Image de couverture de livre

DeepInnovator: Triggering the Innovative Capabilities of LLMs

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Fan, Tianyu, Zhang, Fengji, Zheng, Yuxiang, Chen, Bei, Niu, Xinyao, Huang, Chengen, Lin, Junyang, Huang, Chao
Format:	Preprint
Publié:	2026
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Understanding DeepResearch via Reports
par: Fan, Tianyu, et autres
Publié: (2025)

A$^2$Search: Ambiguity-Aware Question Answering with Reinforcement Learning
par: Zhang, Fengji, et autres
Publié: (2025)

AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents
par: Tang, Jiabin, et autres
Publié: (2025)

EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving
par: Dou, Shihan, et autres
Publié: (2025)

Understanding Textual Capability Degradation in Speech LLMs via Parameter Importance Analysis
par: Wang, Chao, et autres
Publié: (2025)

Needle in the Web: A Benchmark for Retrieving Targeted Web Pages in the Wild
par: Wang, Yumeng, et autres
Publié: (2025)

Are Your LLMs Capable of Stable Reasoning?
par: Liu, Junnan, et autres
Publié: (2024)

How Does Alignment Enhance LLMs' Multilingual Capabilities? A Language Neurons Perspective
par: Zhang, Shimao, et autres
Publié: (2025)

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
par: DeepSeek-AI, et autres
Publié: (2025)

eSapiens's DEREK Module: Deep Extraction & Reasoning Engine for Knowledge with LLMs
par: Shi, Isaac, et autres
Publié: (2025)

CrossWordBench: Evaluating the Reasoning Capabilities of LLMs and LVLMs with Controllable Puzzle Generation
par: Leng, Jixuan, et autres
Publié: (2025)

DeepPlanner: Scaling Planning Capability for Deep Research Agents via Advantage Shaping
par: Fan, Wei, et autres
Publié: (2025)

Vulnerability of LLMs' Stated Beliefs? LLMs Belief Resistance Check Through Strategic Persuasive Conversation Interventions
par: Huang, Fan, et autres
Publié: (2026)

CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds
par: Wang, Lei, et autres
Publié: (2024)

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs
par: Li, Yangning, et autres
Publié: (2025)

LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
par: Huang, Chengsong, et autres
Publié: (2023)

Ranking LLMs by compression
par: Guo, Peijia, et autres
Publié: (2024)

Self-Evolved Reward Learning for LLMs
par: Huang, Chenghua, et autres
Publié: (2024)

RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability
par: Zhang, Yichi, et autres
Publié: (2025)

Yi: Open Foundation Models by 01.AI
par: AI, 01., et autres
Publié: (2024)

Stealthy Backdoor Attacks against LLMs Based on Natural Style Triggers
par: Wei, Jiali, et autres
Publié: (2026)

ToBlend: Token-Level Blending With an Ensemble of LLMs to Attack AI-Generated Text Detection
par: Huang, Fan, et autres
Publié: (2024)

HiBench: Benchmarking LLMs Capability on Hierarchical Structure Reasoning
par: Jiang, Zhuohang, et autres
Publié: (2025)

SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization
par: Sun, Huashan, et autres
Publié: (2025)

Satisfiability Solving with LLMs: A Matched-Pair Evaluation of Reasoning Capability
par: Zhang, Leizhen, et autres
Publié: (2026)

Fuzzy Reasoning Chain (FRC): An Innovative Reasoning Framework from Fuzziness to Clarity
par: Chen, Ping, et autres
Publié: (2025)

RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs
par: Huang, Zhongzhan, et autres
Publié: (2025)

Explore the Reasoning Capability of LLMs in the Chess Testbed
par: Wang, Shu, et autres
Publié: (2024)

Assessing the Capability of LLMs in Solving POSCOMP Questions
par: Viegas, Cayo, et autres
Publié: (2025)

Node Importance Estimation Leveraging LLMs for Semantic Augmentation in Knowledge Graphs
par: Lin, Xinyu, et autres
Publié: (2024)

Evaluating and Enhancing LLMs Agent based on Theory of Mind in Guandan: A Multi-Player Cooperative Game under Imperfect Information
par: Yim, Yauwai, et autres
Publié: (2024)

A Lightweight Framework for Trigger-Guided LoRA-Based Self-Adaptation in LLMs
par: Wei, Jiacheng, et autres
Publié: (2025)

RAG-R1: Incentivizing the Search and Reasoning Capabilities of LLMs through Multi-query Parallelism
par: Tan, Zhiwen, et autres
Publié: (2025)

Can LLMs Think Like Consumers? Benchmarking Crowd-Level Reaction Reconstruction with ConsumerSimBench
par: Wang, Tianyu, et autres
Publié: (2026)

PlanGenLLMs: A Modern Survey of LLM Planning Capabilities
par: Wei, Hui, et autres
Publié: (2025)

Are LLMs Effective Negotiators? Systematic Evaluation of the Multifaceted Capabilities of LLMs in Negotiation Dialogues
par: Kwon, Deuksin, et autres
Publié: (2024)

DeepPlanning: Benchmarking Long-Horizon Agentic Planning with Verifiable Constraints
par: Zhang, Yinger, et autres
Publié: (2026)

An Extensive Evaluation of PDDL Capabilities in off-the-shelf LLMs
par: Vyas, Kaustubh, et autres
Publié: (2025)

A Comparison of DeepSeek and Other LLMs
par: Gao, Tianchen, et autres
Publié: (2025)

Scaling In-Context Online Learning Capability of LLMs via Cross-Episode Meta-RL
par: Lin, Xiaofeng, et autres
Publié: (2026)