4 papers
Multilingual Test-Time Scaling via Initial Thought Transfer
Prasoon Bajpai, Tanmoy Chakraborty
Test-time scaling has emerged as a widely adopted inference-time strategy for boosting reasoning performance. However, its effectiveness has been studied almost exclusively in Engl…
Can LLMs reason over extended multilingual contexts? Towards long-context evaluation beyond retrieval and haystacks
Amey Hengle, Prasoon Bajpai, Soham Dan +1
Existing multilingual long-context benchmarks, often based on the popular needle-in-a-haystack test, primarily evaluate a model's ability to locate specific information buried with…
Information Anxiety in Large Language Models
Prasoon Bajpai, Sarah Masud, Tanmoy Chakraborty
Large Language Models (LLMs) have demonstrated strong performance as knowledge repositories, enabling models to understand user queries and generate accurate and context-aware resp…
Multilingual Needle in a Haystack: Investigating Long-Context Behavior of Multilingual Large Language Models
Amey Hengle, Prasoon Bajpai, Soham Dan +1
While recent large language models (LLMs) demonstrate remarkable abilities in responding to queries in diverse languages, their ability to handle long multilingual contexts is unex…