EXPERIGEN: Accelerating Social Science Research via Agentic Hypothesization and Experimentation
Data-driven social science research is inherently slow, relying on iterative cycles of observation, hypothesis generation, and …
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EXPERIGEN: Accelerating Social Science Research via Agentic Hypothesization and Experimentation
Internalizing Heterogeneous Agents in Language Model Reasoning
LLMs are increasingly deployed as orchestrators that coordinate specialized subagents to solve complex tasks through natural language. …
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Internalizing Heterogeneous Agents in Language Model Reasoning
ZIPP: Zero-shot Image Personalization from Personas
Text-to-image diffusion models are increasingly deployed in creative contexts, yet remain impersonal — optimized for aggregate …
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ZIPP: Zero-shot Image Personalization from Personas
Social Agents: Collective Intelligence Improves LLM Predictions
In human society, collective decision making has often outperformed the judgment of individuals. Classic examples range from estimating …
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Social Agents: Collective Intelligence Improves LLM Predictions
ALPHA: Action-Based Learning for Pluralistic Human Alignment in Large Language Models
Large language models are widely used, but aligning them with societal values remains challenging. Current approaches often rely on …
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ALPHA: Action-Based Learning for Pluralistic Human Alignment in Large Language Models
BrandFusion: Aligning Image Generation with Brand Styles
While recent text-to-image models excel at generating realistic content, they struggle to capture the nuanced visual characteristics …
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BrandFusion: Aligning Image Generation with Brand Styles
Unsupervised Memorability Modeling from Tip-of-the-Tongue Retrieval Queries
Visual content memorability has intrigued the scientific community for decades, with applications ranging widely, from understanding …
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Unsupervised Memorability Modeling from Tip-of-the-Tongue Retrieval Queries
SPRO: Improving Image Generation via Self-Play
Recent advances in diffusion models have dramatically improved image fidelity and diversity. However, aligning these models with …
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SPRO: Improving Image Generation via Self-Play
Evaluating Variance in Visual Question Answering Benchmarks
Multimodal large language models (MLLMs) have emerged as powerful tools for visual question answering (VQA), enabling reasoning and …
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HIRE: Lightweight High-Resolution Image Feature Enrichment for Multimodal LLMs
The integration of high-resolution image features in modern multimodal large language models has demonstrated significant improvements …
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HIRE: Lightweight High-Resolution Image Feature Enrichment for Multimodal LLMs