pith. sign in

The number of key points varies among samples

1 Pith paper cite this work. Polarity classification is still indexing.

1 Pith paper citing it

fields

cs.AI 1

years

2023 1

verdicts

UNVERDICTED 1

representative citing papers

AgentBench: Evaluating LLMs as Agents

cs.AI · 2023-08-07 · unverdicted · novelty 8.0

AgentBench is a new multi-environment benchmark showing commercial LLMs outperform open-source models up to 70B parameters in agent tasks mainly due to better long-term reasoning and instruction following.

citing papers explorer

Showing 1 of 1 citing paper.

  • AgentBench: Evaluating LLMs as Agents cs.AI · 2023-08-07 · unverdicted · none · ref 19

    AgentBench is a new multi-environment benchmark showing commercial LLMs outperform open-source models up to 70B parameters in agent tasks mainly due to better long-term reasoning and instruction following.