Követés
Rishav Hada
Rishav Hada
Microsoft Research
E-mail megerősítve itt: microsoft.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Mega: Multilingual evaluation of generative ai
K Ahuja, H Diddee, R Hada, M Ochieng, K Ramesh, P Jain, A Nambi, ...
arXiv preprint arXiv:2303.12528, 2023
2252023
Ruddit: Norms of offensiveness for English Reddit comments
R Hada, S Sudhir, P Mishra, H Yannakoudakis, SM Mohammad, ...
arXiv preprint arXiv:2106.05664, 2021
522021
Are large language model-based evaluators the solution to scaling up multilingual evaluation?
R Hada, V Gumma, A de Wynter, H Diddee, M Ahmed, M Choudhury, ...
arXiv preprint arXiv:2309.07462, 2023
502023
Megaverse: Benchmarking large language models across languages, modalities, models and tasks
S Ahuja, D Aggarwal, V Gumma, I Watts, A Sathe, M Ochieng, R Hada, ...
arXiv preprint arXiv:2311.07463, 2023
392023
Viewpoint diversity in search results
T Draws, N Roy, O Inel, A Rieger, R Hada, MO Yalcin, B Timmermans, ...
European Conference on Information Retrieval, 279-297, 2023
262023
''Fifty Shades of Bias'': Normative Ratings of Gender Bias in GPT Generated English Text
R Hada, A Seth, H Diddee, K Bali
arXiv preprint arXiv:2310.17428, 2023
142023
Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion
R Hada, AE Fard, S Shugars, F Bianchi, P Rossini, D Hovy, R Tromble, ...
arXiv preprint arXiv:2212.09056, 2022
122022
2-Tiered cloud based content delivery network architecture: An efficient load balancing approach for video streaming
RK Gupta, R Hada, S Sudhir
2017 International Conference on Signal Processing and Communication (ICSPC …, 2017
112017
Evaluating explainable social choice-based aggregation strategies for group recommendation
F Barile, T Draws, O Inel, A Rieger, S Najafian, A Ebrahimi Fard, R Hada, ...
User Modeling and User-Adapted Interaction 34 (1), 1-58, 2024
82024
METAL: Towards multilingual meta-evaluation
R Hada, V Gumma, M Ahmed, K Bali, S Sitaram
arXiv preprint arXiv:2404.01667, 2024
72024
Toward benchmarking group explanations: Evaluating the effect of aggregation strategies versus explanation
F Barile, S Najafian, T Draws, O Inel, A Rieger, R Hada, N Tintarev
Perspectives on the Evaluation of Recommender Systems Workshop 2021: co …, 2021
62021
Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology
R Hada, S Husain, V Gumma, H Diddee, A Yadavalli, A Seth, N Kulkarni, ...
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and …, 2024
32024
MunTTS: A Text-to-Speech System for Mundari
V Gumma, R Hada, A Yadavalli, P Gogoi, I Mondal, V Seshadri, K Bali
arXiv preprint arXiv:2401.15579, 2024
22024
Akal Badi ya Bias
R Hada, S Husain, V Gumma, H Diddee, A Yadavalli, A Seth, N Kulkarni, ...
2024
The Effectiveness of Different Group Recommendation Strategies for Different Group Compositions
F Barile, T Draws, O Inel, A Rieger, S Najafian, AE Fard, R Hada, ...
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Cikkek 1–15