mlsanityData to 7 Oct 2026

Infant Agent: A Tool-Integrated, Logic-Driven Agent with Cost-Effective API Usage

arXiv 2411.01114 ↗First posted 2 Nov 2024cs.AI cs.CLcited by 11

On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks

Abstract (arXiv)

Despite the impressive capabilities of large language models (LLMs), they currently exhibit two primary limitations, textbfuppercaseexpandafterromannumeral 1: They struggle to autonomously solve the real world engineering problem. textbfuppercaseexpandafterromannumeral 2: They remain challenged in reasoning through complex logic problems. To address these challenges, we developed the textscInfant Agent, integrating task-aware functions, operators, a hierarchical management system, and a memory retrieval mechanism. Together, these components enable large language models to sustain extended reasoning processes and handle complex, multi-step tasks efficiently, all while significantly reducing API costs. Using the textscInfant Agent, GPT-4o's accuracy on the SWE-bench-lite dataset rises from 0.33% to 30%, and in the AIME-2024 mathematics competition, it increases GPT-4o's accuracy from 13.3% to 37%.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 16 of its 30 references that are in the map. First posted on arXiv 2 Nov 2024.

Builds on

16 of 30 references.

Closest ancestors · 1

Same direction, newest first

  1. 2023MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework1 Aug

Other references · 15

  1. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,302
  2. 2023Let's Verify Step by Stepcited by 3,598
  3. 2023SWE-bench: Can Language Models Resolve Real-World GitHub Issues?cited by 3,193
  4. 2023GPQA: A Graduate-Level Google-Proof Q&A Benchmarkcited by 2,748
  5. 2024SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineeringcited by 1,628
  6. 2024Qwen2.5-Coder Technical Reportcited by 1,151
  7. 2024OpenHands: An Open Platform for AI Software Developers as Generalist Agentscited by 956
  8. 2023ChatDev: Communicative Agents for Software Developmentcited by 893
  9. 2023A Comprehensive Overview of Large Language Modelscited by 639
  10. 2024Executable Code Actions Elicit Better LLM Agentscited by 537
  11. 2024LLM Critics Help Catch LLM Bugscited by 138
  12. 2023Conversational Health Agents: A Personalized LLM-Powered Agent Frameworkcited by 91
3 more
  1. 2024MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problemscited by 41
  2. 2024Robin3D: Improving 3D Large Language Model via Robust Instruction Tuningcited by 26
  3. 2024SegVG: Transferring Object Bounding Box to Segmentation for Visual Groundingcited by 14

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 10; 2026: 1.

11 papers.

  1. 2025ComputerRL: Scaling End-to-End Online Reinforcement Learning for Computer Use Agentscited by 49
  2. 2025UTBoost: Rigorous Evaluation of Coding Agents on SWE-Benchcited by 44
  3. 2025OSWorld-Human: Benchmarking the Efficiency of Computer-Use Agentscited by 37
  4. 2025Issue Localization via LLM-Driven Iterative Code Graph Searchingcited by 22
  5. 2025AdInject: Real-World Black-Box Attacks on Web Agents via Advertising Deliverycited by 9
  6. 2025Dissecting the SWE-Bench Leaderboards: Profiling Submitters and Architectures of LLM- and Agent-Based Repair Systemscited by 8
  7. 2025InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interactioncited by 7
  8. 2025Agentic Software Issue Resolution with Large Language Models: A Surveycited by 6
  9. 2026TRACE: Trajectory Recovery for Continuous Mechanism Evolution in Causal Representation Learningcited by 4
  10. 2025ExpVG: Investigating the Design Space of Visual Grounding in Multimodal Large Language Modelcited by 2
  11. 2025Match Chat: Real Time Generative AI and Generative Computing for Tenniscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025Unifying Language Agent Algorithms with Graph-based Orchestration Engine for Reproducible Agent Research
  2. 2025AgentMath: Empowering Mathematical Reasoning for Large Language Models via Tool-Augmented Agent
  3. 2024ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents
  4. 2025Generalizability of Large Language Model-Based Agents: A Comprehensive Survey
  5. 2025OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning
  6. 2025Distilling LLM Agent into Small Models with Retrieval and Code Tools
  7. 2025Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning
  8. 2023Modeling Complex Mathematical Reasoning via Large Language Model based MathAgent