Extending AI for Research to the Humanities: A Multi-Agent Framework for Evidence-Grounded Scholarship

arXiv:2605.30947 · cs.CL · Submitted 2026-05-29 · Read on arXiv

cs.CL

Submitted: 2026-05-29

Updated: 2026-08-31

Code: https://github.com/YatingPan/SPIRE

Terminology

• RAG — 44× in this paper · explained in 3 episodes
• Benchmark — 26× in this paper · explained in 2 episodes
• Provenance — 22× in this paper · explained in 4 episodes
• Grounding — 15× in this paper · explained in 3 episodes
• Accuracy — 12× in this paper · explained in 1 episode
• Core — 11× in this paper · explained in 2 episodes
• Ablation — 10× in this paper · explained in 1 episode
• Alignment — 6× in this paper · explained in 1 episode
• LLM judge — 6× in this paper · explained in 2 episodes
• Multi-Agent Framework — 6× in this paper · explained in 3 episodes
• Commentary — 5× in this paper · explained in 2 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Scholarly-Primitives-Inspired Research Engine — 2× in this paper
• Trace — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Abstraction — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Agent-based modeling — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 4 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Formal Methods — 1× in this paper · explained in 3 episodes
• Graph Construction — 1× in this paper · explained in 3 episodes
• Hypergraph — 1× in this paper · explained in 2 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Scaffolding — 1× in this paper · explained in 3 episodes

Sources

• Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models
• Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence
• OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs
• Quantitative Intertextuality from the Digital Humanities Perspective: A Survey
• From Local to Global: A Graph RAG Approach to Query-Focused Summarization
• Retrieval-Augmented Generation with Graphs (GraphRAG)
• Retrieval-Augmented Generation for Large Language Models: A Survey
• SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning
• PaperQA: Retrieval-Augmented Generative Agent for Scientific Research
• AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society
• EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities
• MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents
• The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
• Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks
• AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
• HistoLens: An LLM-Powered Framework for Multi-Layered Analysis of Historical Texts -- A Case Application of Yantie Lun

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