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Decoder-only Transformers often struggle with complex reasoning tasks, particularly arithmetic reasoning requiring multiple sequential …
We introduce Visual Caption Restoration (VCR), a novel vision-language task that challenges models to accurately restore partially …
Scalable Vector Graphics (SVGs) are vital for modern image rendering due to their scalability and versatility. Previous SVG generation …
Abstention Ability (AA) is a critical aspect of Large Language Model (LLM) reliability, referring to an LLM’s capability to …
Deployed machine learning systems require some mechanism to detect out-of-distribution (OOD) inputs. Existing research mainly focuses …
Learning generalist agents, able to solve multitudes of tasks in different domains is a long-standing problem. Reinforcement learning …
Large Language Models (LLMs) are trained on vast amounts of data, most of which is automatically scraped from the internet. This data …
The ability of large language models (LLMs) to mimic human-like intelligence has led to a surge in LLM-based autonomous agents. Though …
This paper introduces a novel model compression approach through dynamic layer-specific pruning in Large Language Models (LLMs), …