Fetching the paper…
Reading the bibliography…
Large language models (LLMs) have grown in popularity due to their natural language interface and pre trained knowledge, leading to rapidly increasing success in question-answering (QA) tasks.
What should i do now? marrying reinforcement learning and symbolic planning
Daniel Gordon, Dieter Fox, and Ali Farhadi. 2019 · 1901
Earlier work this paper cites.
Random forests
Leo Breiman. 2001 · 2001
Earlier work this paper cites.
Matterport3d: Learning from rgb-d data in indoor environments
Angel Chang, Angela Dai, Thomas Funkhouser, Maciej Halber, Matthias Niessner, Manolis Savva, Shuran Song, Andy Zeng, and Yinda Zhang. 2017 · 2017
Earlier work this paper cites.
Embodied question answering
Abhishek Das, Samyak Datta, Georgia Gkioxari, Stefan Lee, Devi Parikh, and Dhruv Batra. 2018 · 2018
Earlier work this paper cites.
All models are wrong, but many are useful: Learning a variable’s importance by studying an entire class of prediction models simultaneously
Aaron Fisher, Cynthia Rudin, and Francesca Dominici. 2018 · 2018
Earlier work this paper cites.
Iqa: Visual question answering in interactive environments
Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, and Ali Farhadi. 2018 · 2018
Earlier work this paper cites.
Audio-visual embodied navigation
Changan Chen, Unnat Jain, Carl Schissler, Sebastia Vicenc Amengual Gari, Ziad Al-Halah, Vamsi Krishna Ithapu, Philip Robinson, and Kristen Grauman. 2019 · 2019
Earlier work this paper cites.
Segeqa: Video segmentation based visual attention for embodied question answering
Haonan Luo, Guosheng Lin, Zichuan Liu, Fayao Liu, Zhenmin Tang, and Yazhou Yao. 2019 · 2019
Earlier work this paper cites.
Embodied question answering in photorealistic environments with point cloud perception
Erik Wijmans, Samyak Datta, Oleksandr Maksymets, Abhishek Das, Georgia Gkioxari, Stefan Lee, Irfan Essa, Devi Parikh, and Dhruv Batra. 2019 · 2019
Earlier work this paper cites.
Multi-target embodied question answering
Licheng Yu, Xinlei Chen, Georgia Gkioxari, Mohit Bansal, Tamara L Berg, and Dhruv Batra. 2019 · 2019
Earlier work this paper cites.
Multi-agent embodied question answering in interactive environments
Sinan Tan, Weilai Xiang, Huaping Liu, Di Guo, and Fuchun Sun. 2020 · 2020
Earlier work this paper cites.
Habitat-matterport 3d dataset (hm3d): 1000 large-scale 3d environments for embodied ai
Santhosh K Ramakrishnan, Aaron Gokaslan, Erik Wijmans, Oleksandr Maksymets, Alex Clegg, John Turner, Eric Undersander, Wojciech Galuba, Andrew Westbury, Angel X Chang, et al. 2021 · 2021
Earlier work this paper cites.
Multi-Agent Systems: Technical &; Ethical Challenges of Functioning in a Mixed Group
Kobi Gal and Barbara J. Grosz. 2022 · 2022
Earlier work this paper cites.
Grounded language-image pre-training
Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, et al. 2022 · 2022
Cited alongside, same era.
Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou. 2022 · 2022
Cited alongside, same era.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al. 2022 · 2022
Cited alongside, same era.
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023 · 2023
Cited alongside, same era.
Chateval: Towards better llm-based evaluators through multi-agent debate
Habitat 3.0: A co-habitat for humans, avatars and robots
Xavier Puig, Eric Undersander, Andrew Szot, Mikael Dallaire Cote, Tsung-Yen Yang, Ruslan Partsey, Ruta Desai, Alexander William Clegg, Michal Hlavac, So Yeon Min, et al. 2023 · 2023
Later among the works it cites.
Getting MoRE out of mixture of language model reasoning experts
Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, and Jordan Boyd-Graber. 2023 · 2023
Later among the works it cites.
