Inkit Padhi

60 papers A* 12B 1C 1Misc 2Journal 37Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Building a Foundational Guardrail for General Agentic Systems via Synthetic Data.
CoRR
Yue Huang, Hang Hua, Yujun Zhou, Pengcheng Jing, Manish Nagireddy, Inkit Padhi, Greta Dolcetti, Zhangchen Xu, Subhajit Chaudhury, Ambrish Rawat, Liubov Nedoshivina, Pin-Yu Chen, Prasanna Sattigeri, Xiangliang Zhang
2025 Misc conf
Contextual Value Alignment.
ICASSP
Pierre L. Dognin, Jesus Rios, Ronny Luss, Prasanna Sattigeri, Miao Liu, Inkit Padhi, Matthew Riemer, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf
2025 — conf
Granite Guardian: Comprehensive LLM Safeguarding.
NAACL (Industry Track)
Inkit Padhi, Manish Nagireddy, Giandomenico Cornacchia, Subhajit Chaudhury, Tejaswini Pedapati, Pierre L. Dognin, Keerthiram Murugesan, Erik Miehling, Martín Santillán Cooper, Kieran Fraser, Giulio Zizzo, Muhammad Zaid Hameed, Mark Purcell, Michael Desmond, Qian Pan, Inge Vejsbjerg, Elizabeth M. Daly, Michael Hind, Werner Geyer, Ambrish Rawat, Kush R. Varshney, Prasanna Sattigeri
2025 A* conf
Programming Refusal with Conditional Activation Steering.
ICLR
Bruce W. Lee, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Erik Miehling, Pierre L. Dognin, Manish Nagireddy, Amit Dhurandhar
2024 J jnl
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations.
CoRR
Swapnaja Achintalwar, Ioana Baldini, Djallel Bouneffouf, Joan Byamugisha, Maria Chang, Pierre L. Dognin, Eitan Farchi, Ndivhuwo Makondo, Aleksandra Mojsilovic, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Inkit Padhi, Orna Raz, Jesus Rios, Prasanna Sattigeri, Moninder Singh, Siphiwe Thwala, Rosario A. Uceda-Sosa, Kush R. Varshney
2024 J jnl
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations.
IEEE Internet Comput.
Swapnaja Achintalwar, Ioana Baldini, Djallel Bouneffouf, Joan Byamugisha, Maria Chang, Pierre L. Dognin, Eitan Farchi, Ndivhuwo Makondo, Aleksandra Mojsilovic, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Inkit Padhi, Orna Raz, Jesus Rios, Prasanna Sattigeri, Moninder Singh, Siphiwe Thwala, Rosario A. Uceda-Sosa, Kush R. Varshney
2024 J jnl
Auditing and Generating Synthetic Data With Controllable Trust Trade-Offs.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Brian Belgodere, Pierre L. Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jirí Navrátil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young
2024 A* conf
ComVas: Contextual Moral Values Alignment System.
IJCAI
Inkit Padhi, Pierre L. Dognin, Jesus Rios, Ronny Luss, Swapnaja Achintalwar, Matthew Riemer, Miao Liu, Prasanna Sattigeri, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf
2024 J jnl
Contextual Moral Value Alignment Through Context-Based Aggregation.
CoRR
Pierre L. Dognin, Jesus Rios, Ronny Luss, Inkit Padhi, Matthew D. Riemer, Miao Liu, Prasanna Sattigeri, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf
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
2024 J jnl
Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods.
CoRR
Dennis Wei, Inkit Padhi, Soumya Ghosh, Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Maria Chang
2024 J jnl
Granite Guardian.
CoRR
Inkit Padhi, Manish Nagireddy, Giandomenico Cornacchia, Subhajit Chaudhury, Tejaswini Pedapati, Pierre L. Dognin, Keerthiram Murugesan, Erik Miehling, Martin Santillan Cooper, Kieran Fraser, Giulio Zizzo, Muhammad Zaid Hameed, Mark Purcell, Michael Desmond, Qian Pan, Zahra Ashktorab, Inge Vejsbjerg, Elizabeth M. Daly, Michael Hind, Werner Geyer, Ambrish Rawat, Kush R. Varshney, Prasanna Sattigeri
2024 J jnl
Programming Refusal with Conditional Activation Steering.
CoRR
Bruce W. Lee, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Erik Miehling, Pierre L. Dognin, Manish Nagireddy, Amit Dhurandhar
2024 J jnl
Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs.
CoRR
Swanand Ravindra Kadhe, Farhan Ahmed, Dennis Wei, Nathalie Baracaldo, Inkit Padhi
2024 — conf
Value Alignment from Unstructured Text.
