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 161–170 of 1135 papers

TitleStatusHype
LMDrive: Closed-Loop End-to-End Driving with Large Language ModelsCode2
CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-ExpertsCode2
AIR-Bench: Benchmarking Large Audio-Language Models via Generative ComprehensionCode2
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuningCode2
ExpertPrompting: Instructing Large Language Models to be Distinguished ExpertsCode2
LHRS-Bot-Nova: Improved Multimodal Large Language Model for Remote Sensing Vision-Language InterpretationCode2
CrystalFormer-RL: Reinforcement Fine-Tuning for Materials DesignCode2
GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist CollaborationCode2
Archon: An Architecture Search Framework for Inference-Time TechniquesCode2
Learning to Decode Collaboratively with Multiple Language ModelsCode2
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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