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Collections including paper arxiv:2509.24002

Papers about Tool Use / Function Calling

Hammer: Robust Function-Calling for On-Device Language Models via Function Masking

Paper • 2410.04587 • Published Oct 6, 2024 • 2
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs

Paper • 2402.15491 • Published Feb 23, 2024 • 15
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

Paper • 2406.18518 • Published Jun 26, 2024 • 25
APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay

Paper • 2504.03601 • Published Apr 4, 2025 • 18

Foundational & Modern AI Research (Curated)

A curated selection of foundational and modern AI research papers that meaningfully influence how real-world AI systems are designed, evaluated, and g

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 121
Scaling Laws for Neural Language Models

Paper • 2001.08361 • Published Jan 23, 2020 • 10
Training Compute-Optimal Large Language Models

Paper • 2203.15556 • Published Mar 29, 2022 • 11
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT

Paper • 2210.04186 • Published Oct 9, 2022

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6, 2025 • 513
Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play

Paper • 2509.25541 • Published Sep 29, 2025 • 142
Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9, 2025 • 277
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29, 2025 • 148

RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation

Paper • 2509.16198 • Published Sep 19, 2025 • 129
SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?

Paper • 2509.16941 • Published Sep 21, 2025 • 21
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Paper • 2303.08896 • Published Mar 15, 2023 • 4
From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Paper • 2404.16130 • Published Apr 24, 2024 • 7

MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers

Paper • 2508.20453 • Published Aug 28, 2025 • 63
MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use

Paper • 2509.24002 • Published Sep 28, 2025 • 180
TheMCPCompany: Creating General-purpose Agents with Task-specific Tools

Paper • 2510.19286 • Published Oct 22, 2025 • 9
MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers

Paper • 2508.14704 • Published Aug 20, 2025 • 43

smol-training-playbook

Running on CPU Upgrade

Featured

3.12k

The Smol Training Playbook

📚

3.12k

The secrets to building world-class LLMs
LLM-in-Sandbox Elicits General Agentic Intelligence

Paper • 2601.16206 • Published Jan 22 • 86
EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience

Paper • 2601.15876 • Published Jan 22 • 92
BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution

Paper • 2510.08697 • Published Oct 9, 2025 • 39

MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use

Paper • 2509.24002 • Published Sep 28, 2025 • 180

LongCodeZip: Compress Long Context for Code Language Models

Paper • 2510.00446 • Published Oct 1, 2025 • 108
The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain

Paper • 2509.26507 • Published Sep 30, 2025 • 550
MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use

Paper • 2509.24002 • Published Sep 28, 2025 • 180
GEM: A Gym for Agentic LLMs

Paper • 2510.01051 • Published Oct 1, 2025 • 91

LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging Queries

Paper • 2508.15760 • Published Aug 21, 2025 • 47
LiveMCPBench: Can Agents Navigate an Ocean of MCP Tools?

Paper • 2508.01780 • Published Aug 3, 2025 • 21
API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs

Paper • 2304.08244 • Published Apr 14, 2023 • 1
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published Aug 22, 2025 • 162

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations

Paper • 2508.09789 • Published Aug 13, 2025 • 5
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

Paper • 2508.13186 • Published Aug 14, 2025 • 20
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents

Paper • 2508.04038 • Published Aug 6, 2025 • 1
Prompt Orchestration Markup Language

Paper • 2508.13948 • Published Aug 19, 2025 • 48

Papers about Tool Use / Function Calling

Hammer: Robust Function-Calling for On-Device Language Models via Function Masking

Paper • 2410.04587 • Published Oct 6, 2024 • 2
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs

Paper • 2402.15491 • Published Feb 23, 2024 • 15
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

Paper • 2406.18518 • Published Jun 26, 2024 • 25
APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay

Paper • 2504.03601 • Published Apr 4, 2025 • 18

smol-training-playbook

Running on CPU Upgrade

Featured

3.12k

The Smol Training Playbook

📚

3.12k

The secrets to building world-class LLMs
LLM-in-Sandbox Elicits General Agentic Intelligence

Paper • 2601.16206 • Published Jan 22 • 86
EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience

Paper • 2601.15876 • Published Jan 22 • 92
BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution

Paper • 2510.08697 • Published Oct 9, 2025 • 39

Foundational & Modern AI Research (Curated)

A curated selection of foundational and modern AI research papers that meaningfully influence how real-world AI systems are designed, evaluated, and g

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 121
Scaling Laws for Neural Language Models

Paper • 2001.08361 • Published Jan 23, 2020 • 10
Training Compute-Optimal Large Language Models

Paper • 2203.15556 • Published Mar 29, 2022 • 11
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT

Paper • 2210.04186 • Published Oct 9, 2022

MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use

Paper • 2509.24002 • Published Sep 28, 2025 • 180

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6, 2025 • 513
Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play

Paper • 2509.25541 • Published Sep 29, 2025 • 142
Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9, 2025 • 277
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29, 2025 • 148

LongCodeZip: Compress Long Context for Code Language Models

Paper • 2510.00446 • Published Oct 1, 2025 • 108
The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain

Paper • 2509.26507 • Published Sep 30, 2025 • 550
MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use

Paper • 2509.24002 • Published Sep 28, 2025 • 180
GEM: A Gym for Agentic LLMs

Paper • 2510.01051 • Published Oct 1, 2025 • 91

RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation

Paper • 2509.16198 • Published Sep 19, 2025 • 129
SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?

Paper • 2509.16941 • Published Sep 21, 2025 • 21
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Paper • 2303.08896 • Published Mar 15, 2023 • 4
From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Paper • 2404.16130 • Published Apr 24, 2024 • 7

LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging Queries

Paper • 2508.15760 • Published Aug 21, 2025 • 47
LiveMCPBench: Can Agents Navigate an Ocean of MCP Tools?

Paper • 2508.01780 • Published Aug 3, 2025 • 21
API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs

Paper • 2304.08244 • Published Apr 14, 2023 • 1
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published Aug 22, 2025 • 162

MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers

Paper • 2508.20453 • Published Aug 28, 2025 • 63
MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use

Paper • 2509.24002 • Published Sep 28, 2025 • 180
TheMCPCompany: Creating General-purpose Agents with Task-specific Tools

Paper • 2510.19286 • Published Oct 22, 2025 • 9
MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers

Paper • 2508.14704 • Published Aug 20, 2025 • 43

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations

Paper • 2508.09789 • Published Aug 13, 2025 • 5
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

Paper • 2508.13186 • Published Aug 14, 2025 • 20
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents

Paper • 2508.04038 • Published Aug 6, 2025 • 1
Prompt Orchestration Markup Language

Paper • 2508.13948 • Published Aug 19, 2025 • 48

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