api call

Advanced Black-Box Tuning of Large Language Models with Limited API Calls AAAI 2026 Declarative Techniques for NL Queries over Heterogeneous Data EMNLP 2025 DispatchQA: A Benchmark for Small Function Calling Language Models in E-Commerce Applications EMNLP 2025 ExploraCoder: Advancing Code Generation for Multiple Unseen APIs via Planning and Chained Exploration ACL 2025 Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training NAACL 2025 Learning API Functionality from In-Context Demonstrations for Tool-based Agents EMNLP 2025 NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls EMNLP 2025 Self Knowledge-Tracing for Tool Use (SKT-Tool): Helping LLM Agents Understand Their Capabilities in Tool Use NAACL 2025 ToolACE: Winning the Points of LLM Function Calling ICLR 2025 ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models ICLR 2025 ToolReflection: Improving Large Language Models for Real-World API Calls with Self-Generated Data ACL 2025 API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs ACL 2024 Gorilla: Large Language Model Connected with Massive APIs NeurIPS 2024 LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems NAACL 2024 API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs EMNLP 2023 Toolformer: Language Models Can Teach Themselves to Use Tools NeurIPS 2023 Dynamic Malware Analysis with Feature Engineering and Feature Learning AAAI 2020 JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation EMNLP 2019