ForeSci: Evaluating LLM Agents for Forward-Looking AI Research Judgment
cs.AI
Submitted: 2026-05-30
Updated: 2026-09-26
Code: https://github.com/roytian1992/ResearchForesig
Terminology
Sources
- PreScience: A Dataset and Benchmark for Scientific Forecasting
- Arbitrariness of peer review: A Bayesian analysis of the NIPS experiment
- Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions
- HindSight: Evaluating LLM-Generated Research Ideas via Future Impact
- PaperQA: Retrieval-Augmented Generative Agent for Scientific Research
- Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents
- ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition
- AIRS-Bench: a Suite of Tasks for Frontier AI Research Science Agents
- Is this Idea Novel? An Automated Benchmark for Judgment of Research Ideas
- PROPHET: An Inferable Future Forecasting Benchmark with Causal Intervened Likelihood Estimation
- AI Can Learn Scientific Taste
- SciQAG: A Framework for Auto-Generated Science Question Answering Dataset with Fine-grained Evaluation
- PaperArena: An Evaluation Benchmark for Tool-Augmented Agentic Reasoning on Scientific Literature
- Learning to Predict Future-Aligned Research Proposals with Language Models
- Intern-Atlas: A Methodological Evolution Graph as Research Infrastructure for AI Scientists
- The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
- MIRAI: Evaluating LLM Agents for Event Forecasting
- FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction
- SciImpact: A Multi-Dimensional, Multi-Field Benchmark for Scientific Impact Prediction
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