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 181–190 of 1135 papers

TitleStatusHype
F-LMM: Grounding Frozen Large Multimodal ModelsCode2
CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language ModelCode2
Direct Preference Optimization of Video Large Multimodal Models from Language Model RewardCode2
BuboGPT: Enabling Visual Grounding in Multi-Modal LLMsCode2
Learning to Decode Collaboratively with Multiple Language ModelsCode2
From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language ModelsCode2
Lion: Adversarial Distillation of Proprietary Large Language ModelsCode2
MiniLLM: Knowledge Distillation of Large Language ModelsCode2
DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model with Self-Generated Cross-Modal AlignmentCode2
Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task ArithmeticCode2
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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