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 10611070 of 1135 papers

TitleStatusHype
Language Models are General-Purpose Interfaces0
GoalNet: Inferring Conjunctive Goal Predicates from Human Plan Demonstrations for Robot Instruction FollowingCode0
Engineering flexible machine learning systems by traversing functionally-invariant pathsCode1
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP TasksCode3
Inferring Rewards from Language in ContextCode1
Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language NavigationCode1
Summarizing a virtual robot's past actions in natural language0
Combining Modular Skills in Multitask LearningCode1
DialFRED: Dialogue-Enabled Agents for Embodied Instruction FollowingCode1
Compositionality as Lexical SymmetryCode0
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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