4 papers · 1 filter
Temporal Referential Consistency: Do LLMs Favor Sequences Over Absolute Time References?
Ashutosh Bajpai, Tanmoy Chakraborty
The increasing acceptance of large language models (LLMs) as an alternative to knowledge sources marks a significant paradigm shift across various domains, including time-sensitive…
Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages
Ashutosh Bajpai, Tanmoy Chakraborty
The unwavering disparity in labeled resources between resource-rich languages and those considered low-resource remains a significant impediment for Large Language Models (LLMs). R…
Focal Inferential Infusion Coupled with Tractable Density Discrimination for Implicit Hate Detection
Sarah Masud, Ashutosh Bajpai, Tanmoy Chakraborty
Although pretrained large language models (PLMs) have achieved state-of-the-art on many natural language processing (NLP) tasks, they lack an understanding of subtle expressions of…
Temporally Consistent Factuality Probing for Large Language Models
Ashutosh Bajpai, Aaryan Goyal, Atif Anwer +1
The prolific use of Large Language Models (LLMs) as an alternate knowledge base requires them to be factually consistent, necessitating both correctness and consistency traits for…