3 papers
cs.CL2026
Training with Ciphers to Enhance In-Context Terminology Learning For Translation from Rare Languages
Deevyanshu Malu, Deeptanshu Malu, Sunita Sarawagi
Fine-tuning LLMs with in-context examples (IC-Train) lets translation models adapt to new parallel data at deployment, but it is unclear whether they actually learn the translation…
physics.pop-ph2026
The "Gate of Fate" - a quantum gaming concept
Deeptanshu Malu, Deevyanshu Malu, Bhaskaran Muralidharan
Quantum physics underpins the emerging quantum technology era, yet its counterintuitive principles remain challenging for beginners. Video games offer a promising medium to make th…
cs.LG2026
Contrast Matters: Understanding Robustness of In-Context Fine-Tuning to Target-Context Relatedness
Deeptanshu Malu, Deevyanshu Malu, Aditya Nemiwal +1
In-context fine-tuning (IC-Train), training an LLM with labeled examples in-context, is increasingly used in place of standard fine-tuning for domain adaptation and continual absor…