Image de couverture de livre

Asynchronous LLM Function Calling

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Gim, In, Lee, Seung-seob, Zhong, Lin
Format:	Preprint
Publié:	2024
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

Prompt Cache: Modular Attention Reuse for Low-Latency Inference
par: Gim, In, et autres
Publié: (2023)

Pie: A Programmable Serving System for Emerging LLM Applications
par: Gim, In, et autres
Publié: (2025)

Cacheback: Speculative Decoding With Nothing But Cache
par: Ma, Zhiyao, et autres
Publié: (2025)

Concurrency without Model Changes: Future-based Asynchronous Function Calling for LLMs
par: Feng, Guangyu, et autres
Publié: (2026)

ToolACE: Winning the Points of LLM Function Calling
par: Liu, Weiwen, et autres
Publié: (2024)

Robotouille: An Asynchronous Planning Benchmark for LLM Agents
par: Gonzalez-Pumariega, Gonzalo, et autres
Publié: (2025)

NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLM
par: Wang, Zihan, et autres
Publié: (2025)

CompactRAG: Reducing LLM Calls and Token Overhead in Multi-Hop Question Answering
par: Yang, Hao, et autres
Publié: (2026)

Adaptable and Precise: Enterprise-Scenario LLM Function-Calling Capability Training Pipeline
par: Zeng, Guancheng, et autres
Publié: (2024)

PARL-MT: Learning to Call Functions in Multi-Turn Conversation with Progress Awareness
par: Chai, Huacan, et autres
Publié: (2025)

Large Language Models as Zero-shot Dialogue State Tracker through Function Calling
par: Li, Zekun, et autres
Publié: (2024)

Linguistic and Argument Diversity in Synthetic Data for Function-Calling Agents
par: Greenstein, Dan, et autres
Publié: (2026)

Think-Augmented Function Calling: Improving LLM Parameter Accuracy Through Embedded Reasoning
par: Wei, Lei, et autres
Publié: (2026)

Alopex: A Computational Framework for Enabling On-Device Function Calls with LLMs
par: Ran, Yide, et autres
Publié: (2024)

MeNTi: Bridging Medical Calculator and LLM Agent with Nested Tool Calling
par: Zhu, Yakun, et autres
Publié: (2024)

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
par: Abdelaziz, Ibrahim, et autres
Publié: (2024)

GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling
par: Xu, Hao-Xiang, et autres
Publié: (2026)

Dataverse: Open-Source ETL (Extract, Transform, Load) Pipeline for Large Language Models
par: Park, Hyunbyung, et autres
Publié: (2024)

Time to Talk: LLM Agents for Asynchronous Group Communication in Mafia Games
par: Eckhaus, Niv, et autres
Publié: (2025)

The LLM Already Knows: Estimating LLM-Perceived Question Difficulty via Hidden Representations
par: Zhu, Yubo, et autres
Publié: (2025)

SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models
par: Kim, Hyeonwoo, et autres
Publié: (2024)

You Have Thirteen Hours in Which to Solve the Labyrinth: Enhancing AI Game Masters with Function Calling
par: Song, Jaewoo, et autres
Publié: (2024)

Effective Strategies for Asynchronous Software Engineering Agents
par: Geng, Jiayi, et autres
Publié: (2026)

RC-GRPO: Reward-Conditioned Group Relative Policy Optimization for Multi-Turn Tool Calling Agents
par: Zhong, Haitian, et autres
Publié: (2026)

Culinary Class Wars: Evaluating LLMs using ASH in Cuisine Transfer Task
par: Lee, Hoonick, et autres
Publié: (2024)

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models
par: Belkhiter, Yannis, et autres
Publié: (2026)

CREFT: Sequential Multi-Agent LLM for Character Relation Extraction
par: Chun, Ye Eun, et autres
Publié: (2025)

LAPIS: Language Model-Augmented Police Investigation System
par: Kim, Heedou, et autres
Publié: (2024)

LoopTool: Closing the Data-Training Loop for Robust LLM Tool Calls
par: Zhang, Kangning, et autres
Publié: (2025)

An LLM-Tool Compiler for Fused Parallel Function Calling
par: Singh, Simranjit, et autres
Publié: (2024)

Unified Tool Integration for LLMs: A Protocol-Agnostic Approach to Function Calling
par: Ding, Peng, et autres
Publié: (2025)

Reasoning through Exploration: A Reinforcement Learning Framework for Robust Function Calling
par: Hao, Bingguang, et autres
Publié: (2025)

Graph-enhanced Large Language Models in Asynchronous Plan Reasoning
par: Lin, Fangru, et autres
Publié: (2024)

Call for Rigor in Reporting Quality of Instruction Tuning Data
par: Moon, Hyeonseok, et autres
Publié: (2025)

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
par: Cheng, Sitao, et autres
Publié: (2024)

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
par: Zhuo, Terry Yue, et autres
Publié: (2024)

Integrated Framework for LLM Evaluation with Answer Generation
par: Lee, Sujeong, et autres
Publié: (2025)

Latent Preference Modeling for Cross-Session Personalized Tool Calling
par: Yoon, Yejin, et autres
Publié: (2026)

CookingSense: A Culinary Knowledgebase with Multidisciplinary Assertions
par: Choi, Donghee, et autres
Publié: (2024)

Asynchronous and Segmented Bidirectional Encoding for NMT
par: Yang, Jingpu, et autres
Publié: (2024)