8 citations · 13 across the 8 of their papers we have counts for
8 papers
ContractEval: Query-Conditioned Execution Matching for Procedural Instruction Conformance
Praphul Singh, Shanu Kumar, Akshat Agarwal +1
As LLM agents move from answering questions to carrying out procedures, failures can be unwarranted rather than visibly wrong: the final response looks acceptable even though the s…
Beyond Endpoint Gains: A Weight-Delta Audit of Medical Specialization
Praphul Singh, Shanu Kumar, Akshat Agarwal
Specialist language models are usually understood through endpoint gains: the generalist scores lower, the specialist scores higher, and the difference is treated as evidence of sp…
DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer
Shanu Kumar, Abbaraju Soujanya, Sandipan Dandapat +2
Zero-shot cross-lingual transfer is promising, however has been shown to be sub-optimal, with inferior transfer performance across low-resource languages. In this work, we envision…
"Diversity and Uncertainty in Moderation" are the Key to Data Selection for Multilingual Few-shot Transfer
Shanu Kumar, Sandipan Dandapat, Monojit Choudhury
Few-shot transfer often shows substantial gain over zero-shot transfer~\cite{lauscher2020zero}, which is a practically useful trade-off between fully supervised and unsupervised le…
Multi Task Learning For Zero Shot Performance Prediction of Multilingual Models
Kabir Ahuja, Shanu Kumar, Sandipan Dandapat +1
Massively Multilingual Transformer based Language Models have been observed to be surprisingly effective on zero-shot transfer across languages, though the performance varies from…
Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation
Shanu Kumar, Vinod Kumar Kurmi, Praphul Singh +1
Understanding unsupervised domain adaptation has been an important task that has been well explored. However, the wide variety of methods have not analyzed the role of a classifier…
Attending to Discriminative Certainty for Domain Adaptation
Vinod Kumar Kurmi, Shanu Kumar, Vinay P Namboodiri
In this paper, we aim to solve for unsupervised domain adaptation of classifiers where we have access to label information for the source domain while these are not available for a…
Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues
Shanu Kumar, Shubham Atreja, Anjali Singh +1
Citizen engagement and technology usage are two emerging trends driven by smart city initiatives. Governments around the world are adopting technology for faster resolution of civi…