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 1011–1020 of 1135 papers

TitleStatusHype
Knowledge-enhanced Agents for Interactive Text Games—0
MultiModal-GPT: A Vision and Language Model for Dialogue with HumansCode3
X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign LanguagesCode3
Otter: A Multi-Modal Model with In-Context Instruction TuningCode4
Retrieval Augmented Chest X-Ray Report Generation using OpenAI GPT models—0
Panda LLM: Training Data and Evaluation for Open-Sourced Chinese Instruction-Following Large Language ModelsCode3
Caption Anything: Interactive Image Description with Diverse Multimodal ControlsCode3
Plan, Eliminate, and Track -- Language Models are Good Teachers for Embodied Agents—0
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction ModelCode5
Enhancing Large Language Model with Self-Controlled Memory FrameworkCode1
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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