Raya Horesh

22 papers A* 4Misc 3Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Comprehensive Evaluation framework of Alignment Techniques for LLMs.
CoRR
Muneeza Azmat, Momin Abbas, Maysa Malfiza Garcia de Macedo, Marcelo Carpinette Grave, Luan Soares de Souza, Tiago Machado, Rogério Abreu de Paula, Raya Horesh, Yixin Chen, Heloisa Caroline de Souza Pereira Candello, Rebecka Nordenlow, Aminat Adebiyi
2025 A* conf
DECASTE: Unveiling Caste Stereotypes in Large Language Models Through Multi-Dimensional Bias Analysis.
IJCAI
Prashanth Vijayaraghavan, Soroush Vosoughi, Lamogha Chiazor, Raya Horesh, Rogério Abreu de Paula, Ehsan Degan, Vandana V. Mukherjee
2025 J jnl
DECASTE: Unveiling Caste Stereotypes in Large Language Models through Multi-Dimensional Bias Analysis.
CoRR
Prashanth Vijayaraghavan, Soroush Vosoughi, Lamogha Chizor, Raya Horesh, Rogério Abreu de Paula, Ehsan Degan, Vandana V. Mukherjee
2025 J jnl
Exploring Human Perceptions of AI Responses: Insights from a Mixed-Methods Study on Risk Mitigation in Generative Models.
CoRR
Heloisa Candello, Muneeza Azmat, Uma Sushmitha Gunturi, Raya Horesh, Rogério Abreu de Paula, Heloisa Pimentel, Marcelo Carpinette Grave, Aminat Adebiyi, Tiago Machado, Maysa Malfiza Garcia de Macedo
2025 J jnl
Out-of-Distribution Detection using Synthetic Data Generation.
CoRR
Momin Abbas, Muneeza Azmat, Raya Horesh, Mikhail Yurochkin
2025 A* conf
SPRI: Aligning Large Language Models with Context-Situated Principles.
ICML
Hongli Zhan, Muneeza Azmat, Raya Horesh, Junyi Jessy Li, Mikhail Yurochkin
2025 J jnl
SPRI: Aligning Large Language Models with Context-Situated Principles.
CoRR
Hongli Zhan, Muneeza Azmat, Raya Horesh, Junyi Jessy Li, Mikhail Yurochkin
2025 A* conf
Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding.
ICML
Ziyao Wang, Muneeza Azmat, Ang Li, Raya Horesh, Mikhail Yurochkin
2025 J jnl
Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding.
CoRR
Ziyao Wang, Muneeza Azmat, Ang Li, Raya Horesh, Mikhail Yurochkin
2024 J jnl
CharED: Character-wise Ensemble Decoding for Large Language Models.
CoRR
Kevin Gu, Eva Tuecke, Dmitriy Katz, Raya Horesh, David Alvarez-Melis, Mikhail Yurochkin
2024 — conf
CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologies.
EMNLP (Findings)
Weiyan Shi, Ryan Li, Yutong Zhang, Caleb Ziems, Sunny Yu, Raya Horesh, Rogério de Paula, Diyi Yang
2024 J jnl
CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologies.
CoRR
Weiyan Shi, Ryan Li, Yutong Zhang, Caleb Ziems, Chunhua yu, Raya Horesh, Rogério Abreu de Paula, Diyi Yang
2024 J jnl
Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations.
CoRR
Swapnaja Achintalwar, Adriana Alvarado Garcia, Ateret Anaby-Tavor, Ioana Baldini, Sara E. Berger, Bishwaranjan Bhattacharjee, Djallel Bouneffouf, Subhajit Chaudhury, Pin-Yu Chen, Lamogha Chiazor, Elizabeth M. Daly, Rogério Abreu de Paula, Pierre L. Dognin, Eitan Farchi, Soumya Ghosh, Michael Hind, Raya Horesh, George Kour, Ja Young Lee, Erik Miehling, Keerthiram Murugesan, Manish Nagireddy, Inkit Padhi, David Piorkowski, Ambrish Rawat, Orna Raz, Prasanna Sattigeri, Hendrik Strobelt, Sarathkrishna Swaminathan, Christoph Tillmann, Aashka Trivedi, Kush R. Varshney, Dennis Wei, Shalisha Witherspoon, Marcel Zalmanovici
2023 J jnl
A SWAT-based Reinforcement Learning Framework for Crop Management.
CoRR
Malvern Madondo, Muneeza Azmat, Kelsey Dipietro, Raya Horesh, Michael Jacobs, Arun Bawa, Raghavan Srinivasan, Fearghal O'Donncha
2023 A* conf
Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management.
IJCAI
Muneeza Azmat, Malvern Madondo, Arun Bawa, Kelsey Dipietro, Raya Horesh, Michael Jacobs, Raghavan Srinivasan, Fearghal O'Donncha
2022 J jnl
Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management.
CoRR
Muneeza Azmat, Malvern Madondo, Kelsey Dipietro, Raya Horesh, Arun Bawa, Michael Jacobs, Raghavan Srinivasan, Fearghal O'Donncha
2016 — conf
Information retrieval, fusion, completion, and clustering for employee expertise estimation.
IEEE BigData
Raya Horesh, Kush R. Varshney, Jinfeng Yi
2015 Misc conf
Simulation and optimization of energy efficient operation of HVAC system as demand response with distributed energy resources.
WSC
Young M. Lee, Raya Horesh, Leo Liberti
2013 Misc conf
An inverse PDE-ODE model for studying building energy demand.
WSC
Lianjun An, Young Tae Chae, Raya Horesh, Young M. Lee, Rui Zhang
2011 Misc conf
Modeling and simulation of building energy performance for portfolios of public buildings.
WSC
Young M. Lee, Fei Liu, Lianjun An, Huijing Jiang, Chandra Reddy, Raya Horesh, Paul Nevill, Estepan Meliksetian, Pawan Chowdhary, Nat Mills, Young Tae Chae, Jane L. Snowdon, Jayant Kalagnanam, Joe Emberson, Al Paskevicous, Elliott Jeyaseelan, Robert Forest, Chris Cuthbert, Tony Cupido, Michael Bobker, Janine Belfast
2010 J jnl
Numerical optimization for constrained image registration.
Numer. Linear Algebra Appl.
Eldad Haber, Raya Horesh, Jan Modersitzki
2008 J jnl
Use of anisotropic modelling in electrical impedance tomography; Description of method and preliminary assessment of utility in imaging brain function in the adult human head.
NeuroImage
Juan-Felipe P. J. Abascal, Simon R. Arridge, David Atkinson, Raya Horesh, Lorenzo Fabrizi, Marzia De Lucia, Lior Horesh, Richard H. Bayford, David S. Holder