Embodied referring expression for manipulation question answering in interactive environment
Qie Sima, Sinan Tan, Huaping Liu, Fuchun Sun, Weifeng Xu, and Ling Fu. 2023 · 2023
Later among the works it cites.
Knowledge-based embodied question answering
Sinan Tan, Mengmeng Ge, Di Guo, Huaping Liu, and Fuchun Sun. 2023 · 2023
Later among the works it cites.
Autogen: Enabling next-gen llm applications via multi-agent conversation framework
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, and Chi Wang. 2023 · 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, and Zhiyuan Liu. 2023 · 2023
Cited alongside, same era.
Vishnu Sashank Dorbala, James F Mullen Jr, and Dinesh Manocha. 2023 · 2023
Cited alongside, same era.
Improving factuality and reasoning in language models through multiagent debate
Yilun Du, Shuang Li, Antonio Torralba, Joshua B Tenenbaum, and Igor Mordatch. 2023 · 2023
Cited alongside, same era.
Botchat: Evaluating llms’ capabilities of having multi-turn dialogues
Haodong Duan, Jueqi Wei, Chonghua Wang, Hongwei Liu, Yixiao Fang, Songyang Zhang, Dahua Lin, and Kai Chen. 2023 · 2023
Cited alongside, same era.
LLM-blender: Ensembling large language models with pairwise ranking and generative fusion
Dongfu Jiang, Xiang Ren, and Bill Yuchen Lin. 2023 · 2023
Cited alongside, same era.
Evaluating open-domain question answering in the era of large language models
Ehsan Kamalloo, Nouha Dziri, Charles Clarke, and Davood Rafiei. 2023 · 2023
Cited alongside, same era.
Prd: Peer rank and discussion improve large language model based evaluations
Ruosen Li, Teerth Patel, and Xinya Du. 2023 · 2023
Cited alongside, same era.
Robust-eqa: robust learning for embodied question answering with noisy labels
Haonan Luo, Guosheng Lin, Fumin Shen, Xingguo Huang, Yazhou Yao, and Hengtao Shen. 2023 · 2023
Cited alongside, same era.
Later among the works it cites.
Examining inter-consistency of large language models collaboration: An in-depth analysis via debate
Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, and Bing Qin. 2023 · 2023
Later among the works it cites.
Excalibur: Encouraging and evaluating embodied exploration
Hao Zhu, Raghav Kapoor, So Yeon Min, Winson Han, Jiatai Li, Kaiwen Geng, Graham Neubig, Yonatan Bisk, Aniruddha Kembhavi, and Luca Weihs. 2023 · 2023
Later among the works it cites.
Alfonso Amayuelas, Xianjun Yang, Antonis Antoniades, Wenyue Hua, Liangming Pan, and William Wang. 2024 · 2024
Closest in time.
Junyou Li, Qin Zhang, Yangbin Yu, Qiang Fu, and Deheng Ye. 2024 · 2024
Closest in time.
Openeqa: Embodied question answering in the era of foundation models
Arjun Majumdar, Anurag Ajay, Xiaohan Zhang, Pranav Putta, Sriram Yenamandra, Mikael Henaff, Sneha Silwal, Paul Mcvay, Oleksandr Maksymets, Sergio Arnaud, Karmesh Yadav, Qiyang Li, Ben Newman, Mohit Sharma, Vincent Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan, Franziska Meier, Chris Paxton, Sasha Sax, and Aravind Rajeswaran. 2024 · 2024
Closest in time.
Cinepile: A long video question answering dataset and benchmark
Ruchit Rawal, Khalid Saifullah, Ronen Basri, David Jacobs, Gowthami Somepalli, and Tom Goldstein. 2024 · 2024
Closest in time.
Evaluating zero-shot gpt-4v performance on 3d visual question answering benchmarks
Simranjit Singh, Georgios Pavlakos, and Dimitrios Stamoulis. 2024 · 2024
Closest in time.
Llm voting: Human choices and ai collective decision making
Joshua C Yang, Marcin Korecki, Damian Dailisan, Carina I Hausladen, and Dirk Helbing. 2024 · 2024
Closest in time.