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
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
CABINET: Content Relevance based Noise Reduction for Table Question Answering
Table understanding capability of Large Language Models (LLMs) has been extensively studied through the task of question-answering (QA) …
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CABINET: Content Relevance based Noise Reduction for Table Question Answering
Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior
Shannon and Weaver’s seminal information theory divides communication into three levels: technical, semantic, and effectiveness. While …
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Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior