Social-R1: Towards Human-like Social Reasoning in LLMs
Social-R1: Towards Human-like Social Reasoning in LLMs explores Social-R1 enhances large language models with human-like social reasoning through a novel reinforcement learning framework.. Commercial viability score: 7/10 in Social Reasoning.
Updated 2 days ago
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisReasoning Promotes Robustness in Theory of Mind TasksViability: 4.0
- Builds On ThisLLM-Driven Multi-Turn Task-Oriented Dialogue Synthesis for Realistic ReasoningViability: 5.0
- Builds On ThisLearning from Synthetic Data Improves Multi-hop ReasoningViability: 6.0
- Builds On ThisEMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language ModelsViability: 4.0
- Builds On ThisNative Reasoning Models: Training Language Models to Reason on Unverifiable Data