Cover Image

Learning API Functionality from In-Context Demonstrations for Tool-based Agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Patel, Bhrij, Jagmohan, Ashish, Vempaty, Aditya
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SEAL: Suite for Evaluating API-use of LLMs
by: Kim, Woojeong, et al.
Published: (2024)

Reflection-Based Memory For Web navigation Agents
by: Azam, Ruhana, et al.
Published: (2025)

Multimodal Auto Validation For Self-Refinement in Web Agents
by: Azam, Ruhana, et al.
Published: (2024)

MathViz-E: A Case-study in Domain-Specialized Tool-Using Agents
by: Bulusu, Arya, et al.
Published: (2024)

Agent-E: From Autonomous Web Navigation to Foundational Design Principles in Agentic Systems
by: Abuelsaad, Tamer, et al.
Published: (2024)

Agent-First Tool API: A Semantic Interface Paradigm for Enterprise AI Agent Systems
by: Pan, Kai
Published: (2026)

Multi-LLM QA with Embodied Exploration
by: Patel, Bhrij, et al.
Published: (2024)

Infant Agent: A Tool-Integrated, Logic-Driven Agent with Cost-Effective API Usage
by: Lei, Bin, et al.
Published: (2024)

In-N-Out: A Parameter-Level API Graph Dataset for Tool Agents
by: Lee, Seungkyu, et al.
Published: (2025)

Better RAG using Relevant Information Gain
by: Pickett, Marc, et al.
Published: (2024)

Leveraging In-Context Learning for Language Model Agents
by: Gupta, Shivanshu, et al.
Published: (2025)

DeepCodeSeek: Real-Time API Retrieval for Context-Aware Code Generation
by: Esakkiraja, Esakkivel, et al.
Published: (2025)

Code Comprehension then Auditing for Unsupervised LLM Evaluation
by: Patel, Bhrij, et al.
Published: (2024)

Factored Agents: Decoupling In-Context Learning and Memorization for Robust Tool Use
by: Roth, Nicholas, et al.
Published: (2025)

Building a Domain-specific Guardrail Model in Production
by: Niknazar, Mohammad, et al.
Published: (2024)

In-Context Learning with Iterative Demonstration Selection
by: Qin, Chengwei, et al.
Published: (2023)

Rectifying Demonstration Shortcut in In-Context Learning
by: Jang, Joonwon, et al.
Published: (2024)

Dynamic Demonstrations Controller for In-Context Learning
by: Zhao, Fei, et al.
Published: (2023)

ASTRA-bench: Evaluating Tool-Use Agent Reasoning and Action Planning with Personal User Context
by: Xiu, Zidi, et al.
Published: (2026)

Comparable Demonstrations are Important in In-Context Learning: A Novel Perspective on Demonstration Selection
by: Fan, Caoyun, et al.
Published: (2023)

Demonstration Selection for In-Context Learning via Reinforcement Learning
by: Wang, Xubin, et al.
Published: (2024)

Understanding the Dynamics of Demonstration Conflict in In-Context Learning
by: Jiao, Difan, et al.
Published: (2026)

Optimizing In-Context Demonstrations for LLM-based Automated Grading
by: Chu, Yucheng, et al.
Published: (2026)

API Agents vs. GUI Agents: Divergence and Convergence
by: Zhang, Chaoyun, et al.
Published: (2025)

Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation
by: Patel, Bhrij, et al.
Published: (2023)

AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents
by: Lu, Junting, et al.
Published: (2024)

DemoShapley: Valuation of Demonstrations for In-Context Learning
by: Xie, Shan, et al.
Published: (2024)

ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents
by: Shen, Haiyang, et al.
Published: (2024)

APEX: Agent Payment Execution with Policy for Autonomous Agent API Access
by: Uddin, Mohd Safwan, et al.
Published: (2026)

Learning to Select In-Context Demonstration Preferred by Large Language Model
by: Zhang, Zheng, et al.
Published: (2025)

Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps
by: Liu, Fuxiao, et al.
Published: (2023)

The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis
by: Zhang, Miaoran, et al.
Published: (2024)

Demonstration Notebook: Finding the Most Suited In-Context Learning Example from Interactions
by: Tang, Yiming, et al.
Published: (2024)

Learning Causally Invariant Reward Functions from Diverse Demonstrations
by: Ovinnikov, Ivan, et al.
Published: (2024)

Automatic Red Teaming LLM-based Agents with Model Context Protocol Tools
by: He, Ping, et al.
Published: (2025)

StableToolBench-MirrorAPI: Modeling Tool Environments as Mirrors of 7,000+ Real-World APIs
by: Guo, Zhicheng, et al.
Published: (2025)

Learning to Rewrite Tool Descriptions for Reliable LLM-Agent Tool Use
by: Guo, Ruocheng, et al.
Published: (2026)

Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning
by: Liu, Hui, et al.
Published: (2024)

When Correct Demonstrations Hurt: Rethinking the Role of Exemplars in In-Context Learning
by: Qiu, Chenghao, et al.
Published: (2026)

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations
by: Ruoss, Anian, et al.
Published: (2024)