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Collections including paper arxiv:2507.12806

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

EmbRACE-3K: Embodied Reasoning and Action in Complex Environments

Paper • 2507.10548 • Published Jul 14 • 36
OmniEAR: Benchmarking Agent Reasoning in Embodied Tasks

Paper • 2508.05614 • Published Aug 7 • 20
MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models

Paper • 2507.12806 • Published Jul 17 • 20
DeepPHY: Benchmarking Agentic VLMs on Physical Reasoning

Paper • 2508.05405 • Published Aug 7 • 64

Model Evaluation

Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon

Paper • 2502.07445 • Published Feb 11 • 11
ARR: Question Answering with Large Language Models via Analyzing, Retrieving, and Reasoning

Paper • 2502.04689 • Published Feb 7 • 7
Analyze Feature Flow to Enhance Interpretation and Steering in Language Models

Paper • 2502.03032 • Published Feb 5 • 60
Preference Leakage: A Contamination Problem in LLM-as-a-judge

Paper • 2502.01534 • Published Feb 3 • 40

a collection of algorithmic agents for user interfaces/interactions, program synthesis, and robotics

End-to-End Goal-Driven Web Navigation

Paper • 1602.02261 • Published Feb 6, 2016
Learning Language Games through Interaction

Paper • 1606.02447 • Published Jun 8, 2016
Naturalizing a Programming Language via Interactive Learning

Paper • 1704.06956 • Published Apr 23, 2017
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration

Paper • 1802.08802 • Published Feb 24, 2018 • 1

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

Paper • 2508.15760 • Published Aug 21 • 46
LiveMCPBench: Can Agents Navigate an Ocean of MCP Tools?

Paper • 2508.01780 • Published Aug 3 • 19
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 • 154

Agent Evaluation

MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models

Paper • 2507.12806 • Published Jul 17 • 20
Survey on Evaluation of LLM-based Agents

Paper • 2503.16416 • Published Mar 20 • 95

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3, 2024 • 34
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17, 2024 • 27
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27, 2024 • 126
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17, 2024 • 22

AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

Paper • 2402.15506 • Published Feb 23, 2024 • 18
AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent

Paper • 2404.03648 • Published Apr 4, 2024 • 29
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts

Paper • 2405.19893 • Published May 30, 2024 • 33
Parrot: Efficient Serving of LLM-based Applications with Semantic Variable

Paper • 2405.19888 • Published May 30, 2024 • 7

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

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

Paper • 2508.15760 • Published Aug 21 • 46
LiveMCPBench: Can Agents Navigate an Ocean of MCP Tools?

Paper • 2508.01780 • Published Aug 3 • 19
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 • 154

EmbRACE-3K: Embodied Reasoning and Action in Complex Environments

Paper • 2507.10548 • Published Jul 14 • 36
OmniEAR: Benchmarking Agent Reasoning in Embodied Tasks

Paper • 2508.05614 • Published Aug 7 • 20
MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models

Paper • 2507.12806 • Published Jul 17 • 20
DeepPHY: Benchmarking Agentic VLMs on Physical Reasoning

Paper • 2508.05405 • Published Aug 7 • 64

Agent Evaluation

MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models

Paper • 2507.12806 • Published Jul 17 • 20
Survey on Evaluation of LLM-based Agents

Paper • 2503.16416 • Published Mar 20 • 95

Model Evaluation

Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon

Paper • 2502.07445 • Published Feb 11 • 11
ARR: Question Answering with Large Language Models via Analyzing, Retrieving, and Reasoning

Paper • 2502.04689 • Published Feb 7 • 7
Analyze Feature Flow to Enhance Interpretation and Steering in Language Models

Paper • 2502.03032 • Published Feb 5 • 60
Preference Leakage: A Contamination Problem in LLM-as-a-judge

Paper • 2502.01534 • Published Feb 3 • 40

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3, 2024 • 34
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17, 2024 • 27
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27, 2024 • 126
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17, 2024 • 22

a collection of algorithmic agents for user interfaces/interactions, program synthesis, and robotics

End-to-End Goal-Driven Web Navigation

Paper • 1602.02261 • Published Feb 6, 2016
Learning Language Games through Interaction

Paper • 1606.02447 • Published Jun 8, 2016
Naturalizing a Programming Language via Interactive Learning

Paper • 1704.06956 • Published Apr 23, 2017
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration

Paper • 1802.08802 • Published Feb 24, 2018 • 1

AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

Paper • 2402.15506 • Published Feb 23, 2024 • 18
AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent

Paper • 2404.03648 • Published Apr 4, 2024 • 29
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts

Paper • 2405.19893 • Published May 30, 2024 • 33
Parrot: Efficient Serving of LLM-based Applications with Semantic Variable

Paper • 2405.19888 • Published May 30, 2024 • 7

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