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

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Showing 1051–1060 of 1135 papers

TitleStatusHype
UGIF: UI Grounded Instruction Following—0
Learning to Follow Instructions in Text-Based GamesCode0
Prompter: Utilizing Large Language Model Prompting for a Data Efficient Embodied Instruction Following—0
Instruction-Following Agents with Multimodal TransformerCode1
DANLI: Deliberative Agent for Following Natural Language InstructionsCode1
Don't Copy the Teacher: Data and Model Challenges in Embodied DialogueCode0
Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft PromptCode1
A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning—0
Iterative Vision-and-Language Navigation—0
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and ActionCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4—Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88—Unverified
3GPT-4Inst-level loose-accuracy85.37—Unverified
4PaLM 2 SInst-level loose-accuracy59.11—Unverified