EgoBench: An Interactive Egocentric Multimodal Benchmark for Tool-Using Agents
cs.AI
Submitted: 2026-05-27
Updated: 2026-10-08
Code: https://github.com/Wind-Flipped/EgoBench
Terminology
Sources
- Qwen3-VL Technical Report
- $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
- User Simulation with Large Language Models for Evaluating Task-Oriented Dialogue
- A Survey on Code Generation with LLM-based Agents
- Beyond Seeing: Evaluating Multimodal LLMs on Tool-Enabled Image Perception, Transformation, and Reasoning
- AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World Contexts
- Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models
- Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
- GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
- MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers
- $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains
- LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging Queries
- UserLM-R1: Modeling Human Reasoning in User Language Models with Multi-Reward Reinforcement Learning
- ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario
- M^3-Bench: Multi-Modal, Multi-Hop, Multi-Threaded Tool-Using MLLM Agent Benchmark
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