Cover Image

From Summary to Action: Enhancing Large Language Models for Complex Tasks with Open World APIs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Yulong, Yuan, Yunlong, Wang, Chunwei, Han, Jianhua, Ma, Yongqiang, Zhang, Li, Zheng, Nanning, Xu, Hang
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Computation and Language Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment
by: Ou, Jiefu, et al.
Published: (2024)

Beyond Perfect APIs: A Comprehensive Evaluation of LLM Agents Under Real-World API Complexity
by: Kim, Doyoung, et al.
Published: (2026)

LongReasonArena: A Long Reasoning Benchmark for Large Language Models
by: Ding, Jiayu, et al.
Published: (2025)

Attacks on Third-Party APIs of Large Language Models
by: Zhao, Wanru, et al.
Published: (2024)

Orion-14B: Open-source Multilingual Large Language Models
by: Chen, Du, et al.
Published: (2024)

See Through Their Minds: Learning Transferable Neural Representation from Cross-Subject fMRI
by: Liu, Yulong, et al.
Published: (2024)

An Investigation into Misuse of Java Security APIs by Large Language Models
by: Mousavi, Zahra, et al.
Published: (2024)

Eliciting Causal Abilities in Large Language Models for Reasoning Tasks
by: Wang, Yajing, et al.
Published: (2024)

Large Language Model-based Human-Agent Collaboration for Complex Task Solving
by: Feng, Xueyang, et al.
Published: (2024)

Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models
by: Yang, Yuncheng, et al.
Published: (2024)

Navigate Complex Physical Worlds via Geometrically Constrained LLM
by: Huang, Yongqiang, et al.
Published: (2024)

Assessing the Performance of Chinese Open Source Large Language Models in Information Extraction Tasks
by: Cai, Yida, et al.
Published: (2024)

From Monolingual to Bilingual: Investigating Language Conditioning in Large Language Models for Psycholinguistic Tasks
by: Yuan, Shuzhou, et al.
Published: (2025)

Learning From Mistakes Makes LLM Better Reasoner
by: An, Shengnan, et al.
Published: (2023)

Task-Aligned Tool Recommendation for Large Language Models
by: Gao, Hang, et al.
Published: (2024)

CorNav: Autonomous Agent with Self-Corrected Planning for Zero-Shot Vision-and-Language Navigation
by: Liang, Xiwen, et al.
Published: (2023)

From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models
by: He, Qianyu, et al.
Published: (2024)

OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
by: Huang, Siming, et al.
Published: (2024)

Tower: An Open Multilingual Large Language Model for Translation-Related Tasks
by: Alves, Duarte M., et al.
Published: (2024)

From Word to World: Can Large Language Models be Implicit Text-based World Models?
by: Li, Yixia, et al.
Published: (2025)

Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis
by: Chen, Kai, et al.
Published: (2023)

Large Language Model-Based Generation of Discharge Summaries
by: Rodrigues, Tiago, et al.
Published: (2025)

LLM+AL: Bridging Large Language Models and Action Languages for Complex Reasoning about Actions
by: Ishay, Adam, et al.
Published: (2025)

Enhancing Complex Instruction Following for Large Language Models with Mixture-of-Contexts Fine-tuning
by: Lu, Yuheng, et al.
Published: (2025)

G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model
by: Gao, Jiahui, et al.
Published: (2023)

Embodied Task Planning via Graph-Informed Action Generation with Large Language Models
by: Li, Xiang, et al.
Published: (2026)

Transfer-Prompting: Enhancing Cross-Task Adaptation in Large Language Models via Dual-Stage Prompts Optimization
by: Chang, Yupeng, et al.
Published: (2025)

OpenMobile: Building Open Mobile Agents with Task and Trajectory Synthesis
by: Cheng, Kanzhi, et al.
Published: (2026)

Enhancing Multimodal Large Language Models Complex Reason via Similarity Computation
by: Zhang, Xiaofeng, et al.
Published: (2024)

On the Robustness of Editing Large Language Models
by: Ma, Xinbei, et al.
Published: (2024)

Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks
by: Xu, Shicheng, et al.
Published: (2023)

TULIP: Adapting Open-Source Large Language Models for Underrepresented Languages and Specialized Financial Tasks
by: Demirtaş, İrem, et al.
Published: (2025)

Surgical Action Planning with Large Language Models
by: Xu, Mengya, et al.
Published: (2025)

Common 7B Language Models Already Possess Strong Math Capabilities
by: Li, Chen, et al.
Published: (2024)

Enhancing Large Language Models with Neurosymbolic Reasoning for Multilingual Tasks
by: Nezhad, Sina Bagheri, et al.
Published: (2025)

Make Your LLM Fully Utilize the Context
by: An, Shengnan, et al.
Published: (2024)

On the Thinking-Language Modeling Gap in Large Language Models
by: Liu, Chenxi, et al.
Published: (2025)

Optimizing Multi-Task Learning for Enhanced Performance in Large Language Models
by: Qi, Zhen, et al.
Published: (2024)

Squrve: A Unified and Modular Framework for Complex Real-World Text-to-SQL Tasks
by: Wang, Yihan, et al.
Published: (2025)

Octopus: On-device language model for function calling of software APIs
by: Chen, Wei, et al.
Published: (2024)