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Collections including paper arxiv:2508.20453

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

about 15 hours ago

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 23
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 85
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review

Paper • 2504.19678 • Published Apr 28 • 3
Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions

Paper • 2503.23278 • Published Mar 30 • 1
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers

Paper • 2508.20453 • Published Aug 28 • 63
MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers

Paper • 2508.14704 • Published Aug 20 • 42

Provable Benefits of In-Tool Learning for Large Language Models

Paper • 2508.20755 • Published Aug 28 • 11
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers

Paper • 2508.20453 • Published Aug 28 • 63
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on τ-bench

Paper • 2508.20931 • Published Aug 28 • 15
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning

Paper • 2509.08755 • Published Sep 10 • 56

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

Paper • 2508.20453 • Published Aug 28 • 63

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

Paper • 2410.04587 • Published Oct 6, 2024 • 2
TaskCraft: Automated Generation of Agentic Tasks

Paper • 2506.10055 • Published Jun 11 • 32
Direct Multi-Turn Preference Optimization for Language Agents

Paper • 2406.14868 • Published Jun 21, 2024
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers

Paper • 2508.20453 • Published Aug 28 • 63

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

Paper • 2508.20453 • Published Aug 28 • 63

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

Paper • 2508.20453 • Published Aug 28 • 63

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

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

Paper • 2509.24002 • Published Sep 28 • 171
TheMCPCompany: Creating General-purpose Agents with Task-specific Tools

Paper • 2510.19286 • Published Oct 22 • 8
MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers

Paper • 2508.14704 • Published Aug 20 • 42

Are We on the Right Way for Assessing Document Retrieval-Augmented Generation?

Paper • 2508.03644 • Published Aug 5 • 25
WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent

Paper • 2508.05748 • Published Aug 7 • 139
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers

Paper • 2508.20453 • Published Aug 28 • 63

about 17 hours ago

Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis

Paper • 2505.13227 • Published May 19 • 45
facebook/natural_reasoning

Viewer • Updated Feb 21 • 1.15M • 2.51k • 544
nvidia/OpenMathReasoning

Viewer • Updated May 27 • 5.68M • 12.2k • 361
Search Arena: Analyzing Search-Augmented LLMs

Paper • 2506.05334 • Published Jun 5 • 17

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

about 15 hours ago

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 23
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 85
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

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

Paper • 2508.20453 • Published Aug 28 • 63

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review

Paper • 2504.19678 • Published Apr 28 • 3
Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions

Paper • 2503.23278 • Published Mar 30 • 1
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers

Paper • 2508.20453 • Published Aug 28 • 63
MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers

Paper • 2508.14704 • Published Aug 20 • 42

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

Paper • 2508.20453 • Published Aug 28 • 63

Provable Benefits of In-Tool Learning for Large Language Models

Paper • 2508.20755 • Published Aug 28 • 11
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers

Paper • 2508.20453 • Published Aug 28 • 63
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on τ-bench

Paper • 2508.20931 • Published Aug 28 • 15
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning

Paper • 2509.08755 • Published Sep 10 • 56

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

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

Paper • 2509.24002 • Published Sep 28 • 171
TheMCPCompany: Creating General-purpose Agents with Task-specific Tools

Paper • 2510.19286 • Published Oct 22 • 8
MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers

Paper • 2508.14704 • Published Aug 20 • 42

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

Paper • 2508.20453 • Published Aug 28 • 63

Are We on the Right Way for Assessing Document Retrieval-Augmented Generation?

Paper • 2508.03644 • Published Aug 5 • 25
WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent

Paper • 2508.05748 • Published Aug 7 • 139
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers

Paper • 2508.20453 • Published Aug 28 • 63

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

Paper • 2410.04587 • Published Oct 6, 2024 • 2
TaskCraft: Automated Generation of Agentic Tasks

Paper • 2506.10055 • Published Jun 11 • 32
Direct Multi-Turn Preference Optimization for Language Agents

Paper • 2406.14868 • Published Jun 21, 2024
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers

Paper • 2508.20453 • Published Aug 28 • 63

about 17 hours ago

Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis

Paper • 2505.13227 • Published May 19 • 45
facebook/natural_reasoning

Viewer • Updated Feb 21 • 1.15M • 2.51k • 544
nvidia/OpenMathReasoning

Viewer • Updated May 27 • 5.68M • 12.2k • 361
Search Arena: Analyzing Search-Augmented LLMs

Paper • 2506.05334 • Published Jun 5 • 17

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