4 citations · 17 across the 34 of their papers we have counts for
Showing 2024 · cs.AIShow all
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cs.AI2024★ 1 cited
Scaling Granite Code Models to 128K Context
Matt Stallone, Vaibhav Saxena, Leonid Karlinsky +19
This paper introduces long-context Granite code models that support effective context windows of up to 128K tokens. Our solution for scaling context length of Granite 3B/8B code mo…
cs.AI2024★ 1 cited
Navigating the Labyrinth: Evaluating LLMs' Ability to Reason About Search Problems
Nasim Borazjanizadeh, Roei Herzig, Trevor Darrell +2
Large Language Models (LLMs) have recently achieved impressive performance in math and reasoning benchmarks. However, they often struggle with logic problems and puzzles that are r…