LED(Q,P,H)

Reported on 4 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing4 results

Fact SelectiononArgSciChat
Fact-F1· 2022-02-14
8.5
best: 16.22 (TF-IDF)
ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Papers arXiv:2202.06690
Response GenerationonArgSciChat
BScore· 2022-02-14
86
best: 86.64 (LED(Q,F))
ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Papers arXiv:2202.06690
Response GenerationonArgSciChat
Message-F1· 2022-02-14
16.14
best: 19.54 (LED(Q,F))
ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Papers arXiv:2202.06690
Response GenerationonArgSciChat
Mover· 2022-02-14
4.54
best: 8.53 (LED(Q,F))
ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Papers arXiv:2202.06690