Learning to Ideate for Scientific Impact
cs.AI, cs.CL
Submitted: 2026-09-24
Updated: 2026-09-24
Terminology
Sources
- DeepInnovator: Triggering the Innovative Capabilities of LLMs
- Forecasting high-impact research topics via machine learning on evolving knowledge graphs
- Generating Interesting Scientific Ideas using Knowledge Graphs and LLMs: Evaluations with 100 Research Group Leaders
- PreScience: A Dataset and Benchmark for Scientific Forecasting
- IdeaBench: Benchmarking Large Language Models for Research Idea Generation
- ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models
- Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
- Equilibrate RLHF: Towards Balancing Helpfulness-Safety Trade-off in Large Language Models
- LDC: Learning to Generate Research Idea with Dynamic Control
- AI Can Learn Scientific Taste
- From Newborn to Impact: Bias-Aware Citation Prediction
- Training language models to follow instructions with human feedback
- A review of the literature on citation impact indicators
- AI Idea Bench 2025: AI Research Idea Generation Benchmark
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Reinforcement Learning for LLM Post-Training: A Survey
- Proof of Time: A Benchmark for Evaluating Scientific Idea Judgments
- From Words to Worth: Newborn Article Impact Prediction with LLM
- SciImpact: A Multi-Dimensional, Multi-Field Benchmark for Scientific Impact Prediction
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