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 101–110 of 1135 papers

TitleStatusHype
CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-ExpertsCode2
Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task ArithmeticCode2
Autonomous Improvement of Instruction Following Skills via Foundation ModelsCode2
Aligning Modalities in Vision Large Language Models via Preference Fine-tuningCode2
InFoBench: Evaluating Instruction Following Ability in Large Language ModelsCode2
A Critical Evaluation of AI Feedback for Aligning Large Language ModelsCode2
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language ModelsCode2
CrystalFormer-RL: Reinforcement Fine-Tuning for Materials DesignCode2
AutoDefense: Multi-Agent LLM Defense against Jailbreak AttacksCode2
DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model with Self-Generated Cross-Modal AlignmentCode2
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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