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 131–140 of 1135 papers

TitleStatusHype
F-LMM: Grounding Frozen Large Multimodal ModelsCode2
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuningCode2
GenAI Arena: An Open Evaluation Platform for Generative ModelsCode2
BLSP-Emo: Towards Empathetic Large Speech-Language ModelsCode2
Weak-to-Strong Search: Align Large Language Models via Searching over Small Language ModelsCode2
Self-Exploring Language Models: Active Preference Elicitation for Online AlignmentCode2
EditWorld: Simulating World Dynamics for Instruction-Following Image EditingCode2
Vikhr: Constructing a State-of-the-art Bilingual Open-Source Instruction-Following Large Language Model for RussianCode2
Grounded 3D-LLM with Referent TokensCode2
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