2 citations · 2 across the 9 of their papers we have counts for
3 papers · 2 filters
Correctness Is a Direction: Geometric Answer Selection in Language Models
Marcus Armstrong, Navid Ayoobi, Pradham Mummaleti +2
Answer correctness is encoded as a recoverable geometric direction in the hidden states of language models. We show that the mean displacement from incorrect to correct answer repr…
Data Synthesis and Parameter-Efficient Fine-Tuning for Low-Resource NMT: A Case Study on Q'eqchi' Mayan
Alexander Chulzhanov, Soeren Eberhardt, Arjun Mukherjee
Neural machine translation for digitally low-resource Indigenous languages is often hindered by extreme data scarcity, prompting reliance on extractive web-scraping. To ensure data…
Say Anything but This: When Tokenizer Betrays Reasoning in LLMs
Navid Ayoobi, Marcus I Armstrong, Arjun Mukherjee
Large language models (LLMs) reason over discrete token ID sequences, yet modern subword tokenizers routinely produce non-unique encodings: multiple token ID sequences can detokeni…