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The future of conversational agents will provide users with personalized information responses.
Failure-Driven Reminding for Incremental Learning. In IJCAI
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Towards Conversational Recommender Systems. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Konstantina Christakopoulou, Filip Radlinski, and Katja Hofmann. 2016 · 2016
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A Diversity-Promoting Objective Function for Neural Conversation Models. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
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How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing , Jian Su, Kevin Duh, and Xavier Carreras (Eds.)
Chia-Wei Liu, Ryan Lowe, Iulian Serban, Mike Noseworthy, Laurent Charlin, and Joelle Pineau. 2016 · 2016
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First International Workshop on Conversational Approaches to Information Retrieval (CAIR’17). In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
Hideo Joho, Lawrence Cavedon, Jaime Arguello, Milad Shokouhi, and Filip Radlinski. 2017 · 2017
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Edina: Building an open domain socialbot with self-dialogues
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MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Paweł Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Iñigo Casanueva, Stefan Ultes, Osman Ramadan, and Milica Gašić. 2018 · 2018
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Talking to myself: self-dialogues as data for conversational agents
Joachim Fainberg, Ben Krause, Mihai Dobre, Marco Damonte, Emmanuel Kahembwe, Daniel Duma, Bonnie Webber, and Federico Fancellu. 2018 · 2018
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Bootstrapping a Neural Conversational Agent with Dialogue Self-Play, Crowdsourcing and On-Line Reinforcement Learning. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Pararth Shah, Dilek Hakkani-Tür, Bing Liu, and Gokhan Tür. 2018 · 2018
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Conversational Recommender System. In Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval
Yueming Sun and Yi Zhang. 2018 · 2018
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Yaoming Zhu, Sidi Lu, Lei Zheng, Jiaxian Guo, Weinan Zhang, Jun Wang, and Yong Yu. 2018 · 2018
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Personal Knowledge Graphs: A Research Agenda. In Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval
Krisztian Balog and Tom Kenter. 2019 · 2019
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Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Ben Goodrich, Daniel Duckworth, Semih Yavuz, Amit Dubey, Kyu-Young Kim, and Andy Cedilnik. 2019 · 2019
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Neural Approaches to Conversational AI
Jianfeng Gao, Michel Galley, and Lihong Li. 2019 · 2019
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Acute-eval: Improved dialogue evaluation with optimized questions and multi-turn comparisons
Margaret Li, Jason Weston, and Stephen Roller. 2019 · 2019
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Learning Personalized End-to-end Goal-oriented Dialog. In Proceedings of the AAAI Conference on Artificial Intelligence
Liangchen Luo, Wenhao Huang, Qi Zeng, Zaiqing Nie, and Xu Sun. 2019 · 2019
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Coached Conversational Preference Elicitation: A Case Study in Understanding Movie Preferences. In Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue
Filip Radlinski, Krisztian Balog, Bill Byrne, and Karthik Krishnamoorthi. 2019 · 2019
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Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2020
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Bias in Conversational Search: The Double-Edged Sword of the Personalized Knowledge Graph. In Proceedings of the 2020 ACM SIGIR on International Conference on Theory of Information Retrieval
Emma J. Gerritse, Faegheh Hasibi, and Arjen P. de Vries. 2020 · 2020
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USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Shikib Mehri and Maxine Eskenazi. 2020 · 2020
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Towards Scalable Multi-Domain Conversational Agents: The Schema-Guided Dialogue Dataset
Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta, and Pranav Khaitan. 2020 · 2020
Cited alongside, same era.
REL: An Entity Linker Standing on the Shoulders of Giants. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
Johannes M. van Hulst, Faegheh Hasibi, Koen Dercksen, Krisztian Balog, and Arjen P. de Vries. 2020 · 2020
Cited alongside, same era.
Transformers: State-of-the-Art Natural Language Processing. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, et al · 2020
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Bertscore: Evaluating Text Generation with BERT. In International Conference on Learning Representations
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
Cited alongside, same era.
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
Fabrizio Dell’Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. 2023 · 2023
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Don’t Forget Your ABC’s: Evaluating the State-of-the-Art in Chat-Oriented Dialogue Systems. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics
Sarah E. Finch, James D. Finch, and Jinho D. Choi. 2023 · 2023
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ChatGPT outperforms crowd workers for text-annotation tasks
Fabrizio Gilardi, Meysam Alizadeh, and Maël Kubli. 2023 · 2023
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Faithful Persona-based Conversational Dataset Generation with Large Language Models
Pegah Jandaghi, XiangHai Sheng, Xinyi Bai, Jay Pujara, and Hakim Sidahmed. 2023 · 2023
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Jan Deriu, Alvaro Rodrigo, Arantxa Otegi, Guillermo Echegoyen, Sophie Rosset, Eneko Agirre, and Mark Cieliebak. 2021 · 2021
Cited alongside, same era.
