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Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models
Multimodal Large Language Models (MLLMs) excel in vision--language tasks by pre-
training solely on coarse-grained concept annotations (eg, image captions). We hypothesize …
training solely on coarse-grained concept annotations (eg, image captions). We hypothesize …
ECM: A Unified Electronic Circuit Model for Explaining the Emergence of In-Context Learning and Chain-of-Thought in Large Language Model
Recent advancements in large language models (LLMs) have led to significant successes
across various applications, where the most noticeable is to a series of emerging …
across various applications, where the most noticeable is to a series of emerging …
Analyzing Fine-tuning Representation Shift for Multimodal LLMs Steering alignment
Multimodal LLMs have reached remarkable levels of proficiency in understanding
multimodal inputs, driving extensive research to develop increasingly powerful models …
multimodal inputs, driving extensive research to develop increasingly powerful models …