6 citations · 11 across the 7 of their papers we have counts for
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cs.CL2025
CurLL: A Developmental Framework to Evaluate Continual Learning in Language Models
Pavan Kalyan, Shubhra Mishra, Satya Lokam +1
We introduce a comprehensive continual learning dataset and benchmark (CurlL) grounded in human developmental trajectories from ages 5-10, enabling systematic and fine-grained asse…
cs.CL2024★ 2 cited
Exploring Continual Fine-Tuning for Enhancing Language Ability in Large Language Model
Divyanshu Aggarwal, Sankarshan Damle, Navin Goyal +2
A common challenge towards the adaptability of Large Language Models (LLMs) is their ability to learn new languages over time without hampering the model's performance on languages…