arXiv AI
Jul 1
Agentic-Ideation: Sample Efficient Agentic Trajectories Synthesis for Scientific Ideation Agents
arXiv:2606. 31229v1 Announce Type: new Abstract: Ideation plays a pivotal role in scientific discovery.
MindFlow: Mind Supernet Powered Thinking Flows for Research Idea Innovation
MindFlow is a framework that treats research idea generation as a graph-structured flow of modular thinking operators, guided by a probabilistic mind supernet. It dynamically samples thinking flows for a given topic and optimizes them through a tournament-based ranking to favor higher-quality ideas. The approach also introduces an evaluation protocol that jointly assesses problem finding and solving, moving beyond simple title or abstract judgments.
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arXiv AI
Oct 21
IDEAgent: Agentic Quality-Diversity Search for Research Idea Generation
arXiv:2607.22375v2 Announce Type: replace Abstract: Large Language Models (LLMs) have significantly advanced the automation of scientific discovery. However, existing systems share a core limitation:...
arXiv AI
Oct 1
AIM: Agentic Idea Management for Automated Research
arXiv:2609.38445v1 Announce Type: new Abstract: Frontier LLMs are increasingly used to automate scientific research through iterative search. We distinguish idea-driven search from solution-driven se...
arXiv Computation and Language
Aug 27
Mind2Report: Expert-Level Commercial Report Synthesis via Cognitive Deep Research Agent
Mind2Report is a cognitive deep research agent designed to produce expert-level commercial reports from large, noisy web sources. It first clarifies detailed commercial intent to build a structured outline, then recursively gathers and validates evidence into a research memory that evolves with the outline, enabling iterative synthesis of comprehensive reports. The authors also introduce QRC‑Eval, a benchmark of 200 real-world commercial tasks, and show through extensive experiments that Mind2Report outperforms existing proprietary and open-source deep research agents, with ablation studies confirming the contribution of each component.
Hugging Face Trending Papers
Jun 10
Automated Creativity Evaluation of Language Models Across Open-Ended Tasks
Large language models (LLMs) have achieved remarkable progress in language understanding, reasoning, and generation, sparking growing interest in their creative potential. Realizing this potential requires systematic and scalable methods for evaluating creativity across diverse tasks.
arXiv AI
Jun 6
The Virtual Roundtable: Multi-Agent Personas Simulating the Dynamics of Human Brainstorming
arXiv:2606. 05178v1 Announce Type: cross Abstract: As AI-driven product development accelerates, the bottleneck is shifting from how we build to what we build.
arXiv Computation and Language
Sep 22
DeepInstructor: An Agentic AI Instructor for Experience-Driven Idea Evaluation
arXiv:2609.22104v1 Announce Type: new Abstract: As automated scientific discovery advances, Large Language Models (LLMs) can now generate research ideas at an unprecedented scale, shifting the bottle...
arXiv AI
Jun 11
Automated Creativity Evaluation of Language Models Across Open-Ended Tasks
arXiv:2606. 11762v1 Announce Type: cross Abstract: Large language models (LLMs) have achieved remarkable progress in language understanding, reasoning, and generation, sparking growing interest in their creative potential.
arXiv Machine Learning
Jul 17
Idea2Plan: Exploring AI-Powered Research Planning
arXiv:2510. 24891v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have demonstrated significant potential to accelerate scientific discovery as valuable tools for analyzing data, generating hypotheses, and supporting innovative approaches in various scientific fields.
arXiv AI
Sep 1
Ideation Arena: Evaluating LLM Generated Research Ideas with Battle-style Human Expert Assessment
Ideation Arena is a battle-style platform that evaluates research ideas generated by large language models (LLMs) and research agents through pairwise human assessment. The system builds shared literature contexts, collects over 6,000 double-blind comparisons from 105 computer science researchers, and constructs an Elo rating leaderboard to rank proposal-stage expert preferences. It also introduces Ideation Arena Eval, a benchmark to test whether automated evaluators align with human preferences, finding that current LLM judges achieve at best 72.56% Soft Accuracy on overall quality.
arXiv AI
Oct 7
Universe of Thoughts: A Computational Framework for Creative Reasoning in Large Language Models
arXiv:2511.20471v3 Announce Type: replace Abstract: Recent advances in Large Language Model (LLM) reasoning have improved conventional problem solving, but creative reasoning remains comparatively un...
arXiv AI
Oct 27
AlphaIdeaBench: Benchmarking Automated Research Idea Generation under Feasibility Constraints with Peer Review Alignment
arXiv:2610.33644v1 Announce Type: new Abstract: Research ideas are always proposed under resource constraints: a plan must fit the available compute, API credit, and time. Yet evaluations of research...