Image de couverture de livre

Read, Grep, and Synthesize: Diagnosing Cross-Domain Seed Exposure for LLM Research Ideation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Choi, Yunju, Song, Min
Format:	Preprint
Publié:	2026
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Anchorless Diversification for Parallel LLM Ideation
par: Ibrahim, Fares Nabil, et autres
Publié: (2026)

Deep Ideation: Designing LLM Agents to Generate Novel Research Ideas on Scientific Concept Network
par: Zhao, Keyu, et autres
Publié: (2025)

Cross-Domain Demo-to-Code via Neurosymbolic Counterfactual Reasoning
par: Kim, Jooyoung, et autres
Publié: (2026)

Diagnosing the Reliability of LLM-as-a-Judge via Item Response Theory
par: Choi, Junhyuk, et autres
Publié: (2026)

PersonaFlow: Designing LLM-Simulated Expert Perspectives for Enhanced Research Ideation
par: Liu, Yiren, et autres
Publié: (2024)

Acceleron: A Tool to Accelerate Research Ideation
par: Nigam, Harshit, et autres
Publié: (2024)

More Than Can Be Said: A Benchmark and Framework for Pre-Question Scientific Ideation
par: Yu, Jie, et autres
Publié: (2026)

How Useful Is Cross-Domain Generalization for Training LLM Monitors?
par: Martin, Sam, et autres
Publié: (2026)

Models Recall What They Violate: Constraint Adherence in Multi-Turn LLM Ideation
par: Kruthof, Garvin
Publié: (2026)

HARPA: A Testability-Driven, Literature-Grounded Framework for Research Ideation
par: Vasu, Rosni, et autres
Publié: (2025)

SeedAIchemy: LLM-Driven Seed Corpus Generation for Fuzzing
par: Wen, Aidan, et autres
Publié: (2025)

What Does It Take to Be a Good AI Research Agent? Studying the Role of Ideation Diversity
par: Audran-Reiss, Alexis, et autres
Publié: (2025)

When Context Flips, Safety Breaks: Diagnosing Brittle Safety in Aligned Language Models
par: Choi, Dasol, et autres
Publié: (2026)

SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators
par: Shafipour, Rasoul, et autres
Publié: (2024)

Diagnosing Retrieval vs. Utilization Bottlenecks in LLM Agent Memory
par: Yuan, Boqin, et autres
Publié: (2026)

Structured Decomposition for LLM Reasoning: Cross-Domain Validation and Semantic Web Integration
par: Sadowski, Albert, et autres
Publié: (2026)

MetaMuse: Algorithm Generation via Creative Ideation
par: Ma, Ruiying, et autres
Publié: (2025)

The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas
par: Si, Chenglei, et autres
Publié: (2025)

Flow as the Cross-Domain Manipulation Interface
par: Xu, Mengda, et autres
Publié: (2024)

IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery
par: Garikaparthi, Aniketh, et autres
Publié: (2025)

A Privacy-Preserving Framework with Multi-Modal Data for Cross-Domain Recommendation
par: Wang, Li, et autres
Publié: (2024)

AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositions
par: Li, Jianxin, et autres
Publié: (2025)

Make LLM Learn to Synthesize from Streaming Experiences through Feedback
par: Hu, Zhenlin, et autres
Publié: (2026)

The Ramon Llull's Thinking Machine for Automated Ideation
par: Zhao, Xinran, et autres
Publié: (2025)

Evaluating LLM Reasoning in the Operations Research Domain with ORQA
par: Mostajabdaveh, Mahdi, et autres
Publié: (2024)

Diagnosing Live Within-Policy Instruction Conflicts in LLM Agents with Witnessed Resolution Profiles
par: Yan, Lu, et autres
Publié: (2026)

Towards Multi-dimensional Evaluation of LLM Summarization across Domains and Languages
par: Min, Hyangsuk, et autres
Publié: (2025)

Code Evolution for Control: Synthesizing Policies via LLM-Driven Evolutionary Search
par: Guo, Ping, et autres
Publié: (2026)

Diagnosing and Mitigating Sycophancy and Skepticism in LLM Causal Judgment
par: Chang, Edward Y.
Publié: (2026)

MEEA: Mere Exposure Effect-Driven Confrontational Optimization for LLM Jailbreaking
par: Zhang, Jianyi, et autres
Publié: (2025)

SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation
par: Zhang, Chunxu, et autres
Publié: (2026)

Diagnosing Generalization Failures in Fine-Tuned LLMs: A Cross-Architectural Study on Phishing Detection
par: Bobe III, Frank, et autres
Publié: (2026)

Augmenting Research Ideation with Data: An Empirical Investigation in Social Science
par: Liu, Xiao, et autres
Publié: (2025)

Scaffolding Recursive Divergence and Convergence in Story Ideation
par: Kim, Taewook, et autres
Publié: (2025)

Characterising LLM-Generated Competency Questions: a Cross-Domain Empirical Study using Open and Closed Models
par: Alharbi, Reham, et autres
Publié: (2026)

CoALFake: Collaborative Active Learning with Human-LLM Co-Annotation for Cross-Domain Fake News Detection
par: Aïmeur, Esma, et autres
Publié: (2026)

Syn-STARTS: Synthesized START Triage Scenario Generation Framework for Scalable LLM Evaluation
par: Hagiwara, Chiharu, et autres
Publié: (2025)

Target-specific Adaptation and Consistent Degradation Alignment for Cross-Domain Remaining Useful Life Prediction
par: Hou, Yubo, et autres
Publié: (2025)

To Call or Not to Call: Diagnosing Intrinsic Over-Calling Bias in LLM Agents
par: Shi, Wei, et autres
Publié: (2026)

Synthetic Reader Panels: Tournament-Based Ideation with LLM Personas for Autonomous Publishing
par: Zimmerman, Fred
Publié: (2026)