3 papers
cs.CL2025
Mechanistic Interpretability of GPT-like Models on Summarization Tasks
Anurag Mishra
Mechanistic interpretability research seeks to reveal the inner workings of large language models, yet most work focuses on classification or generative tasks rather than summariza…
quant-ph2025
Hardware-efficient quantum error correction via concatenated bosonic qubits
Harald Putterman, Kyungjoo Noh, Connor T. Hann +118
In order to solve problems of practical importance, quantum computers will likely need to incorporate quantum error correction, where a logical qubit is redundantly encoded in many…
cs.AI2024
Advancing Explainability in Neural Machine Translation: Analytical Metrics for Attention and Alignment Consistency
Anurag Mishra
Neural Machine Translation (NMT) models have shown remarkable performance but remain largely opaque in their decision making processes. The interpretability of these models, especi…