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 601610 of 1135 papers

TitleStatusHype
MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive TrainingCode0
How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning PerspectiveCode0
How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their VulnerabilitiesCode0
Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation PredictionCode0
How You Prompt Matters! Even Task-Oriented Constraints in Instructions Affect LLM-Generated Text DetectionCode0
HREF: Human Response-Guided Evaluation of Instruction Following in Language ModelsCode0
IWISDM: Assessing instruction following in multimodal models at scaleCode0
A Framework for Fine-Tuning LLMs using Heterogeneous Feedback0
M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation0
Magistral0
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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