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 431–440 of 1135 papers

TitleStatusHype
LASeR: Learning to Adaptively Select Reward Models with Multi-Armed BanditsCode1
MedQA-CS: Benchmarking Large Language Models Clinical Skills Using an AI-SCE FrameworkCode1
Robin3D: Improving 3D Large Language Model via Robust Instruction TuningCode2
DeSTA2: Developing Instruction-Following Speech Language Model Without Speech Instruction-Tuning DataCode2
The Perfect Blend: Redefining RLHF with Mixture of Judges—0
Revisiting the Superficial Alignment Hypothesis—0
Ruler: A Model-Agnostic Method to Control Generated Length for Large Language ModelsCode1
Align^2LLaVA: Cascaded Human and Large Language Model Preference Alignment for Multi-modal Instruction CurationCode0
MMMT-IF: A Challenging Multimodal Multi-Turn Instruction Following Benchmark—0
Infer Human's Intentions Before Following Natural Language InstructionsCode1
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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