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 281–290 of 1135 papers

TitleStatusHype
ProgCo: Program Helps Self-Correction of Large Language ModelsCode0
Towards Interactive Deepfake AnalysisCode0
HSI-GPT: A General-Purpose Large Scene-Motion-Language Model for Human Scene Interaction—0
SLADE: Shielding against Dual Exploits in Large Vision-Language Models—0
MIMO: A Medical Vision Language Model with Visual Referring Multimodal Input and Pixel Grounding Multimodal OutputCode0
TinyHelen's First Curriculum: Training and Evaluating Tiny Language Models in a Simpler Language EnvironmentCode1
Find the Intention of Instruction: Comprehensive Evaluation of Instruction Understanding for Large Language ModelsCode0
Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following—0
Internalized Self-Correction for Large Language Models—0
LearnLM: Improving Gemini for Learning—0
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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