Conversational Entity Linking: Problem Definition and Datasets. In Proceedings of the 44rd International ACM SIGIR Conference on Research and Development in Information Retrieval
Hideaki Joko, Faegheh Hasibi, Krisztian Balog, and Arjen P. de Vries. 2021 · 2021
Cited alongside, same era.
Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions. In Proceedings of the Fifteenth ACM Conference on Recommender Systems
Ivica Kostric, Krisztian Balog, and Filip Radlinski. 2021 · 2021
Cited alongside, same era.
Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Sanghwan Bae, Donghyun Kwak, Sungdong Kim, Donghoon Ham, Soyoung Kang, Sang-Woo Lee, and Woomyoung Park. 2022 · 2022
Cited alongside, same era.
Scaling instruction-finetuned language models
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, et al · 2022
Cited alongside, same era.
Personal Entity, Concept, and Named Entity Linking in Conversations. In Proceedings of the 31st ACM International Conference on Information and Knowledge Management
Hideaki Joko and Faegheh Hasibi. 2022 · 2022
Cited alongside, same era.
BotsTalk: Machine-sourced Framework for Automatic Curation of Large-scale Multi-skill Dialogue Datasets. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Minju Kim, Chaehyeong Kim, Yong Ho Song, Seung-won Hwang, and Jinyoung Yeo. 2022 · 2022
Cited alongside, same era.
PERSONACHATGEN: Generating Personalized Dialogues using GPT-3. In Proceedings of the 1st Workshop on Customized Chat Grounding Persona and Knowledge
Young-Jun Lee, Chae-Gyun Lim, Yunsu Choi, Ji-Hui Lm, and Ho-Jin Choi. 2022 · 2022
Cited alongside, same era.
Hyunwoo Kim, Jack Hessel, Liwei Jiang, Peter West, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, and Yejin Choi. 2023 · 2023
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Generating Usage-related Questions for Preference Elicitation in Conversational Recommender Systems
Ivica Kostric, Krisztian Balog, and Filip Radlinski. 2023 · 2023
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Talk the Walk: Synthetic Data Generation for Conversational Music Recommendation
Megan Leszczynski, Ravi Ganti, Shu Zhang, Krisztian Balog, Filip Radlinski, Fernando Pereira, and Arun Tejasvi Chaganty. 2023 · 2023
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Eliciting Human Preferences with Language Models
Belinda Z. Li, Alex Tamkin, Noah Goodman, and Jacob Andreas. 2023 · 2023
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LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models. In Proceedings of the 5th Workshop on NLP for Conversational AI
Yen-Ting Lin and Yun-Nung Chen. 2023 · 2023
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Lost in the Middle: How Language Models Use Long Contexts
Nelson F Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang. 2023b · 2023
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G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, and Chenguang Zhu. 2023a · 2023
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Self-Refine: Iterative Refinement with Self-Feedback
Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Shashank Gupta, Bodhisattwa Prasad Majumder, Katherine Hermann, Sean Welleck, Amir Yazdanbakhsh, and Peter Clark. 2023 · 2023
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Diminished Diversity-of-Thought in a Standard Large Language Model
Peter S. Park, Philipp Schoenegger, and Chongyang Zhu. 2023 · 2023
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Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Models
Emily Reif, Minsuk Kahng, and Savvas Petridis. 2023 · 2023
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Data Augmentation for Conversational AI. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
Heydar Soudani, Evangelos Kanoulas, and Faegheh Hasibi. 2023 · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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Baize: An open-source chat model with parameter-efficient tuning on self-chat data
Canwen Xu, Daya Guo, Nan Duan, and Julian McAuley. 2023 · 2023
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Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias
Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, and Chao Zhang. 2023 · 2023
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Chatdoctor: A medical chat model fine-tuned on llama model using medical domain knowledge
Li Yunxiang, Li Zihan, Zhang Kai, Dan Ruilong, and Zhang You. 2023 · 2023
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Benchmarking Large Language Models for News Summarization
Tianyi Zhang, Faisal Ladhak, Esin Durmus, Percy Liang, Kathleen McKeown, and Tatsunori B. Hashimoto. 2023 · 2023
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TREC iKAT 2023: The Interactive Knowledge Assistance Track Overview
Mohammad Aliannejadi, Zahra Abbasiantaeb, Shubham Chatterjee, Jeffery Dalton, and Leif Azzopardi. 2024 · 2024
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