Thousands of Small, Constant Rallies: A Large-Scale Analysis of Partisan WhatsApp Groups VS Bursztyn, L Birnbaum IEEE/ACM International Conference on Advances in Social Networks Analysis …, 2019 | 50 | 2019 |
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search Y Zhuang, X Chen, T Yu, S Mitra, V Bursztyn, RA Rossi, S Sarkhel, ... ICLR 2024 - Twelfth International Conference on Learning Representations, 2023 | 38 | 2023 |
Recommending features for content planning based on advertiser polling and historical audience measurements V Bursztyn, JF Dias, A de Almeida Maximo, AB Prado, RDA Senra US Patent 10,448,120, 2019 | 9 | 2019 |
Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models VS Bursztyn, D Demeter, D Downey, L Birnbaum EMNLP 2022 Conference on Empirical Methods in Natural Language Processing …, 2022 | 8 | 2022 |
FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback A Singh, P Agarwal, Z Huang, A Singh, T Yu, S Kim, V Bursztyn, N Vlassis, ... arXiv preprint arXiv:2307.10867, 2023 | 7 | 2023 |
Methods and apparatus for a semantic multi-database data lake RDA Senra, K Breitman, AB Prado, V Bursztyn US Patent 10,901,973, 2021 | 6 | 2021 |
How Brazilian congressmen connect: homophily and cohesion in voting and donation networks VS Bursztyn, MG Nunes, DR Figueiredo Journal of Complex Networks 8 (1), cnaa006, 2020 | 6 | 2020 |
How Congressmen Connect: Analyzing Voting and Donation Networks in the Brazilian Congress VS Bursztyn, MG Nunes, DR Figueiredo V Brazilian Workshop on Social Network Analysis and Mining, 2016 | 6 | 2016 |
Developing a Conversational Recommendation System for Navigating Limited Options VS Bursztyn, J Healey, E Koh, N Lipka, L Birnbaum 2021 CHI Conference on Human Factors in Computing Systems, 1-6, 2021 | 5 | 2021 |
"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems VS Bursztyn, J Healey, N Lipka, E Koh, D Downey, L Birnbaum EMNLP 2021 Conference on Empirical Methods in Natural Language Processing, 2021 | 4 | 2021 |
Rada: Retrieval-augmented web agent planning with llms M Kim, V Bursztyn, E Koh, S Guo, S Hwang Findings of the Association for Computational Linguistics ACL 2024, 13511-13525, 2024 | 3 | 2024 |
Gaudí: Conversational Interactions with Deep Representations to Generate Image Collections VS Bursztyn, J Healey, V Vinay NeurIPS 2021 Workshop on Machine Learning for Creativity and Design, 2021 | 2 | 2021 |
3DbyStep: A Tool For Authoring 3D Presentations ET Nogueira, C Esperança, VS Bursztyn SIBGRAPI 2007, 2007 | 2 | 2007 |
How Aligned are Human Chart Takeaways and LLM Predictions? A Case Study on Bar Charts with Varying Layouts HW Wang, J Hoffswell, VS Bursztyn, CX Bearfield IEEE Transactions on Visualization and Computer Graphics, 2024 | 1 | 2024 |
Scientific Workflows with Support of Knowledge Bases VS Bursztyn Universidade Federal do Rio de Janeiro, 2017 | 1 | 2017 |
Workflows Científicos com Apoio de Bases de Conhecimento em Tempo Real VS Bursztyn, J Dias, M Mattoso Brazilian e-Science Workshop, 2016 | 1 | 2016 |
Modelagem e Visualização de Protótipos 3D Apoiando Soluções da Indústria de Energia E Nogueira, D Gomes, V Bursztyn, C Esperança BLENDER PRO, SBCGAMES, 2007 | 1 | 2007 |
Hallucination prevention for natural language insights W Zhang, VS Bursztyn US Patent App. 18/321,602, 2024 | | 2024 |
Data Pictorial: Deconstructing Raster Images for Data-Aware Animated Vector Posters T Zhou, GYY Chan, S Guo, J Hoffswell, C Xiao, V S. Bursztyn, E Koh Adjunct Proceedings of the 37th Annual ACM Symposium on User Interface …, 2024 | | 2024 |
Representing Charts as Text for Language Models: An In-Depth Study of Question Answering for Bar Charts VS Bursztyn, J Hoffswell, E Koh, S Guo 2024 IEEE Visualization and Visual Analytics (VIS), 266-270, 2024 | | 2024 |