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Agent-as-a-Judge
🤖 Agent-as-a-Judge: Evaluate Agents with Agents
The paper detail a new framework for evaluating agentic systems called Agent-as-a-Judge, which uses other agentic systems to assess their performance. To test this framework, the authors created DevAI, a benchmark dataset consisting of 55 realistic automated AI development tasks. They compared Agent-as-a-Judge to LLM-as-a-Judge and Human-as-a-Judge on DevAI, finding that Agent-as-a-Judge outperforms both, aligning closely with human evaluations. The authors also discuss the benefits of Agent-as-a-Judge for providing intermediate feedback and creating a flywheel effect, where both the judge and evaluated agents improve through an iterative process.
📎 Link to paper
🤗 See their HuggingFace
The paper detail a new framework for evaluating agentic systems called Agent-as-a-Judge, which uses other agentic systems to assess their performance. To test this framework, the authors created DevAI, a benchmark dataset consisting of 55 realistic automated AI development tasks. They compared Agent-as-a-Judge to LLM-as-a-Judge and Human-as-a-Judge on DevAI, finding that Agent-as-a-Judge outperforms both, aligning closely with human evaluations. The authors also discuss the benefits of Agent-as-a-Judge for providing intermediate feedback and creating a flywheel effect, where both the judge and evaluated agents improve through an iterative process.
📎 Link to paper
🤗 See their HuggingFace
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By Shahriar Shariati🤖 Agent-as-a-Judge: Evaluate Agents with Agents
The paper detail a new framework for evaluating agentic systems called Agent-as-a-Judge, which uses other agentic systems to assess their performance. To test this framework, the authors created DevAI, a benchmark dataset consisting of 55 realistic automated AI development tasks. They compared Agent-as-a-Judge to LLM-as-a-Judge and Human-as-a-Judge on DevAI, finding that Agent-as-a-Judge outperforms both, aligning closely with human evaluations. The authors also discuss the benefits of Agent-as-a-Judge for providing intermediate feedback and creating a flywheel effect, where both the judge and evaluated agents improve through an iterative process.
📎 Link to paper
🤗 See their HuggingFace
The paper detail a new framework for evaluating agentic systems called Agent-as-a-Judge, which uses other agentic systems to assess their performance. To test this framework, the authors created DevAI, a benchmark dataset consisting of 55 realistic automated AI development tasks. They compared Agent-as-a-Judge to LLM-as-a-Judge and Human-as-a-Judge on DevAI, finding that Agent-as-a-Judge outperforms both, aligning closely with human evaluations. The authors also discuss the benefits of Agent-as-a-Judge for providing intermediate feedback and creating a flywheel effect, where both the judge and evaluated agents improve through an iterative process.
📎 Link to paper
🤗 See their HuggingFace