337 citations · 427 across the 18 of their papers we have counts for
4 papers · 1 filter
XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks
Purvam Jain, Preethi Jyothi, Vihari Piratla +1
We introduce a set of synthetic algorithmic tasks to detect cross-lingual gaps in the abilities of large language models. Our benchmark is commensurate across languages, since it r…
Rethinking Cross-lingual Gaps from a Statistical Viewpoint
Vihari Piratla, Purvam Jain, Darshan Singh +3
Any piece of knowledge is usually expressed in one or a handful of natural languages on the web or in any large corpus. Large Language Models (LLMs) act as a bridge by acquiring kn…
Parallel Iterative Edit Models for Local Sequence Transduction
Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal +2
We present a Parallel Iterative Edit (PIE) model for the problem of local sequence transduction arising in tasks like Grammatical error correction (GEC). Recent approaches are base…
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings
Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti
Given a small corpus pertaining to a limited set of focused topics, our goal is to train embeddings that accurately capture the sense of words in the topic in spite…