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 171–180 of 1135 papers

TitleStatusHype
Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task ArithmeticCode2
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free LunchCode2
MM-IFEngine: Towards Multimodal Instruction FollowingCode2
ExpertPrompting: Instructing Large Language Models to be Distinguished ExpertsCode2
MiniLLM: Knowledge Distillation of Large Language ModelsCode2
BuboGPT: Enabling Visual Grounding in Multi-Modal LLMsCode2
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction FollowingCode2
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language ModelsCode2
CrystalFormer-RL: Reinforcement Fine-Tuning for Materials DesignCode2
CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-ExpertsCode2
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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