List your company

Search-based Question Answering on BrowseComp-Plus

83.1AccuracyPI-SERINI (m)
43.5853.8464.174.36May 11, 2026May 16, 2026May 21, 2026May 27, 2026Jun 1, 2026Jun 6, 2026Jun 12, 2026

Evaluation results

MethodLinks
PI-SERINI (m)LLM=gpt-5.5, Retriever=bm252026.0583.115.7291.694.794.473.672.958.956.1
PI-SERINI (i)LLM=gpt-5, Retriever=bm252026.0574.67.294.990.593.862.77045.756.2
PI-SERINI (l)LLM=gpt-5.4, Retriever=bm252026.0573.39.2175.593.895.370.366.951.858.1
DR-DCI + Workspace-Preserving Context ResetAvg. Tools=38.37, Avg. Turns=34.06, Avg. Wall=176.13s, Cost=$39.352026.0673.25————————
Chen et al. (2025) (d)LLM=gpt-5, Retriever=qwen3-embed-8b2026.05739.7360.77981.3————
PI-SERINI (o)LLM=deepseek-v4-pro, Retriever=bm252026.0571.4755.191.392.5606345.450.6
DR-DCIAvg. Tools=30.94, Avg. Turns=31.46, Avg. Wall=146.16s, Cost=$34.912026.0671.2————————
PI-SERINI (j)LLM=gpt-5.2, Retriever=bm252026.0570.56.2122.289.992.860.567.344.854.5
PI-SERINI (h)LLM=claude-opus-4.7, Retriever=bm252026.0569.810.2246.681.286.843.352.530.443
Chen et al. (2026) (f)LLM=Tongyi-DR, Retriever=AgentIR-4B2026.0568.1——79.2—————
PI-SERINI (k)LLM=gpt-5.4-mini, Retriever=bm252026.0568.113.786.291.994.160.165.443.152.1
PI-SERINI (n)LLM=deepseek-v4-flash, Retriever=bm252026.0568.115.528.994.595.767.969.955.260.6
Chen et al. (2025) (b)LLM=o3, Retriever=qwen3-embed-8b2026.0566.332.7740.873.276.3————
Raw-DCI / DCI-Agent-LiteAvg. Tools=37.53, Avg. Turns=38.24, Avg. Wall=3139.10s, Cost=$88.132026.0662.9————————
Chen et al. (2025) (c)LLM=gpt-5, Retriever=bm252026.0558.313.5400.461.766.5————
PI-SERINI (g)LLM=claude-haiku-4.5, Retriever=bm252026.0554.817.3193.594.195.458.260.140.946.3
Chen et al. (2025) (a)LLM=o3, Retriever=bm252026.0550.839.1836.456.661.7————
Meng et al. (2026) (e)LLM=gpt-5.2, Retriever=qwen3-embed-8b2026.0545.1—1—74.7————