Bottom-up Llama 2 (7B)

Reported on 4 benchmarks across 1 task · 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

Discourse ParsingonRST-DT
Standard Parseval (Full)· 2024-03-08
55.8
best: 58.1 (Bottom-up Llama 2 (70B))
Can we obtain significant success in RST discourse parsing by using Large Language Models?arXiv:2403.05065
Discourse ParsingonRST-DT
Standard Parseval (Nuclearity)· 2024-03-08
67.5
best: 70.4 (Bottom-up Llama 2 (70B))
Can we obtain significant success in RST discourse parsing by using Large Language Models?arXiv:2403.05065
Discourse ParsingonRST-DT
Standard Parseval (Relation)· 2024-03-08
57.6
best: 60 (Bottom-up Llama 2 (70B))
Can we obtain significant success in RST discourse parsing by using Large Language Models?arXiv:2403.05065
Discourse ParsingonRST-DT
Standard Parseval (Span)· 2024-03-08
78.2
best: 79.8 (Bottom-up Llama 2 (70B))
Can we obtain significant success in RST discourse parsing by using Large Language Models?arXiv:2403.05065