EMNLP (Industry Track)
Inkit Padhi, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Manish Nagireddy, Pierre L. Dognin, Kush R. Varshney
2024 J jnl
Value Alignment from Unstructured Text.
CoRR
Inkit Padhi, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Manish Nagireddy, Pierre L. Dognin, Kush R. Varshney
2024 J jnl
When in Doubt, Cascade: Towards Building Efficient and Capable Guardrails.
CoRR
Manish Nagireddy, Inkit Padhi, Soumya Ghosh, Prasanna Sattigeri
2024 A* conf
WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia.
NeurIPS
Yufang Hou, Alessandra Pascale, Javier Carnerero-Cano, Tigran T. Tchrakian, Radu Marinescu, Elizabeth Daly, Inkit Padhi, Prasanna Sattigeri
2024 J jnl
WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia.
CoRR
Yufang Hou, Alessandra Pascale, Javier Carnerero-Cano, Tigran T. Tchrakian, Radu Marinescu, Elizabeth Daly, Inkit Padhi, Prasanna Sattigeri
2023 J jnl
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs.
CoRR
Brian Belgodere, Pierre L. Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jirí Navrátil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young
2023 B conf
Explainable Cross-Topic Stance Detection for Search Results.
CHIIR
Tim Draws, Karthikeyan Natesan Ramamurthy, Ioana Baldini, Amit Dhurandhar, Inkit Padhi, Benjamin Timmermans, Nava Tintarev
2023 A* conf
Reprogramming Pretrained Language Models for Antibody Sequence Infilling.
ICML
Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das
2023 A* conf
The Impact of Positional Encoding on Length Generalization in Transformers.
NeurIPS
Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Payel Das, Siva Reddy
2023 J jnl
The Impact of Positional Encoding on Length Generalization in Transformers.
CoRR
Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Payel Das, Siva Reddy
2023 J jnl
The incentive gap in data work in the era of large models.
Nat. Mac. Intell.
Katy Ilonka Gero, Payel Das, Pierre L. Dognin, Inkit Padhi, Prasanna Sattigeri, Kush R. Varshney
2022 — conf
Cloud-Based Real-Time Molecular Screening Platform with MolFormer.
ECML/PKDD (6)
Brian Belgodere, Vijil Chenthamarakshan, Payel Das, Pierre L. Dognin, Toby Kurien, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young
2022 J jnl
Cloud-Based Real-Time Molecular Screening Platform with MolFormer.
CoRR
Brian Belgodere, Vijil Chenthamarakshan, Payel Das, Pierre L. Dognin, Toby Kurien, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young
2022 A* conf
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting.
NeurIPS
Prasanna Sattigeri, Soumya Ghosh, Inkit Padhi, Pierre L. Dognin, Kush R. Varshney
2022 J jnl
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting.
CoRR
Prasanna Sattigeri, Soumya Ghosh, Inkit Padhi, Pierre L. Dognin, Kush R. Varshney
2022 J jnl
GT4SD: Generative Toolkit for Scientific Discovery.
CoRR
Matteo Manica, Joris Cadow, Dimitrios Christofidellis, Ashish Dave, Jannis Born, Dean Clarke, Yves Gaetan Nana Teukam, Samuel C. Hoffman, Matthew Buchan, Vijil Chenthamarakshan, Timothy Donovan, Hsiang-Han Hsu, Federico Zipoli, Oliver Schilter, Giorgio Giannone, Akihiro Kishimoto, Lisa Hamada, Inkit Padhi, Karl Wehden, Lauren McHugh, Alexy Khrabrov, Payel Das, Seiji Takeda, John R. Smith
2022 J jnl
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge.
J. Artif. Intell. Res.
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere
2022 J jnl
Large-scale chemical language representations capture molecular structure and properties.
Nat. Mac. Intell.
Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan, Inkit Padhi, Youssef Mroueh, Payel Das
2022 J jnl
Reprogramming Large Pretrained Language Models for Antibody Sequence Infilling.
CoRR
Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das
2021 J jnl
Do Large Scale Molecular Language Representations Capture Important Structural Information?
CoRR
Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan, Inkit Padhi, Youssef Mroueh, Payel Das
2021 A* conf
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text.
AAAI
Nishtha Madaan, Inkit Padhi, Naveen Panwar, Diptikalyan Saha
2021 — conf
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models.
EMNLP (1)
Pierre L. Dognin, Inkit Padhi, Igor Melnyk, Payel Das
2021 J jnl
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models.
