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 131140 of 1135 papers

TitleStatusHype
Chinese-Vicuna: A Chinese Instruction-following Llama-based ModelCode7
Improving Instruct Models for Free: A Study on Partial Adaptation0
A Dual-Space Framework for General Knowledge Distillation of Large Language ModelsCode1
RealWebAssist: A Benchmark for Long-Horizon Web Assistance with Real-World UsersCode1
How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise GradientsCode2
SIFT-50M: A Large-Scale Multilingual Dataset for Speech Instruction Fine-Tuning0
Playpen: An Environment for Exploring Learning Through Conversational InteractionCode0
Capybara-OMNI: An Efficient Paradigm for Building Omni-Modal Language Models0
VideoExpert: Augmented LLM for Temporal-Sensitive Video Understanding0
MM-IFEngine: Towards Multimodal Instruction FollowingCode2
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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