SOTAVerified

Instruction Following

Instruction following is the basic task of the model. This task is dedicated to evaluating the ability of the large model to follow human instructions. It is hoped that the model can generate controllable and safe answers.

Papers

Showing 421430 of 1135 papers

TitleStatusHype
"No, to the Right" -- Online Language Corrections for Robotic Manipulation via Shared AutonomyCode1
On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot ReasoningCode1
Language-Conditioned Reinforcement Learning to Solve Misunderstandings with Action CorrectionsCode1
Instruction-Following Agents with Multimodal TransformerCode1
DANLI: Deliberative Agent for Following Natural Language InstructionsCode1
Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft PromptCode1
Engineering flexible machine learning systems by traversing functionally-invariant pathsCode1
Inferring Rewards from Language in ContextCode1
Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language NavigationCode1
Combining Modular Skills in Multitask LearningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88Unverified
3GPT-4Inst-level loose-accuracy85.37Unverified
4PaLM 2 SInst-level loose-accuracy59.11Unverified