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Found 6 papers, 3 papers with code
Mysterious Projections: Multimodal LLMs Gain Domain-Specific Visual Capabilities Without Richer Cross-Modal Projections
It is desirable to understand the roles of these two modules in modeling domain-specific visual attributes to inform the design of future models and streamline the interpretability efforts on the current models.
MM-Soc: Benchmarking Multimodal Large Language Models in Social Media Platforms
Social media platforms are hubs for multimodal information exchange, encompassing text, images, and videos, making it challenging for machines to comprehend the information or emotions associated with interactions in online spaces.
Aligning with Whom? Large Language Models Have Gender and Racial Biases in Subjective NLP Tasks
We find that for both tasks, model predictions are closer to the labels from White and female participants.
You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments
The versatility of Large Language Models (LLMs) on natural language understanding tasks has made them popular for research in social sciences.
Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics
Linguistic style matching (LSM) in conversations can be reflective of several aspects of social influence such as power or persuasion.
Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark
Large language models (LLMs) have been shown to perform well at a variety of syntactic, discourse, and reasoning tasks.
