Ideation Arena: Evaluating LLM Generated Research Ideas with Battle-style Human Expert Assessment

arXiv:2608.29696 · cs.AI · Submitted 2026-08-30 · Read on arXiv

cs.AI

Submitted: 2026-08-30

Updated: 2026-08-30

Code: https://github.com/foss12138/Research-Ideation-Arena

Terminology

• Benchmark — 20× in this paper · explained in 2 episodes
• Consistency — 20× in this paper · explained in 3 episodes
• Accuracy — 19× in this paper · explained in 1 episode
• Core — 10× in this paper · explained in 2 episodes
• Alignment — 9× in this paper · explained in 1 episode
• Embeddings — 9× in this paper · explained in 2 episodes
• Foundation Model — 9× in this paper · explained in 3 episodes
• Foundation Models — 8× in this paper · explained in 7 episodes
• LLM judge — 8× in this paper · explained in 2 episodes
• Verifier — 8× in this paper · explained in 2 episodes
• Benchmarking — 7× in this paper · explained in 3 episodes
• Pairwise Comparisons — 7× in this paper · explained in 2 episodes
• Evaluation Dimensions — 6× in this paper · explained in 3 episodes
• Fine-Tuning — 6× in this paper · explained in 5 episodes
• LLM-as-a-Judge — 6× in this paper · explained in 3 episodes
• Multi-Agent System — 6× in this paper · explained in 6 episodes
• Verification — 6× in this paper · explained in 2 episodes
• Agent Architectures — 5× in this paper · explained in 1 episode
• Contextual Understanding — 5× in this paper · explained in 2 episodes
• Regularization — 5× in this paper · explained in 3 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Adaptability — 4× in this paper · explained in 1 episode
• Catastrophic Forgetting — 4× in this paper · explained in 5 episodes
• Embodied AI — 4× in this paper · explained in 2 episodes
• Reinforcement Learning — 4× in this paper · explained in 4 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Clustering — 3× in this paper · explained in 2 episodes
• Grounding — 3× in this paper · explained in 3 episodes
• Hallucination — 3× in this paper · explained in 3 episodes
• Iterative Refinement — 3× in this paper · explained in 3 episodes
• Pseudo-labels — 3× in this paper · explained in 2 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Annotator Agreement — 2× in this paper · explained in 1 episode
• Attention Mechanism — 2× in this paper · explained in 3 episodes
• Bradley-Terry model — 2× in this paper · explained in 2 episodes
• Calibration — 2× in this paper · explained in 7 episodes
• Continual Learning — 2× in this paper · explained in 2 episodes
• Contrastive Learning — 2× in this paper · explained in 5 episodes
• GNNs — 2× in this paper · explained in 2 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Prompt Engineering — 2× in this paper · explained in 4 episodes
• RAG — 2× in this paper · explained in 3 episodes
• Tokenization — 2× in this paper · explained in 2 episodes
• Trace — 2× in this paper · explained in 2 episodes
• 2-Wasserstein Distance — 1× in this paper · explained in 1 episode
• AI Agents — 1× in this paper · explained in 2 episodes
• Actor — 1× in this paper · explained in 3 episodes
• Adaptive Weighting — 1× in this paper · explained in 1 episode
• Agentic Architecture — 1× in this paper · explained in 1 episode
• Alignment Verification — 1× in this paper · explained in 1 episode
• Communication Overhead — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• Domain-Specific Language — 1× in this paper
• Domain-Specific Language (DSL) — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Dynamic Multi-Modal Adaptive Benchmarking — 1× in this paper
• F1 Score — 1× in this paper · explained in 3 episodes
• Graph Neural Networks (GNNs) — 1× in this paper · explained in 7 episodes
• Human-in-the-Loop — 1× in this paper · explained in 3 episodes
• Hypernetwork — 1× in this paper · explained in 3 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• Latent Reasoning — 1× in this paper · explained in 2 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Proximal Policy Optimization — 1× in this paper
• Proximal Policy Optimization (PPO) — 1× in this paper · explained in 5 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Structural Constraints — 1× in this paper · explained in 2 episodes
• Task Decomposition — 1× in this paper · explained in 2 episodes
• Temporal Convolutional Network — 1× in this paper
• Temporal consistency — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• Wasserstein Distance — 1× in this paper · explained in 4 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition
• The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
• Embodied Arena: A Comprehensive, Unified, and Evolving Evaluation Platform for Embodied AI
• AI Idea Bench 2025: AI Research Idea Generation Benchmark
• The Semantic Scholar Open Data Platform
• Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks
• SciArena: An Open Evaluation Platform for Non-Verifiable Scientific Literature-Grounded Tasks
• AI-Researcher: Autonomous Scientific Innovation
• CodeJudge: Evaluating Code Generation with Large Language Models
• Toward an Evaluation Science for Generative AI Systems
• Stephanie2: Thinking, Waiting, and Making Decisions Like Humans in Step-by-Step AI Social Chat
• LLM-as-a-Prophet: Understanding Predictive Intelligence with Prophet Arena
• MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses

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