, Mehri, Shikib, Feng, Yulan, Gordon, Carla, Alavi, Seyed Hossein, Traum, David, Eskenazi, Maxine, Beirami, Ahmad, Eunjoon, Cho, Crook, Paul A, De, Ankita, Geramifard, Alborz, Kottur, Satwik, Moon, Seungwhan, Poddar, Shivani, Subba, Rajen

“…This paper introduces the Ninth Dialog System Technology Challenge (DSTC-9). This edition of the DSTC focuses on applying end-to-end dialog technologies for…”
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The integration and segmentation of visual motion signals: Experiments and a computational model of cortical mechanisms by Liden, Lars H

“…The computational principles that govern the integration and segmentation of motion signals extracted from the visual array are examined using two methods…”
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A neural network model of motion detection for moving plaid stimuli by Liden, L.

“…The perception of moving plaid stimuli is examined using a recurrent neural network trained on the intersection-of-constraints. It is found that the nodes in…”
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The role of terminators and occlusion cues in motion integration and segmentation: a neural network model by Lidén, Lars, Pack, Christopher

“…The perceptual interaction of terminators and occlusion cues with the functional processes of motion integration and segmentation is examined using a…”
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Behavioral Improvements Associated with Computer-Assisted Instruction for Children with Developmental Disabilities by Whalen, Christina, Liden, Lars, Ingersoll, Brooke, Dallaire, Eric, Liden, Sven

“…TeachTown is a new computer-assisted instruction (CAI) program that utilizes best-practices ABA to teach a variety of skills to young children. Study 1…”
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