CoRR
Pierre L. Dognin, Inkit Padhi, Igor Melnyk, Payel Das
2021 Misc conf
Tabular Transformers for Modeling Multivariate Time Series.
ICASSP
Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik R. Altman
2020 J jnl
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics.
CoRR
Payel Das, Tom Sercu, Kahini Wadhawan, Inkit Padhi, Sebastian Gehrmann, Flaviu S. Cipcigan, Vijil Chenthamarakshan, Hendrik Strobelt, Cícero Nogueira dos Santos, Pin-Yu Chen, Yi Yan Yang, Jeremy Tan, James Hedrick, Jason Crain, Aleksandra Mojsilovic
2020 J jnl
Alleviating Noisy Data in Image Captioning with Cooperative Distillation.
CoRR
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff
2020 A* conf
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models.
NeurIPS
Vijil Chenthamarakshan, Payel Das, Samuel C. Hoffman, Hendrik Strobelt, Inkit Padhi, Kar Wai Lim, Benjamin Hoover, Matteo Manica, Jannis Born, Teodoro Laino, Aleksandra Mojsilovic
2020 — conf
DualTKB: A Dual Learning Bridge between Text and Knowledge Base.
EMNLP (1)
Pierre L. Dognin, Igor Melnyk, Inkit Padhi, Cícero Nogueira dos Santos, Payel Das
2020 J jnl
DualTKB: A Dual Learning Bridge between Text and Knowledge Base.
CoRR
Pierre L. Dognin, Igor Melnyk, Inkit Padhi, Cícero Nogueira dos Santos, Payel Das
2020 J jnl
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text.
CoRR
Nishtha Madaan, Inkit Padhi, Naveen Panwar, Diptikalyan Saha
2020 J jnl
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge.
CoRR
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere
2020 A* conf
Learning Implicit Text Generation via Feature Matching.
ACL
Inkit Padhi, Pierre L. Dognin, Ke Bai, Cícero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das
2020 J jnl
Learning Implicit Text Generation via Feature Matching.
CoRR
Inkit Padhi, Pierre L. Dognin, Ke Bai, Cícero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das
2020 J jnl
Tabular Transformers for Modeling Multivariate Time Series.
CoRR
Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik R. Altman
2020 J jnl
Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models.
CoRR
Vijil Chenthamarakshan, Payel Das, Inkit Padhi, Hendrik Strobelt, Kar Wai Lim, Benjamin Hoover, Samuel C. Hoffman, Aleksandra Mojsilovic
2019 — conf
Interactive Visual Exploration of Latent Space (IVELS) for peptide auto-encoder model selection.
DGS@ICLR
Tom Sercu, Sebastian Gehrmann, Hendrik Strobelt, Payel Das, Inkit Padhi, Cícero Nogueira dos Santos, Kahini Wadhawan, Vijil Chenthamarakshan
2019 A* conf
Learning Implicit Generative Models by Matching Perceptual Features.
ICCV
Cícero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi, Pierre L. Dognin
2019 J jnl
Learning Implicit Generative Models by Matching Perceptual Features.
CoRR
Cícero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi, Pierre L. Dognin
2019 A* conf
Sobolev Independence Criterion.
NeurIPS
Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cícero Nogueira dos Santos
2019 J jnl
Sobolev Independence Criterion.
CoRR
Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cícero Nogueira dos Santos
2018 C conf
Data Driven Techniques for Organizing Scientific Articles Relevant to Biomimicry.
AIES
Yuanshuo Zhao, Ioana Baldini, Prasanna Sattigeri, Inkit Padhi, Yoong Keok Lee, Ethan Smith
2018 — conf
Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer.
ACL (2)
Cícero Nogueira dos Santos, Igor Melnyk, Inkit Padhi
2018 J jnl
Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer.
CoRR
Cícero Nogueira dos Santos, Igor Melnyk, Inkit Padhi
2018 J jnl
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences.
CoRR
Payel Das, Kahini Wadhawan, Oscar Chang, Tom Sercu, Cícero Nogueira dos Santos, Matthew Riemer, Inkit Padhi, Vijil Chenthamarakshan, Aleksandra Mojsilovic
2017 J jnl
Improved Neural Text Attribute Transfer with Non-parallel Data.
CoRR
Igor Melnyk, Cícero Nogueira dos Santos, Kahini Wadhawan, Inkit Padhi, Abhishek Kumar
2016 A* conf
Does String-Based Neural MT Learn Source Syntax?
EMNLP
Xing Shi, Inkit Padhi, Kevin Knight