9 citations · 24 across the 17 of their papers we have counts for
4 papers · 1 filter
Source-Free MT Evaluation Is Not MT Evaluation
Baban Gain, Ramakrishna Appicharla, Asif Ekbal
Reference-based metrics remain the standard choice in machine translation evaluation, partly because quality estimation methods often correlate less well with human judgments. As a…
Which Tokens Need Context? A Reference-Based Analysis of Translation Responsibility Using Fertility and Entropy
Ramakrishna Appicharla, Baban Gain, Santanu Pal +1
When humans translate, not every word depends equally on the surrounding context. Some tokens, particularly function words like pronouns and auxiliaries, rely heavily on preceding…
Mind the Pause: Disfluency-Aware Objective Tuning for Multilingual Speech Correction with LLMs
Deepak Kumar, Baban Gain, Asif Ekbal
Automatic Speech Recognition (ASR) transcripts often contain disfluencies, such as fillers, repetitions, and false starts, which reduce readability and hinder downstream applicatio…
One Model to Translate Them All? A Journey to Mount Doom for Multilingual Model Merging
Baban Gain, Trilok Nath Singh, Asif Ekbal
Weight-space model merging combines independently fine-tuned checkpoints without access to the original training data. While merging has shown promise in multitask settings, its be…