newsReddit r/MachineLearningTrust 52 · CommunityPublished 25d agoLive · 23d ago
What would a fair benchmark for agent architecture look like? [D]
I am working on an evaluation design and would appreciate criticism before running it. Most coding-agent benchmarks collapse the model and its harness into one score. If a run fails, it is difficult to tell whether the cause was model capability, context assembly, task decomposition, tool design, retry policy, or the acceptance gate. A model can also look worse because the harness truncated its output, or look better because the gate only checked for plau
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- PossiblePossibly related (embedding) · 64%PACE: A Proxy for Agentic Capability Evaluation →
- PossiblePossibly related (embedding) · 62%Are Performance-Optimization Benchmarks Reliably Measuring Coding Agents? →
- PossiblePossibly related (embedding) · 58%Reasoning effort, not tool access, buys first-try reliability in agentic code generation: an observational study →
- PossiblePossibly related (embedding) · 56%minghinmatthewlam/openbench →
- PossiblePossibly related (embedding) · 54%run-llama/ParseBench →
- PossiblePossibly related (embedding) · 55%Embodied-BenchForge: A Closed-Loop Agentic Workflow for Embodied Benchmark Construction →
- PossiblePossibly related (embedding) · 56%Beyond Outcomes: Dual-View Relational Learning for Efficient Agent Benchmarking →
- PossiblePossibly related (embedding) · 52%Fidelity Is Not Enough: Dispatch-Level Instrumentation for Agentic Datasheet Extraction →
Covers
paperPACE: A Proxy for Agentic Capability EvaluationpaperAre Performance-Optimization Benchmarks Reliably Measuring Coding Agents?paperReasoning effort, not tool access, buys first-try reliability in agentic code generation: an observational studyrepominghinmatthewlam/openbenchreporun-llama/ParseBench
Covers (incoming)
paperEmbodied-BenchForge: A Closed-Loop Agentic Workflow for Embodied Benchmark ConstructionpaperBeyond Outcomes: Dual-View Relational Learning for Efficient Agent BenchmarkingpaperFidelity Is Not Enough: Dispatch-Level Instrumentation for Agentic Datasheet ExtractionpaperEfficient SWE Agent Benchmarking via Trajectory-Aware EvaluationpaperEarlyEval: Cheaper Agent Evaluation via Early Outcome PredictionpaperCoding Agents Have Converged: Why the SWE-bench Leaderboard Can No Longer Order Its Top Entries, and What to Measure Instead
Related across the graph
paperAre Performance-Optimization Benchmarks Reliably Measuring Coding Agents?paperCoding Agents Have Converged: Why the SWE-bench Leaderboard Can No Longer Order Its Top Entries, and What to Measure InsteadpaperFidelity Is Not Enough: Dispatch-Level Instrumentation for Agentic Datasheet ExtractionpaperEfficient SWE Agent Benchmarking via Trajectory-Aware EvaluationpaperEarlyEval: Cheaper Agent Evaluation via Early Outcome PredictionpaperEmbodied-BenchForge: A Closed-Loop Agentic Workflow for Embodied Benchmark ConstructionpaperPACE: A Proxy for Agentic Capability EvaluationpaperReasoning effort, not tool access, buys first-try reliability in agentic code generation: an observational studyreporun-llama/ParseBenchpaperBeyond Outcomes: Dual-View Relational Learning for Efficient Agent Benchmarkingrepominghinmatthewlam/openbench
