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Benchmarks
Question Answering over Tables and Text on HybridQA
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91
Accuracy
ToT
63.96
70.98
78
85.02
Mar 6, 2026
Accuracy
Average Input Tokens
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
Average Input Tokens
ToT
Backbone=Qwen3-30B
2026.03
91
12,355
RouteGoT
Model Pool={Qwen3-4B,...
2026.03
91
14,743
GoT*
Backbone=Qwen3-30B
2026.03
88
65,134
CoT
Backbone=Qwen3-30B
2026.03
84
10,239
AGoT
Backbone=Qwen3-30B
2026.03
84
112,953
Random
Model Pool={Qwen3-4B,...
2026.03
70
21,138
KNN
Model Pool={Qwen3-4B,...
2026.03
68
20,686
RTR
Model Pool={Qwen3-4B,...
2026.03
68
20,839
IO
Backbone=Qwen3-30B
2026.03
67
10,462
EmbedLLM
Model Pool={Qwen3-4B,...
2026.03
66
21,875
RouteLLM
Model Pool={Qwen3-4B,...
2026.03
65
20,652
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