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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1061–1070 of 1135 papers

TitleStatusHype
Multi-Task Instruction Tuning of LLaMa for Specific Scenarios: A Preliminary Study on Writing Assistance—0
Multimodal Web Navigation with Instruction-Finetuned Foundation Models—0
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach—0
Knowledge-enhanced Agents for Interactive Text Games—0
Accessible Instruction-Following Agent—0
Retrieval Augmented Chest X-Ray Report Generation using OpenAI GPT models—0
Plan, Eliminate, and Track -- Language Models are Good Teachers for Embodied Agents—0
A Comparative Study between Full-Parameter and LoRA-based Fine-Tuning on Chinese Instruction Data for Instruction Following Large Language Model—0
Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following—0
ChatGPT is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models—0
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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