5 papers
Indic-TunedLens: Interpreting Multilingual Models in Indian Languages
Mihir Panchal, Deeksha Varshney, Mamta +1
Multilingual large language models (LLMs) are increasingly deployed in linguistically diverse regions like India, yet most interpretability tools remain tailored to English. Prior…
Protein Secondary Structure Prediction Using 3D Graphs and Relation-Aware Message Passing Transformers
Disha Varshney, Samarth Garg, Sarthak Tyagi +3
In this study, we tackle the challenging task of predicting secondary structures from protein primary sequences, a pivotal initial stride towards predicting tertiary structures, wh…
Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation
Keane Ong, Rui Mao, Deeksha Varshney +3
Counterfactual reasoning typically involves considering alternatives to actual events. While often applied to understand past events, a distinct form-forward counterfactual reasoni…
Towards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization
Keane Ong, Rui Mao, Deeksha Varshney +2
Sustainability reports are key for evaluating companies' environmental, social and governance, ESG performance, but their content is increasingly obscured by greenwashing - sustain…
ClimaEmpact: Domain-Aligned Small Language Models and Datasets for Extreme Weather Analytics
Deeksha Varshney, Keane Ong, Rui Mao +2
Accurate assessments of extreme weather events are vital for research and policy, yet localized and granular data remain scarce in many parts of the world. This data gap limits our…