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 291300 of 1135 papers

TitleStatusHype
SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic FinetuningCode1
LIONs: An Empirically Optimized Approach to Align Language ModelsCode1
Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMsCode1
MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMsCode1
The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language ModelsCode1
MM-Instruct: Generated Visual Instructions for Large Multimodal Model AlignmentCode1
Suri: Multi-constraint Instruction Following for Long-form Text GenerationCode1
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language ModelsCode1
RES-Q: Evaluating Code-Editing Large Language Model Systems at the Repository ScaleCode1
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMsCode1
Show:102550
← PrevPage 30 of 114Next →

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