Understanding the Behaviour of Neural Abstractive Summarizers using Contrastive Examples. - Krtin Kumar; Jackie Chi Kit Cheung (NAACL-HLT (1), 2019)

Distilled embedding: non-linear embedding factorization using knowledge distillation. - Vasileios Lioutas; Ahmad Rashid; Krtin Kumar; Md. Akmal Haidar; Mehdi Rezagholizadeh (CoRR, 2019)

Improving Word Embedding Factorization for Compression using Distilled Nonlinear Neural Decomposition. - Vasileios Lioutas; Ahmad Rashid; Krtin Kumar; Md. Akmal Haidar; Mehdi Rezagholizadeh (EMNLP (Findings), 2020)

Improving Neural Machine Translation with Compact Word Embedding Tables. - Krtin Kumar; Mehdi Rezagholizadeh; Yiu Sing Lau; Qun Liu 001 (CoRR, 2021)

From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables. - Krtin Kumar; Peyman Passban; Mehdi Rezagholizadeh; Yiu Sing Lau; Qun Liu 001 (AAAI, 2022)

Evaluating the Retrieval Component in LLM-Based Question Answering Systems. - Ashkan Alinejad; Krtin Kumar; Ali Vahdat (CoRR, 2024)