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 951–960 of 1135 papers

TitleStatusHype
SAIF: A Sparse Autoencoder Framework for Interpreting and Steering Instruction Following of Language Models—0
SAIL: Search-Augmented Instruction Learning—0
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation—0
SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain—0
Scalable Ensembling For Mitigating Reward Overoptimisation—0
Scalable Vision Language Model Training via High Quality Data Curation—0
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting—0
Video Instruction Tuning With Synthetic Data—0
Video Unlearning via Low-Rank Refusal Vector—0
Argument Quality Assessment in the Age of Instruction-Following 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