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 871–880 of 1135 papers

TitleStatusHype
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation—0
X-Instruction: Aligning Language Model in Low-resource Languages with Self-curated Cross-lingual InstructionsCode0
BLSP-KD: Bootstrapping Language-Speech Pre-training via Knowledge Distillation—0
X-VILA: Cross-Modality Alignment for Large Language Model—0
Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum LearningCode0
Self-Corrected Multimodal Large Language Model for End-to-End Robot Manipulation—0
RE-Adapt: Reverse Engineered Adaptation of Large Language Models—0
From Role-Play to Drama-Interaction: An LLM Solution—0
Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax ReductionCode0
Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning—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